Merge branch 'feature-random-numbers' into 'develop'

Updated random numbers

See merge request !107
This commit is contained in:
Andrew Heather
2017-04-28 10:11:18 +01:00
109 changed files with 658 additions and 1053 deletions

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@ -46,7 +46,7 @@ int main(int argc, char *argv[])
scalarField samples(10000000);
forAll(samples, i)
{
samples[i] = rndGen.scalar01();
samples[i] = rndGen.sample01<scalar>();
}
const scalar min = 0;

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@ -71,7 +71,7 @@ int main(int argc, char *argv[])
for (label i = 0; i < randomDistributionTestSize; i++)
{
dS.add(2.5*R.GaussNormal() + 8.5);
dS.add(2.5*R.GaussNormal<scalar>() + 8.5);
}
Info<< "Mean " << dS.mean() << nl
@ -90,7 +90,7 @@ int main(int argc, char *argv[])
for (label i = 0; i < randomDistributionTestSize; i++)
{
dS2.add(1.5*R.GaussNormal() -6.0);
dS2.add(1.5*R.GaussNormal<scalar>() -6.0);
}
Info<< "Mean " << dS2.mean() << nl
@ -121,7 +121,7 @@ int main(int argc, char *argv[])
for (label i = 0; i < randomDistributionTestSize; i++)
{
dS.add(R.scalar01() + 10*Pstream::myProcNo());
dS.add(R.sample01<scalar>() + 10*Pstream::myProcNo());
}
Pout<< "Mean " << dS.mean() << nl
@ -155,7 +155,7 @@ int main(int argc, char *argv[])
for (label i = 0; i < randomDistributionTestSize; i++)
{
dV.add(R.vector01());
dV.add(R.sample01<vector>());
// Adding separate GaussNormal components with component
// weights
@ -164,9 +164,9 @@ int main(int argc, char *argv[])
(
vector
(
R.GaussNormal()*3.0 + 1.5,
R.GaussNormal()*0.25 + 4.0,
R.GaussNormal()*3.0 - 1.5
R.GaussNormal<scalar>()*3.0 + 1.5,
R.GaussNormal<scalar>()*0.25 + 4.0,
R.GaussNormal<scalar>()*3.0 - 1.5
),
vector(1.0, 2.0, 5.0)
);
@ -225,7 +225,7 @@ int main(int argc, char *argv[])
for (label i = 0; i < randomDistributionTestSize; i++)
{
dT.add(R.tensor01());
dT.add(R.sample01<tensor>());
}
Info<< "Mean " << dT.mean() << nl
@ -249,7 +249,7 @@ int main(int argc, char *argv[])
for (label i = 0; i < randomDistributionTestSize; i++)
{
dSyT.add(R.symmTensor01());
dSyT.add(R.sample01<symmTensor>());
}
Info<< "Mean " << dSyT.mean() << nl
@ -273,7 +273,7 @@ int main(int argc, char *argv[])
for (label i = 0; i < randomDistributionTestSize; i++)
{
dSpT.add(R.sphericalTensor01());
dSpT.add(R.sample01<sphericalTensor>());
}
Info<< "Mean " << dSpT.mean() << nl

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@ -152,7 +152,7 @@ int main(int argc, char *argv[])
Random rnd(123456);
for (int i=0; i<10; i++)
{
scalar x = rnd.scalar01()*100;
scalar x = rnd.sample01<scalar>()*100;
scalar px = polyValue(x);
scalar ipx = intPolyValue(x);

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@ -293,9 +293,9 @@ inline Foam::point Foam::conformalVoronoiMesh::perturbPoint
scalar pert = 1e-12*defaultCellSize();
perturbedPt.x() += pert*(rndGen_.scalar01() - 0.5);
perturbedPt.y() += pert*(rndGen_.scalar01() - 0.5);
perturbedPt.z() += pert*(rndGen_.scalar01() - 0.5);
perturbedPt.x() += pert*(rndGen_.sample01<scalar>() - 0.5);
perturbedPt.y() += pert*(rndGen_.sample01<scalar>() - 0.5);
perturbedPt.z() += pert*(rndGen_.sample01<scalar>() - 0.5);
return perturbedPt;
}

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@ -553,11 +553,11 @@ bool Foam::autoDensity::fillBox
+ vector
(
delta.x()
*(i + 0.5 + 0.1*(rndGen().scalar01() - 0.5)),
*(i + 0.5 + 0.1*(rndGen().sample01<scalar>() - 0.5)),
delta.y()
*(j + 0.5 + 0.1*(rndGen().scalar01() - 0.5)),
*(j + 0.5 + 0.1*(rndGen().sample01<scalar>() - 0.5)),
delta.z()
*(k + 0.5 + 0.1*(rndGen().scalar01() - 0.5))
*(k + 0.5 + 0.1*(rndGen().sample01<scalar>() - 0.5))
);
}
}
@ -662,7 +662,7 @@ bool Foam::autoDensity::fillBox
// TODO - is there a lot of cost in the 1/density calc? Could
// assess on
// (1/maxDensity)/(1/localDensity) = minVolume/localVolume
if (localDensity/maxDensity > rndGen().scalar01())
if (localDensity/maxDensity > rndGen().sample01<scalar>())
{
scalar localVolume = 1/localDensity;
@ -675,7 +675,7 @@ bool Foam::autoDensity::fillBox
scalar addProbability =
(totalVolume - volumeAdded)/localVolume;
scalar r = rndGen().scalar01();
scalar r = rndGen().sample01<scalar>();
if (debug)
{
@ -729,7 +729,7 @@ bool Foam::autoDensity::fillBox
{
trialPoints++;
point p = min + cmptMultiply(span, rndGen().vector01());
point p = min + cmptMultiply(span, rndGen().sample01<vector>());
scalar localSize = cellShapeControls().cellSize(p);
@ -785,7 +785,7 @@ bool Foam::autoDensity::fillBox
// Accept possible placements proportional to the relative local
// density
if (localDensity/maxDensity > rndGen().scalar01())
if (localDensity/maxDensity > rndGen().sample01<scalar>())
{
scalar localVolume = 1/localDensity;
@ -798,7 +798,7 @@ bool Foam::autoDensity::fillBox
scalar addProbability =
(totalVolume - volumeAdded)/localVolume;
scalar r = rndGen().scalar01();
scalar r = rndGen().sample01<scalar>();
if (debug)
{

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@ -129,9 +129,9 @@ List<Vb::Point> bodyCentredCubic::initialPoints() const
if (randomiseInitialGrid_)
{
pA.x() += pert*(rndGen().scalar01() - 0.5);
pA.y() += pert*(rndGen().scalar01() - 0.5);
pA.z() += pert*(rndGen().scalar01() - 0.5);
pA.x() += pert*(rndGen().sample01<scalar>() - 0.5);
pA.y() += pert*(rndGen().sample01<scalar>() - 0.5);
pA.z() += pert*(rndGen().sample01<scalar>() - 0.5);
}
if (Pstream::parRun())
@ -150,9 +150,9 @@ List<Vb::Point> bodyCentredCubic::initialPoints() const
if (randomiseInitialGrid_)
{
pB.x() += pert*(rndGen().scalar01() - 0.5);
pB.y() += pert*(rndGen().scalar01() - 0.5);
pB.z() += pert*(rndGen().scalar01() - 0.5);
pB.x() += pert*(rndGen().sample01<scalar>() - 0.5);
pB.y() += pert*(rndGen().sample01<scalar>() - 0.5);
pB.z() += pert*(rndGen().sample01<scalar>() - 0.5);
}
if (Pstream::parRun())

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@ -127,9 +127,9 @@ List<Vb::Point> faceCentredCubic::initialPoints() const
if (randomiseInitialGrid_)
{
p.x() += pert*(rndGen().scalar01() - 0.5);
p.y() += pert*(rndGen().scalar01() - 0.5);
p.z() += pert*(rndGen().scalar01() - 0.5);
p.x() += pert*(rndGen().sample01<scalar>() - 0.5);
p.y() += pert*(rndGen().sample01<scalar>() - 0.5);
p.z() += pert*(rndGen().sample01<scalar>() - 0.5);
}
if (Pstream::parRun())
@ -155,9 +155,9 @@ List<Vb::Point> faceCentredCubic::initialPoints() const
if (randomiseInitialGrid_)
{
p.x() += pert*(rndGen().scalar01() - 0.5);
p.y() += pert*(rndGen().scalar01() - 0.5);
p.z() += pert*(rndGen().scalar01() - 0.5);
p.x() += pert*(rndGen().sample01<scalar>() - 0.5);
p.y() += pert*(rndGen().sample01<scalar>() - 0.5);
p.z() += pert*(rndGen().sample01<scalar>() - 0.5);
}
if (Pstream::parRun())
@ -183,9 +183,9 @@ List<Vb::Point> faceCentredCubic::initialPoints() const
if (randomiseInitialGrid_)
{
p.x() += pert*(rndGen().scalar01() - 0.5);
p.y() += pert*(rndGen().scalar01() - 0.5);
p.z() += pert*(rndGen().scalar01() - 0.5);
p.x() += pert*(rndGen().sample01<scalar>() - 0.5);
p.y() += pert*(rndGen().sample01<scalar>() - 0.5);
p.z() += pert*(rndGen().sample01<scalar>() - 0.5);
}
if (Pstream::parRun())
@ -211,9 +211,9 @@ List<Vb::Point> faceCentredCubic::initialPoints() const
if (randomiseInitialGrid_)
{
p.x() += pert*(rndGen().scalar01() - 0.5);
p.y() += pert*(rndGen().scalar01() - 0.5);
p.z() += pert*(rndGen().scalar01() - 0.5);
p.x() += pert*(rndGen().sample01<scalar>() - 0.5);
p.y() += pert*(rndGen().sample01<scalar>() - 0.5);
p.z() += pert*(rndGen().sample01<scalar>() - 0.5);
}
if (Pstream::parRun())

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@ -198,9 +198,15 @@ List<Vb::Point> pointFile::initialPoints() const
if (randomiseInitialGrid_)
{
p.x() += randomPerturbationCoeff_*(rndGen().scalar01() - 0.5);
p.y() += randomPerturbationCoeff_*(rndGen().scalar01() - 0.5);
p.z() += randomPerturbationCoeff_*(rndGen().scalar01() - 0.5);
p.x() +=
randomPerturbationCoeff_
*(rndGen().sample01<scalar>() - 0.5);
p.y() +=
randomPerturbationCoeff_
*(rndGen().sample01<scalar>() - 0.5);
p.z() +=
randomPerturbationCoeff_
*(rndGen().sample01<scalar>() - 0.5);
}
initialPoints.append(Vb::Point(p.x(), p.y(), p.z()));

View File

@ -86,9 +86,9 @@ void rayShooting::splitLine
{
Foam::point newPt
(
midPoint.x() + pert*(rndGen().scalar01() - 0.5),
midPoint.y() + pert*(rndGen().scalar01() - 0.5),
midPoint.z() + pert*(rndGen().scalar01() - 0.5)
midPoint.x() + pert*(rndGen().sample01<scalar>() - 0.5),
midPoint.y() + pert*(rndGen().sample01<scalar>() - 0.5),
midPoint.z() + pert*(rndGen().sample01<scalar>() - 0.5)
);
if

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@ -128,9 +128,9 @@ List<Vb::Point> uniformGrid::initialPoints() const
if (randomiseInitialGrid_)
{
p.x() += pert*(rndGen().scalar01() - 0.5);
p.y() += pert*(rndGen().scalar01() - 0.5);
p.z() += pert*(rndGen().scalar01() - 0.5);
p.x() += pert*(rndGen().sample01<scalar>() - 0.5);
p.y() += pert*(rndGen().sample01<scalar>() - 0.5);
p.z() += pert*(rndGen().sample01<scalar>() - 0.5);
}
if

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@ -264,8 +264,8 @@ void Foam::CV2D::insertGrid()
if (meshControls().randomiseInitialGrid())
{
p.x() += pert*(rndGen.scalar01() - 0.5);
p.y() += pert*(rndGen.scalar01() - 0.5);
p.x() += pert*(rndGen.sample01<scalar>() - 0.5);
p.y() += pert*(rndGen.sample01<scalar>() - 0.5);
}
if (qSurf_.wellInside(p, 0.5*meshControls().minCellSize2()))

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@ -20,7 +20,7 @@
const fileName pdfPath = runTime.path()/"pdf";
mkDir(pdfPath);
cachedRandom rndGen(label(0), -1);
Random rndGen;
autoPtr<distributionModels::distributionModel> p
(

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@ -783,7 +783,7 @@ labelPair edgeIntersectionsAndShuffleCGAL
const edge& e = edges[edgeI];
forAll(e, eI)
{
vector d = rndGen.vector01()-p05;
vector d = rndGen.sample01<vector>() - p05;
surf1Points[mp[e[eI]]] += surf1PointTol[e[eI]]*d;
}
}

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@ -125,9 +125,9 @@ int main(int argc, char *argv[])
<< "No eigenValues found, shape may have symmetry, "
<< "perturbing inertia tensor diagonal" << endl;
J.xx() *= 1.0 + SMALL*rand.scalar01();
J.yy() *= 1.0 + SMALL*rand.scalar01();
J.zz() *= 1.0 + SMALL*rand.scalar01();
J.xx() *= 1.0 + SMALL*rand.sample01<scalar>();
J.yy() *= 1.0 + SMALL*rand.sample01<scalar>();
J.zz() *= 1.0 + SMALL*rand.sample01<scalar>();
eVal = eigenValues(J);

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@ -59,7 +59,6 @@ Description
#include <link.h>
#include <netinet/in.h>
#ifdef USE_RANDOM
#include <climits>
#if INT_MAX != 2147483647
@ -1430,6 +1429,15 @@ Foam::fileNameList Foam::dlLoaded()
return libs;
}
Foam::label Foam::osRandomBufferSize()
{
#ifdef USE_RANDOM
return sizeof(random_data);
#else
return sizeof(drand48_data);
#endif
}
void Foam::osRandomSeed(const label seed)
{
@ -1461,4 +1469,42 @@ Foam::scalar Foam::osRandomDouble()
}
void Foam::osRandomSeed(const label seed, List<char>& buffer)
{
#ifdef USE_RANDOM
srandom_r((unsigned int)seed, reinterpret_cast<random_data*>(buffer.begin()));
#else
srand48_r(seed, reinterpret_cast<drand48_data*>(buffer.begin()));
#endif
}
Foam::label Foam::osRandomInteger(List<char>& buffer)
{
#ifdef USE_RANDOM
int32_t result;
random_r(reinterpret_cast<random_data*>(buffer.begin()), &result);
return result;
#else
long result;
lrand48_r(reinterpret_cast<drand48_data*>(buffer.begin()), &result);
return result;
#endif
}
Foam::scalar Foam::osRandomDouble(List<char>& buffer)
{
#ifdef USE_RANDOM
int32_t result;
random_r(reinterpret_cast<random_data*>(buffer.begin()), &result);
return (scalar)result/INT_MAX;
#else
double result;
drand48_r(reinterpret_cast<drand48_data*>(buffer.begin()), &result);
return result;
#endif
}
// ************************************************************************* //

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@ -111,7 +111,6 @@ $(sha1)/SHA1.C
$(sha1)/SHA1Digest.C
primitives/random/Random/Random.C
primitives/random/cachedRandom/cachedRandom.C
ranges = primitives/ranges
$(ranges)/labelRange/labelRange.C

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@ -245,6 +245,18 @@ label osRandomInteger();
//- Return random double precision (uniform distribution between 0 and 1)
scalar osRandomDouble();
//- Return the size of the buffer for re-entrant random number generator
label osRandomBufferSize();
//- Seed random number generator.
void osRandomSeed(const label seed, List<char>& buffer);
//- Return random integer (uniform distribution between 0 and 2^31)
label osRandomInteger(List<char>& buffer);
//- Return random double precision (uniform distribution between 0 and 1)
scalar osRandomDouble(List<char>& buffer);
// * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * //

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@ -42,7 +42,6 @@ SourceFiles
#include "point.H"
#include "primitiveFieldsFwd.H"
#include "pointHit.H"
#include "cachedRandom.H"
#include "Random.H"
#include "FixedList.H"
#include "UList.H"
@ -239,10 +238,6 @@ public:
// uniform distribution
inline Point randomPoint(Random& rndGen) const;
//- Return a random point in the tetrahedron from a
// uniform distribution
inline Point randomPoint(cachedRandom& rndGen) const;
//- Calculate the barycentric coordinates of the given
// point, in the same order as a, b, c, d. Returns the
// determinant of the solution.

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@ -249,42 +249,6 @@ inline Point Foam::tetrahedron<Point, PointRef>::randomPoint
// Adapted from
// http://vcg.isti.cnr.it/activities/geometryegraphics/pointintetraedro.html
scalar s = rndGen.scalar01();
scalar t = rndGen.scalar01();
scalar u = rndGen.scalar01();
if (s + t > 1.0)
{
s = 1.0 - s;
t = 1.0 - t;
}
if (t + u > 1.0)
{
scalar tmp = u;
u = 1.0 - s - t;
t = 1.0 - tmp;
}
else if (s + t + u > 1.0)
{
scalar tmp = u;
u = s + t + u - 1.0;
s = 1.0 - t - tmp;
}
return (1 - s - t - u)*a_ + s*b_ + t*c_ + u*d_;
}
template<class Point, class PointRef>
inline Point Foam::tetrahedron<Point, PointRef>::randomPoint
(
cachedRandom& rndGen
) const
{
// Adapted from
// http://vcg.isti.cnr.it/activities/geometryegraphics/pointintetraedro.html
scalar s = rndGen.sample01<scalar>();
scalar t = rndGen.sample01<scalar>();
scalar u = rndGen.sample01<scalar>();

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@ -40,7 +40,6 @@ SourceFiles
#include "tensor.H"
#include "pointHit.H"
#include "Random.H"
#include "cachedRandom.H"
#include "FixedList.H"
#include "UList.H"
#include "linePointRef.H"
@ -238,10 +237,6 @@ public:
// distribution
inline Point randomPoint(Random& rndGen) const;
//- Return a random point on the triangle from a uniform
// distribution
inline Point randomPoint(cachedRandom& rndGen) const;
//- Calculate the barycentric coordinates of the given
// point, in the same order as a, b, c. Returns the
// determinant of the solution.

View File

@ -249,25 +249,6 @@ inline Point Foam::triangle<Point, PointRef>::randomPoint(Random& rndGen) const
// from "Graphics Gems", Academic Press, 1990
// http://tog.acm.org/GraphicsGems/gems/TriPoints.c
scalar s = rndGen.scalar01();
scalar t = sqrt(rndGen.scalar01());
return (1 - t)*a_ + (1 - s)*t*b_ + s*t*c_;
}
template<class Point, class PointRef>
inline Point Foam::triangle<Point, PointRef>::randomPoint
(
cachedRandom& rndGen
) const
{
// Generating Random Points in Triangles
// by Greg Turk
// from "Graphics Gems", Academic Press, 1990
// http://tog.acm.org/GraphicsGems/gems/TriPoints.c
scalar s = rndGen.sample01<scalar>();
scalar t = sqrt(rndGen.sample01<scalar>());

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@ -335,7 +335,7 @@ public:
label distanceCmp(const point& pt, const treeBoundBox& other) const;
//- Return slightly wider bounding box
// Extends all dimensions with s*span*Random::scalar01()
// Extends all dimensions with s*span*Random::sample01<scalar>()
// and guarantees in any direction s*mag(span) minimum width
inline treeBoundBox extend(Random& rndGen, const scalar s) const;

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@ -336,8 +336,8 @@ inline Foam::treeBoundBox Foam::treeBoundBox::extend
newSpan[dir] = Foam::max(newSpan[dir], minSpan);
}
bb.min() -= cmptMultiply(s * rndGen.vector01(), newSpan);
bb.max() += cmptMultiply(s * rndGen.vector01(), newSpan);
bb.min() -= cmptMultiply(s*rndGen.sample01<vector>(), newSpan);
bb.max() += cmptMultiply(s*rndGen.sample01<vector>(), newSpan);
return bb;
}

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@ -3,7 +3,7 @@
\\ / F ield | OpenFOAM: The Open Source CFD Toolbox
\\ / O peration |
\\ / A nd | Copyright (C) 2011-2015 OpenFOAM Foundation
\\/ M anipulation |
\\/ M anipulation | Copyright (C) 2017 OpenCFD Ltd.
-------------------------------------------------------------------------------
License
This file is part of OpenFOAM.
@ -25,173 +25,237 @@ License
#include "Random.H"
#include "OSspecific.H"
#include "PstreamReduceOps.H"
// * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * //
// * * * * * * * * * * * * * private Member Functions * * * * * * * * * * * //
#if INT_MAX != 2147483647
# error "INT_MAX != 2147483647"
# error "The random number generator may not work!"
#endif
Foam::scalar Foam::Random::scalar01()
{
return osRandomDouble(buffer_);
}
// * * * * * * * * * * * * * * * * Constructors * * * * * * * * * * * * * * //
Foam::Random::Random(const label seed)
:
buffer_(osRandomBufferSize()),
seed_(seed),
hasGaussSample_(false),
gaussSample_(0)
{
// Initialise the random number generator
osRandomSeed(seed_, buffer_);
}
Foam::Random::Random(const Random& r, const bool reset)
:
buffer_(r.buffer_),
seed_(r.seed_),
hasGaussSample_(r.hasGaussSample_),
gaussSample_(r.gaussSample_)
{
if (reset)
{
hasGaussSample_ = false;
gaussSample_ = 0;
// Re-initialise the samples
osRandomSeed(seed_, buffer_);
}
}
// * * * * * * * * * * * * * * * * Destructor * * * * * * * * * * * * * * * //
Foam::Random::~Random()
{}
// * * * * * * * * * * * * * * * Member Functions * * * * * * * * * * * * * //
Foam::Random::Random(const label seed)
void Foam::Random::reset(const label seed)
{
if (seed > 1)
{
Seed = seed;
}
else
{
Seed = 1;
}
osRandomSeed(Seed);
seed_ = seed;
osRandomSeed(seed_, buffer_);
}
int Foam::Random::bit()
{
if (osRandomInteger() > INT_MAX/2)
return osRandomInteger(buffer_) & 1;
}
template<>
Foam::scalar Foam::Random::sample01()
{
return scalar01();
}
template<>
Foam::label Foam::Random::sample01()
{
return round(scalar01());
}
template<>
Foam::scalar Foam::Random::GaussNormal()
{
if (hasGaussSample_)
{
return 1;
hasGaussSample_ = false;
return gaussSample_;
}
else
{
return 0;
}
}
Foam::scalar Foam::Random::scalar01()
{
return osRandomDouble();
}
Foam::vector Foam::Random::vector01()
{
vector rndVec;
for (direction cmpt=0; cmpt<vector::nComponents; cmpt++)
{
rndVec.component(cmpt) = scalar01();
}
return rndVec;
}
Foam::sphericalTensor Foam::Random::sphericalTensor01()
{
sphericalTensor rndTen;
rndTen.ii() = scalar01();
return rndTen;
}
Foam::symmTensor Foam::Random::symmTensor01()
{
symmTensor rndTen;
for (direction cmpt=0; cmpt<symmTensor::nComponents; cmpt++)
{
rndTen.component(cmpt) = scalar01();
}
return rndTen;
}
Foam::tensor Foam::Random::tensor01()
{
tensor rndTen;
for (direction cmpt=0; cmpt<tensor::nComponents; cmpt++)
{
rndTen.component(cmpt) = scalar01();
}
return rndTen;
}
Foam::label Foam::Random::integer(const label lower, const label upper)
{
return lower + (osRandomInteger() % (upper+1-lower));
}
Foam::vector Foam::Random::position(const vector& start, const vector& end)
{
vector rndVec(start);
for (direction cmpt=0; cmpt<vector::nComponents; cmpt++)
{
rndVec.component(cmpt) +=
scalar01()*(end.component(cmpt) - start.component(cmpt));
}
return rndVec;
}
void Foam::Random::randomise(scalar& s)
{
s = scalar01();
}
void Foam::Random::randomise(vector& v)
{
v = vector01();
}
void Foam::Random::randomise(sphericalTensor& st)
{
st = sphericalTensor01();
}
void Foam::Random::randomise(symmTensor& st)
{
st = symmTensor01();
}
void Foam::Random::randomise(tensor& t)
{
t = tensor01();
}
Foam::scalar Foam::Random::GaussNormal()
{
static int iset = 0;
static scalar gset;
scalar fac, rsq, v1, v2;
if (iset == 0)
{
scalar rsq, v1, v2;
do
{
v1 = 2.0*scalar01() - 1.0;
v2 = 2.0*scalar01() - 1.0;
v1 = 2*scalar01() - 1;
v2 = 2*scalar01() - 1;
rsq = sqr(v1) + sqr(v2);
} while (rsq >= 1.0 || rsq == 0.0);
} while (rsq >= 1 || rsq == 0);
fac = sqrt(-2.0*log(rsq)/rsq);
gset = v1*fac;
iset = 1;
scalar fac = sqrt(-2*log(rsq)/rsq);
gaussSample_ = v1*fac;
hasGaussSample_ = true;
return v2*fac;
}
else
{
iset = 0;
}
return gset;
template<>
Foam::label Foam::Random::GaussNormal()
{
return round(GaussNormal<scalar>());
}
template<>
Foam::scalar Foam::Random::position
(
const scalar& start,
const scalar& end
)
{
return start + scalar01()*(end - start);
}
template<>
Foam::label Foam::Random::position(const label& start, const label& end)
{
return start + round(scalar01()*(end - start));
}
template<>
Foam::scalar Foam::Random::globalSample01()
{
scalar value = -GREAT;
if (Pstream::master())
{
value = scalar01();
}
Pstream::scatter(value);
return value;
}
template<>
Foam::label Foam::Random::globalSample01()
{
scalar value = -GREAT;
if (Pstream::master())
{
value = scalar01();
}
Pstream::scatter(value);
return round(value);
}
template<>
Foam::scalar Foam::Random::globalGaussNormal()
{
scalar value = -GREAT;
if (Pstream::master())
{
value = GaussNormal<scalar>();
}
Pstream::scatter(value);
return value;
}
template<>
Foam::label Foam::Random::globalGaussNormal()
{
scalar value = -GREAT;
if (Pstream::master())
{
value = GaussNormal<scalar>();
}
Pstream::scatter(value);
return round(value);
}
template<>
Foam::scalar Foam::Random::globalPosition
(
const scalar& start,
const scalar& end
)
{
scalar value = -GREAT;
if (Pstream::master())
{
value = scalar01()*(end - start);
}
Pstream::scatter(value);
return start + value;
}
template<>
Foam::label Foam::Random::globalPosition
(
const label& start,
const label& end
)
{
label value = labelMin;
if (Pstream::master())
{
value = round(scalar01()*(end - start));
}
Pstream::scatter(value);
return start + value;
}

View File

@ -3,7 +3,7 @@
\\ / F ield | OpenFOAM: The Open Source CFD Toolbox
\\ / O peration |
\\ / A nd | Copyright (C) 2011-2015 OpenFOAM Foundation
\\/ M anipulation |
\\/ M anipulation | Copyright (C) 2017 OpenCFD Ltd.
-------------------------------------------------------------------------------
License
This file is part of OpenFOAM.
@ -25,24 +25,29 @@ Class
Foam::Random
Description
Simple random number generator.
Random number generator.
SourceFiles
RandomI.H
Random.C
RandomTemplates.C
\*---------------------------------------------------------------------------*/
#ifndef Random_H
#define Random_H
#include "vector.H"
#include "tensor.H"
#include "List.H"
// * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * //
namespace Foam
{
// Forward declaration of classes
class Random;
/*---------------------------------------------------------------------------*\
Class Random Declaration
\*---------------------------------------------------------------------------*/
@ -51,60 +56,165 @@ class Random
{
// Private data
label Seed;
//- Buffer used by re-entrant random number generator
List<char> buffer_;
//- Initial random number seed
label seed_;
//- Indicator, which tells if there is a stored gaussian sample
bool hasGaussSample_;
//- Stored sample value
scalar gaussSample_;
// Private Member Functions
//- Returns the current sample
scalar scalar01();
public:
// Constructors
//- Construct given seed
Random(const label);
//- Construct given seed and sample count
Random(const label seed = 123456);
//- Copy constructor with optional reset of sampleI
Random(const Random& r, const bool reset = false);
// Destructor
~Random();
// Member functions
int bit();
// Access
//- Scalar [0..1] (so including 0,1)
scalar scalar01();
//- Return const access to the initial random number seed
inline label seed() const;
//- Vector with every component scalar01
vector vector01();
//- Reset the random number generator seed
void reset(const label seed);
//- sphericalTensor with every component scalar01
sphericalTensor sphericalTensor01();
//- symmTensor with every component scalar01
symmTensor symmTensor01();
// Evaluation
//- Tensor with every component scalar01
tensor tensor01();
// Random numbers
//- Label [lower..upper]
label integer(const label lower, const label upper);
//- Return a random bit
int bit();
vector position(const vector&, const vector&);
//- Return a sample whose components lie in the range 0-1
template<class Type>
Type sample01();
void randomise(scalar&);
void randomise(vector&);
void randomise(sphericalTensor&);
void randomise(symmTensor&);
void randomise(tensor&);
//- Return a sample whose components are normally distributed
// with zero mean and unity variance N(0, 1)
template<class Type>
Type GaussNormal();
//- Return a normal Gaussian randon number
// with zero mean and unity variance N(0, 1)
scalar GaussNormal();
//- Return a sample between start and end
template<class Type>
Type position(const Type& start, const Type& end);
//- Randomise value in the range 0-1
template<class Type>
void randomise01(Type& value);
//- Shuffle the values in the list
template<class Type>
void shuffle(UList<Type>& values);
// Global random numbers - consistent across all processors
//- Return a sample whose components lie in the range 0-1
template<class Type>
Type globalSample01();
//- Return a sample whose components are normally distributed
// with zero mean and unity variance N(0, 1)
template<class Type>
Type globalGaussNormal();
//- Return a sample between start and end
template<class Type>
Type globalPosition(const Type& start, const Type& end);
//- Randomise value in the range 0-1
template<class Type>
void globalRandomise01(Type& value);
};
// * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * //
// Template specialisations
template<>
scalar Random::sample01<scalar>();
template<>
label Random::sample01<label>();
template<>
scalar Random::GaussNormal<scalar>();
template<>
label Random::GaussNormal<label>();
template<>
scalar Random::position<scalar>
(
const scalar& start,
const scalar& end
);
template<>
label Random::position<label>(const label& start, const label& end);
template<>
scalar Random::globalSample01<scalar>();
template<>
label Random::globalSample01<label>();
template<>
scalar Random::globalGaussNormal<scalar>();
template<>
label Random::globalGaussNormal<label>();
template<>
scalar Random::globalPosition<scalar>
(
const scalar& start,
const scalar& end
);
template<>
label Random::globalPosition<label>(const label& start, const label& end);
// * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * //
} // End namespace Foam
// * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * //
#include "RandomI.H"
// * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * //
#ifdef NoRepository
# include "RandomTemplates.C"
#endif
// * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * //
#endif
// ************************************************************************* //

View File

@ -23,32 +23,14 @@ License
\*---------------------------------------------------------------------------*/
#include "cachedRandom.H"
#include "Random.H"
// * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * //
inline Foam::label Foam::cachedRandom::seed() const
inline Foam::label Foam::Random::seed() const
{
return seed_;
}
inline const Foam::scalarList& Foam::cachedRandom::samples() const
{
return samples_;
}
inline Foam::label Foam::cachedRandom::sampleI() const
{
return sampleI_;
}
inline Foam::label& Foam::cachedRandom::sampleI()
{
return sampleI_;
}
// ************************************************************************* //

View File

@ -23,13 +23,13 @@ License
\*---------------------------------------------------------------------------*/
#include "cachedRandom.H"
#include "Random.H"
#include "Pstream.H"
// * * * * * * * * * * * * * * * Member Functions * * * * * * * * * * * * * //
template<class Type>
Type Foam::cachedRandom::sample01()
Type Foam::Random::sample01()
{
Type value;
for (direction cmpt=0; cmpt<pTraits<Type>::nComponents; cmpt++)
@ -42,7 +42,7 @@ Type Foam::cachedRandom::sample01()
template<class Type>
Type Foam::cachedRandom::GaussNormal()
Type Foam::Random::GaussNormal()
{
Type value;
for (direction cmpt=0; cmpt<pTraits<Type>::nComponents; cmpt++)
@ -55,7 +55,7 @@ Type Foam::cachedRandom::GaussNormal()
template<class Type>
Type Foam::cachedRandom::position(const Type& start, const Type& end)
Type Foam::Random::position(const Type& start, const Type& end)
{
Type value(start);
for (direction cmpt=0; cmpt<pTraits<Type>::nComponents; cmpt++)
@ -69,14 +69,14 @@ Type Foam::cachedRandom::position(const Type& start, const Type& end)
template<class Type>
void Foam::cachedRandom::randomise01(Type& value)
void Foam::Random::randomise01(Type& value)
{
value = sample01<Type>();
}
template<class Type>
void Foam::cachedRandom::shuffle(UList<Type>& values)
void Foam::Random::shuffle(UList<Type>& values)
{
const label nSample = values.size();
label posI = nSample - 1;
@ -93,7 +93,7 @@ void Foam::cachedRandom::shuffle(UList<Type>& values)
template<class Type>
Type Foam::cachedRandom::globalSample01()
Type Foam::Random::globalSample01()
{
Type value = -GREAT*pTraits<Type>::one;
@ -109,7 +109,7 @@ Type Foam::cachedRandom::globalSample01()
template<class Type>
Type Foam::cachedRandom::globalGaussNormal()
Type Foam::Random::globalGaussNormal()
{
Type value = -GREAT*pTraits<Type>::one;
@ -125,7 +125,7 @@ Type Foam::cachedRandom::globalGaussNormal()
template<class Type>
Type Foam::cachedRandom::globalPosition(const Type& start, const Type& end)
Type Foam::Random::globalPosition(const Type& start, const Type& end)
{
Type value = -GREAT*pTraits<Type>::one;
@ -141,7 +141,7 @@ Type Foam::cachedRandom::globalPosition(const Type& start, const Type& end)
template<class Type>
void Foam::cachedRandom::globalRandomise01(Type& value)
void Foam::Random::globalRandomise01(Type& value)
{
value = -GREAT*pTraits<Type>::one;

View File

@ -1,299 +0,0 @@
/*---------------------------------------------------------------------------*\
========= |
\\ / F ield | OpenFOAM: The Open Source CFD Toolbox
\\ / O peration |
\\ / A nd | Copyright (C) 2011-2015 OpenFOAM Foundation
\\/ M anipulation |
-------------------------------------------------------------------------------
License
This file is part of OpenFOAM.
OpenFOAM is free software: you can redistribute it and/or modify it
under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.
OpenFOAM is distributed in the hope that it will be useful, but WITHOUT
ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or
FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License
for more details.
You should have received a copy of the GNU General Public License
along with OpenFOAM. If not, see <http://www.gnu.org/licenses/>.
\*---------------------------------------------------------------------------*/
#include "cachedRandom.H"
#include "OSspecific.H"
#include "PstreamReduceOps.H"
// * * * * * * * * * * * * * private Member Functions * * * * * * * * * * * //
Foam::scalar Foam::cachedRandom::scalar01()
{
if (sampleI_ < 0)
{
return osRandomDouble();
}
if (sampleI_ == samples_.size() - 1)
{
scalar s = samples_[sampleI_];
sampleI_ = 0;
return s;
}
else
{
scalar s = samples_[sampleI_];
sampleI_++;
return s;
}
}
// * * * * * * * * * * * * * * * * Constructors * * * * * * * * * * * * * * //
Foam::cachedRandom::cachedRandom(const label seed, const label count)
:
seed_(1),
samples_(0),
sampleI_(-1),
hasGaussSample_(false),
gaussSample_(0)
{
if (seed > 1)
{
seed_ = seed;
}
// Initialise samples
osRandomSeed(seed_);
// Samples will be cached if count > 0
if (count > 0)
{
samples_.setSize(count);
forAll(samples_, i)
{
samples_[i] = osRandomDouble();
}
sampleI_ = 0;
}
}
Foam::cachedRandom::cachedRandom(const cachedRandom& cr, const bool reset)
:
seed_(cr.seed_),
samples_(cr.samples_),
sampleI_(cr.sampleI_),
hasGaussSample_(cr.hasGaussSample_),
gaussSample_(cr.gaussSample_)
{
//if (sampleI_ == -1)
//{
// WarningInFunction
// << "Copy constructor called, but samples not being cached. "
// << "This may lead to non-repeatable behaviour" << endl;
//
//}
if (reset)
{
hasGaussSample_ = false;
gaussSample_ = 0;
if (samples_.size())
{
sampleI_ = 0;
}
else
{
// Re-initialise the samples
osRandomSeed(seed_);
}
}
}
// * * * * * * * * * * * * * * * * Destructor * * * * * * * * * * * * * * * //
Foam::cachedRandom::~cachedRandom()
{}
// * * * * * * * * * * * * * * * Member Functions * * * * * * * * * * * * * //
template<>
Foam::scalar Foam::cachedRandom::sample01()
{
return scalar01();
}
template<>
Foam::label Foam::cachedRandom::sample01()
{
return round(scalar01());
}
template<>
Foam::scalar Foam::cachedRandom::GaussNormal()
{
if (hasGaussSample_)
{
hasGaussSample_ = false;
return gaussSample_;
}
else
{
scalar rsq, v1, v2;
do
{
v1 = 2*scalar01() - 1;
v2 = 2*scalar01() - 1;
rsq = sqr(v1) + sqr(v2);
} while (rsq >= 1 || rsq == 0);
scalar fac = sqrt(-2*log(rsq)/rsq);
gaussSample_ = v1*fac;
hasGaussSample_ = true;
return v2*fac;
}
}
template<>
Foam::label Foam::cachedRandom::GaussNormal()
{
return round(GaussNormal<scalar>());
}
template<>
Foam::scalar Foam::cachedRandom::position
(
const scalar& start,
const scalar& end
)
{
return start + scalar01()*(end - start);
}
template<>
Foam::label Foam::cachedRandom::position(const label& start, const label& end)
{
return start + round(scalar01()*(end - start));
}
template<>
Foam::scalar Foam::cachedRandom::globalSample01()
{
scalar value = -GREAT;
if (Pstream::master())
{
value = scalar01();
}
Pstream::scatter(value);
return value;
}
template<>
Foam::label Foam::cachedRandom::globalSample01()
{
scalar value = -GREAT;
if (Pstream::master())
{
value = scalar01();
}
Pstream::scatter(value);
return round(value);
}
template<>
Foam::scalar Foam::cachedRandom::globalGaussNormal()
{
scalar value = -GREAT;
if (Pstream::master())
{
value = GaussNormal<scalar>();
}
Pstream::scatter(value);
return value;
}
template<>
Foam::label Foam::cachedRandom::globalGaussNormal()
{
scalar value = -GREAT;
if (Pstream::master())
{
value = GaussNormal<scalar>();
}
Pstream::scatter(value);
return round(value);
}
template<>
Foam::scalar Foam::cachedRandom::globalPosition
(
const scalar& start,
const scalar& end
)
{
scalar value = -GREAT;
if (Pstream::master())
{
value = scalar01()*(end - start);
}
Pstream::scatter(value);
return start + value;
}
template<>
Foam::label Foam::cachedRandom::globalPosition
(
const label& start,
const label& end
)
{
label value = labelMin;
if (Pstream::master())
{
value = round(scalar01()*(end - start));
}
Pstream::scatter(value);
return start + value;
}
// ************************************************************************* //

View File

@ -1,238 +0,0 @@
/*---------------------------------------------------------------------------*\
========= |
\\ / F ield | OpenFOAM: The Open Source CFD Toolbox
\\ / O peration |
\\ / A nd | Copyright (C) 2011-2015 OpenFOAM Foundation
\\/ M anipulation |
-------------------------------------------------------------------------------
License
This file is part of OpenFOAM.
OpenFOAM is free software: you can redistribute it and/or modify it
under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.
OpenFOAM is distributed in the hope that it will be useful, but WITHOUT
ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or
FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License
for more details.
You should have received a copy of the GNU General Public License
along with OpenFOAM. If not, see <http://www.gnu.org/licenses/>.
Class
Foam::cachedRandom
Description
Random number generator.
Pre-computes and caches samples on construction, so that when sample01()
is called, the function simply returns the next (pre-computed) sample. On
reaching the last sample, the sample sequence is repeated.
Constructed using a seed and sample count. If the supplied count is
negative, no caching is performed, and a new sample is generated on each
call to sample01().
Note: the copy constructor cannot be used if count = -1.
SourceFiles
cachedRandomI.H
cachedRandom.C
cachedRandomTemplates.C
\*---------------------------------------------------------------------------*/
#ifndef cachedRandom_H
#define cachedRandom_H
#include "scalarList.H"
// * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * //
namespace Foam
{
// Forward declaration of classes
class cachedRandom;
/*---------------------------------------------------------------------------*\
Class cachedRandom Declaration
\*---------------------------------------------------------------------------*/
class cachedRandom
{
// Private data
//- Initial random number seed
label seed_;
//- List of scalar samples
scalarList samples_;
//- Current sample marker
label sampleI_;
//- Indicator, which tells if there is a stored gaussian sample
bool hasGaussSample_;
//- Stored sample value
scalar gaussSample_;
// Private Member Functions
//- Returns the current sample
scalar scalar01();
public:
// Constructors
//- Construct given seed and sample count
cachedRandom(const label seed, const label count);
//- Copy constructor with optional reset of sampleI
cachedRandom(const cachedRandom& cr, const bool reset = false);
// Destructor
~cachedRandom();
// Member functions
// Access
//- Return const access to the initial random number seed
inline label seed() const;
//- Return const access to the list of samples
inline const scalarList& samples() const;
//- Return the current sample marker
inline label sampleI() const;
// Manipulation
//- Return non-const access to the sample marker
inline label& sampleI();
// Evaluation
// Random numbers
//- Return a sample whose components lie in the range 0-1
template<class Type>
Type sample01();
//- Return a sample whose components are normally distributed
// with zero mean and unity variance N(0, 1)
template<class Type>
Type GaussNormal();
//- Return a sample between start and end
template<class Type>
Type position(const Type& start, const Type& end);
//- Randomise value in the range 0-1
template<class Type>
void randomise01(Type& value);
//- Shuffle the values in the list
template<class Type>
void shuffle(UList<Type>& values);
// Global random numbers - consistent across all processors
//- Return a sample whose components lie in the range 0-1
template<class Type>
Type globalSample01();
//- Return a sample whose components are normally distributed
// with zero mean and unity variance N(0, 1)
template<class Type>
Type globalGaussNormal();
//- Return a sample between start and end
template<class Type>
Type globalPosition(const Type& start, const Type& end);
//- Randomise value in the range 0-1
template<class Type>
void globalRandomise01(Type& value);
};
// * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * //
// Template specialisations
template<>
scalar cachedRandom::sample01<scalar>();
template<>
label cachedRandom::sample01<label>();
template<>
scalar cachedRandom::GaussNormal<scalar>();
template<>
label cachedRandom::GaussNormal<label>();
template<>
scalar cachedRandom::position<scalar>
(
const scalar& start,
const scalar& end
);
template<>
label cachedRandom::position<label>(const label& start, const label& end);
template<>
scalar cachedRandom::globalSample01<scalar>();
template<>
label cachedRandom::globalSample01<label>();
template<>
scalar cachedRandom::globalGaussNormal<scalar>();
template<>
label cachedRandom::globalGaussNormal<label>();
template<>
scalar cachedRandom::globalPosition<scalar>
(
const scalar& start,
const scalar& end
);
template<>
label cachedRandom::globalPosition<label>(const label& start, const label& end);
// * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * //
} // End namespace Foam
// * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * //
#include "cachedRandomI.H"
// * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * //
#ifdef NoRepository
# include "cachedRandomTemplates.C"
#endif
// * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * //
#endif
// ************************************************************************* //

View File

@ -129,7 +129,7 @@ Foam::eddy::eddy
const scalar x,
const scalar sigmaX,
const symmTensor& R,
cachedRandom& rndGen
Random& rndGen
)
:
patchFaceI_(patchFaceI),

View File

@ -41,7 +41,7 @@ SourceFiles
#include "vector.H"
#include "point.H"
#include "tensor.H"
#include "cachedRandom.H"
#include "Random.H"
#include "coordinateSystem.H"
// * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * //
@ -112,7 +112,7 @@ class eddy
) const;
//- Return a number with zero mean and unit variance
inline scalar epsi(cachedRandom& rndGen) const;
inline scalar epsi(Random& rndGen) const;
public:
@ -133,7 +133,7 @@ public:
const scalar x, // distance from reference position
const scalar sigmaX, // length scale
const symmTensor& R, // Stress tensor
cachedRandom& rndGen
Random& rndGen
);
//- Construct copy
@ -175,7 +175,7 @@ public:
inline label dir1() const;
//- Return random vector of -1 and 1's
inline vector epsilon(cachedRandom& rndGen) const;
inline vector epsilon(Random& rndGen) const;
// Helper functions

View File

@ -29,7 +29,7 @@ using namespace Foam::constant;
// * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * //
Foam::scalar Foam::eddy::epsi(cachedRandom& rndGen) const
Foam::scalar Foam::eddy::epsi(Random& rndGen) const
{
// Random number with zero mean and unit variance
return rndGen.sample01<scalar>() > 0.5 ? 1 : -1;
@ -84,7 +84,7 @@ inline Foam::scalar Foam::eddy::c1() const
}
Foam::vector Foam::eddy::epsilon(cachedRandom& rndGen) const
Foam::vector Foam::eddy::epsilon(Random& rndGen) const
{
return vector(epsi(rndGen), epsi(rndGen), epsi(rndGen));
}

View File

@ -746,7 +746,7 @@ turbulentDFSEMInletFvPatchVectorField
nCellPerEddy_(5),
patchNormal_(vector::zero),
v0_(0),
rndGen_(0, -1),
rndGen_(Pstream::myProcNo()),
sigmax_(size(), 0),
maxSigmaX_(0),
nEddy_(0),

View File

@ -81,7 +81,7 @@ SourceFiles
#define turbulentDFSEMInletFvPatchVectorField_H
#include "fixedValueFvPatchFields.H"
#include "cachedRandom.H"
#include "Random.H"
#include "eddy.H"
#include "pointIndexHit.H"
#include "instantList.H"
@ -184,7 +184,7 @@ class turbulentDFSEMInletFvPatchVectorField
scalar v0_;
//- Random number generator
cachedRandom rndGen_;
Random rndGen_;
//- Length scale per patch face
scalarField sigmax_;

View File

@ -166,7 +166,7 @@ void Foam::turbulentInletFvPatchField<Type>::updateCoeffs()
forAll(patchField, facei)
{
ranGen_.randomise(randomField[facei]);
ranGen_.randomise01<Type>(randomField[facei]);
}
// Correction-factor to compensate for the loss of RMS fluctuation

View File

@ -71,7 +71,6 @@ SourceFiles
#include "surfaceFieldsFwd.H"
#include "vectorList.H"
#include "globalIndex.H"
#include "cachedRandom.H"
#include "eulerianParticle.H"
#include "IOdictionary.H"
#include "injectedParticleCloud.H"

View File

@ -61,7 +61,7 @@ Foam::functionObjects::particleDistribution::particleDistribution
cloudName_("unknown-cloudName"),
nameVsBinWidth_(),
tagFieldName_("none"),
rndGen_(1234, -1),
rndGen_(),
writerPtr_(nullptr)
{
read(dict);

View File

@ -73,7 +73,7 @@ SourceFiles
#include "fvMeshFunctionObject.H"
#include "writeFile.H"
#include "scalarField.H"
#include "cachedRandom.H"
#include "Random.H"
#include "Tuple2.H"
#include "writer.H"
@ -107,7 +107,7 @@ protected:
word tagFieldName_;
//- Random number generator - used by distribution models
cachedRandom rndGen_;
Random rndGen_;
//- Writer
autoPtr<writer<scalar>> writerPtr_;

View File

@ -47,7 +47,7 @@ bool Foam::functionObjects::randomise::calcRandomised()
forAll(field, celli)
{
Type rndPert;
rand.randomise(rndPert);
rand.randomise01(rndPert);
rndPert = 2.0*rndPert - pTraits<Type>::one;
rndPert /= mag(rndPert);
rfield[celli] += magPerturbation_*rndPert;

View File

@ -152,7 +152,7 @@ void Foam::DSMCCloud<ParcelType>::initialise
if
(
(particlesRequired - nParticlesToInsert)
> rndGen_.scalar01()
> rndGen_.sample01<scalar>()
)
{
nParticlesToInsert++;
@ -282,7 +282,7 @@ void Foam::DSMCCloud<ParcelType>::collisions()
// subCell candidate selection procedure
// Select the first collision candidate
label candidateP = rndGen_.integer(0, nC - 1);
label candidateP = rndGen_.position<label>(0, nC - 1);
// Declare the second collision candidate
label candidateQ = -1;
@ -298,7 +298,8 @@ void Foam::DSMCCloud<ParcelType>::collisions()
do
{
candidateQ = subCellPs[rndGen_.integer(0, nSC - 1)];
label i = rndGen_.position<label>(0, nSC - 1);
candidateQ = subCellPs[i];
} while (candidateP == candidateQ);
}
else
@ -309,7 +310,7 @@ void Foam::DSMCCloud<ParcelType>::collisions()
do
{
candidateQ = rndGen_.integer(0, nC - 1);
candidateQ = rndGen_.position<label>(0, nC - 1);
} while (candidateP == candidateQ);
}
@ -317,15 +318,15 @@ void Foam::DSMCCloud<ParcelType>::collisions()
// uniform candidate selection procedure
// // Select the first collision candidate
// label candidateP = rndGen_.integer(0, nC-1);
// label candidateP = rndGen_.position<label>(0, nC-1);
// // Select a possible second collision candidate
// label candidateQ = rndGen_.integer(0, nC-1);
// label candidateQ = rndGen_.position<label>(0, nC-1);
// // If the same candidate is chosen, choose again
// while (candidateP == candidateQ)
// {
// candidateQ = rndGen_.integer(0, nC-1);
// candidateQ = rndGen_.position<label>(0, nC-1);
// }
// ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
@ -348,7 +349,7 @@ void Foam::DSMCCloud<ParcelType>::collisions()
sigmaTcRMax_[celli] = sigmaTcR;
}
if ((sigmaTcR/sigmaTcRMax) > rndGen_.scalar01())
if ((sigmaTcR/sigmaTcRMax) > rndGen_.sample01<scalar>())
{
binaryCollision().collide
(
@ -648,7 +649,7 @@ Foam::DSMCCloud<ParcelType>::DSMCCloud
mesh_
),
constProps_(),
rndGen_(label(149382906) + 7183*Pstream::myProcNo()),
rndGen_(Pstream::myProcNo()),
boundaryT_
(
volScalarField
@ -711,7 +712,7 @@ Foam::DSMCCloud<ParcelType>::DSMCCloud
// and 1.
forAll(collisionSelectionRemainder_, i)
{
collisionSelectionRemainder_[i] = rndGen_.scalar01();
collisionSelectionRemainder_[i] = rndGen_.sample01<scalar>();
}
if (readFields)
@ -900,7 +901,7 @@ Foam::DSMCCloud<ParcelType>::DSMCCloud
)
),
constProps_(),
rndGen_(label(971501) + 1526*Pstream::myProcNo()),
rndGen_(Pstream::myProcNo()),
boundaryT_
(
volScalarField
@ -1039,12 +1040,7 @@ Foam::vector Foam::DSMCCloud<ParcelType>::equipartitionLinearVelocity
{
return
sqrt(physicoChemical::k.value()*temperature/mass)
*vector
(
rndGen_.GaussNormal(),
rndGen_.GaussNormal(),
rndGen_.GaussNormal()
);
*rndGen_.GaussNormal<vector>();
}
@ -1064,7 +1060,9 @@ Foam::scalar Foam::DSMCCloud<ParcelType>::equipartitionInternalEnergy
else if (iDof < 2.0 + SMALL && iDof > 2.0 - SMALL)
{
// Special case for iDof = 2, i.e. diatomics;
Ei = -log(rndGen_.scalar01())*physicoChemical::k.value()*temperature;
Ei =
-log(rndGen_.sample01<scalar>())
*physicoChemical::k.value()*temperature;
}
else
{
@ -1074,9 +1072,9 @@ Foam::scalar Foam::DSMCCloud<ParcelType>::equipartitionInternalEnergy
do
{
energyRatio = 10*rndGen_.scalar01();
energyRatio = 10*rndGen_.sample01<scalar>();
P = pow((energyRatio/a), a)*exp(a - energyRatio);
} while (P < rndGen_.scalar01());
} while (P < rndGen_.sample01<scalar>());
Ei = energyRatio*physicoChemical::k.value()*temperature;
}

View File

@ -39,14 +39,14 @@ Foam::scalar Foam::LarsenBorgnakkeVariableHardSphere<CloudType>::energyRatio
{
CloudType& cloud(this->owner());
Random& rndGen(cloud.rndGen());
Random& rndGen = cloud.rndGen();
scalar ChiAMinusOne = ChiA - 1;
scalar ChiBMinusOne = ChiB - 1;
if (ChiAMinusOne < SMALL && ChiBMinusOne < SMALL)
{
return rndGen.scalar01();
return rndGen.sample01<scalar>();
}
scalar energyRatio;
@ -56,7 +56,7 @@ Foam::scalar Foam::LarsenBorgnakkeVariableHardSphere<CloudType>::energyRatio
{
P = 0;
energyRatio = rndGen.scalar01();
energyRatio = rndGen.sample01<scalar>();
if (ChiAMinusOne < SMALL)
{
@ -81,7 +81,7 @@ Foam::scalar Foam::LarsenBorgnakkeVariableHardSphere<CloudType>::energyRatio
ChiBMinusOne
);
}
} while (P < rndGen.scalar01());
} while (P < rndGen.sample01<scalar>());
return energyRatio;
}
@ -186,7 +186,7 @@ void Foam::LarsenBorgnakkeVariableHardSphere<CloudType>::collide
scalar& EiP = pP.Ei();
scalar& EiQ = pQ.Ei();
Random& rndGen(cloud.rndGen());
Random& rndGen = cloud.rndGen();
scalar inverseCollisionNumber = 1/relaxationCollisionNumber_;
@ -217,13 +217,14 @@ void Foam::LarsenBorgnakkeVariableHardSphere<CloudType>::collide
if (iDofP > 0)
{
if (inverseCollisionNumber > rndGen.scalar01())
if (inverseCollisionNumber > rndGen.sample01<scalar>())
{
availableEnergy += preCollisionEiP;
if (iDofP == 2)
{
scalar energyRatio = 1.0 - pow(rndGen.scalar01(), (1.0/ChiB));
scalar energyRatio =
1.0 - pow(rndGen.sample01<scalar>(), (1.0/ChiB));
EiP = energyRatio*availableEnergy;
}
else
@ -238,13 +239,13 @@ void Foam::LarsenBorgnakkeVariableHardSphere<CloudType>::collide
if (iDofQ > 0)
{
if (inverseCollisionNumber > rndGen.scalar01())
if (inverseCollisionNumber > rndGen.sample01<scalar>())
{
availableEnergy += preCollisionEiQ;
if (iDofQ == 2)
{
scalar energyRatio = 1.0 - pow(rndGen.scalar01(), (1.0/ChiB));
scalar energyRatio = 1.0 - pow(rndGen.sample01<scalar>(), (1.0/ChiB));
EiQ = energyRatio*availableEnergy;
}
else
@ -261,9 +262,9 @@ void Foam::LarsenBorgnakkeVariableHardSphere<CloudType>::collide
scalar cR = sqrt(2.0*availableEnergy/mR);
// Variable Hard Sphere collision part
scalar cosTheta = 2.0*rndGen.scalar01() - 1.0;
scalar cosTheta = 2.0*rndGen.sample01<scalar>() - 1.0;
scalar sinTheta = sqrt(1.0 - cosTheta*cosTheta);
scalar phi = twoPi*rndGen.scalar01();
scalar phi = twoPi*rndGen.sample01<scalar>();
vector postCollisionRelU =
cR

View File

@ -121,7 +121,7 @@ void Foam::VariableHardSphere<CloudType>::collide
vector& UP = pP.U();
vector& UQ = pQ.U();
Random& rndGen(cloud.rndGen());
Random& rndGen = cloud.rndGen();
scalar mP = cloud.constProps(typeIdP).mass();
@ -131,11 +131,11 @@ void Foam::VariableHardSphere<CloudType>::collide
scalar cR = mag(UP - UQ);
scalar cosTheta = 2.0*rndGen.scalar01() - 1.0;
scalar cosTheta = 2.0*rndGen.sample01<scalar>() - 1.0;
scalar sinTheta = sqrt(1.0 - cosTheta*cosTheta);
scalar phi = twoPi*rndGen.scalar01();
scalar phi = twoPi*rndGen.sample01<scalar>();
vector postCollisionRelU =
cR

View File

@ -147,7 +147,7 @@ void Foam::FreeStream<CloudType>::inflow()
const scalar deltaT = mesh.time().deltaTValue();
Random& rndGen(cloud.rndGen());
Random& rndGen = cloud.rndGen();
scalar sqrtPi = sqrt(pi);
@ -291,7 +291,7 @@ void Foam::FreeStream<CloudType>::inflow()
// Add another particle with a probability proportional to the
// remainder of taking the integer part of faceAccumulator
if ((faceAccumulator - nI) > rndGen.scalar01())
if ((faceAccumulator - nI) > rndGen.sample01<scalar>())
{
nI++;
}
@ -307,7 +307,7 @@ void Foam::FreeStream<CloudType>::inflow()
// Choose a triangle to insert on, based on their relative
// area
scalar triSelection = rndGen.scalar01();
scalar triSelection = rndGen.sample01<scalar>();
// Selected triangle
label selectedTriI = -1;
@ -371,7 +371,7 @@ void Foam::FreeStream<CloudType>::inflow()
do
{
uNormalThermal =
randomScaling*(2.0*rndGen.scalar01() - 1);
randomScaling*(2.0*rndGen.sample01<scalar>() - 1);
uNormal = uNormalThermal + sCosTheta;
@ -385,13 +385,13 @@ void Foam::FreeStream<CloudType>::inflow()
*exp(uNormProbCoeffB - sqr(uNormalThermal));
}
} while (P < rndGen.scalar01());
} while (P < rndGen.sample01<scalar>());
vector U =
sqrt(physicoChemical::k.value()*faceTemperature/mass)
*(
rndGen.GaussNormal()*t1
+ rndGen.GaussNormal()*t2
rndGen.GaussNormal<scalar>()*t1
+ rndGen.GaussNormal<scalar>()*t2
)
+ (t1 & faceVelocity)*t1
+ (t2 & faceVelocity)*t2

View File

@ -78,19 +78,18 @@ void Foam::MaxwellianThermal<CloudType>::correct
CloudType& cloud(this->owner());
Random& rndGen(cloud.rndGen());
Random& rndGen = cloud.rndGen();
while (mag(Ut) < SMALL)
{
// If the incident velocity is parallel to the face normal, no
// tangential direction can be chosen. Add a perturbation to the
// incoming velocity and recalculate.
U = vector
(
U.x()*(0.8 + 0.2*rndGen.scalar01()),
U.y()*(0.8 + 0.2*rndGen.scalar01()),
U.z()*(0.8 + 0.2*rndGen.scalar01())
U.x()*(0.8 + 0.2*rndGen.sample01<scalar>()),
U.y()*(0.8 + 0.2*rndGen.sample01<scalar>()),
U.z()*(0.8 + 0.2*rndGen.sample01<scalar>())
);
U_dot_nw = U & nw;
@ -113,9 +112,9 @@ void Foam::MaxwellianThermal<CloudType>::correct
U =
sqrt(physicoChemical::k.value()*T/mass)
*(
rndGen.GaussNormal()*tw1
+ rndGen.GaussNormal()*tw2
- sqrt(-2.0*log(max(1 - rndGen.scalar01(), VSMALL)))*nw
rndGen.GaussNormal<scalar>()*tw1
+ rndGen.GaussNormal<scalar>()*tw2
- sqrt(-2.0*log(max(1 - rndGen.sample01<scalar>(), VSMALL)))*nw
);
U += cloud.boundaryU().boundaryField()[wppIndex][wppLocalFace];

View File

@ -73,9 +73,9 @@ void Foam::MixedDiffuseSpecular<CloudType>::correct
CloudType& cloud(this->owner());
Random& rndGen(cloud.rndGen());
Random& rndGen = cloud.rndGen();
if (diffuseFraction_ > rndGen.scalar01())
if (diffuseFraction_ > rndGen.sample01<scalar>())
{
// Diffuse reflection
@ -87,12 +87,11 @@ void Foam::MixedDiffuseSpecular<CloudType>::correct
// If the incident velocity is parallel to the face normal, no
// tangential direction can be chosen. Add a perturbation to the
// incoming velocity and recalculate.
U = vector
(
U.x()*(0.8 + 0.2*rndGen.scalar01()),
U.y()*(0.8 + 0.2*rndGen.scalar01()),
U.z()*(0.8 + 0.2*rndGen.scalar01())
U.x()*(0.8 + 0.2*rndGen.sample01<scalar>()),
U.y()*(0.8 + 0.2*rndGen.sample01<scalar>()),
U.z()*(0.8 + 0.2*rndGen.sample01<scalar>())
);
U_dot_nw = U & nw;
@ -115,9 +114,9 @@ void Foam::MixedDiffuseSpecular<CloudType>::correct
U =
sqrt(physicoChemical::k.value()*T/mass)
*(
rndGen.GaussNormal()*tw1
+ rndGen.GaussNormal()*tw2
- sqrt(-2.0*log(max(1 - rndGen.scalar01(), VSMALL)))*nw
rndGen.GaussNormal<scalar>()*tw1
+ rndGen.GaussNormal<scalar>()*tw2
- sqrt(-2.0*log(max(1 - rndGen.sample01<scalar>(), VSMALL)))*nw
);
U += cloud.boundaryU().boundaryField()[wppIndex][wppLocalFace];

View File

@ -42,7 +42,7 @@ namespace distributionModels
Foam::distributionModels::RosinRammler::RosinRammler
(
const dictionary& dict,
cachedRandom& rndGen
Random& rndGen
)
:
distributionModel(typeName, dict, rndGen),

View File

@ -82,7 +82,7 @@ public:
// Constructors
//- Construct from components
RosinRammler(const dictionary& dict, cachedRandom& rndGen);
RosinRammler(const dictionary& dict, Random& rndGen);
//- Construct copy
RosinRammler(const RosinRammler& p);

View File

@ -78,7 +78,7 @@ void Foam::distributionModels::binned::initialise()
Foam::distributionModels::binned::binned
(
const dictionary& dict,
cachedRandom& rndGen
Random& rndGen
)
:
distributionModel(typeName, dict, rndGen),
@ -102,7 +102,7 @@ Foam::distributionModels::binned::binned
(
const UList<scalar>& sampleData,
const scalar binWidth,
cachedRandom& rndGen
Random& rndGen
)
:
distributionModel(typeName, dictionary::null, rndGen),

View File

@ -96,14 +96,14 @@ public:
// Constructors
//- Construct from dictionary
binned(const dictionary& dict, cachedRandom& rndGen);
binned(const dictionary& dict, Random& rndGen);
//- Construct from components
binned
(
const UList<scalar>& sampleData,
const scalar binWidth,
cachedRandom& rndGen
Random& rndGen
);
//- Construct copy

View File

@ -66,7 +66,7 @@ Foam::distributionModels::distributionModel::distributionModel
(
const word& name,
const dictionary& dict,
cachedRandom& rndGen
Random& rndGen
)
:
distributionModelDict_(dict),

View File

@ -55,7 +55,7 @@ SourceFiles
#include "IOdictionary.H"
#include "autoPtr.H"
#include "cachedRandom.H"
#include "Random.H"
// * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * //
@ -79,7 +79,7 @@ protected:
const dictionary distributionModelDict_;
//- Reference to the random number generator
cachedRandom& rndGen_;
Random& rndGen_;
// Protected Member Functions
@ -102,7 +102,7 @@ public:
dictionary,
(
const dictionary& dict,
cachedRandom& rndGen
Random& rndGen
),
(dict, rndGen)
);
@ -115,7 +115,7 @@ public:
(
const word& name,
const dictionary& dict,
cachedRandom& rndGen
Random& rndGen
);
//- Construct copy
@ -129,7 +129,7 @@ public:
static autoPtr<distributionModel> New
(
const dictionary& dict,
cachedRandom& rndGen
Random& rndGen
);

View File

@ -31,7 +31,7 @@ Foam::autoPtr<Foam::distributionModels::distributionModel>
Foam::distributionModels::distributionModel::New
(
const dictionary& dict,
cachedRandom& rndGen
Random& rndGen
)
{
const word modelType(dict.lookup("type"));

View File

@ -42,7 +42,7 @@ namespace distributionModels
Foam::distributionModels::exponential::exponential
(
const dictionary& dict,
cachedRandom& rndGen
Random& rndGen
)
:
distributionModel(typeName, dict, rndGen),

View File

@ -75,7 +75,7 @@ public:
// Constructors
//- Construct from components
exponential(const dictionary& dict, cachedRandom& rndGen);
exponential(const dictionary& dict, Random& rndGen);
//- Construct copy
exponential(const exponential& p);

View File

@ -42,7 +42,7 @@ namespace distributionModels
Foam::distributionModels::fixedValue::fixedValue
(
const dictionary& dict,
cachedRandom& rndGen
Random& rndGen
)
:
distributionModel(typeName, dict, rndGen),

View File

@ -66,7 +66,7 @@ public:
// Constructors
//- Construct from components
fixedValue(const dictionary& dict, cachedRandom& rndGen);
fixedValue(const dictionary& dict, Random& rndGen);
//- Construct copy
fixedValue(const fixedValue& p);

View File

@ -78,7 +78,7 @@ void Foam::distributionModels::general::initialise()
Foam::distributionModels::general::general
(
const dictionary& dict,
cachedRandom& rndGen
Random& rndGen
)
:
distributionModel(typeName, dict, rndGen),
@ -96,7 +96,7 @@ Foam::distributionModels::general::general
(
const UList<scalar>& sampleData,
const scalar binWidth,
cachedRandom& rndGen
Random& rndGen
)
:
distributionModel(typeName, dictionary::null, rndGen),

View File

@ -96,14 +96,14 @@ public:
// Constructors
//- Construct from components
general(const dictionary& dict, cachedRandom& rndGen);
general(const dictionary& dict, Random& rndGen);
//- Construct from components
general
(
const UList<scalar>& sampleData,
const scalar binWidth,
cachedRandom& rndGen
Random& rndGen
);
//- Construct copy

View File

@ -42,7 +42,7 @@ namespace distributionModels
Foam::distributionModels::massRosinRammler::massRosinRammler
(
const dictionary& dict,
cachedRandom& rndGen
Random& rndGen
)
:
distributionModel(typeName, dict, rndGen),

View File

@ -93,7 +93,7 @@ public:
// Constructors
//- Construct from components
massRosinRammler(const dictionary& dict, cachedRandom& rndGen);
massRosinRammler(const dictionary& dict, Random& rndGen);
//- Construct copy
massRosinRammler(const massRosinRammler& p);

View File

@ -42,7 +42,7 @@ namespace distributionModels
Foam::distributionModels::multiNormal::multiNormal
(
const dictionary& dict,
cachedRandom& rndGen
Random& rndGen
)
:
distributionModel(typeName, dict, rndGen),

View File

@ -85,7 +85,7 @@ public:
// Constructors
//- Construct from components
multiNormal(const dictionary& dict, cachedRandom& rndGen);
multiNormal(const dictionary& dict, Random& rndGen);
//- Construct copy
multiNormal(const multiNormal& p);

View File

@ -43,7 +43,7 @@ namespace distributionModels
Foam::distributionModels::normal::normal
(
const dictionary& dict,
cachedRandom& rndGen
Random& rndGen
)
:
distributionModel(typeName, dict, rndGen),

View File

@ -85,7 +85,7 @@ public:
// Constructors
//- Construct from components
normal(const dictionary& dict, cachedRandom& rndGen);
normal(const dictionary& dict, Random& rndGen);
//- Construct copy
normal(const normal& p);

View File

@ -42,7 +42,7 @@ namespace distributionModels
Foam::distributionModels::uniform::uniform
(
const dictionary& dict,
cachedRandom& rndGen
Random& rndGen
)
:
distributionModel(typeName, dict, rndGen),

View File

@ -70,7 +70,7 @@ public:
// Constructors
//- Construct from components
uniform(const dictionary& dict, cachedRandom& rndGen);
uniform(const dictionary& dict, Random& rndGen);
//- Construct copy
uniform(const uniform& p);

View File

@ -316,13 +316,7 @@ Foam::KinematicCloud<CloudType>::KinematicCloud
(
particleProperties_.subOrEmptyDict("subModels", solution_.active())
),
rndGen_
(
label(0),
solution_.steadyState() ?
particleProperties_.lookupOrDefault<label>("randomSampleSize", 100000)
: -1
),
rndGen_(Pstream::myProcNo()),
cellOccupancyPtr_(),
cellLengthScale_(cbrt(mesh_.V())),
rho_(rho),
@ -515,7 +509,7 @@ Foam::KinematicCloud<CloudType>::KinematicCloud
solution_(mesh),
constProps_(),
subModelProperties_(dictionary::null),
rndGen_(0, 0),
rndGen_(),
cellOccupancyPtr_(nullptr),
cellLengthScale_(c.cellLengthScale_),
rho_(c.rho_),

View File

@ -59,7 +59,7 @@ SourceFiles
#include "kinematicCloud.H"
#include "IOdictionary.H"
#include "autoPtr.H"
#include "cachedRandom.H"
#include "Random.H"
#include "fvMesh.H"
#include "volFields.H"
#include "fvMatrices.H"
@ -163,7 +163,7 @@ protected:
const dictionary subModelProperties_;
//- Random number generator - used by some injection routines
mutable cachedRandom rndGen_;
mutable Random rndGen_;
//- Cell occupancy information for each parcel, (demand driven)
autoPtr<List<DynamicList<parcelType*>>> cellOccupancyPtr_;
@ -366,7 +366,7 @@ public:
// Cloud data
//- Return reference to the random object
inline cachedRandom& rndGen() const;
inline Random& rndGen() const;
//- Return the cell occupancy information for each
// parcel, non-const access, the caller is

View File

@ -356,7 +356,7 @@ inline Foam::scalar Foam::KinematicCloud<CloudType>::Dmax() const
template<class CloudType>
inline Foam::cachedRandom& Foam::KinematicCloud<CloudType>::rndGen() const
inline Foam::Random& Foam::KinematicCloud<CloudType>::rndGen() const
{
return rndGen_;
}

View File

@ -171,16 +171,16 @@ void Foam::ParticleCollector<CloudType>::initConcentricCircles()
}
else
{
// set 4 quadrants for single sector cases
// Set 4 quadrants for single sector cases
nS = 4;
vector tangent = Zero;
scalar magTangent = 0.0;
Random rnd(1234);
Random& rnd = this->owner().rndGen();
while (magTangent < SMALL)
{
vector v = rnd.vector01();
vector v = rnd.sample01<vector>();
tangent = v - (v & normal_[0])*normal_[0];
magTangent = mag(tangent);

View File

@ -40,7 +40,7 @@ void Foam::CellZoneInjection<CloudType>::setPositions
const fvMesh& mesh = this->owner().mesh();
const scalarField& V = mesh.V();
const label nCells = cellZoneCells.size();
cachedRandom& rnd = this->owner().rndGen();
Random& rnd = this->owner().rndGen();
DynamicList<vector> positions(nCells); // initial size only
DynamicList<label> injectorCells(nCells); // initial size only

View File

@ -110,7 +110,7 @@ Foam::ConeInjection<CloudType>::ConeInjection
vector tangent = Zero;
scalar magTangent = 0.0;
cachedRandom& rnd = this->owner().rndGen();
Random& rnd = this->owner().rndGen();
while (magTangent < SMALL)
{
vector v = rnd.sample01<vector>();
@ -260,7 +260,7 @@ void Foam::ConeInjection<CloudType>::setProperties
typename CloudType::parcelType& parcel
)
{
cachedRandom& rnd = this->owner().rndGen();
Random& rnd = this->owner().rndGen();
// Set particle velocity
const label i = parcelI % positionAxis_.size();

View File

@ -175,7 +175,7 @@ Foam::ConeNozzleInjection<CloudType>::ConeNozzleInjection
setFlowType();
cachedRandom& rndGen = this->owner().rndGen();
Random& rndGen = this->owner().rndGen();
// Normalise direction vector
direction_ /= mag(direction_);
@ -321,7 +321,7 @@ void Foam::ConeNozzleInjection<CloudType>::setPositionAndCell
label& tetPti
)
{
cachedRandom& rndGen = this->owner().rndGen();
Random& rndGen = this->owner().rndGen();
scalar beta = mathematical::twoPi*rndGen.sample01<scalar>();
normal_ = tanVec1_*cos(beta) + tanVec2_*sin(beta);
@ -373,7 +373,7 @@ void Foam::ConeNozzleInjection<CloudType>::setProperties
typename CloudType::parcelType& parcel
)
{
cachedRandom& rndGen = this->owner().rndGen();
Random& rndGen = this->owner().rndGen();
// Set particle velocity
const scalar deg2Rad = mathematical::pi/180.0;

View File

@ -205,7 +205,7 @@ Foam::label Foam::InflationInjection<CloudType>::parcelsToInject
newParticles_.clear();
cachedRandom& rnd = this->owner().rndGen();
Random& rnd = this->owner().rndGen();
// Diameter factor, when splitting particles into 4, this is the
// factor that modifies the diameter.

View File

@ -148,7 +148,7 @@ void Foam::InjectedParticleDistributionInjection<CloudType>::initialise()
scalar minTime = GREAT;
// Populate injector properties, filtering out invalid entries
cachedRandom& rnd = this->owner().rndGen();
Random& rnd = this->owner().rndGen();
label injectori = 0;
forAll(injDiameter, i)
{
@ -448,7 +448,7 @@ void Foam::InjectedParticleDistributionInjection<CloudType>::setPositionAndCell
label& tetPtI
)
{
cachedRandom& rnd = this->owner().rndGen();
Random& rnd = this->owner().rndGen();
currentInjectori_ = rnd.globalPosition<label>(0, position_.size() - 1);
currentSamplei_ = rnd.globalPosition<label>(0, resampleSize_ - 1);

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@ -182,7 +182,7 @@ void Foam::KinematicLookupTableInjection<CloudType>::setPositionAndCell
label injectorI = 0;
if (randomise_)
{
cachedRandom& rnd = this->owner().rndGen();
Random& rnd = this->owner().rndGen();
injectorI = rnd.position<label>(0, injectorCells_.size() - 1);
}
else

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@ -162,7 +162,7 @@ Foam::label Foam::PatchFlowRateInjection<CloudType>::parcelsToInject
scalar nParcels = parcelConcentration_*c*flowRate()*dt;
cachedRandom& rnd = this->owner().rndGen();
Random& rnd = this->owner().rndGen();
label nParcelsToInject = floor(nParcels);

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@ -121,7 +121,7 @@ Foam::label Foam::PatchInjection<CloudType>::parcelsToInject
if ((time0 >= 0.0) && (time0 < duration_))
{
scalar nParcels = (time1 - time0)*parcelsPerSecond_;
cachedRandom& rnd = this->owner().rndGen();
Random& rnd = this->owner().rndGen();
scalar rndPos = rnd.globalPosition(scalar(0), scalar(1));
label nParcelsToInject = floor(nParcels);

View File

@ -26,7 +26,7 @@ License
#include "patchInjectionBase.H"
#include "polyMesh.H"
#include "SubField.H"
#include "cachedRandom.H"
#include "Random.H"
#include "triPointRef.H"
#include "volFields.H"
#include "polyMeshTetDecomposition.H"
@ -151,7 +151,7 @@ void Foam::patchInjectionBase::updateMesh(const polyMesh& mesh)
void Foam::patchInjectionBase::setPositionAndCell
(
const fvMesh& mesh,
cachedRandom& rnd,
Random& rnd,
vector& position,
label& cellOwner,
label& tetFacei,

View File

@ -54,7 +54,7 @@ namespace Foam
// Forward class declarations
class polyMesh;
class fvMesh;
class cachedRandom;
class Random;
/*---------------------------------------------------------------------------*\
Class patchInjectionBase Declaration
@ -118,7 +118,7 @@ public:
virtual void setPositionAndCell
(
const fvMesh& mesh,
cachedRandom& rnd,
Random& rnd,
vector& position,
label& cellOwner,
label& tetFacei,

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@ -71,7 +71,7 @@ Foam::scalar Foam::IsotropyModels::Stochastic<CloudType>::sampleGauss()
}
else
{
cachedRandom& rndGen = this->owner().rndGen();
Random& rndGen = this->owner().rndGen();
scalar f, m, x, y;
@ -98,7 +98,7 @@ void Foam::IsotropyModels::Stochastic<CloudType>::calculate()
{
const fvMesh& mesh = this->owner().mesh();
const scalar deltaT(this->owner().db().time().deltaTValue());
cachedRandom& rndGen = this->owner().rndGen();
Random& rndGen = this->owner().rndGen();
const scalar oneBySqrtThree = sqrt(1.0/3.0);

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@ -181,7 +181,7 @@ void Foam::ReactingLookupTableInjection<CloudType>::setPositionAndCell
label injectorI = 0;
if (randomise_)
{
cachedRandom& rnd = this->owner().rndGen();
Random& rnd = this->owner().rndGen();
injectorI = rnd.position<label>(0, injectorCells_.size() - 1);
}
else

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@ -187,7 +187,7 @@ void Foam::ReactingMultiphaseLookupTableInjection<CloudType>::setPositionAndCell
label injectorI = 0;
if (randomise_)
{
cachedRandom& rnd = this->owner().rndGen();
Random& rnd = this->owner().rndGen();
injectorI = rnd.position<label>(0, injectorCells_.size() - 1);
}
else

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@ -182,7 +182,7 @@ void Foam::ThermoLookupTableInjection<CloudType>::setPositionAndCell
label injectorI = 0;
if (randomise_)
{
cachedRandom& rnd = this->owner().rndGen();
Random& rnd = this->owner().rndGen();
injectorI = rnd.position<label>(0, injectorCells_.size() - 1);
}
else

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@ -101,7 +101,7 @@ protected:
typedef typename CloudType::parcelType parcelType;
//- Reference to the cloud random number generator
cachedRandom& rndGen_;
Random& rndGen_;
//- Reference to the cloud thermo package
const SLGThermo& thermo_;

View File

@ -1041,11 +1041,11 @@ void Foam::moleculeCloud::createMolecule
{
pi = equipartitionAngularMomentum(temperature, cP);
scalar phi(rndGen_.scalar01()*twoPi);
scalar phi(rndGen_.sample01<scalar>()*twoPi);
scalar theta(rndGen_.scalar01()*twoPi);
scalar theta(rndGen_.sample01<scalar>()*twoPi);
scalar psi(rndGen_.scalar01()*twoPi);
scalar psi(rndGen_.sample01<scalar>()*twoPi);
Q = tensor
(

View File

@ -301,12 +301,9 @@ inline Foam::vector Foam::moleculeCloud::equipartitionLinearVelocity
scalar mass
)
{
return sqrt(physicoChemical::k.value()*temperature/mass)*vector
(
rndGen_.GaussNormal(),
rndGen_.GaussNormal(),
rndGen_.GaussNormal()
);
return
sqrt(physicoChemical::k.value()*temperature/mass)
*rndGen_.GaussNormal<vector>();
}
@ -323,17 +320,17 @@ inline Foam::vector Foam::moleculeCloud::equipartitionAngularMomentum
return sqrtKbT*vector
(
0.0,
sqrt(cP.momentOfInertia().yy())*rndGen_.GaussNormal(),
sqrt(cP.momentOfInertia().zz())*rndGen_.GaussNormal()
sqrt(cP.momentOfInertia().yy())*rndGen_.GaussNormal<scalar>(),
sqrt(cP.momentOfInertia().zz())*rndGen_.GaussNormal<scalar>()
);
}
else
{
return sqrtKbT*vector
(
sqrt(cP.momentOfInertia().xx())*rndGen_.GaussNormal(),
sqrt(cP.momentOfInertia().yy())*rndGen_.GaussNormal(),
sqrt(cP.momentOfInertia().zz())*rndGen_.GaussNormal()
sqrt(cP.momentOfInertia().xx())*rndGen_.GaussNormal<scalar>(),
sqrt(cP.momentOfInertia().yy())*rndGen_.GaussNormal<scalar>(),
sqrt(cP.momentOfInertia().zz())*rndGen_.GaussNormal<scalar>()
);
}
}

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@ -136,7 +136,7 @@ public:
const vector& injectionPos,
const scalar pAmbient,
const scalar chi,
cachedRandom& rndGen
Random& rndGen
) const = 0;
};

View File

@ -92,7 +92,7 @@ void Foam::BlobsSheetAtomization<CloudType>::update
const vector& injectionPos,
const scalar pAmbient,
const scalar chi,
cachedRandom& rndGen
Random& rndGen
) const
{
scalar lBU =

View File

@ -122,7 +122,7 @@ public:
const vector& injectionPos,
const scalar pAmbient,
const scalar chi,
cachedRandom& rndGen
Random& rndGen
) const;
};

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@ -118,7 +118,7 @@ void Foam::LISAAtomization<CloudType>::update
const vector& injectionPos,
const scalar pAmbient,
const scalar chi,
cachedRandom& rndGen
Random& rndGen
) const
{
if (volFlowRate < SMALL)

View File

@ -142,7 +142,7 @@ public:
const vector& injectionPos,
const scalar pAmbient,
const scalar chi,
cachedRandom& rndGen
Random& rndGen
) const;
};

View File

@ -95,7 +95,7 @@ void Foam::NoAtomization<CloudType>::update
const vector& injectionPos,
const scalar pAmbient,
const scalar chi,
cachedRandom& rndGen
Random& rndGen
) const
{}

View File

@ -105,7 +105,7 @@ public:
const vector& injectionPos,
const scalar pAmbient,
const scalar chi,
cachedRandom& rndGen
Random& rndGen
) const;
};

View File

@ -138,7 +138,7 @@ bool Foam::SHF<CloudType>::update
scalar& massChild
)
{
cachedRandom& rndGen = this->owner().rndGen();
Random& rndGen = this->owner().rndGen();
bool addChild = false;

View File

@ -110,7 +110,7 @@ bool Foam::TAB<CloudType>::update
scalar& massChild
)
{
cachedRandom& rndGen = this->owner().rndGen();
Random& rndGen = this->owner().rndGen();
scalar r = 0.5*d;
scalar r2 = r*r;

View File

@ -100,7 +100,7 @@ Foam::vector Foam::GradientDispersionRAS<CloudType>::update
scalar& tTurb
)
{
cachedRandom& rnd = this->owner().rndGen();
Random& rnd = this->owner().rndGen();
const scalar cps = 0.16432;

View File

@ -71,7 +71,7 @@ Foam::vector Foam::StochasticDispersionRAS<CloudType>::update
scalar& tTurb
)
{
cachedRandom& rnd = this->owner().rndGen();
Random& rnd = this->owner().rndGen();
const scalar cps = 0.16432;

View File

@ -206,7 +206,7 @@ Foam::forceSuSp Foam::BrownianMotionForce<CloudType>::calcCoupled
// To generate a spherical distribution:
cachedRandom& rnd = this->owner().rndGen();
Random& rnd = this->owner().rndGen();
const scalar theta = rnd.sample01<scalar>()*twoPi;
const scalar u = 2*rnd.sample01<scalar>() - 1;

View File

@ -46,7 +46,7 @@ SourceFiles
#define BrownianMotionForce_H
#include "ParticleForce.H"
#include "cachedRandom.H"
#include "Random.H"
// * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * //
@ -65,7 +65,7 @@ class BrownianMotionForce
// Private data
//- Reference to the cloud random number generator
cachedRandom& rndGen_;
Random& rndGen_;
//- Molecular free path length [m]
const scalar lambda_;

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