Update minimization documentation to reflect line quadratic default
git-svn-id: svn://svn.icms.temple.edu/lammps-ro/trunk@12533 f3b2605a-c512-4ea7-a41b-209d697bcdaa
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@ -49,8 +49,20 @@ highly overlapped atoms from being moved long distances (e.g. through
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another atom) due to large forces.
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another atom) due to large forces.
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</P>
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</P>
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<P>The choice of line search algorithm for the <I>cg</I> and <I>sd</I> minimization
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<P>The choice of line search algorithm for the <I>cg</I> and <I>sd</I> minimization
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styles can be selected via the <I>line</I> keyword. The default
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styles can be selected via the <I>line</I> keyword.
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backtracking search is robust and should always find a local energy
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The default <I>quadratic</I> line search algorithm starts out using
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the robust backtracking method described below. However, once
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the system gets close to a local
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minimum and the linesearch steps get small, so that the energy
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is approximately quadratic in the step length, it uses the
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estimated location of zero gradient as the linesearch step,
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provided the energy change is downhill.
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This becomes more efficient than backtracking
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for highly-converged relaxations. The <I>forcezero</I>
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line search algorithm is similar to <I>quadratic</I>.
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It may be more efficient than <I>quadratic</I> on some systems.
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</P>
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<P>The backtracking search is robust and should always find a local energy
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minimum. However, it will "converge" when it can no longer reduce the
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minimum. However, it will "converge" when it can no longer reduce the
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energy of the system. Individual atom forces may still be larger than
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energy of the system. Individual atom forces may still be larger than
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desired at this point, because the energy change is measured as the
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desired at this point, because the energy change is measured as the
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@ -58,14 +70,6 @@ difference of two large values (energy before and energy after) and
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that difference may be smaller than machine epsilon even if atoms
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that difference may be smaller than machine epsilon even if atoms
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could move in the gradient direction to reduce forces further.
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could move in the gradient direction to reduce forces further.
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</P>
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</P>
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<P>By contrast, the <I>quadratic</I> line search algorithm tries to
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reduce the forces to zero, while guaranteeing that the energy
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changes is not positive (uphill). For some systems, it may also
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be more efficient than the backtracking algorithm by
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requiring fewer energy/force evaluations. The <I>forcezero</I>
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line search algorithm is similar to <I>quadratic</I>.
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It may be more efficient than <I>quadratic</I> on some systems.
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</P>
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<P><B>Restrictions:</B> none
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<P><B>Restrictions:</B> none
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</P>
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</P>
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<P><B>Related commands:</B>
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<P><B>Related commands:</B>
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@ -74,6 +78,6 @@ It may be more efficient than <I>quadratic</I> on some systems.
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</P>
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</P>
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<P><B>Default:</B>
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<P><B>Default:</B>
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</P>
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</P>
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<P>The option defaults are dmax = 0.1 and line = backtrack.
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<P>The option defaults are dmax = 0.1 and line = quadratic.
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</P>
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</P>
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</HTML>
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</HTML>
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