Specifying dimensions, lamda->lambda
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@ -62,11 +62,11 @@ sets of bins are then used to construct the neighbor lists as as further
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described by Shire, Hanley, and Stratford :ref:`(Shire) <multi-Shire>`
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and Monti et al. :ref:`(Monti) <multi-Monti>`. This imposes some extra
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setup overhead, but the searches themselves may be much faster. For
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instance in a dense binary system with a ratio of the size of the largest
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to smallest collection bin :math:`\lamda`, the computational costs of
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building a default neighbor list grows as :math:`\lamda^6` while the costs
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for *multi* grows as :math:`\lamda^3`, equivalent to the cost of force
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evaluations, as argued in Monti et al. :ref:`(Monti) <multi-Monti>`.
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instance in a dense binary system in d-dimensions with a ratio of the size
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of the largest to smallest collection bin :math:`\lambda`, the computational
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costs of building a default neighbor list grows as :math:`\lambda^d` while
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the costs for *multi* grows as :math:`\lambda^d`, equivalent to the cost
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of force evaluations, as argued in Monti et al. :ref:`(Monti) <multi-Monti>`.
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By default in *multi*, each atom type defines a separate collection
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of particles. For systems where two or more atom types have the same
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