forked from lijiext/lammps
Update minimization documentation to reflect line quadratic default
git-svn-id: svn://svn.icms.temple.edu/lammps-ro/trunk@12530 f3b2605a-c512-4ea7-a41b-209d697bcdaa
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@ -261,8 +261,11 @@ volume, it can be difficult for the minimizer to equilibrate the
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system the desired pressure with high precision, particularly for
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solids. Some techniques that seem to help are (a) use the
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"min_modify line quadratic" option when minimizing with box
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relaxations, and (b) minimize several times in succession if need be,
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to drive the pressure closer to the target pressure. Also note that
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relaxations, (b) minimize several times in succession if need be,
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to drive the pressure closer to the target pressure, (c) relax
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the atom positions before relaxing the box, and (d) relax the box
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to the target hydrostatic pressure before relaxing to a target
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shear stress state. Also note that
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some systems (e.g. liquids) will not sustain a non-hydrostatic applied
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pressure, which means the minimizer will not converge.
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</P>
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@ -254,8 +254,11 @@ volume, it can be difficult for the minimizer to equilibrate the
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system the desired pressure with high precision, particularly for
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solids. Some techniques that seem to help are (a) use the
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"min_modify line quadratic" option when minimizing with box
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relaxations, and (b) minimize several times in succession if need be,
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to drive the pressure closer to the target pressure. Also note that
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relaxations, (b) minimize several times in succession if need be,
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to drive the pressure closer to the target pressure, (c) relax
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the atom positions before relaxing the box, and (d) relax the box
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to the target hydrostatic pressure before relaxing to a target
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shear stress state. Also note that
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some systems (e.g. liquids) will not sustain a non-hydrostatic applied
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pressure, which means the minimizer will not converge.
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@ -44,8 +44,20 @@ 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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The choice of line search algorithm for the {cg} and {sd} minimization
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styles can be selected via the {line} keyword. The default
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backtracking search is robust and should always find a local energy
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styles can be selected via the {line} keyword.
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The default {quadratic} 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 {forcezero}
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line search algorithm is similar to {quadratic}.
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It may be more efficient than {quadratic} on some systems.
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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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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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@ -53,14 +65,6 @@ 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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could move in the gradient direction to reduce forces further.
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By contrast, the {quadratic} 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 {forcezero}
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line search algorithm is similar to {quadratic}.
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It may be more efficient than {quadratic} on some systems.
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[Restrictions:] none
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[Related commands:]
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@ -69,4 +73,4 @@ It may be more efficient than {quadratic} on some systems.
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[Default:]
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The option defaults are dmax = 0.1 and line = backtrack.
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The option defaults are dmax = 0.1 and line = quadratic.
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