LocalEnergyMinimizer¶

class
OpenMM::
LocalEnergyMinimizer
¶ Given a
Context
, this class searches for a new set of particle positions that represent a local minimum of the potential energy. The search is performed with the LBFGS algorithm. Distance constraints are enforced during minimization by adding a harmonic restraining force to the potential function. The strength of the restraining force is steadily increased until the minimum energy configuration satisfies all constraints to within the tolerance specified by theContext
‘sIntegrator
.
void
minimize
(Context &context, double tolerance = 10, int maxIterations = 0)¶ Search for a new set of particle positions that represent a local potential energy minimum. On exit, the
Context
will have been updated with the new positions.Parameters:  context – a
Context
specifying theSystem
to minimize and the initial particle positions  tolerance – this specifies how precisely the energy minimum must be located. Minimization will be halted once the rootmeansquare value of all force components reaches this tolerance. The default value is 10.
 maxIterations – the maximum number of iterations to perform. If this is 0, minimation is continued until the results converge without regard to how many iterations it takes. The default value is 0.
 context – a

void