Inheritance diagram for ElecMinimizer:

Public Member Functions
	ElecMinimizer (Everything &e)

void	step (const ElecGradient &dir, double alpha)
	Move the state in parameter space along direction dir with scale alpha.

double	compute (ElecGradient *grad)
	Returns the objective function at the current state and store the gradient in grad, if non-null.

ElecGradient	precondition (const ElecGradient &grad)

bool	report (int iter)

void	constrain (ElecGradient &)

double	sync (double x) const
	All processes minimize together; make sure scalars are in sync to round-off error.

Public Member Functions inherited from Minimizable< ElecGradient >
double	minimize (const MinimizeParams &params)
	Minimize this objective function with algorithm controlled by params and return the minimized value.

void	fdTest (const MinimizeParams &params)

Member Function Documentation

void ElecMinimizer::constrain ( ElecGradient & )

virtual

Constrain an arbitrary vector to the space of free directions for minimize. Used only to generate a random direction for fdTest within the valid minimization subspace.

Reimplemented from Minimizable< ElecGradient >.

ElecGradient ElecMinimizer::precondition ( const ElecGradient & grad )

virtual

Override to enable preconditioning: return the preconditioned gradient, given the gradient The last call to compute() is guaranteed to be at the same position, so a cached result may be returned

Reimplemented from Minimizable< ElecGradient >.

bool ElecMinimizer::report ( int iter )

virtual

Override for optional processing/reporting after each/every few iterations It should return whether the state was modified

Reimplemented from Minimizable< ElecGradient >.

The documentation for this class was generated from the following file:

electronic/ElecMinimizer.h

Public Member Functions

Member Function Documentation