petsc-3.5.4 2015-05-23

SNESLINESEARCHL2

Secant search in the L2 norm of the function or the objective function if it is provided with SNESSetObjective(). The function norm is evaluated at points in [0, damping] to construct a polynomial fitting. This fitting is used to construct a new lambda based upon secant descent. The process is repeated on the new interval, [lambda, lambda_old], max_it - 1 times.

Options Database Keys

	-snes_linesearch_max_it <maxit>	- maximum number of iterations, default is 1
	-snes_linesearch_maxstep <length>	- the algorithm insures that a step length is never longer than this value
	-snes_linesearch_damping <damping>	- initial step is scaled back by this factor, default is 1.0
	-snes_linesearch_minlambda <minlambda>	- minimum allowable lambda

Keywords

SNES, nonlinear, line search, norm, secant

SNESLINESEARCHL2

Options Database Keys

Keywords

See Also