Parameters to control the minimization algorithm. More...
#include <MinimizeParams.h>
Public Types | |
| enum | DirectionUpdateScheme { PolakRibiere , FletcherReeves , HestenesStiefel , LBFGS , SteepestDescent } |
| Search direction update scheme. More... | |
| enum | LinminMethod { DirUpdateRecommended , Relax , Quad , CubicWolfe } |
| Line minimization method. More... | |
Public Member Functions | |
| MinimizeParams () | |
| Set the default values. | |
Public Attributes | |
| enum MinimizeParams::DirectionUpdateScheme | dirUpdateScheme |
| enum MinimizeParams::LinminMethod | linminMethod |
| int | nIterations |
| Maximum number of iterations (default 100) | |
| int | nDim |
| Dimension of optimization space; used only for knormThreshold (default 1) | |
| int | history |
| Number of past variables and residuals to store (BFGS only) | |
| FILE * | fpLog |
| Stream to log iterations to. | |
| const char * | linePrefix |
| prefix for each output line of minimizer, useful for nested minimizations (default "CG\t") | |
| const char * | energyLabel |
| Label for the minimized quantity (default "E") | |
| const char * | energyFormat |
| printf format for the minimized quantity (default "%22.15le") | |
| double | knormThreshold |
| stop when norm of residual against preconditioner falls below this (default: 0) | |
| double | energyDiffThreshold |
| stop when energy change is below this for nEnergyDiff successive iterations (default: 0) | |
| int | nEnergyDiff |
| number of successive iterations for energyDiffThreshold check (default: 2) | |
| double | alphaTstart |
| initial value for the test-step size (default: 1.0) | |
| double | alphaTmin |
| minimum value of the test-step size (algorithm gives up when difficulties cause alphaT to fall below this value) (default:1e-10) | |
| bool | updateTestStepSize |
| set alphaT=alpha after every iteration if true (default: true) | |
| double | alphaTreduceFactor |
| Factor to reduce alphaT on difficulties (default 0.1) | |
| double | alphaTincreaseFactor |
| Max ratio of alpha to alphaT, increase alphaT by this factor otherwise (default 3.0) | |
| int | nAlphaAdjustMax |
| maximum number of times to alpha adjust attempts (default 3) | |
| double | wolfeEnergy |
| Wolfe criterion dimensionless threshold for energy. | |
| double | wolfeGradient |
| Wolfe criterion dimensionless threshold for gradient. | |
| bool | fdTest |
| whether to perform a finite difference test before each minimization (default false) | |
Parameters to control the minimization algorithm.
Search direction update scheme.
Line minimization method.