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#Com.numericalmethod.suanshu.optimization.multivariate.unconstrained.c2 Classes and Interfaces - 24 results found.
NameDescriptionTypePackageFramework
BFGSMinimizerThe Broyden-Fletcher-Goldfarb-Shanno method is a quasi-Newton method to solve unconstrained nonlinear optimization problems.Classcom.numericalmethod.suanshu.optimization.multivariate.unconstrained.c2.quasinewtonSuanShu
ConjugateGradientMinimizerA conjugate direction optimization method is performed by using sequential line search along directions that bear a strict mathematical relationship to one another.Classcom.numericalmethod.suanshu.optimization.multivariate.unconstrained.c2.conjugatedirectionSuanShu
DFPMinimizerThe Davidon-Fletcher-Powell method is a quasi-Newton method to solve unconstrained nonlinear optimization problems.Classcom.numericalmethod.suanshu.optimization.multivariate.unconstrained.c2.quasinewtonSuanShu
FirstOrderMinimizerThis implements the steepest descent line search using the first order expansion of the Taylor's series.Classcom.numericalmethod.suanshu.optimization.multivariate.unconstrained.c2.steepestdescentSuanShu
FirstOrderMinimizer .Methodthe available methods to do line searchThe line search is done analytically.Classcom.numericalmethod.suanshu.optimization.multivariate.unconstrained.c2.steepestdescentSuanShu
FletcherLineSearchThis is Fletcher's inexact line search method.Classcom.numericalmethod.suanshu.optimization.multivariate.unconstrained.c2.linesearchSuanShu
FletcherReevesMinimizerThe Fletcher-Reeves method is a variant of the Conjugate-Gradient method.Classcom.numericalmethod.suanshu.optimization.multivariate.unconstrained.c2.conjugatedirectionSuanShu
GaussNewtonMinimizerThe Gauss-Newton method is a steepest descent method to minimize a real vector function in the form: f(x) = [f_1(x), f_2(x), .Classcom.numericalmethod.suanshu.optimization.multivariate.unconstrained.c2.steepestdescentSuanShu
GaussNewtonMinimizer .MySteepestDescentClasscom.numericalmethod.suanshu.optimization.multivariate.unconstrained.c2.steepestdescentSuanShu
HuangMinimizerHuang's updating formula is a family of formulas which encompasses the rank-one, DFP, BFGS as well as some other formulas.Classcom.numericalmethod.suanshu.optimization.multivariate.unconstrained.c2.quasinewtonSuanShu
IterativeC2MaximizerA maximization problem is simply minimizing the negative of the objective function.Classcom.numericalmethod.suanshu.optimization.multivariate.unconstrained.c2SuanShu
IterativeC2Maximizer .SolutionInterfacecom.numericalmethod.suanshu.optimization.multivariate.unconstrained.c2SuanShu
IterativeC2MinimizerThis is a minimizer that minimizes a twice continuously differentiable, multivariate function.Interfacecom.numericalmethod.suanshu.optimization.multivariate.unconstrained.c2SuanShu
LineSearchA line search is often used in another minimization algorithm to improve the current solution in one iteration step.Interfacecom.numericalmethod.suanshu.optimization.multivariate.unconstrained.c2.linesearchSuanShu
LineSearch .SolutionThis is the solution to a line search minimization.Interfacecom.numericalmethod.suanshu.optimization.multivariate.unconstrained.c2.linesearchSuanShu
McCormickMinimizerThis is the McCormick method.Classcom.numericalmethod.suanshu.optimization.multivariate.unconstrained.c2.quasinewtonSuanShu
NelderMeadMinimizerThe Nelder-Mead method is a nonlinear optimization technique, which is well-defined for twice differentiable and unimodal problems.Classcom.numericalmethod.suanshu.optimization.multivariate.unconstrained.c2SuanShu
NewtonRaphsonMinimizerThe Newton-Raphson method is a second order steepest descent method that is based on the quadratic approximation of the Taylor series.Classcom.numericalmethod.suanshu.optimization.multivariate.unconstrained.c2.steepestdescentSuanShu
PearsonMinimizerThis is the Pearson method.Classcom.numericalmethod.suanshu.optimization.multivariate.unconstrained.c2.quasinewtonSuanShu
PowellMinimizerPowell's algorithm, starting from an initial point, performs a series of line searches in one iteration.Classcom.numericalmethod.suanshu.optimization.multivariate.unconstrained.c2.conjugatedirectionSuanShu
QuasiNewtonMinimizerThe Quasi-Newton methods in optimization are for finding local maxima and minima of functions.Classcom.numericalmethod.suanshu.optimization.multivariate.unconstrained.c2.quasinewtonSuanShu
RankOneMinimizerThe Rank One method is a quasi-Newton method to solve unconstrained nonlinear optimization problems.Classcom.numericalmethod.suanshu.optimization.multivariate.unconstrained.c2.quasinewtonSuanShu
SteepestDescentMinimizerA steepest descent algorithm finds the minimum by moving along the negative of the steepest gradient direction.Classcom.numericalmethod.suanshu.optimization.multivariate.unconstrained.c2.steepestdescentSuanShu
ZangwillMinimizerZangwill's algorithm is an improved version of Powell's algorithm.Classcom.numericalmethod.suanshu.optimization.multivariate.unconstrained.c2.conjugatedirectionSuanShu