Package org.ddogleg.optimization.wrap

Class Summary

Class	Description
CachedGradientLineFunction	From separate classes for the function and gradient computations implements GradientLineFunction.
CachedNumericalGradientLineFunction	Numerically computes the gradient and line derivative.
GenericUnconstrainedLeastSquaresTests	Tests which make sure the UnconstrainedLeastSquares contract is followed.
GenericUnconstrainedMinimizationTests	Tests which make sure the UnconstrainedMinimization contract is followed.
Individual_to_CoupledDerivative	Takes two functions which independently computes the function's value and derivative and allows them to be used in a coupled function.
Individual_to_CoupledJacobian	Wrapper around FunctionNtoM and FunctionNtoMxN for CoupledJacobian.
LevenbergDampened_to_UnconstrainedLeastSquares	Wrapper around LevenbergMarquardtDampened for UnconstrainedLeastSquares
LsToNonLinear	Converts a least squares function into a nonlinear optimization function.
LsToNonLinearDeriv	Convert the Jacobian of a least squares function into a nonlinear optimization gradient.
QuasiNewtonBFGS_to_UnconstrainedMinimization	Wrapper around QuasiNewtonBFGS for UnconstrainedMinimization.
TestCachedGradientLineFunction
TestCachedNumericalGradientLineFunction
TestIndividual_to_CoupledDerivative
TestIndividual_to_CoupledJacobian
TestLevenbergDampened_to_UnconstrainedLeastSquares
TestLevenbergMarquardtDampened_to_UnconstrainedLeastSquares
TestLsToNonLinear
TestLsToNonLinearDeriv
TestLsToNonLinearDeriv.DerivLS
TestLsToNonLinearDeriv.FuncLS
TestQuasiNewtonBFGS_to_UnconstrainedMinimization
TestTrustRegionLeastSquares_to_UnconstrainedLeastSquares
TrustRegionLeastSquares_to_UnconstrainedLeastSquares	Wrapper around TrustRegionLeastSquares for UnconstrainedLeastSquares.