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Mantid::CurveFitting::AugmentedLagrangianOptimizer Member List

This is the complete list of members for Mantid::CurveFitting::AugmentedLagrangianOptimizer, including all inherited members.

AugmentedLagrangianOptimizer(const size_t nparams, const ObjFunction &objfunc)Mantid::CurveFitting::AugmentedLagrangianOptimizerinline
AugmentedLagrangianOptimizer(const size_t nparams, const ObjFunction &objfunc, const Kernel::DblMatrix &equality, const Kernel::DblMatrix &inequality)Mantid::CurveFitting::AugmentedLagrangianOptimizerinline
AugmentedLagrangianOptimizer()=deleteMantid::CurveFitting::AugmentedLagrangianOptimizer
AugmentedLagrangianOptimizer(const AugmentedLagrangianOptimizer &)=deleteMantid::CurveFitting::AugmentedLagrangianOptimizer
checkConstraints(const Kernel::DblMatrix &equality, const Kernel::DblMatrix &inequality)Mantid::CurveFitting::AugmentedLagrangianOptimizerprivate
m_eqMantid::CurveFitting::AugmentedLagrangianOptimizerprivate
m_ineqMantid::CurveFitting::AugmentedLagrangianOptimizerprivate
m_maxIterMantid::CurveFitting::AugmentedLagrangianOptimizerprivate
m_neqMantid::CurveFitting::AugmentedLagrangianOptimizerprivate
m_nineqMantid::CurveFitting::AugmentedLagrangianOptimizerprivate
m_nparamsMantid::CurveFitting::AugmentedLagrangianOptimizerprivate
m_userfuncMantid::CurveFitting::AugmentedLagrangianOptimizerprivate
minimize(std::vector< double > &xv) constMantid::CurveFitting::AugmentedLagrangianOptimizer
numEqualityConstraints() constMantid::CurveFitting::AugmentedLagrangianOptimizerinline
numInequalityConstraints() constMantid::CurveFitting::AugmentedLagrangianOptimizerinline
numParameters() constMantid::CurveFitting::AugmentedLagrangianOptimizerinline
ObjFunction typedefMantid::CurveFitting::AugmentedLagrangianOptimizer
operator=(const AugmentedLagrangianOptimizer &)=deleteMantid::CurveFitting::AugmentedLagrangianOptimizer
setMaxIterations(const int maxIter)Mantid::CurveFitting::AugmentedLagrangianOptimizerinline
UnconstrainedCostFunctionMantid::CurveFitting::AugmentedLagrangianOptimizerfriend
unconstrainedOptimization(const std::vector< double > &lambda, const std::vector< double > &mu, const double rho, std::vector< double > &xcur) constMantid::CurveFitting::AugmentedLagrangianOptimizerprivate
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