#include <NLPProblem.hpp>

Public 成员函数
	NLPProblem (INLPProblem *problem)

errc_t	getInfo (NLPInfo &info) const

errc_t	getJacInfo (NLPJacInfo &info) const

errc_t	getBounds (NLPBounds &bounds) const

errc_t	evalFitness (const NLPInput &input, NLPOutput &output) const

std::vector< double >	evalFitness (const std::vector< double > &x) const

errc_t	evalFitness (const std::vector< double > &x, std::vector< double > &f) const

errc_t	evalFitness (int numVariable, double variable, int numObjective, double objective, int numConstrEq, double constrEq, int numConstrIneq, double constrIneq) const

errc_t	evalJacobi (int numVariable, const double variable, int numConstraint, int nnzJacobi, double nzElemjacobi) const

errc_t	evalGradient (int numVariable, const double variable, double grad) const

errc_t	getInitialGuess (int numVariable, double *variable) const

std::vector< double >	evalConstraint (const std::vector< double > &variable) const

errc_t	evalConstraint (const std::vector< double > &variable, std::vector< double > &constraint) const

errc_t	evalConstraint (int numVariable, const double variable, int numConstraint, double contraint) const

errc_t	evalObjective (int numVariable, const double variable, int numObjective, double objective) const

errc_t	evalObjective (int numVariable, const double *variable, double &objective) const

errc_t	evalGradientCD (double ustep, int ndim, const double x, double grad) const

errc_t	evalGradientFD (double ustep, int ndim, const double x, double grad) const

errc_t	evalGradientBD (double ustep, int ndim, const double x, double grad) const

errc_t	evalNLEJacobiCD (double ustep, int ndim, const double x_input, int nConstraint, double colmaj_jacobi) const

errc_t	evalNLEJacobiFD (double ustep, int ndim, const double x_input, int nConstraint, double colmaj_jacobi) const

errc_t	evalNLEJacobiBD (double ustep, int ndim, const double x_input, int nConstraint, double colmaj_jacobi) const

errc_t	evalNLEJacobiCCSFD (double ustep, int ndim, const double xinput, int m, const int iFuncRow, const int idxNNZElem, double jacobi_sparse_value) const

errc_t	evalNLENNZJacCCSNan (int ndim, const double *x_initguess, int m, std::vector< int > &iFunRow, std::vector< int > &idxNNZElem) const

errc_t	evalNLENNZJacNan (int ndim, const double *x_initguess, int m, int &nnz_jac) const

errc_t	evalNLENNZJacCOONan (int ndim, const double *x_initguess, int m, std::vector< int > &iFunRow, std::vector< int > &jVarCol) const

errc_t	evalNLENNZJacCOOSnJac (int ndim, const double *x_initguess, int m, std::vector< int > &iFunRow, std::vector< int > &jVarCol)

Protected 成员函数
	A_DISABLE_COPY (NLPProblem)

Protected 属性
INLPProblem *	m_problem

NLPInfo	m_probInfo

详细描述

非线性规划问题与相关函数

成员函数说明

◆ evalConstraint() [1/2]

std::vector< double > ast::NLPProblem::evalConstraint ( const std::vector< double > & variable ) const

计算约束

参数

variable 设计变量

返回: 不等式约束 + 等式约束

◆ evalConstraint() [2/2]

errc_t ast::NLPProblem::evalConstraint	(	const std::vector< double > &	variable,
		std::vector< double > &	constraint ) const

计算约束

参数

variable	设计变量
constraint	不等式约束 + 等式约束

返回

◆ evalFitness() [1/3]

std::vector< double > ast::NLPProblem::evalFitness ( const std::vector< double > & x ) const

计算目标函数与约束

参数

x 设计变量

返回: 目标函数 + 等式约束 + 不等式约束

◆ evalFitness() [2/3]

errc_t ast::NLPProblem::evalFitness	(	const std::vector< double > &	x,
		std::vector< double > &	f ) const

计算目标函数与约束

参数

x	设计变量
f	目标函数 + 等式约束 + 不等式约束

返回: 错误码

◆ evalFitness() [3/3]

errc_t ast::NLPProblem::evalFitness	(	int	numVariable,
		double *	variable,
		int	numObjective,
		double *	objective,
		int	numConstrEq,
		double *	constrEq,
		int	numConstrIneq,
		double *	constrIneq ) const

计算目标函数与约束

参数

numVariable
variable
numObjective
objective
numConstrEq
constrEq
numConstrIneq
constrIneq

返回

◆ evalGradient()

errc_t ast::NLPProblem::evalGradient	(	int	numVariable,
		const double *	variable,
		double *	grad ) const

计算目标函数的梯度向量

参数

numVariable
variable

返回

◆ evalGradientCD()

errc_t ast::NLPProblem::evalGradientCD	(	double	ustep,
		int	ndim,
		const double *	x,
		double *	grad ) const

一些实用函数

中心差分求解梯度.

◆ evalJacobi()

errc_t ast::NLPProblem::evalJacobi	(	int	numVariable,
		const double *	variable,
		int	numConstraint,
		int	nnzJacobi,
		double *	nzElemjacobi ) const

计算非线性方程的解析(数值)Jacobi矩阵

参数

ndim	维度
x_input	变量
nzElemjacobi	jacobi矩阵非零元素

◆ evalNLEJacobiCCSFD()

errc_t ast::NLPProblem::evalNLEJacobiCCSFD	(	double	ustep,
		int	ndim,
		const double *	xinput,
		int	m,
		const int *	iFuncRow,
		const int *	idxNNZElem,
		double *	jacobi_sparse_value ) const

根据输入的CCS稀疏模式计算Jacobi计算

参数

ndim
ustep
xinput
iFuncRow
idxNNZElem
jacobi_sparse_value	大小至少为nnz，即不小于idxNNZElem[ndim]

返回

◆ evalNLENNZJacCCSNan()

errc_t ast::NLPProblem::evalNLENNZJacCCSNan	(	int	ndim,
		const double *	x_initguess,
		int	m,
		std::vector< int > &	iFunRow,
		std::vector< int > &	idxNNZElem ) const

输出CCS格式描述的稀疏模式

参数

ndim
x_initguess
iFunRow	每个非零元素的行索引，元素按照列主排序
idxNNZElem	每一列第一个元素的索引

返回

◆ evalNLENNZJacCOONan()

errc_t ast::NLPProblem::evalNLENNZJacCOONan	(	int	ndim,
		const double *	x_initguess,
		int	m,
		std::vector< int > &	iFunRow,
		std::vector< int > &	jVarCol ) const

利用IEEE-754标准的NaN传播规则计算jacobi矩阵的稀疏模式(编译时浮点模式不能为fast) 需要x的init guess值作为输入，已获得合法解/防止非法输入产生意外的NaN 输出COO格式描述的稀疏模式

参数

iFunRow	行索引
jVarCol	列索引

返回: false: 用户要求停止

◆ evalNLENNZJacCOOSnJac()

errc_t ast::NLPProblem::evalNLENNZJacCOOSnJac	(	int	ndim,
		const double *	x_initguess,
		int	m,
		std::vector< int > &	iFunRow,
		std::vector< int > &	jVarCol )

使用snopt的snjac函数计算Jacobi矩阵的稀疏模式输出COO格式描述的稀疏模式

参数

ndim
x_initguess
m
iFunRow
jVarCol

返回

◆ evalNLENNZJacNan()

errc_t ast::NLPProblem::evalNLENNZJacNan	(	int	ndim,
		const double *	x_initguess,
		int	m,
		int &	nnz_jac ) const

计算jacobi矩阵中的非零元素数量

参数

ndim
x_initguess
m
nnz_jac

返回

该类的文档由以下文件生成:

src/AstOpt/NLPProblem.hpp
src/AstOpt/NLPProblem.cpp

Public 成员函数

Protected 成员函数

Protected 属性

详细描述

成员函数说明

◆ evalConstraint() [1/2]

◆ evalConstraint() [2/2]

◆ evalFitness() [1/3]

◆ evalFitness() [2/3]

◆ evalFitness() [3/3]

◆ evalGradient()

◆ evalGradientCD()

◆ evalJacobi()

◆ evalNLEJacobiCCSFD()

◆ evalNLENNZJacCCSNan()

◆ evalNLENNZJacCOONan()

◆ evalNLENNZJacCOOSnJac()

◆ evalNLENNZJacNan()