SparseJacobianMatrix Class Reference

a sparse Jacobian matrix data structure More...

#include <OSGeneral.h>

List of all members.

Public Member Functions

 SparseJacobianMatrix ()
 Default constructor.
 SparseJacobianMatrix (int startSize, int valueSize)
 Constructor.
 ~SparseJacobianMatrix ()
 Default destructor.

Public Attributes

bool bDeleteArrays
 bDeleteArrays is true if we delete the arrays in garbage collection set to true by default
int startSize
 startSize is the dimension of the starts array -- should equal number of rows + 1
int valueSize
 valueSize is the dimension of the values array
int * starts
 starts holds an integer array of start elements, each start element pints to the start of partials for that row
int * conVals
 conVals holds an integer array of integers, conVals[i] is the number of constant terms in the gradient for row i.
int * indexes
 indexes holds an integer array of variable indicies.
double * values
 values holds a double array of nonzero partial derivatives


Detailed Description

a sparse Jacobian matrix data structure

Definition at line 166 of file OSGeneral.h.


Constructor & Destructor Documentation

SparseJacobianMatrix::SparseJacobianMatrix (  ) 

Default constructor.

Definition at line 147 of file OSGeneral.cpp.

SparseJacobianMatrix::SparseJacobianMatrix ( int  startSize,
int  valueSize 
)

Constructor.

Parameters:
startSize holds the size of the start array.
valueSize holds the size of the value and index arrays.

Definition at line 159 of file OSGeneral.cpp.

References conVals, values, and valueSize.

SparseJacobianMatrix::~SparseJacobianMatrix (  ) 

Default destructor.

Definition at line 171 of file OSGeneral.cpp.

References bDeleteArrays, conVals, and values.


Member Data Documentation

bool SparseJacobianMatrix::bDeleteArrays

bDeleteArrays is true if we delete the arrays in garbage collection set to true by default

Definition at line 173 of file OSGeneral.h.

Referenced by OSInstance::getJacobianSparsityPattern(), and ~SparseJacobianMatrix().

int SparseJacobianMatrix::startSize

startSize is the dimension of the starts array -- should equal number of rows + 1

Definition at line 178 of file OSGeneral.h.

Referenced by main().

int SparseJacobianMatrix::valueSize

valueSize is the dimension of the values array

Definition at line 183 of file OSGeneral.h.

Referenced by IpoptProblem::get_nlp_info(), BonminProblem::get_nlp_info(), OSInstance::getJacobianSparsityPattern(), KnitroProblem::loadProblemIntoKnitro(), and SparseJacobianMatrix().

int* SparseJacobianMatrix::starts

starts holds an integer array of start elements, each start element pints to the start of partials for that row

Definition at line 189 of file OSGeneral.h.

Referenced by OSInstance::calculateFunctionValue(), IpoptProblem::eval_jac_g(), BonminProblem::eval_jac_g(), OSInstance::getFirstOrderResults(), OSInstance::getJacobianSparsityPattern(), OSInstance::getSecondOrderResults(), OSInstance::getZeroOrderResults(), KnitroProblem::loadProblemIntoKnitro(), and main().

int* SparseJacobianMatrix::conVals

conVals holds an integer array of integers, conVals[i] is the number of constant terms in the gradient for row i.

Definition at line 195 of file OSGeneral.h.

Referenced by OSInstance::calculateFunctionValue(), OSInstance::getJacobianSparsityPattern(), OSInstance::getZeroOrderResults(), main(), SparseJacobianMatrix(), and ~SparseJacobianMatrix().

int* SparseJacobianMatrix::indexes

indexes holds an integer array of variable indicies.

Definition at line 200 of file OSGeneral.h.

Referenced by OSInstance::calculateFunctionValue(), IpoptProblem::eval_jac_g(), BonminProblem::eval_jac_g(), OSInstance::getFirstOrderResults(), OSInstance::getJacobianSparsityPattern(), OSInstance::getSecondOrderResults(), OSInstance::getZeroOrderResults(), KnitroProblem::loadProblemIntoKnitro(), and main().

double* SparseJacobianMatrix::values

values holds a double array of nonzero partial derivatives

Definition at line 205 of file OSGeneral.h.

Referenced by OSInstance::calculateFunctionValue(), CheckGradientValues(), KnitroProblem::evalGA(), OSInstance::getFirstOrderResults(), OSInstance::getJacobianSparsityPattern(), OSInstance::getSecondOrderResults(), OSInstance::getZeroOrderResults(), main(), SparseJacobianMatrix(), and ~SparseJacobianMatrix().


The documentation for this class was generated from the following files:
Generated on Fri Nov 19 13:32:48 2010 by  doxygen 1.4.7