runqpcpp.cpp File Reference

#include "qpSWIFT.h"
#include "iostream"

Include dependency graph for runqpcpp.cpp:

Functions
int	main (int argv, char **argc)

Function Documentation

main()

int main	(	int	argv,
		char **	argc
	)

Number of Decision Variables

Number of Inequality Constraints

Number of equality Constraints

Setup Function Dense Format

To use with Eigen

myQP = QP_SETUP_dense(n, m, p, P.data(), A.data(), G.data(), c.data(), h.data(), b.data(), NULL, COLUMN_MAJOR_ORDERING);

For only inequality constrained QP set the pointers of A matrix and b vectro to zero and p = 0

myQP = QP_SETUP_dense(n, m, 0, P.data(), NULL, G.data(), c.data(), h.data(), NULL, NULL, COLUMN_MAJOR_ORDERING);

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After this, you can change the solver settings like this myQP->options->maxit = 30 (to change the maximum number of iterations to 30; default is 100) myQP->options->reltol = 1e-3 (to change the Relative tolerance to 1e-3; default is 1e-6) myQP->options->abstol = 1e-3 (to change the Absolute tolerance to 1e-3; default is 1e-6) myQP->options->SIGMA = 50 (to change the SIGMA to 50; default is 100; recommended not to change this) myQP->options->VERBOSE = 0 (displays no output when set to 0; default is 1 which corresponds to complete verbose mode)

The Solution can be found as real pointer in myQP->x;It is an array of Dimension n