is_feasible

Checks if provided solution is a feasible solution.

int is_feasible(lprec *lp, REAL *values);

Return Value

is_feasible returns FALSE (0) or TRUE (1) that indicates if provided solution is feasible.

Parameters

lp

Pointer to previously created lp model. See return value of make_lp, copy_lp, read_lp, read_lp_file, read_LP, read_mps, read_MPS

values

An array of row/column values that are checked against the bounds and ranges.
The array must have 1+get_Nrows+get_Ncolumns elements. Element 0 is not used.

Remarks

The is_feasible function checks if provided solution is a feasible solution. All values of the values array must be between the bounds and ranges to be a feasible solution.
This value is only valid after a successful solve or lag_solve.

Example

#include <stdio.h>
#include <stdlib.h>
#include "lpkit.h"

int main(void)
{
  lprec *lp;
  REAL values[1+2];
  int feasible;

  /* Create a new LP model */
  lp = make_lp(1, 1);
  if(lp == NULL) {
    fprintf(stderr, "Unable to create new LP model\n");
    return(1);
  }

  solve(lp);

  values[0] = 0.0;
  values[1] = 1.0;
  values[2] = 2.0;
  feasible = is_feasible(lp, values); /* Will return TRUE */

  delete_lp(lp);
  return(0);
}

lp_solve API reference

See Also make_lp, copy_lp, read_lp, read_lp_file, read_LP, read_mps, read_MPS, get_objective, get_variables, get_ptr_variables, get_constraints, get_ptr_constraints, get_primal_solution, get_ptr_primal_solution, get_work_solution, get_ptr_work_solution, get_sensitivity_rhs, get_ptr_sensitivity_rhs, get_reduced_costs, get_ptr_reduced_costs, get_sensitivity_obj, get_ptr_sensitivity_obj, get_sensitivity_objex, get_ptr_sensitivity_objex