/* Print the dual variables of the solution */
void __declspec(dllexport) WINAPI _print_duals(lprec *lp)
{
if (lp != NULL) {
freebuferror();
print_duals(lp);
}
}
int demoImplicit(void)
{
# if defined ERROR
# undef ERROR
# endif
# define ERROR() { fprintf(stderr, "Error\n"); return(1); }
lprec *lp;
int majorversion, minorversion, release, build;
char buf[1024];
if ((lp = make_lp(0,4)) == NULL)
ERROR();
lp_solve_version(&majorversion, &minorversion, &release, &build);
/* let's first demonstrate the logfunc callback feature */
put_logfunc(lp, Mylogfunc, 0);
sprintf(buf, "lp_solve %d.%d.%d.%d demo\n\n", majorversion, minorversion, release, build);
print_str(lp, buf);
solve(lp); /* just to see that a message is send via the logfunc routine ... */
/* ok, that is enough, no more callback */
put_logfunc(lp, NULL, 0);
/* Now redirect all output to a file */
/* set_outputfile(lp, "result.txt"); */
/* set an abort function. Again optional */
put_abortfunc(lp, Myctrlcfunc, 0);
/* set a message function. Again optional */
put_msgfunc(lp, Mymsgfunc, 0, MSG_PRESOLVE | MSG_LPFEASIBLE | MSG_LPOPTIMAL | MSG_MILPEQUAL | MSG_MILPFEASIBLE | MSG_MILPBETTER);
printf("lp_solve %d.%d.%d.%d demo\n\n", majorversion, minorversion, release, build);
printf("This demo will show most of the features of lp_solve %d.%d.%d.%d\n", majorversion, minorversion, release, build);
press_ret();
printf("\nWe start by creating a new problem with 4 variables and 0 constraints\n");
printf("We use: lp=make_lp(0,4);\n");
press_ret();
printf("We can show the current problem with print_lp(lp)\n");
print_lp(lp);
press_ret();
printf("Now we add some constraints\n");
printf("str_add_constraint(lp, \"3 2 2 1\" ,LE,4)\n");
printf("This is the string version of add_constraint. For the normal version\n");
printf("of add_constraint see the help file.\n");
if (!str_add_constraint(lp, "3 2 2 1", LE, 4))
ERROR();
print_lp(lp);
press_ret();
printf("str_add_constraint(lp, \"0 4 3 1\" ,GE,3)\n");
if (!str_add_constraint(lp, "0 4 3 1", GE, 3))
ERROR();
print_lp(lp);
press_ret();
printf("Set the objective function\n");
printf("str_set_obj_fn(lp, \"2 3 -2 3\")\n");
if (!str_set_obj_fn(lp, "2 3 -2 3"))
ERROR();
print_lp(lp);
press_ret();
printf("Now solve the problem with printf(solve(lp));\n");
printf("%d",solve(lp));
press_ret();
printf("The value is 0, this means we found an optimal solution\n");
printf("We can display this solution with print_objective(lp) and print_solution(lp)\n");
print_objective(lp);
print_solution(lp, 1);
print_constraints(lp, 1);
press_ret();
printf("The dual variables of the solution are printed with\n");
printf("print_duals(lp);\n");
print_duals(lp);
press_ret();
printf("We can change a single element in the matrix with\n");
printf("set_mat(lp,2,1,0.5)\n");
if (!set_mat(lp,2,1,0.5))
ERROR();
print_lp(lp);
press_ret();
printf("If we want to maximize the objective function use set_maxim(lp);\n");
set_maxim(lp);
print_lp(lp);
press_ret();
printf("after solving this gives us:\n");
solve(lp);
print_objective(lp);
print_solution(lp, 1);
print_constraints(lp, 1);
print_duals(lp);
press_ret();
printf("Change the value of a rhs element with set_rh(lp,1,7.45)\n");
set_rh(lp,1,7.45);
print_lp(lp);
solve(lp);
print_objective(lp);
print_solution(lp, 1);
print_constraints(lp, 1);
press_ret();
printf("We change %s to the integer type with\n", get_col_name(lp, 4));
printf("set_int(lp, 4, TRUE)\n");
set_int(lp, 4, TRUE);
print_lp(lp);
printf("We set branch & bound debugging on with set_debug(lp, TRUE)\n");
set_debug(lp, TRUE);
printf("and solve...\n");
press_ret();
solve(lp);
print_objective(lp);
print_solution(lp, 1);
print_constraints(lp, 1);
press_ret();
printf("We can set bounds on the variables with\n");
printf("set_lowbo(lp,2,2); & set_upbo(lp,4,5.3)\n");
set_lowbo(lp,2,2);
set_upbo(lp,4,5.3);
print_lp(lp);
press_ret();
solve(lp);
print_objective(lp);
print_solution(lp, 1);
print_constraints(lp, 1);
press_ret();
printf("Now remove a constraint with del_constraint(lp, 1)\n");
del_constraint(lp,1);
print_lp(lp);
printf("Add an equality constraint\n");
if (!str_add_constraint(lp, "1 2 1 4", EQ, 8))
ERROR();
print_lp(lp);
press_ret();
printf("A column can be added with:\n");
printf("str_add_column(lp,\"3 2 2\");\n");
if (!str_add_column(lp,"3 2 2"))
ERROR();
print_lp(lp);
press_ret();
printf("A column can be removed with:\n");
printf("del_column(lp,3);\n");
del_column(lp,3);
print_lp(lp);
press_ret();
printf("We can use automatic scaling with:\n");
printf("set_scaling(lp, SCALE_MEAN);\n");
set_scaling(lp, SCALE_MEAN);
print_lp(lp);
press_ret();
printf("The function get_mat(lprec *lp, int row, int column) returns a single\n");
printf("matrix element\n");
printf("%s get_mat(lp,2,3), get_mat(lp,1,1); gives\n","printf(\"%f %f\\n\",");
printf("%f %f\n", (double)get_mat(lp,2,3), (double)get_mat(lp,1,1));
printf("Notice that get_mat returns the value of the original unscaled problem\n");
press_ret();
printf("If there are any integer type variables, then only the rows are scaled\n");
printf("set_scaling(lp, SCALE_MEAN);\n");
set_scaling(lp, SCALE_MEAN);
printf("set_int(lp,3,FALSE);\n");
set_int(lp,3,FALSE);
print_lp(lp);
press_ret();
solve(lp);
printf("print_objective, print_solution gives the solution to the original problem\n");
print_objective(lp);
print_solution(lp, 1);
print_constraints(lp, 1);
press_ret();
printf("Scaling is turned off with unscale(lp);\n");
unscale(lp);
print_lp(lp);
press_ret();
printf("Now turn B&B debugging off and simplex tracing on with\n");
printf("set_debug(lp, FALSE), set_trace(lp, TRUE) and solve(lp)\n");
set_debug(lp, FALSE);
set_trace(lp, TRUE);
press_ret();
solve(lp);
printf("Where possible, lp_solve will start at the last found basis\n");
printf("We can reset the problem to the initial basis with\n");
printf("default_basis(lp). Now solve it again...\n");
press_ret();
default_basis(lp);
solve(lp);
printf("It is possible to give variables and constraints names\n");
printf("set_row_name(lp,1,\"speed\"); & set_col_name(lp,2,\"money\")\n");
if (!set_row_name(lp,1,"speed"))
ERROR();
if (!set_col_name(lp,2,"money"))
ERROR();
print_lp(lp);
printf("As you can see, all column and rows are assigned default names\n");
printf("If a column or constraint is deleted, the names shift place also:\n");
press_ret();
printf("del_column(lp,1);\n");
del_column(lp,1);
print_lp(lp);
press_ret();
delete_lp(lp);
/*
printf("A lp structure can be created and read from a .lp file\n");
printf("lp = read_LP(\"lp_examples/demo_lag.lp\", TRUE);\n");
printf("The verbose option is used\n");
if ((lp = read_LP("lp_examples/demo_lag.lp", TRUE, "test")) == NULL)
ERROR();
press_ret();
printf("lp is now:\n");
print_lp(lp);
press_ret();
printf("solution:\n");
set_debug(lp, TRUE);
solve(lp);
set_debug(lp, FALSE);
print_objective(lp);
print_solution(lp, 1);
print_constraints(lp, 1);
press_ret();
printf("You can see that branch & bound was used in this problem\n");
printf("Now remove the last constraint and use lagrangian relaxation\n");
printf("del_constraint(lp,6);\n");
printf("str_add_lag_con(lp, \"1 1 1 0 0 0\", LE, 2);\n");
del_constraint(lp,6);
if (!str_add_lag_con(lp, "1 1 1 0 0 0", LE, 2))
ERROR();
print_lp(lp);
*/
/*
printf("Lagrangian relaxation is used in some heuristics. It is now possible\n");
printf("to get a feasible integer solution without usage of branch & bound.\n");
printf("Use lag_solve(lp, 0, 30); 0 is the initial bound, 30 the maximum\n");
printf("number of iterations, the last variable turns the verbose mode on.\n");
press_ret();
set_lag_trace(lp, TRUE);
printf("%d\n",lag_solve(lp, 0, 30));
printf("The returncode of lag_solve is 6 or FEAS_FOUND. this means that a feasible\n");
printf("solution has been found. For a list of other possible return values\n");
printf("see the help file. Print this solution with print_objective, print_solution\n");
print_objective(lp);
print_solution(lp, 1);
print_constraints(lp, 1);
delete_lp(lp);
*/
press_ret();
return(0);
}
int main(void)
{
lprec *lp1,*lp2;
FILE *input_file;
printf("lp_solve 2.0 demo by Jeroen J. Dirks ([email protected])\n\n");
printf("This demo will show most of the features of lp_solve 2.0\n");
press_ret();
printf("\nWe start by creating a new problem with 4 variables and 0 constraints\n");
printf("We use: lp1=make_lp(0,4);\n");
lp1=make_lp(0,4);
press_ret();
printf("We can show the current problem with print_lp(lp1)\n");
print_lp(lp1);
press_ret();
printf("Now we add some constraints\n");
printf("str_add_constraint(lp1, \"3 2 2 1\" ,LE,4)\n");
printf("This is the string version of add_constraint. For the normal version\n");
printf("of add_constraint see the file lpkit.h\n");
str_add_constraint(lp1, "3 2 2 1", LE, 4);
print_lp(lp1);
press_ret();
printf("str_add_constraint(lp1, \"0 4 3 1\" ,GE,3)\n");
str_add_constraint(lp1, "0 4 3 1", GE, 3);
print_lp(lp1);
press_ret();
printf("Set the objective function\n");
printf("str_set_obj_fn(lp1, \"2 3 -2 3\")\n");
str_set_obj_fn(lp1, "2 3 -2 3");
print_lp(lp1);
press_ret();
printf("Now solve the problem with printf(solve(lp1));\n");
printf("%d",solve(lp1));
press_ret();
printf("The value is 0, this means we found an optimal solution\n");
printf("We can display this solution with print_solution(lp1)\n");
print_solution(lp1);
press_ret();
printf("The dual variables of the solution are printed with\n");
printf("print_duals(lp1);\n");
print_duals(lp1);
press_ret();
printf("We can change a single element in the matrix with\n");
printf("set_mat(lp1,2,1,0.5)\n");
set_mat(lp1,2,1,0.5);
print_lp(lp1);
press_ret();
printf("It we want to maximise the objective function use set_maxim(lp1);\n");
set_maxim(lp1);
print_lp(lp1);
press_ret();
printf("after solving this gives us:\n");
solve(lp1);
print_solution(lp1);
print_duals(lp1);
press_ret();
printf("Change the value of a rhs element with set_rh(lp1,1,7.45)\n");
set_rh(lp1,1,7.45);
print_lp(lp1);
solve(lp1);
print_solution(lp1);
press_ret();
printf("We change Var[4] to the integer type with\n");
printf("set_int(lp1, 4, TRUE)\n");
set_int(lp1, 4, TRUE);
print_lp(lp1);
printf("We set branch & bound debugging on with lp1->debug=TRUE\n");
lp1->debug=TRUE;
printf("and solve...\n");
press_ret();
solve(lp1);
print_solution(lp1);
press_ret();
printf("We can set bounds on the variables with\n");
printf("set_lowbo(lp1,2,2); & set_upbo(lp1,4,5.3)\n");
set_lowbo(lp1,2,2);
set_upbo(lp1,4,5.3);
print_lp(lp1);
press_ret();
solve(lp1);
print_solution(lp1);
press_ret();
printf("Now remove a constraint with del_constraint(lp1, 1)\n");
del_constraint(lp1,1);
print_lp(lp1);
printf("Add an equality constraint\n");
str_add_constraint(lp1, "1 2 1 4", EQ, 8);
print_lp(lp1);
press_ret();
printf("A column can be added with:\n");
printf("str_add_column(lp1,\"3 2 2\");\n");
str_add_column(lp1,"3 2 2");
print_lp(lp1);
press_ret();
printf("A column can be removed with:\n");
printf("del_column(lp1,3);\n");
del_column(lp1,3);
print_lp(lp1);
press_ret();
printf("We can use automatic scaling with:\n");
printf("auto_scale(lp1);\n");
auto_scale(lp1);
print_lp(lp1);
press_ret();
printf("The function mat_elm(lprec *lp, int row, int column) returns a single\n");
printf("matrix element\n");
printf("%s mat_elm(lp1,2,3), mat_elm(lp1,1,1); gives\n","printf(\"%f %f\\n\",");
printf("%f %f\n",mat_elm(lp1,2,3), mat_elm(lp1,1,1));
printf("Notice that mat_elm returns the value of the original unscaled problem\n");
press_ret();
printf("It there are any integer type variables, then only the rows are scaled\n");
printf("set_int(lp1,3,FALSE);\n");
printf("auto_scale(lp1);\n");
set_int(lp1,3,FALSE);
auto_scale(lp1);
print_lp(lp1);
press_ret();
solve(lp1);
printf("print_solution gives the solution to the original problem\n");
print_solution(lp1);
press_ret();
printf("Scaling is turned off with unscale(lp1);\n");
unscale(lp1);
print_lp(lp1);
press_ret();
printf("Now turn B&B debugging of and simplex tracing on with\n");
printf("lp1->debug=FALSE, lp1->trace=TRUE and solve(lp1)\n");
lp1->debug=FALSE;
lp1->trace=TRUE;
press_ret();
solve(lp1);
printf("Where possible, lp_solve will start at the last found basis\n");
printf("We can reset the problem to the initial basis with\n");
printf("reset_basis(lp1). Now solve it again...\n");
press_ret();
reset_basis(lp1);
solve(lp1);
press_ret();
printf("It is possible to give variables and constraints names\n");
printf("set_row_name(lp1,1,\"speed\"); & set_col_name(lp1,2,\"money\")\n");
set_row_name(lp1,1,"speed");
set_col_name(lp1,2,"money");
print_lp(lp1);
printf("As you can see, all column and rows are assigned default names\n");
printf("If a column or constraint is deleted, the names shift place also:\n");
press_ret();
printf("del_column(lp1,1);\n");
del_column(lp1,1);
print_lp(lp1);
press_ret();
printf("A lp structure can be created and read from a .lp file\n");
printf("input_file=fopen(\"lp_examples/demo_lag.lp\",\"r\");\n");
printf("lp2 = read_lp_file(input_file, TRUE);\n");
printf("The verbose option is used\n");
input_file = fopen("lp_examples/demo_lag.lp", "r");
if (input_file == NULL)
{
printf("Can't find demo_lag.lp, stopping\n");
exit(EXIT_FAILURE);
}
lp2 = read_lp_file(input_file, TRUE, "test");
press_ret();
printf("lp2 is now:\n");
print_lp(lp2);
press_ret();
printf("solution:\n");
lp2->debug=TRUE;
solve(lp2);
lp2->debug=FALSE;
print_solution(lp2);
press_ret();
printf("You can see that branch & bound was used in this problem\n");
printf("Now remove the last constraint and use lagrangian relaxation\n");
printf("del_constraint(lp2,6);\n");
printf("str_add_lag_con(lp2, \"1 1 1 0 0 0\", LE, 2);\n");
del_constraint(lp2,6);
str_add_lag_con(lp2, "1 1 1 0 0 0", LE, 2);
print_lp(lp2);
printf("Lagrangian relaxation is used in some heuristics. It is now possible\n");
printf("to get a feasible integer soltution without usage of branch & bound.\n");
printf("Use lag_solve(lp2, 0, 40, TRUE); 0 is the initial bound, 30 the maximum\n");
printf("number of iterations, the last variable turns the verbose mode on.\n");
press_ret();
printf("%d\n",lag_solve(lp2, 0, 30, TRUE));
printf("The returncode of lag_solve is 6 or FEAS_FOUND. this means that a feasible\n");
printf("solution has been found. For a list of other possible return values\n");
printf("see \"lpkit.h\". Print this solution with print_solution\n");
print_solution(lp2);
press_ret();
return(0);
}
int main(int argc, char *argv[])
{
lprec *lp = NULL;
char *filen, *wlp = NULL, *wmps = NULL, *wfmps = NULL, plp = FALSE;
int i;
int verbose = IMPORTANT /* CRITICAL */;
int debug = -1;
MYBOOL report = FALSE;
MYBOOL nonames = FALSE, norownames = FALSE, nocolnames = FALSE;
MYBOOL write_model_after = FALSE;
MYBOOL noint = FALSE;
int print_sol = -1;
MYBOOL print_stats = FALSE;
int floor_first = -1;
MYBOOL do_set_bb_depthlimit = FALSE;
int bb_depthlimit = 0;
MYBOOL do_set_solutionlimit = FALSE;
int solutionlimit = 0;
MYBOOL break_at_first = FALSE;
int scaling = 0;
double scaleloop = 0;
MYBOOL tracing = FALSE;
short filetype = filetypeLP;
int anti_degen1 = -1;
int anti_degen2 = -1;
short print_timing = FALSE;
short parse_only = FALSE;
int do_presolve = -1;
short objective = 0;
short PRINT_SOLUTION = 2;
int improve = -1;
int pivoting1 = -1;
int pivoting2 = -1;
int bb_rule1 = -1;
int bb_rule2 = -1;
int max_num_inv = -1;
int scalemode1 = -1;
int scalemode2 = -1;
int crashmode = -1;
char *guessbasis = NULL;
/* short timeoutok = FALSE; */
long sectimeout = -1;
int result;
MYBOOL preferdual = AUTOMATIC;
int simplextype = -1;
MYBOOL do_set_obj_bound = FALSE;
REAL obj_bound = 0;
REAL mip_absgap = -1;
REAL mip_relgap = -1;
REAL epsperturb = -1;
REAL epsint = -1;
REAL epspivot = -1;
REAL epsd = -1;
REAL epsb = -1;
REAL epsel = -1;
MYBOOL do_set_break_at_value = FALSE;
REAL break_at_value = 0;
REAL accuracy_error0, accuracy_error = -1;
FILE *fpin = stdin;
char *bfp = NULL;
char *rxliname = NULL, *rxli = NULL, *rxlidata = NULL, *rxlioptions = NULL, *wxliname = NULL, *wxlisol = NULL, *wxli = NULL, *wxlioptions = NULL, *wxlisoloptions = NULL;
char *rbasname = NULL, *wbasname = NULL;
char *debugdump_before = NULL;
char *debugdump_after = NULL;
char *rparname = NULL;
char *rparoptions = NULL;
char *wparname = NULL;
char *wparoptions = NULL;
char obj_in_basis = -1;
char mps_ibm = FALSE;
char mps_negobjconst = FALSE;
char mps_free = FALSE;
MYBOOL ok;
# define SCALINGTHRESHOLD 0.03
/* read command line arguments */
# if defined FORTIFY
Fortify_EnterScope();
# endif
for(i = 1; i < argc; i++) {
ok = FALSE;
if(strncmp(argv[i], "-v", 2) == 0) {
if (argv[i][2])
verbose = atoi(argv[i] + 2);
else
verbose = NORMAL;
}
else if(strcmp(argv[i], "-d") == 0)
debug = TRUE;
else if(strcmp(argv[i], "-R") == 0)
report = TRUE;
else if(strcmp(argv[i], "-i") == 0)
print_sol = TRUE;
else if(strcmp(argv[i], "-ia") == 0)
print_sol = AUTOMATIC;
else if(strcmp(argv[i], "-stat") == 0)
print_stats = TRUE;
else if(strcmp(argv[i], "-nonames") == 0)
nonames = TRUE;
else if(strcmp(argv[i], "-norownames") == 0)
norownames = TRUE;
else if(strcmp(argv[i], "-nocolnames") == 0)
nocolnames = TRUE;
else if((strcmp(argv[i], "-c") == 0) || (strcmp(argv[i], "-cc") == 0))
floor_first = BRANCH_CEILING;
else if(strcmp(argv[i], "-cf") == 0)
floor_first = BRANCH_FLOOR;
else if(strcmp(argv[i], "-ca") == 0)
floor_first = BRANCH_AUTOMATIC;
else if((strcmp(argv[i], "-depth") == 0) && (i + 1 < argc)) {
do_set_bb_depthlimit = TRUE;
bb_depthlimit = atoi(argv[++i]);
}
else if(strcmp(argv[i], "-Bw") == 0)
or_value(&bb_rule2, NODE_WEIGHTREVERSEMODE);
else if(strcmp(argv[i], "-Bb") == 0)
or_value(&bb_rule2, NODE_BRANCHREVERSEMODE);
else if(strcmp(argv[i], "-Bg") == 0)
or_value(&bb_rule2, NODE_GREEDYMODE);
else if(strcmp(argv[i], "-Bp") == 0)
or_value(&bb_rule2, NODE_PSEUDOCOSTMODE);
else if(strcmp(argv[i], "-BR") == 0)
or_value(&bb_rule2, NODE_PSEUDORATIOSELECT);
else if(strcmp(argv[i], "-Bf") == 0)
or_value(&bb_rule2, NODE_DEPTHFIRSTMODE);
else if(strcmp(argv[i], "-Br") == 0)
or_value(&bb_rule2, NODE_RANDOMIZEMODE);
else if(strcmp(argv[i], "-BG") == 0)
or_value(&bb_rule2, 0 /* NODE_GUBMODE */); /* doesn't work yet */
else if(strcmp(argv[i], "-Bd") == 0)
or_value(&bb_rule2, NODE_DYNAMICMODE);
else if(strcmp(argv[i], "-Bs") == 0)
or_value(&bb_rule2, NODE_RESTARTMODE);
else if(strcmp(argv[i], "-BB") == 0)
or_value(&bb_rule2, NODE_BREADTHFIRSTMODE);
else if(strcmp(argv[i], "-Bo") == 0)
or_value(&bb_rule2, NODE_AUTOORDER);
else if(strcmp(argv[i], "-Bc") == 0)
or_value(&bb_rule2, NODE_RCOSTFIXING);
else if(strcmp(argv[i], "-Bi") == 0)
or_value(&bb_rule2, NODE_STRONGINIT);
else if(strncmp(argv[i], "-B", 2) == 0) {
if (argv[i][2])
set_value(&bb_rule1, atoi(argv[i] + 2));
else
set_value(&bb_rule1, NODE_FIRSTSELECT);
}
else if((strcmp(argv[i], "-n") == 0) && (i + 1 < argc)) {
do_set_solutionlimit = TRUE;
solutionlimit = atoi(argv[++i]);
}
else if((strcmp(argv[i], "-b") == 0) && (i + 1 < argc)) {
obj_bound = atof(argv[++i]);
do_set_obj_bound = TRUE;
}
else if(((strcmp(argv[i], "-g") == 0) || (strcmp(argv[i], "-ga") == 0)) && (i + 1 < argc))
mip_absgap = atof(argv[++i]);
else if((strcmp(argv[i], "-gr") == 0) && (i + 1 < argc))
mip_relgap = atof(argv[++i]);
else if((strcmp(argv[i], "-e") == 0) && (i + 1 < argc)) {
epsint = atof(argv[++i]);
if((epsint <= 0.0) || (epsint >= 0.5)) {
fprintf(stderr, "Invalid tolerance %g; 0 < epsilon < 0.5\n",
(double)epsint);
EndOfPgr(FORCED_EXIT);
}
}
else if((strcmp(argv[i], "-r") == 0) && (i + 1 < argc))
max_num_inv = atoi(argv[++i]);
else if((strcmp(argv[i], "-o") == 0) && (i + 1 < argc)) {
break_at_value = atof(argv[++i]);
do_set_break_at_value = TRUE;
}
else if(strcmp(argv[i], "-f") == 0)
break_at_first = TRUE;
else if(strcmp(argv[i], "-timeoutok") == 0)
/* timeoutok = TRUE */; /* option no longer needed, but still accepted */
else if(strcmp(argv[i], "-h") == 0) {
print_help(argv);
EndOfPgr(EXIT_SUCCESS);
}
else if(strcmp(argv[i], "-prim") == 0)
preferdual = FALSE;
else if(strcmp(argv[i], "-dual") == 0)
preferdual = TRUE;
else if(strcmp(argv[i], "-simplexpp") == 0)
simplextype = SIMPLEX_PRIMAL_PRIMAL;
else if(strcmp(argv[i], "-simplexdp") == 0)
simplextype = SIMPLEX_DUAL_PRIMAL;
else if(strcmp(argv[i], "-simplexpd") == 0)
simplextype = SIMPLEX_PRIMAL_DUAL;
else if(strcmp(argv[i], "-simplexdd") == 0)
simplextype = SIMPLEX_DUAL_DUAL;
else if(strcmp(argv[i], "-sp") == 0)
or_value(&scalemode2, SCALE_POWER2);
else if(strcmp(argv[i], "-si") == 0)
or_value(&scalemode2, SCALE_INTEGERS);
else if(strcmp(argv[i], "-se") == 0)
or_value(&scalemode2, SCALE_EQUILIBRATE);
else if(strcmp(argv[i], "-sq") == 0)
or_value(&scalemode2, SCALE_QUADRATIC);
else if(strcmp(argv[i], "-sl") == 0)
or_value(&scalemode2, SCALE_LOGARITHMIC);
else if(strcmp(argv[i], "-sd") == 0)
or_value(&scalemode2, SCALE_DYNUPDATE);
else if(strcmp(argv[i], "-sr") == 0)
or_value(&scalemode2, SCALE_ROWSONLY);
else if(strcmp(argv[i], "-sc") == 0)
or_value(&scalemode2, SCALE_COLSONLY);
else if(strncmp(argv[i], "-s", 2) == 0) {
set_value(&scalemode1, SCALE_NONE);
scaling = SCALE_MEAN;
if (argv[i][2]) {
switch (atoi(argv[i] + 2)) {
case 0:
scaling = SCALE_NONE;
break;
case 1:
set_value(&scalemode1, SCALE_GEOMETRIC);
break;
case 2:
set_value(&scalemode1, SCALE_CURTISREID);
break;
case 3:
set_value(&scalemode1, SCALE_EXTREME);
break;
case 4:
set_value(&scalemode1, SCALE_MEAN);
break;
case 5:
set_value(&scalemode1, SCALE_MEAN | SCALE_LOGARITHMIC);
break;
case 6:
set_value(&scalemode1, SCALE_RANGE);
break;
case 7:
set_value(&scalemode1, SCALE_MEAN | SCALE_QUADRATIC);
break;
}
}
else
set_value(&scalemode1, SCALE_MEAN);
if((i + 1 < argc) && (isNum(argv[i + 1])))
scaleloop = atoi(argv[++i]);
}
else if(strncmp(argv[i], "-C", 2) == 0)
crashmode = atoi(argv[i] + 2);
else if((strcmp(argv[i],"-gbas") == 0) && (i + 1 < argc))
guessbasis = argv[++i];
else if(strcmp(argv[i], "-t") == 0)
tracing = TRUE;
else if(strncmp(argv[i], "-S", 2) == 0) {
if (argv[i][2])
PRINT_SOLUTION = (short) atoi(argv[i] + 2);
else
PRINT_SOLUTION = 2;
}
else if(strncmp(argv[i], "-improve", 8) == 0) {
if (argv[i][8])
or_value(&improve, atoi(argv[i] + 8));
}
else if(strcmp(argv[i], "-pivll") == 0)
or_value(&pivoting2, PRICE_LOOPLEFT);
else if(strcmp(argv[i], "-pivla") == 0)
or_value(&pivoting2, PRICE_LOOPALTERNATE);
#if defined EnablePartialOptimization
else if(strcmp(argv[i], "-pivpc") == 0)
or_value(&pivoting2, PRICE_AUTOPARTIALCOLS);
else if(strcmp(argv[i], "-pivpr") == 0)
or_value(&pivoting2, PRICE_AUTOPARTIALROWS);
else if(strcmp(argv[i], "-pivp") == 0)
or_value(&pivoting2, PRICE_AUTOPARTIAL);
#endif
else if(strcmp(argv[i], "-pivf") == 0)
or_value(&pivoting2, PRICE_PRIMALFALLBACK);
else if(strcmp(argv[i], "-pivm") == 0)
or_value(&pivoting2, PRICE_MULTIPLE);
else if(strcmp(argv[i], "-piva") == 0)
or_value(&pivoting2, PRICE_ADAPTIVE);
else if(strcmp(argv[i], "-pivr") == 0)
or_value(&pivoting2, PRICE_RANDOMIZE);
else if(strcmp(argv[i], "-pivh") == 0)
or_value(&pivoting2, PRICE_HARRISTWOPASS);
else if(strcmp(argv[i], "-pivt") == 0)
or_value(&pivoting2, PRICE_TRUENORMINIT);
else if(strncmp(argv[i], "-piv", 4) == 0) {
if (argv[i][4])
set_value(&pivoting1, atoi(argv[i] + 4));
else
set_value(&pivoting1, PRICER_DEVEX | PRICE_ADAPTIVE);
}
#if defined PARSER_LP
else if(strcmp(argv[i],"-lp") == 0)
filetype = filetypeLP;
#endif
else if((strcmp(argv[i],"-wlp") == 0) && (i + 1 < argc))
wlp = argv[++i];
else if(strcmp(argv[i],"-plp") == 0)
plp = TRUE;
else if(strcmp(argv[i],"-mps") == 0)
filetype = filetypeMPS;
else if(strcmp(argv[i],"-mps_ibm") == 0)
mps_ibm = TRUE;
else if(strcmp(argv[i],"-mps_negobjconst") == 0)
mps_negobjconst = TRUE;
else if(strcmp(argv[i],"-mps_free") == 0)
mps_free = TRUE;
else if(strcmp(argv[i],"-fmps") == 0)
filetype = filetypeFREEMPS;
else if((strcmp(argv[i],"-wmps") == 0) && (i + 1 < argc))
wmps = argv[++i];
else if((strcmp(argv[i],"-wfmps") == 0) && (i + 1 < argc))
wfmps = argv[++i];
else if(strcmp(argv[i],"-wafter") == 0)
write_model_after = TRUE;
else if(strcmp(argv[i],"-degen") == 0)
set_value(&anti_degen1, ANTIDEGEN_DEFAULT);
else if(strcmp(argv[i],"-degenf") == 0)
or_value(&anti_degen2, ANTIDEGEN_FIXEDVARS);
else if(strcmp(argv[i],"-degenc") == 0)
or_value(&anti_degen2, ANTIDEGEN_COLUMNCHECK);
else if(strcmp(argv[i],"-degens") == 0)
or_value(&anti_degen2, ANTIDEGEN_STALLING);
else if(strcmp(argv[i],"-degenn") == 0)
or_value(&anti_degen2, ANTIDEGEN_NUMFAILURE);
else if(strcmp(argv[i],"-degenl") == 0)
or_value(&anti_degen2, ANTIDEGEN_LOSTFEAS);
else if(strcmp(argv[i],"-degeni") == 0)
or_value(&anti_degen2, ANTIDEGEN_INFEASIBLE);
else if(strcmp(argv[i],"-degend") == 0)
or_value(&anti_degen2, ANTIDEGEN_DYNAMIC);
else if(strcmp(argv[i],"-degenb") == 0)
or_value(&anti_degen2, ANTIDEGEN_DURINGBB);
else if(strcmp(argv[i],"-degenr") == 0)
or_value(&anti_degen2, ANTIDEGEN_RHSPERTURB);
else if(strcmp(argv[i],"-degenp") == 0)
or_value(&anti_degen2, ANTIDEGEN_BOUNDFLIP);
else if(strcmp(argv[i],"-time") == 0) {
if(clock() == -1)
fprintf(stderr, "CPU times not available on this machine\n");
else
print_timing = TRUE;
}
else if((strcmp(argv[i],"-bfp") == 0) && (i + 1 < argc))
bfp = argv[++i];
else if((strcmp(argv[i],"-rxli") == 0) && (i + 2 < argc)) {
rxliname = argv[++i];
rxli = argv[++i];
fpin = NULL;
filetype = filetypeXLI;
}
else if((strcmp(argv[i],"-rxlidata") == 0) && (i + 1 < argc))
rxlidata = argv[++i];
else if((strcmp(argv[i],"-rxliopt") == 0) && (i + 1 < argc))
rxlioptions = argv[++i];
else if((strcmp(argv[i],"-wxli") == 0) && (i + 2 < argc)) {
wxliname = argv[++i];
wxli = argv[++i];
}
else if((strcmp(argv[i],"-wxliopt") == 0) && (i + 1 < argc))
wxlioptions = argv[++i];
else if((strcmp(argv[i],"-wxlisol") == 0) && (i + 2 < argc)) {
wxliname = argv[++i];
wxlisol = argv[++i];
}
else if((strcmp(argv[i],"-wxlisolopt") == 0) && (i + 1 < argc))
wxlisoloptions = argv[++i];
else if((strcmp(argv[i],"-rbas") == 0) && (i + 1 < argc))
rbasname = argv[++i];
else if((strcmp(argv[i],"-wbas") == 0) && (i + 1 < argc))
wbasname = argv[++i];
else if((strcmp(argv[i],"-Db") == 0) && (i + 1 < argc))
debugdump_before = argv[++i];
else if((strcmp(argv[i],"-Da") == 0) && (i + 1 < argc))
debugdump_after = argv[++i];
else if((strcmp(argv[i],"-timeout") == 0) && (i + 1 < argc))
sectimeout = atol(argv[++i]);
else if((strcmp(argv[i],"-trej") == 0) && (i + 1 < argc))
epspivot = atof(argv[++i]);
else if((strcmp(argv[i],"-epsp") == 0) && (i + 1 < argc))
epsperturb = atof(argv[++i]);
else if((strcmp(argv[i],"-epsd") == 0) && (i + 1 < argc))
epsd = atof(argv[++i]);
else if((strcmp(argv[i],"-epsb") == 0) && (i + 1 < argc))
epsb = atof(argv[++i]);
else if((strcmp(argv[i],"-epsel") == 0) && (i + 1 < argc))
epsel = atof(argv[++i]);
else if(strcmp(argv[i],"-parse_only") == 0)
parse_only = TRUE;
else
ok = TRUE;
if(!ok)
;
else if(strcmp(argv[i],"-presolverow") == 0)
or_value(&do_presolve, PRESOLVE_ROWS);
else if(strcmp(argv[i],"-presolvecol") == 0)
or_value(&do_presolve, PRESOLVE_COLS);
else if(strcmp(argv[i],"-presolve") == 0)
or_value(&do_presolve, PRESOLVE_ROWS | PRESOLVE_COLS);
else if(strcmp(argv[i],"-presolvel") == 0)
or_value(&do_presolve, PRESOLVE_LINDEP);
else if(strcmp(argv[i],"-presolves") == 0)
or_value(&do_presolve, PRESOLVE_SOS);
else if(strcmp(argv[i],"-presolver") == 0)
or_value(&do_presolve, PRESOLVE_REDUCEMIP);
else if(strcmp(argv[i],"-presolvek") == 0)
or_value(&do_presolve, PRESOLVE_KNAPSACK);
else if(strcmp(argv[i],"-presolveq") == 0)
or_value(&do_presolve, PRESOLVE_ELIMEQ2);
else if(strcmp(argv[i],"-presolvem") == 0)
or_value(&do_presolve, PRESOLVE_MERGEROWS);
else if(strcmp(argv[i],"-presolvefd") == 0)
or_value(&do_presolve, PRESOLVE_COLFIXDUAL);
else if(strcmp(argv[i],"-presolvebnd") == 0)
or_value(&do_presolve, PRESOLVE_BOUNDS);
else if(strcmp(argv[i],"-presolved") == 0)
or_value(&do_presolve, PRESOLVE_DUALS);
else if(strcmp(argv[i],"-presolvef") == 0)
or_value(&do_presolve, PRESOLVE_IMPLIEDFREE);
else if(strcmp(argv[i],"-presolveslk") == 0)
or_value(&do_presolve, PRESOLVE_IMPLIEDSLK);
else if(strcmp(argv[i],"-presolveg") == 0)
or_value(&do_presolve, PRESOLVE_REDUCEGCD);
else if(strcmp(argv[i],"-presolveb") == 0)
or_value(&do_presolve, PRESOLVE_PROBEFIX);
else if(strcmp(argv[i],"-presolvec") == 0)
or_value(&do_presolve, PRESOLVE_PROBEREDUCE);
else if(strcmp(argv[i],"-presolverowd") == 0)
or_value(&do_presolve, PRESOLVE_ROWDOMINATE);
else if(strcmp(argv[i],"-presolvecold") == 0)
or_value(&do_presolve, PRESOLVE_COLDOMINATE);
else if(strcmp(argv[i],"-min") == 0)
objective = -1;
else if(strcmp(argv[i],"-max") == 0)
objective = 1;
else if(strcmp(argv[i],"-noint") == 0)
noint = TRUE;
else if((strcmp(argv[i],"-rpar") == 0) && (i + 1 < argc))
i++;
else if((strcmp(argv[i],"-rparopt") == 0) && (i + 1 < argc))
i++;
else if((strcmp(argv[i],"-wpar") == 0) && (i + 1 < argc))
i++;
else if((strcmp(argv[i],"-wparopt") == 0) && (i + 1 < argc))
i++;
else if(strcmp(argv[i],"-o0") == 0)
obj_in_basis = FALSE;
else if(strcmp(argv[i],"-o1") == 0)
obj_in_basis = TRUE;
else if((strcmp(argv[i], "-ac") == 0) && (i + 1 < argc))
accuracy_error = atof(argv[++i]);
else if(fpin == stdin) {
filen = argv[i];
if(*filen == '<')
filen++;
if((fpin = fopen(filen, "r")) == NULL) {
print_help(argv);
fprintf(stderr,"\nError, Unable to open input file '%s'\n",
argv[i]);
EndOfPgr(FORCED_EXIT);
}
}
else {
filen = argv[i];
if(*filen != '>') {
print_help(argv);
fprintf(stderr, "\nError, Unrecognized command line argument '%s'\n",
argv[i]);
EndOfPgr(FORCED_EXIT);
}
}
}
signal(SIGABRT,/* (void (*) OF((int))) */ SIGABRT_func);
if ((filetype != filetypeXLI) && (fpin == NULL)) {
lp = NULL;
fprintf(stderr, "Cannot combine -rxli option with -lp, -mps, -fmps.\n");
}
else {
switch(filetype) {
#if defined PARSER_LP
case filetypeLP:
lp = read_lp(fpin, verbose, NULL);
break;
#endif
case filetypeMPS:
lp = read_mps(fpin, verbose | (mps_free ? MPS_FREE : 0) | (mps_ibm ? MPS_IBM : 0) | (mps_negobjconst ? MPS_NEGOBJCONST : 0));
break;
case filetypeFREEMPS:
lp = read_freemps(fpin, verbose | (mps_ibm ? MPS_IBM : 0) | (mps_negobjconst ? MPS_NEGOBJCONST : 0));
break;
case filetypeXLI:
lp = read_XLI(rxliname, rxli, rxlidata, rxlioptions, verbose);
break;
}
}
if((fpin != NULL) && (fpin != stdin))
fclose(fpin);
if(print_timing)
print_cpu_times("Parsing input");
if(lp == NULL) {
fprintf(stderr, "Unable to read model.\n");
EndOfPgr(FORCED_EXIT);
}
for(i = 1; i < argc; i++) {
if((strcmp(argv[i],"-rpar") == 0) && (i + 1 < argc)) {
if(rparname != NULL) {
if(!read_params(lp, rparname, rparoptions)) {
fprintf(stderr, "Unable to read parameter file (%s)\n", rparname);
delete_lp(lp);
EndOfPgr(FORCED_EXIT);
}
}
rparname = argv[++i];
}
else if((strcmp(argv[i],"-rparopt") == 0) && (i + 1 < argc))
rparoptions = argv[++i];
else if((strcmp(argv[i],"-wpar") == 0) && (i + 1 < argc))
wparname = argv[++i];
else if((strcmp(argv[i],"-wparopt") == 0) && (i + 1 < argc))
wparoptions = argv[++i];
}
if(rparname != NULL)
if(!read_params(lp, rparname, rparoptions)) {
fprintf(stderr, "Unable to read parameter file (%s)\n", rparname);
delete_lp(lp);
EndOfPgr(FORCED_EXIT);
}
if((nonames) || (nocolnames))
set_use_names(lp, FALSE, FALSE);
if((nonames) || (norownames))
set_use_names(lp, TRUE, FALSE);
if(objective != 0) {
if(objective == 1)
set_maxim(lp);
else
set_minim(lp);
}
if (obj_in_basis != -1)
set_obj_in_basis(lp, obj_in_basis);
if(noint) { /* remove integer conditions */
for(i = get_Ncolumns(lp); i >= 1; i--) {
if(is_SOS_var(lp, i)) {
fprintf(stderr, "Unable to remove integer conditions because there is at least one SOS constraint\n");
delete_lp(lp);
EndOfPgr(FORCED_EXIT);
}
set_semicont(lp, i, FALSE);
set_int(lp, i, FALSE);
}
}
if(!write_model_after)
write_model(lp, plp, wlp, wmps, wfmps, wxli, NULL, wxliname, wxlioptions);
if(print_stats)
print_statistics(lp);
if(parse_only) {
if(!write_model_after) {
delete_lp(lp);
EndOfPgr(0);
}
/* else if(!sectimeout) */
sectimeout = 1;
}
if(PRINT_SOLUTION >= 5)
print_lp(lp);
#if 0
put_abortfunc(lp,(abortfunc *) myabortfunc, NULL);
#endif
if(sectimeout > 0)
set_timeout(lp, sectimeout);
if(print_sol >= 0)
set_print_sol(lp, print_sol);
if(epsint >= 0)
set_epsint(lp, epsint);
if(epspivot >= 0)
set_epspivot(lp, epspivot);
if(epsperturb >= 0)
set_epsperturb(lp, epsperturb);
if(epsd >= 0)
set_epsd(lp, epsd);
if(epsb >= 0)
set_epsb(lp, epsb);
if(epsel >= 0)
set_epsel(lp, epsel);
if(debug >= 0)
set_debug(lp, (MYBOOL) debug);
if(floor_first != -1)
set_bb_floorfirst(lp, floor_first);
if(do_set_bb_depthlimit)
set_bb_depthlimit(lp, bb_depthlimit);
if(do_set_solutionlimit)
set_solutionlimit(lp, solutionlimit);
if(tracing)
set_trace(lp, tracing);
if(do_set_obj_bound)
set_obj_bound(lp, obj_bound);
if(do_set_break_at_value)
set_break_at_value(lp, break_at_value);
if(break_at_first)
set_break_at_first(lp, break_at_first);
if(mip_absgap >= 0)
set_mip_gap(lp, TRUE, mip_absgap);
if(mip_relgap >= 0)
set_mip_gap(lp, FALSE, mip_relgap);
if((anti_degen1 != -1) || (anti_degen2 != -1)) {
if((anti_degen1 == -1) || (anti_degen2 != -1))
anti_degen1 = 0;
if(anti_degen2 == -1)
anti_degen2 = 0;
set_anti_degen(lp, anti_degen1 | anti_degen2);
}
set_presolve(lp, ((do_presolve == -1) ? get_presolve(lp): do_presolve) | ((PRINT_SOLUTION >= 4) ? PRESOLVE_SENSDUALS : 0), get_presolveloops(lp));
if(improve != -1)
set_improve(lp, improve);
if(max_num_inv >= 0)
set_maxpivot(lp, max_num_inv);
if(preferdual != AUTOMATIC)
set_preferdual(lp, preferdual);
if((pivoting1 != -1) || (pivoting2 != -1)) {
if(pivoting1 == -1)
pivoting1 = get_pivoting(lp) & PRICER_LASTOPTION;
if(pivoting2 == -1)
pivoting2 = 0;
set_pivoting(lp, pivoting1 | pivoting2);
}
if((scalemode1 != -1) || (scalemode2 != -1)) {
if(scalemode1 == -1)
scalemode1 = get_scaling(lp) & SCALE_CURTISREID;
if(scalemode2 == -1)
scalemode2 = 0;
set_scaling(lp, scalemode1 | scalemode2);
}
if(crashmode != -1)
set_basiscrash(lp, crashmode);
if((bb_rule1 != -1) || (bb_rule2 != -1)) {
if(bb_rule1 == -1)
bb_rule1 = get_bb_rule(lp) & NODE_USERSELECT;
if(bb_rule2 == -1)
bb_rule2 = 0;
set_bb_rule(lp, bb_rule1 | bb_rule2);
}
if(simplextype != -1)
set_simplextype(lp, simplextype);
if(bfp != NULL)
if(!set_BFP(lp, bfp)) {
fprintf(stderr, "Unable to set BFP package.\n");
delete_lp(lp);
EndOfPgr(FORCED_EXIT);
}
if(debugdump_before != NULL)
print_debugdump(lp, debugdump_before);
if(report)
put_msgfunc(lp, LPMessageCB, NULL, MSG_LPFEASIBLE | MSG_LPOPTIMAL | MSG_MILPFEASIBLE | MSG_MILPBETTER | MSG_PERFORMANCE);
if(scaling) {
if(scaleloop <= 0)
scaleloop = 5;
if(scaleloop - (int) scaleloop < SCALINGTHRESHOLD)
scaleloop = (int) scaleloop + SCALINGTHRESHOLD;
set_scalelimit(lp, scaleloop);
}
if (accuracy_error != -1)
set_break_numeric_accuracy(lp, accuracy_error);
if(guessbasis != NULL) {
REAL *guessvector, a;
int *basisvector;
int Nrows = get_Nrows(lp);
int Ncolumns = get_Ncolumns(lp);
int col;
char buf[50], *ptr;
FILE *fp;
if ((fp = fopen(guessbasis, "r")) != NULL) {
guessvector = (REAL *) calloc(1+Ncolumns, sizeof(*guessvector));
basisvector = (int *) malloc((1+Nrows+Ncolumns)*sizeof(*basisvector));
if ((guessvector != NULL) && (basisvector != NULL)) {
while ((!feof(fp)) && (fgets(buf, sizeof(buf), fp) != NULL)) {
ptr = strrchr(buf, ':');
if (ptr == NULL) {
printf("Mallformed line: %s\n", buf);
}
else {
a = atof(ptr + 1);
while ((ptr > buf) && (isspace(ptr[-1])))
ptr--;
*ptr = 0;
col = get_nameindex(lp, buf, FALSE);
if (col < 1)
printf("guess_basis: Unknown variable name %s\n", buf);
else
guessvector[col] = a;
}
}
if (guess_basis(lp, guessvector, basisvector)) {
if (!set_basis(lp, basisvector, TRUE))
printf("Unable to set guessed basis.\n");
}
else
printf("Unable to guess basis from provided variables.\n");
}
else
printf("guess_basis: Out of memory.\n");
if (basisvector != NULL)
free(basisvector);
if (guessvector != NULL)
free(guessvector);
fclose(fp);
}
else
printf("Unable to open file %s\n", guessbasis);
}
if(rbasname != NULL)
if(!read_basis(lp, rbasname, NULL)) {
fprintf(stderr, "Unable to read basis file.\n");
delete_lp(lp);
EndOfPgr(FORCED_EXIT);
}
result = solve(lp);
if(wbasname != NULL)
if(!write_basis(lp, wbasname))
fprintf(stderr, "Unable to write basis file.\n");
if(write_model_after)
write_model(lp, plp, wlp, wmps, wfmps, wxli, NULL, wxliname, wxlioptions);
write_model(lp, FALSE, NULL, NULL, NULL, NULL, wxlisol, wxliname, wxlisoloptions);
if(PRINT_SOLUTION >= 6)
print_scales(lp);
if((print_timing) && (!parse_only))
print_cpu_times("solving");
if(debugdump_after != NULL)
print_debugdump(lp, debugdump_after);
if(wparname != NULL)
if(!write_params(lp, wparname, wparoptions)) {
fprintf(stderr, "Unable to write parameter file (%s)\n", wparname);
delete_lp(lp);
EndOfPgr(FORCED_EXIT);
}
if(parse_only) {
delete_lp(lp);
EndOfPgr(0);
}
/*
if((timeoutok) && (result == TIMEOUT) && (get_solutioncount(lp) > 0))
result = OPTIMAL;
*/
switch(result) {
case SUBOPTIMAL:
case PRESOLVED:
case OPTIMAL:
case PROCBREAK:
case FEASFOUND:
if ((result == SUBOPTIMAL) && (PRINT_SOLUTION >= 1))
printf("Suboptimal solution\n");
if (result == PRESOLVED)
printf("Presolved solution\n");
if (PRINT_SOLUTION >= 1)
print_objective(lp);
if (PRINT_SOLUTION >= 2)
print_solution(lp, 1);
if (PRINT_SOLUTION >= 3)
print_constraints(lp, 1);
if (PRINT_SOLUTION >= 4)
print_duals(lp);
if(tracing)
fprintf(stderr,
"Branch & Bound depth: %d\nNodes processed: %.0f\nSimplex pivots: %.0f\nNumber of equal solutions: %d\n",
get_max_level(lp), (REAL) get_total_nodes(lp), (REAL) get_total_iter(lp), get_solutioncount(lp));
break;
case NOMEMORY:
if (PRINT_SOLUTION >= 1)
printf("Out of memory\n");
break;
case INFEASIBLE:
if (PRINT_SOLUTION >= 1)
printf("This problem is infeasible\n");
break;
case UNBOUNDED:
if (PRINT_SOLUTION >= 1)
printf("This problem is unbounded\n");
break;
case PROCFAIL:
if (PRINT_SOLUTION >= 1)
printf("The B&B routine failed\n");
break;
case TIMEOUT:
if (PRINT_SOLUTION >= 1)
printf("Timeout\n");
break;
case USERABORT:
if (PRINT_SOLUTION >= 1)
printf("User aborted\n");
break;
case ACCURACYERROR:
if (PRINT_SOLUTION >= 1)
printf("Accuracy error\n");
break;
default:
if (PRINT_SOLUTION >= 1)
printf("lp_solve failed\n");
break;
}
if (PRINT_SOLUTION >= 7)
print_tableau(lp);
delete_lp(lp);
EndOfPgr(result);
return(result);
}
int main ( int argv, char * argc[] )
{
# if defined ERROR
# undef ERROR
# endif
# define ERROR() { fprintf(stderr, "Error\n"); exit(1); }
lprec *lp;
int majorversion, minorversion, release, build;
#if defined FORTIFY
Fortify_EnterScope();
#endif
lp_solve_version(&majorversion, &minorversion, &release, &build);
printf("lp_solve %d.%d.%d.%d demo\n\n", majorversion, minorversion, release, build);
printf("This demo will show most of the features of lp_solve %d.%d.%d.%d\n", majorversion, minorversion, release, build);
press_ret();
printf("\nWe start by creating a new problem with 4 variables and 0 constraints\n");
printf("We use: lp=make_lp(0,4);\n");
if ((lp = make_lp(0,4)) == NULL)
ERROR();
press_ret();
printf("We can show the current problem with print_lp(lp)\n");
print_lp(lp);
press_ret();
printf("Now we add some constraints\n");
printf("add_constraint(lp, {0, 3, 2, 2, 1}, LE, 4)\n");
{
double row[] = {0, 3, 2, 2, 1};
if (!add_constraint(lp, row, LE, 4))
ERROR();
}
print_lp(lp);
press_ret();
printf("add_constraintex is now used to add a row. Only the npn-zero values must be specfied with this call.\n");
printf("add_constraintex(lp, 3, {4, 3, 1}, {2, 3, 4}, GE, 3)\n");
{
int colno[] = {2, 3, 4};
double row[] = {4, 3, 1};
if (!add_constraintex(lp, sizeof(colno) / sizeof(*colno), row, colno, GE, 3))
ERROR();
}
print_lp(lp);
press_ret();
printf("Set the objective function\n");
printf("set_obj_fn(lp, {0, 2, 3, -2, 3})\n");
{
double row[] = {0, 2, 3, -2, 3};
if (!set_obj_fn(lp, row))
ERROR();
}
print_lp(lp);
press_ret();
printf("Now solve the problem with printf(solve(lp));\n");
printf("%d",solve(lp));
press_ret();
printf("The value is 0, this means we found an optimal solution\n");
printf("We can display this solution with print_objective(lp) and print_solution(lp)\n");
print_objective(lp);
print_solution(lp, 1);
print_constraints(lp, 1);
press_ret();
printf("The dual variables of the solution are printed with\n");
printf("print_duals(lp);\n");
print_duals(lp);
press_ret();
printf("We can change a single element in the matrix with\n");
printf("set_mat(lp,2,1,0.5)\n");
if (!set_mat(lp,2,1,0.5))
ERROR();
print_lp(lp);
press_ret();
printf("If we want to maximize the objective function use set_maxim(lp);\n");
set_maxim(lp);
print_lp(lp);
press_ret();
printf("after solving this gives us:\n");
solve(lp);
print_objective(lp);
print_solution(lp, 1);
print_constraints(lp, 1);
print_duals(lp);
press_ret();
printf("Change the value of a rhs element with set_rh(lp,1,7.45)\n");
set_rh(lp,1,7.45);
print_lp(lp);
solve(lp);
print_objective(lp);
print_solution(lp, 1);
print_constraints(lp, 1);
press_ret();
printf("We change %s to the integer type with\n", get_col_name(lp, 4));
printf("set_int(lp, 4, TRUE)\n");
set_int(lp, 4, TRUE);
print_lp(lp);
printf("We set branch & bound debugging on with set_debug(lp, TRUE)\n");
set_debug(lp, TRUE);
printf("and solve...\n");
press_ret();
solve(lp);
print_objective(lp);
print_solution(lp, 1);
print_constraints(lp, 1);
press_ret();
printf("We can set bounds on the variables with\n");
printf("set_lowbo(lp,2,2); & set_upbo(lp,4,5.3)\n");
set_lowbo(lp,2,2);
set_upbo(lp,4,5.3);
print_lp(lp);
press_ret();
solve(lp);
print_objective(lp);
print_solution(lp, 1);
print_constraints(lp, 1);
press_ret();
printf("Now remove a constraint with del_constraint(lp, 1)\n");
del_constraint(lp,1);
print_lp(lp);
printf("Add an equality constraint\n");
{
double row[] = {0, 1, 2, 1, 4};
if (!add_constraint(lp, row, EQ, 8))
ERROR();
}
print_lp(lp);
press_ret();
printf("A column can be added with:\n");
printf("add_column(lp,{3, 2, 2});\n");
{
double col[] = {3, 2, 2};
if (!add_column(lp, col))
ERROR();
}
print_lp(lp);
press_ret();
printf("A column can be removed with:\n");
printf("del_column(lp,3);\n");
del_column(lp,3);
print_lp(lp);
press_ret();
printf("We can use automatic scaling with:\n");
printf("set_scaling(lp, SCALE_MEAN);\n");
set_scaling(lp, SCALE_MEAN);
print_lp(lp);
press_ret();
printf("The function get_mat(lprec *lp, int row, int column) returns a single\n");
printf("matrix element\n");
printf("%s get_mat(lp,2,3), get_mat(lp,1,1); gives\n","printf(\"%f %f\\n\",");
printf("%f %f\n", (double)get_mat(lp,2,3), (double)get_mat(lp,1,1));
printf("Notice that get_mat returns the value of the original unscaled problem\n");
press_ret();
printf("If there are any integer type variables, then only the rows are scaled\n");
printf("set_scaling(lp, SCALE_MEAN);\n");
set_scaling(lp, SCALE_MEAN);
printf("set_int(lp,3,FALSE);\n");
set_int(lp,3,FALSE);
print_lp(lp);
press_ret();
solve(lp);
printf("print_objective, print_solution gives the solution to the original problem\n");
print_objective(lp);
print_solution(lp, 1);
print_constraints(lp, 1);
press_ret();
printf("Scaling is turned off with unscale(lp);\n");
unscale(lp);
print_lp(lp);
press_ret();
printf("Now turn B&B debugging off and simplex tracing on with\n");
printf("set_debug(lp, FALSE), set_trace(lp, TRUE) and solve(lp)\n");
set_debug(lp, FALSE);
set_trace(lp, TRUE);
press_ret();
solve(lp);
printf("Where possible, lp_solve will start at the last found basis\n");
printf("We can reset the problem to the initial basis with\n");
printf("default_basis(lp). Now solve it again...\n");
press_ret();
default_basis(lp);
solve(lp);
printf("It is possible to give variables and constraints names\n");
printf("set_row_name(lp,1,\"speed\"); & set_col_name(lp,2,\"money\")\n");
if (!set_row_name(lp,1,"speed"))
ERROR();
if (!set_col_name(lp,2,"money"))
ERROR();
print_lp(lp);
printf("As you can see, all column and rows are assigned default names\n");
printf("If a column or constraint is deleted, the names shift place also:\n");
press_ret();
printf("del_column(lp,1);\n");
del_column(lp,1);
print_lp(lp);
press_ret();
write_lp(lp, "lp.lp");
delete_lp(lp);
printf("An lp structure can be created and read from a .lp file\n");
printf("lp = read_lp(\"lp.lp\", TRUE);\n");
printf("The verbose option is used\n");
if ((lp = read_LP("lp.lp", TRUE, "test")) == NULL)
ERROR();
press_ret();
printf("lp is now:\n");
print_lp(lp);
press_ret();
printf("solution:\n");
set_debug(lp, TRUE);
solve(lp);
set_debug(lp, FALSE);
print_objective(lp);
print_solution(lp, 1);
print_constraints(lp, 1);
press_ret();
delete_lp(lp);
#if defined FORTIFY
Fortify_LeaveScope();
#endif
return 0;
}