void CLPLpsolve::getBounds(int start, int end, double* bounds, const char* lowOrUpper)
{
if (stricmp(lowOrUpper, "L") == 0)
{
//CPXgetlb(m_env, m_lp, bounds, start, end);
for(int i = start; i < end; ++i)
{
*(bounds + i - start) = get_lowbo(m_env, i + 1);
}
}
else if (stricmp(lowOrUpper, "U") == 0)
{
for(int i = start; i < end; ++i)
{
*(bounds + i - start) = get_upbo(m_env, i + 1);
}
}
else
assert(false);
}
/* A more readable lp-format report of the model; antiquated and not updated */
void REPORT_lp(lprec *lp)
{
int i, j;
if(lp->outstream == NULL)
return;
fprintf(lp->outstream, "Model name: %s\n", get_lp_name(lp));
fprintf(lp->outstream, " ");
for(j = 1; j <= lp->columns; j++)
fprintf(lp->outstream, "%8s ", get_col_name(lp,j));
fprintf(lp->outstream, "\n%simize ", (is_maxim(lp) ? "Max" : "Min"));
for(j = 1; j <= lp->columns; j++)
fprintf(lp->outstream, "%8g ", get_mat(lp, 0, j));
fprintf(lp->outstream, "\n");
for(i = 1; i <= lp->rows; i++) {
fprintf(lp->outstream, "%-9s ", get_row_name(lp, i));
for(j = 1; j <= lp->columns; j++)
fprintf(lp->outstream, "%8g ", get_mat(lp, i, j));
if(is_constr_type(lp, i, GE))
fprintf(lp->outstream, ">= ");
else if(is_constr_type(lp, i, LE))
fprintf(lp->outstream, "<= ");
else
fprintf(lp->outstream, " = ");
fprintf(lp->outstream, "%8g", get_rh(lp, i));
if(is_constr_type(lp, i, GE)) {
if(get_rh_upper(lp, i) < lp->infinite)
fprintf(lp->outstream, " %s = %8g", "upbo", get_rh_upper(lp, i));
}
else if(is_constr_type(lp, i, LE)) {
if(get_rh_lower(lp, i) > -lp->infinite)
fprintf(lp->outstream, " %s = %8g", "lowbo", get_rh_lower(lp, i));
}
fprintf(lp->outstream, "\n");
}
fprintf(lp->outstream, "Type ");
for(i = 1; i <= lp->columns; i++) {
if(is_int(lp,i))
fprintf(lp->outstream, " Int ");
else
fprintf(lp->outstream, " Real ");
}
fprintf(lp->outstream, "\nupbo ");
for(i = 1; i <= lp->columns; i++)
if(get_upbo(lp, i) >= lp->infinite)
fprintf(lp->outstream, " Inf ");
else
fprintf(lp->outstream, "%8g ", get_upbo(lp, i));
fprintf(lp->outstream, "\nlowbo ");
for(i = 1; i <= lp->columns; i++)
if(get_lowbo(lp, i) <= -lp->infinite)
fprintf(lp->outstream, " -Inf ");
else
fprintf(lp->outstream, "%8g ", get_lowbo(lp, i));
fprintf(lp->outstream, "\n");
fflush(lp->outstream);
}
MYBOOL __WINAPI write_lpex(lprec *lp, void *userhandle, write_modeldata_func write_modeldata)
{
int i, j, b,
nrows = lp->rows,
ncols = lp->columns,
nchars, maxlen = LP_MAXLINELEN;
MYBOOL ok;
REAL a;
char *ptr;
if(lp->matA->is_roworder) {
report(lp, IMPORTANT, "LP_writefile: Cannot write to LP file while in row entry mode.\n");
return(FALSE);
}
if(!mat_validate(lp->matA)) {
report(lp, IMPORTANT, "LP_writefile: Could not validate the data matrix.\n");
return(FALSE);
}
/* Write name of model */
ptr = get_lp_name(lp);
if(ptr != NULL)
if(*ptr)
write_lpcomment(userhandle, write_modeldata, ptr, FALSE);
else
ptr = NULL;
/* Write the objective function */
write_lpcomment(userhandle, write_modeldata, "Objective function", (MYBOOL) (ptr != NULL));
if(is_maxim(lp))
write_data(userhandle, write_modeldata, "max: ");
else
write_data(userhandle, write_modeldata, "min: ");
write_lprow(lp, 0, userhandle, write_modeldata, maxlen);
a = get_rh(lp, 0);
if(a != 0)
write_data(userhandle, write_modeldata, " %+.12g", a);
write_data(userhandle, write_modeldata, ";\n");
/* Write constraints */
if(nrows > 0)
write_lpcomment(userhandle, write_modeldata, "Constraints", TRUE);
for(j = 1; j <= nrows; j++) {
if(((lp->names_used) && (lp->row_name[j] != NULL)) || (write_lprow(lp, j, userhandle, NULL, maxlen) == 1))
ptr = get_row_name(lp, j);
else
ptr = NULL;
if((ptr != NULL) && (*ptr))
write_data(userhandle, write_modeldata, "%s: ", ptr);
#ifndef SingleBoundedRowInLP
/* Write the ranged part of the constraint, if specified */
if ((lp->orig_upbo[j]) && (lp->orig_upbo[j] < lp->infinite)) {
if(my_chsign(is_chsign(lp, j), lp->orig_rhs[j]) == -lp->infinite)
write_data(userhandle, write_modeldata, "-Inf %s ", (is_chsign(lp, j)) ? ">=" : "<=");
else if(my_chsign(is_chsign(lp, j), lp->orig_rhs[j]) == lp->infinite)
write_data(userhandle, write_modeldata, "+Inf %s ", (is_chsign(lp, j)) ? ">=" : "<=");
else
write_data(userhandle, write_modeldata, "%+.12g %s ",
(lp->orig_upbo[j]-lp->orig_rhs[j]) * (is_chsign(lp, j) ? 1.0 : -1.0) / (lp->scaling_used ? lp->scalars[j] : 1.0),
(is_chsign(lp, j)) ? ">=" : "<=");
}
#endif
if((!write_lprow(lp, j, userhandle, write_modeldata, maxlen)) && (ncols >= 1))
write_data(userhandle, write_modeldata, "0 %s", get_col_name(lp, 1));
if(lp->orig_upbo[j] == 0)
write_data(userhandle, write_modeldata, " =");
else if(is_chsign(lp, j))
write_data(userhandle, write_modeldata, " >=");
else
write_data(userhandle, write_modeldata, " <=");
if(fabs(get_rh(lp, j) + lp->infinite) < 1)
write_data(userhandle, write_modeldata, " -Inf;\n");
else if(fabs(get_rh(lp, j) - lp->infinite) < 1)
write_data(userhandle, write_modeldata, " +Inf;\n");
else
write_data(userhandle, write_modeldata, " %.12g;\n", get_rh(lp, j));
#ifdef SingleBoundedRowInLP
/* Write the ranged part of the constraint, if specified */
if ((lp->orig_upbo[j]) && (lp->orig_upbo[j] < lp->infinite)) {
if(((lp->names_used) && (lp->row_name[j] != NULL)) || (write_lprow(lp, j, userhandle, NULL, maxlen) == 1))
ptr = get_row_name(lp, j);
else
ptr = NULL;
if((ptr != NULL) && (*ptr))
write_data(userhandle, write_modeldata, "%s: ", ptr);
if((!write_lprow(lp, j, userhandle, write_modeldata, maxlen)) && (get_Ncolumns(lp) >= 1))
write_data(userhandle, write_modeldata, "0 %s", get_col_name(lp, 1));
write_data(userhandle, write_modeldata, " %s %g;\n",
(is_chsign(lp, j)) ? "<=" : ">=",
(lp->orig_upbo[j]-lp->orig_rhs[j]) * (is_chsign(lp, j) ? 1.0 : -1.0) / (lp->scaling_used ? lp->scalars[j] : 1.0));
}
#endif
}
/* Write bounds on variables */
ok = FALSE;
for(i = nrows + 1; i <= lp->sum; i++)
if(!is_splitvar(lp, i - nrows)) {
if(lp->orig_lowbo[i] == lp->orig_upbo[i]) {
if(!ok) {
write_lpcomment(userhandle, write_modeldata, "Variable bounds", TRUE);
ok = TRUE;
}
write_data(userhandle, write_modeldata, "%s = %.12g;\n", get_col_name(lp, i - nrows), get_upbo(lp, i - nrows));
}
else {
#ifndef SingleBoundedRowInLP
if((lp->orig_lowbo[i] != 0) && (lp->orig_upbo[i] < lp->infinite)) {
if(!ok) {
write_lpcomment(userhandle, write_modeldata, "Variable bounds", TRUE);
ok = TRUE;
}
if(lp->orig_lowbo[i] == -lp->infinite)
write_data(userhandle, write_modeldata, "-Inf");
else
write_data(userhandle, write_modeldata, "%.12g", get_lowbo(lp, i - nrows));
write_data(userhandle, write_modeldata, " <= %s <= ", get_col_name(lp, i - nrows));
if(lp->orig_lowbo[i] == lp->infinite)
write_data(userhandle, write_modeldata, "+Inf");
else
write_data(userhandle, write_modeldata, "%.12g", get_upbo(lp, i - nrows));
write_data(userhandle, write_modeldata, ";\n");
}
else
#endif
{
if(lp->orig_lowbo[i] != 0) {
if(!ok) {
write_lpcomment(userhandle, write_modeldata, "Variable bounds", TRUE);
ok = TRUE;
}
if(lp->orig_lowbo[i] == -lp->infinite)
write_data(userhandle, write_modeldata, "%s >= -Inf;\n", get_col_name(lp, i - nrows));
else if(lp->orig_lowbo[i] == lp->infinite)
write_data(userhandle, write_modeldata, "%s >= +Inf;\n", get_col_name(lp, i - nrows));
else
write_data(userhandle, write_modeldata, "%s >= %.12g;\n",
get_col_name(lp, i - nrows), get_lowbo(lp, i - nrows));
}
if(lp->orig_upbo[i] != lp->infinite) {
if(!ok) {
write_lpcomment(userhandle, write_modeldata, "Variable bounds", TRUE);
ok = TRUE;
}
write_data(userhandle, write_modeldata, "%s <= %.12g;\n",
get_col_name(lp, i - nrows), get_upbo(lp, i - nrows));
}
}
}
}
/* Write optional integer section */
if(lp->int_vars > 0) {
write_lpcomment(userhandle, write_modeldata, "Integer definitions", TRUE);
i = 1;
while((i <= ncols) && !is_int(lp, i))
i++;
if(i <= ncols) {
nchars = write_data(userhandle, write_modeldata, "int %s", get_col_name(lp, i));
i++;
for(; i <= ncols; i++)
if((!is_splitvar(lp, i)) && (is_int(lp, i))) {
if((maxlen!= 0) && (nchars > maxlen)) {
write_data(userhandle, write_modeldata, "%s", "\n");
nchars = 0;
}
write_data(userhandle, write_modeldata, ",%s", get_col_name(lp, i));
}
write_data(userhandle, write_modeldata, ";\n");
}
}
/* Write optional SEC section */
if(lp->sc_vars > 0) {
write_lpcomment(userhandle, write_modeldata, "Semi-continuous variables", TRUE);
i = 1;
while((i <= ncols) && !is_semicont(lp, i))
i++;
if(i <= ncols) {
nchars = write_data(userhandle, write_modeldata, "sec %s", get_col_name(lp, i));
i++;
for(; i <= ncols; i++)
if((!is_splitvar(lp, i)) && (is_semicont(lp, i))) {
if((maxlen != 0) && (nchars > maxlen)) {
write_data(userhandle, write_modeldata, "%s", "\n");
nchars = 0;
}
nchars += write_data(userhandle, write_modeldata, ",%s", get_col_name(lp, i));
}
write_data(userhandle, write_modeldata, ";\n");
}
}
/* Write optional SOS section */
if(SOS_count(lp) > 0) {
SOSgroup *SOS = lp->SOS;
write_lpcomment(userhandle, write_modeldata, "SOS definitions", TRUE);
write_data(userhandle, write_modeldata, "SOS\n");
for(b = 0, i = 0; i < SOS->sos_count; b = SOS->sos_list[i]->priority, i++) {
nchars = write_data(userhandle, write_modeldata, "%s: ",
(SOS->sos_list[i]->name == NULL) ||
(*SOS->sos_list[i]->name==0) ? "SOS" : SOS->sos_list[i]->name); /* formatnumber12((double) lp->sos_list[i]->priority) */
for(a = 0.0, j = 1; j <= SOS->sos_list[i]->size; a = SOS->sos_list[i]->weights[j], j++) {
if((maxlen != 0) && (nchars > maxlen)) {
write_data(userhandle, write_modeldata, "%s", "\n");
nchars = 0;
}
if(SOS->sos_list[i]->weights[j] == ++a)
nchars += write_data(userhandle, write_modeldata, "%s%s",
(j > 1) ? "," : "",
get_col_name(lp, SOS->sos_list[i]->members[j]));
else
nchars += write_data(userhandle, write_modeldata, "%s%s:%.12g",
(j > 1) ? "," : "",
get_col_name(lp, SOS->sos_list[i]->members[j]),
SOS->sos_list[i]->weights[j]);
}
if(SOS->sos_list[i]->priority == ++b)
nchars += write_data(userhandle, write_modeldata, " <= %d;\n", SOS->sos_list[i]->type);
else
nchars += write_data(userhandle, write_modeldata, " <= %d:%d;\n", SOS->sos_list[i]->type, SOS->sos_list[i]->priority);
}
}
ok = TRUE;
return(ok);
}
MYBOOL __WINAPI guess_basis(lprec *lp, REAL *guessvector, int *basisvector)
{
MYBOOL *isnz = NULL, status = FALSE;
REAL *values = NULL, *violation = NULL,
eps = lp->epsprimal,
*value, error, upB, loB, sortorder = -1.0;
int i, j, jj, n, *rownr, *colnr, *slkpos = NULL,
nrows = lp->rows, ncols = lp->columns, nsum = lp->sum;
int *basisnr;
MATrec *mat = lp->matA;
if(!mat_validate(mat))
return( status );
/* Create helper arrays, providing for multiple use of the violation array */
if(!allocREAL(lp, &values, nsum+1, TRUE) ||
!allocREAL(lp, &violation, nsum+1, TRUE))
goto Finish;
/* Compute the values of the constraints for the given guess vector */
i = 0;
n = get_nonzeros(lp);
rownr = &COL_MAT_ROWNR(i);
colnr = &COL_MAT_COLNR(i);
value = &COL_MAT_VALUE(i);
for(; i < n; i++, rownr += matRowColStep, colnr += matRowColStep, value += matValueStep)
values[*rownr] += unscaled_mat(lp, my_chsign(is_chsign(lp, *rownr), *value), *rownr, *colnr) *
guessvector[*colnr];
MEMMOVE(values+nrows+1, guessvector+1, ncols);
/* Initialize bound "violation" or primal non-degeneracy measures, expressed
as the absolute value of the differences from the closest bound. */
for(i = 1; i <= nsum; i++) {
if(i <= nrows) {
loB = get_rh_lower(lp, i);
upB = get_rh_upper(lp, i);
}
else {
loB = get_lowbo(lp, i-nrows);
upB = get_upbo(lp, i-nrows);
}
/* Free constraints/variables */
if(my_infinite(lp, loB) && my_infinite(lp, upB))
error = 0;
/* Violated constraints/variable bounds */
else if(values[i]+eps < loB)
error = loB-values[i];
else if(values[i]-eps > upB)
error = values[i]-upB;
/* Non-violated constraints/variables bounds */
else if(my_infinite(lp, upB))
error = MAX(0, values[i]-loB);
else if(my_infinite(lp, loB))
error = MAX(0, upB-values[i]);
else
error = MIN(upB-values[i], values[i]-loB); /* MAX(upB-values[i], values[i]-loB); */
if(error != 0)
violation[i] = sortorder*error;
basisvector[i] = i;
}
/* Sort decending , meaning that variables with the largest
"violations" will be designated basic. Effectively, we are performing a
greedy type algorithm, but start at the "least interesting" end. */
sortByREAL(basisvector, violation, nsum, 1, FALSE);
error = violation[1]; /* Used for setting the return value */
/* Let us check for obvious row singularities and try to fix these.
Note that we reuse the memory allocated to the violation array.
First assemble necessary basis statistics... */
slkpos = (int *) violation;
n = nrows+1;
MEMCLEAR(slkpos, n);
isnz = (MYBOOL *) (slkpos+n+1);
MEMCLEAR(isnz, n);
for(i = 1; i <= nrows; i++) {
j = abs(basisvector[i]);
if(j <= nrows) {
isnz[j] = TRUE;
slkpos[j] = i;
}
else {
j-= nrows;
jj = mat->col_end[j-1];
jj = COL_MAT_ROWNR(jj);
isnz[jj] = TRUE;
}
}
for(; i <= nsum; i++) {
j = abs(basisvector[i]);
if(j <= nrows)
slkpos[j] = i;
}
/* ...then set the corresponding slacks basic for row rank deficient positions */
for(j = 1; j <= nrows; j++) {
if(slkpos[j] == 0)
report(lp, SEVERE, "guess_basis: Internal error");
if(!isnz[j]) {
isnz[j] = TRUE;
i = slkpos[j];
swapINT(&basisvector[i], &basisvector[j]);
basisvector[j] = abs(basisvector[j]);
}
}
/* Adjust the non-basic indeces for the (proximal) bound state */
for(i = nrows+1, basisnr = basisvector+i; i <= nsum; i++, basisnr++) {
n = *basisnr;
if(n <= nrows) {
values[n] -= get_rh_lower(lp, n);
if(values[n] <= eps)
*basisnr = -(*basisnr);
}
else
if(values[n]-eps <= get_lowbo(lp, n-nrows))
*basisnr = -(*basisnr);
}
/* Lastly normalize all basic variables to be coded as lower-bounded,
or effectively zero-based in the case of free variables. */
for(i = 1; i <= nrows; i++)
basisvector[i] = -abs(basisvector[i]);
/* Clean up and return status */
status = (MYBOOL) (error <= eps);
Finish:
FREE(values);
FREE(violation);
return( status );
}
MYBOOL __WINAPI guess_basis(lprec *lp, REAL *guessvector, int *basisvector)
{
MYBOOL *isnz, status = FALSE;
REAL *values = NULL, *violation = NULL,
eps = lp->epsprimal,
*value, error, upB, loB, sortorder = 1.0;
int i, j, jj, n, *rownr, *colnr, *slkpos,
nrows = lp->rows, ncols = lp->columns;
MATrec *mat = lp->matA;
if(!mat_validate(mat))
return( status );
/* Create helper arrays */
if(!allocREAL(lp, &values, lp->sum+1, TRUE) ||
!allocREAL(lp, &violation, lp->sum+1, TRUE))
goto Finish;
/* Compute values of slack variables for given guess vector */
i = 0;
n = get_nonzeros(lp);
rownr = &COL_MAT_ROWNR(i);
colnr = &COL_MAT_COLNR(i);
value = &COL_MAT_VALUE(i);
for(; i < n; i++, rownr += matRowColStep, colnr += matRowColStep, value += matValueStep)
values[*rownr] += unscaled_mat(lp, my_chsign(is_chsign(lp, *rownr), *value), *rownr, *colnr) *
guessvector[*colnr];
MEMMOVE(values+nrows+1, guessvector+1, ncols);
/* Initialize constraint bound violation measures (expressed as positive values) */
for(i = 1; i <= nrows; i++) {
upB = get_rh_upper(lp, i);
loB = get_rh_lower(lp, i);
error = values[i] - upB;
if(error > -eps)
violation[i] = sortorder*MAX(0,error);
else {
error = loB - values[i];
if(error > -eps)
violation[i] = sortorder*MAX(0,error);
else if(my_infinite(lp, loB) && my_infinite(lp, upB))
;
else if(my_infinite(lp, upB))
violation[i] = sortorder*(loB - values[i]);
else if(my_infinite(lp, loB))
violation[i] = sortorder*(values[i] - upB);
else
violation[i] = -sortorder*MAX(upB - values[i], values[i] - loB);
}
basisvector[i] = i;
}
/* Initialize user variable bound violation measures (expressed as positive values) */
for(i = 1; i <= ncols; i++) {
n = nrows+i;
upB = get_upbo(lp, i);
loB = get_lowbo(lp, i);
error = guessvector[i] - upB;
if(error > -eps)
violation[n] = sortorder*MAX(0,error);
else {
error = loB - values[n];
if(error > -eps)
violation[n] = sortorder*MAX(0,error);
else if(my_infinite(lp, loB) && my_infinite(lp, upB))
;
else if(my_infinite(lp, upB))
violation[n] = sortorder*(loB - values[n]);
else if(my_infinite(lp, loB))
violation[n] = sortorder*(values[n] - upB);
else
violation[n] = -sortorder*MAX(upB - values[n], values[n] - loB);
}
basisvector[n] = n;
}
/* Sort decending by violation; this means that variables with
the largest violations will be designated as basic */
sortByREAL(basisvector, violation, lp->sum, 1, FALSE);
error = violation[1];
/* Adjust the non-basic indeces for the (proximal) bound state */
for(i = nrows+1, rownr = basisvector+i; i <= lp->sum; i++, rownr++) {
if(*rownr <= nrows) {
values[*rownr] -= lp->orig_rhs[*rownr];
if(values[*rownr] <= eps)
*rownr = -(*rownr);
}
else
if(values[i] <= get_lowbo(lp, (*rownr)-nrows)+eps)
*rownr = -(*rownr);
}
/* Let us check for obvious row singularities and try to fix these;
First assemble necessary basis statistics... */
isnz = (MYBOOL *) values;
MEMCLEAR(isnz, nrows+1);
slkpos = (int *) violation;
MEMCLEAR(slkpos, nrows+1);
for(i = 1; i <= nrows; i++) {
j = abs(basisvector[i]);
if(j <= nrows) {
isnz[j] = TRUE;
slkpos[j] = i;
}
else {
j-= nrows;
jj = mat->col_end[j-1];
isnz[COL_MAT_ROWNR(jj)] = TRUE;
/* if(++jj < mat->col_end[j])
isnz[COL_MAT_ROWNR(jj)] = TRUE; */
}
}
for(; i <= lp->sum; i++) {
j = abs(basisvector[i]);
if(j <= nrows)
slkpos[j] = i;
}
/* ...then set the corresponding slacks basic for row rank deficient positions */
for(j = 1; j <= nrows; j++) {
#ifdef Paranoia
if(slkpos[j] == 0)
report(lp, SEVERE, "guess_basis: Internal error");
#endif
if(!isnz[j]) {
isnz[j] = TRUE;
i = slkpos[j];
swapINT(&basisvector[i], &basisvector[j]);
basisvector[j] = abs(basisvector[j]);
}
}
/* Lastly normalize all basic variables to be coded as lower-bounded */
for(i = 1; i <= nrows; i++)
basisvector[i] = -abs(basisvector[i]);
/* Clean up and return status */
status = (MYBOOL) (error <= eps);
Finish:
FREE(values);
FREE(violation);
return( status );
}
MYBOOL __WINAPI guess_basis(lprec *lp, REAL *guessvector, int *basisvector)
{
MYBOOL status = FALSE;
REAL *values = NULL, *violation = NULL,
*value, error, upB, loB, sortorder = 1.0;
int i, n, *rownr, *colnr;
MATrec *mat = lp->matA;
if(!mat_validate(lp->matA))
return( status );
/* Create helper arrays */
if(!allocREAL(lp, &values, lp->sum+1, TRUE) ||
!allocREAL(lp, &violation, lp->sum+1, TRUE))
goto Finish;
/* Compute values of slack variables for given guess vector */
i = 0;
n = get_nonzeros(lp);
rownr = &COL_MAT_ROWNR(i);
colnr = &COL_MAT_COLNR(i);
value = &COL_MAT_VALUE(i);
for(; i < n; i++, rownr += matRowColStep, colnr += matRowColStep, value += matValueStep)
values[*rownr] += unscaled_mat(lp, my_chsign(is_chsign(lp, *rownr), *value), *rownr, *colnr) *
guessvector[*colnr];
MEMMOVE(values+lp->rows+1, guessvector+1, lp->columns);
/* Initialize constraint bound violation measures */
for(i = 1; i <= lp->rows; i++) {
upB = get_rh_upper(lp, i);
loB = get_rh_lower(lp, i);
error = values[i] - upB;
if(error > lp->epsprimal)
violation[i] = sortorder*error;
else {
error = loB - values[i];
if(error > lp->epsprimal)
violation[i] = sortorder*error;
else if(is_infinite(lp, loB) && is_infinite(lp, upB))
;
else if(is_infinite(lp, upB))
violation[i] = sortorder*(loB - values[i]);
else if(is_infinite(lp, loB))
violation[i] = sortorder*(values[i] - upB);
else
violation[i] = - sortorder*MAX(upB - values[i], values[i] - loB);
}
basisvector[i] = i;
}
/* Initialize user variable bound violation measures */
for(i = 1; i <= lp->columns; i++) {
n = lp->rows+i;
upB = get_upbo(lp, i);
loB = get_lowbo(lp, i);
error = guessvector[i] - upB;
if(error > lp->epsprimal)
violation[n] = sortorder*error;
else {
error = loB - values[n];
if(error > lp->epsprimal)
violation[n] = sortorder*error;
else if(is_infinite(lp, loB) && is_infinite(lp, upB))
;
else if(is_infinite(lp, upB))
violation[n] = sortorder*(loB - values[n]);
else if(is_infinite(lp, loB))
violation[n] = sortorder*(values[n] - upB);
else
violation[n] = - sortorder*MAX(upB - values[n], values[n] - loB);
}
basisvector[n] = n;
}
/* Sort decending by violation; this means that variables with
the largest violations will be designated as basic */
sortByREAL(basisvector, violation, lp->sum, 1, FALSE);
/* Adjust the non-basic indeces for the (proximal) bound state */
error = lp->epsprimal;
for(i = lp->rows+1, rownr = basisvector+i; i <= lp->sum; i++, rownr++) {
if(*rownr <= lp->rows) {
if(values[*rownr] <= get_rh_lower(lp, *rownr)+error)
*rownr = -(*rownr);
}
else
if(values[i] <= get_lowbo(lp, (*rownr)-lp->rows)+error)
*rownr = -(*rownr);
}
/* Clean up and return status */
status = (MYBOOL) (violation[1] == 0);
Finish:
FREE(values);
FREE(violation);
return( status );
}
