static char *row_name(struct csa *csa, int i, char rname[255+1])
{ /* construct symbolic name of i-th row (constraint) */
const char *name;
if (i == 0)
name = glp_get_obj_name(csa->P);
else
name = glp_get_row_name(csa->P, i);
if (name == NULL) goto fake;
strcpy(rname, name);
adjust_name(rname);
if (check_name(rname)) goto fake;
return rname;
fake: if (i == 0)
strcpy(rname, "obj");
else
sprintf(rname, "r_%d", i);
return rname;
}
static void
update_quality (struct GAS_MLP_Handle *mlp, struct ATS_Address * address)
{
GNUNET_log (GNUNET_ERROR_TYPE_DEBUG, "Updating quality metrics for peer `%s'\n",
GNUNET_i2s (&address->peer));
GNUNET_assert (NULL != address);
GNUNET_assert (NULL != address->mlp_information);
GNUNET_assert (NULL != address->ats);
struct MLP_information *mlpi = address->mlp_information;
struct GNUNET_ATS_Information *ats = address->ats;
GNUNET_assert (mlpi != NULL);
int c;
for (c = 0; c < GNUNET_ATS_QualityPropertiesCount; c++)
{
int index = mlp_lookup_ats(address, mlp->q[c]);
if (index == GNUNET_SYSERR)
continue;
GNUNET_log (GNUNET_ERROR_TYPE_DEBUG, "Updating address for peer `%s' value `%s': %f\n",
GNUNET_i2s (&address->peer),
mlp_ats_to_string(mlp->q[c]),
(double) ats[index].value);
int i = mlpi->q_avg_i[c];
double * qp = mlpi->q[c];
qp[i] = (double) ats[index].value;
int t;
for (t = 0; t < MLP_AVERAGING_QUEUE_LENGTH; t++)
{
GNUNET_log (GNUNET_ERROR_TYPE_DEBUG, "Peer `%s': `%s' queue[%u]: %f\n",
GNUNET_i2s (&address->peer),
mlp_ats_to_string(mlp->q[c]),
t,
qp[t]);
}
if (mlpi->q_avg_i[c] + 1 < (MLP_AVERAGING_QUEUE_LENGTH))
mlpi->q_avg_i[c] ++;
else
mlpi->q_avg_i[c] = 0;
int c2;
int c3;
double avg = 0.0;
switch (mlp->q[c])
{
case GNUNET_ATS_QUALITY_NET_DELAY:
c3 = 0;
for (c2 = 0; c2 < MLP_AVERAGING_QUEUE_LENGTH; c2++)
{
if (mlpi->q[c][c2] != -1)
{
double * t2 = mlpi->q[c] ;
avg += t2[c2];
c3 ++;
}
}
if ((c3 > 0) && (avg > 0))
/* avg = 1 / ((q[0] + ... + q[l]) /c3) => c3 / avg*/
mlpi->q_averaged[c] = (double) c3 / avg;
else
mlpi->q_averaged[c] = 0.0;
GNUNET_log (GNUNET_ERROR_TYPE_DEBUG, "Peer `%s': `%s' average sum: %f, average: %f, weight: %f\n",
GNUNET_i2s (&address->peer),
mlp_ats_to_string(mlp->q[c]),
avg,
avg / (double) c3,
mlpi->q_averaged[c]);
break;
case GNUNET_ATS_QUALITY_NET_DISTANCE:
c3 = 0;
for (c2 = 0; c2 < MLP_AVERAGING_QUEUE_LENGTH; c2++)
{
if (mlpi->q[c][c2] != -1)
{
double * t2 = mlpi->q[c] ;
avg += t2[c2];
c3 ++;
}
}
if ((c3 > 0) && (avg > 0))
/* avg = 1 / ((q[0] + ... + q[l]) /c3) => c3 / avg*/
mlpi->q_averaged[c] = (double) c3 / avg;
else
mlpi->q_averaged[c] = 0.0;
GNUNET_log (GNUNET_ERROR_TYPE_DEBUG, "Peer `%s': `%s' average sum: %f, average: %f, weight: %f\n",
GNUNET_i2s (&address->peer),
mlp_ats_to_string(mlp->q[c]),
avg,
avg / (double) c3,
mlpi->q_averaged[c]);
break;
default:
break;
}
if ((mlpi->c_b != 0) && (mlpi->r_q[c] != 0))
{
/* Get current number of columns */
int found = GNUNET_NO;
int cols = glp_get_num_cols(mlp->prob);
int *ind = GNUNET_malloc (cols * sizeof (int) + 1);
double *val = GNUNET_malloc (cols * sizeof (double) + 1);
/* Get the matrix row of quality */
int length = glp_get_mat_row(mlp->prob, mlp->r_q[c], ind, val);
GNUNET_log (GNUNET_ERROR_TYPE_DEBUG, "cols %i, length %i c_b %i\n", cols, length, mlpi->c_b);
int c4;
/* Get the index if matrix row of quality */
for (c4 = 1; c4 <= length; c4++ )
{
if (mlpi->c_b == ind[c4])
{
/* Update the value */
GNUNET_log (GNUNET_ERROR_TYPE_DEBUG, "Updating quality `%s' column `%s' row `%s' : %f -> %f\n",
mlp_ats_to_string(mlp->q[c]),
glp_get_col_name (mlp->prob, ind[c4]),
glp_get_row_name (mlp->prob, mlp->r_q[c]),
val[c4],
mlpi->q_averaged[c]);
val[c4] = mlpi->q_averaged[c];
found = GNUNET_YES;
break;
}
}
if (found == GNUNET_NO)
{
ind[length+1] = mlpi->c_b;
val[length+1] = mlpi->q_averaged[c];
GNUNET_log (GNUNET_ERROR_TYPE_DEBUG, "%i ind[%i] val[%i]: %i %f\n", length+1, length+1, length+1, mlpi->c_b, mlpi->q_averaged[c]);
glp_set_mat_row (mlp->prob, mlpi->r_q[c], length+1, ind, val);
}
else
{
/* Get the index if matrix row of quality */
glp_set_mat_row (mlp->prob, mlpi->r_q[c], length, ind, val);
}
GNUNET_free (ind);
GNUNET_free (val);
}
}
}
int glp_print_ranges(glp_prob *P, int len, const int list[],
int flags, const char *fname)
{ /* print sensitivity analysis report */
glp_file *fp = NULL;
GLPROW *row;
GLPCOL *col;
int m, n, pass, k, t, numb, type, stat, var1, var2, count, page,
ret;
double lb, ub, slack, coef, prim, dual, value1, value2, coef1,
coef2, obj1, obj2;
const char *name, *limit;
char buf[13+1];
/* sanity checks */
if (P == NULL || P->magic != GLP_PROB_MAGIC)
xerror("glp_print_ranges: P = %p; invalid problem object\n",
P);
m = P->m, n = P->n;
if (len < 0)
xerror("glp_print_ranges: len = %d; invalid list length\n",
len);
if (len > 0)
{ if (list == NULL)
xerror("glp_print_ranges: list = %p: invalid parameter\n",
list);
for (t = 1; t <= len; t++)
{ k = list[t];
if (!(1 <= k && k <= m+n))
xerror("glp_print_ranges: list[%d] = %d; row/column numb"
"er out of range\n", t, k);
}
}
if (flags != 0)
xerror("glp_print_ranges: flags = %d; invalid parameter\n",
flags);
if (fname == NULL)
xerror("glp_print_ranges: fname = %p; invalid parameter\n",
fname);
if (glp_get_status(P) != GLP_OPT)
{ xprintf("glp_print_ranges: optimal basic solution required\n");
ret = 1;
goto done;
}
if (!glp_bf_exists(P))
{ xprintf("glp_print_ranges: basis factorization required\n");
ret = 2;
goto done;
}
/* start reporting */
xprintf("Write sensitivity analysis report to '%s'...\n", fname);
fp = glp_open(fname, "w");
if (fp == NULL)
{ xprintf("Unable to create '%s' - %s\n", fname, get_err_msg());
ret = 3;
goto done;
}
page = count = 0;
for (pass = 1; pass <= 2; pass++)
for (t = 1; t <= (len == 0 ? m+n : len); t++)
{ if (t == 1) count = 0;
k = (len == 0 ? t : list[t]);
if (pass == 1 && k > m || pass == 2 && k <= m)
continue;
if (count == 0)
{ xfprintf(fp, "GLPK %-4s - SENSITIVITY ANALYSIS REPORT%73sPa"
"ge%4d\n", glp_version(), "", ++page);
xfprintf(fp, "\n");
xfprintf(fp, "%-12s%s\n", "Problem:",
P->name == NULL ? "" : P->name);
xfprintf(fp, "%-12s%s%s%.10g (%s)\n", "Objective:",
P->obj == NULL ? "" : P->obj,
P->obj == NULL ? "" : " = ", P->obj_val,
P->dir == GLP_MIN ? "MINimum" :
P->dir == GLP_MAX ? "MAXimum" : "???");
xfprintf(fp, "\n");
xfprintf(fp, "%6s %-12s %2s %13s %13s %13s %13s %13s %13s "
"%s\n", "No.", pass == 1 ? "Row name" : "Column name",
"St", "Activity", pass == 1 ? "Slack" : "Obj coef",
"Lower bound", "Activity", "Obj coef", "Obj value at",
"Limiting");
xfprintf(fp, "%6s %-12s %2s %13s %13s %13s %13s %13s %13s "
"%s\n", "", "", "", "", "Marginal", "Upper bound",
"range", "range", "break point", "variable");
xfprintf(fp, "------ ------------ -- ------------- --------"
"----- ------------- ------------- ------------- ------"
"------- ------------\n");
}
if (pass == 1)
{ numb = k;
xassert(1 <= numb && numb <= m);
row = P->row[numb];
name = row->name;
type = row->type;
lb = glp_get_row_lb(P, numb);
ub = glp_get_row_ub(P, numb);
coef = 0.0;
stat = row->stat;
prim = row->prim;
if (type == GLP_FR)
slack = - prim;
else if (type == GLP_LO)
slack = lb - prim;
else if (type == GLP_UP || type == GLP_DB || type == GLP_FX)
slack = ub - prim;
dual = row->dual;
}
else
{ numb = k - m;
xassert(1 <= numb && numb <= n);
col = P->col[numb];
name = col->name;
lb = glp_get_col_lb(P, numb);
ub = glp_get_col_ub(P, numb);
coef = col->coef;
stat = col->stat;
prim = col->prim;
slack = 0.0;
dual = col->dual;
}
if (stat != GLP_BS)
{ glp_analyze_bound(P, k, &value1, &var1, &value2, &var2);
if (stat == GLP_NF)
coef1 = coef2 = coef;
else if (stat == GLP_NS)
coef1 = -DBL_MAX, coef2 = +DBL_MAX;
else if (stat == GLP_NL && P->dir == GLP_MIN ||
stat == GLP_NU && P->dir == GLP_MAX)
coef1 = coef - dual, coef2 = +DBL_MAX;
else
coef1 = -DBL_MAX, coef2 = coef - dual;
if (value1 == -DBL_MAX)
{ if (dual < -1e-9)
obj1 = +DBL_MAX;
else if (dual > +1e-9)
obj1 = -DBL_MAX;
else
obj1 = P->obj_val;
}
else
obj1 = P->obj_val + dual * (value1 - prim);
if (value2 == +DBL_MAX)
{ if (dual < -1e-9)
obj2 = -DBL_MAX;
else if (dual > +1e-9)
obj2 = +DBL_MAX;
else
obj2 = P->obj_val;
}
else
obj2 = P->obj_val + dual * (value2 - prim);
}
else
{ glp_analyze_coef(P, k, &coef1, &var1, &value1, &coef2,
&var2, &value2);
if (coef1 == -DBL_MAX)
{ if (prim < -1e-9)
obj1 = +DBL_MAX;
else if (prim > +1e-9)
obj1 = -DBL_MAX;
else
obj1 = P->obj_val;
}
else
obj1 = P->obj_val + (coef1 - coef) * prim;
if (coef2 == +DBL_MAX)
{ if (prim < -1e-9)
obj2 = -DBL_MAX;
else if (prim > +1e-9)
obj2 = +DBL_MAX;
else
obj2 = P->obj_val;
}
else
obj2 = P->obj_val + (coef2 - coef) * prim;
}
/*** first line ***/
/* row/column number */
xfprintf(fp, "%6d", numb);
/* row/column name */
xfprintf(fp, " %-12.12s", name == NULL ? "" : name);
if (name != NULL && strlen(name) > 12)
xfprintf(fp, "%s\n%6s %12s", name+12, "", "");
/* row/column status */
xfprintf(fp, " %2s",
stat == GLP_BS ? "BS" : stat == GLP_NL ? "NL" :
stat == GLP_NU ? "NU" : stat == GLP_NF ? "NF" :
stat == GLP_NS ? "NS" : "??");
/* row/column activity */
xfprintf(fp, " %s", format(buf, prim));
/* row slack, column objective coefficient */
xfprintf(fp, " %s", format(buf, k <= m ? slack : coef));
/* row/column lower bound */
xfprintf(fp, " %s", format(buf, lb));
/* row/column activity range */
xfprintf(fp, " %s", format(buf, value1));
/* row/column objective coefficient range */
xfprintf(fp, " %s", format(buf, coef1));
/* objective value at break point */
xfprintf(fp, " %s", format(buf, obj1));
/* limiting variable name */
if (var1 != 0)
{ if (var1 <= m)
limit = glp_get_row_name(P, var1);
else
limit = glp_get_col_name(P, var1 - m);
if (limit != NULL)
xfprintf(fp, " %s", limit);
}
xfprintf(fp, "\n");
/*** second line ***/
xfprintf(fp, "%6s %-12s %2s %13s", "", "", "", "");
/* row/column reduced cost */
xfprintf(fp, " %s", format(buf, dual));
/* row/column upper bound */
xfprintf(fp, " %s", format(buf, ub));
/* row/column activity range */
xfprintf(fp, " %s", format(buf, value2));
/* row/column objective coefficient range */
xfprintf(fp, " %s", format(buf, coef2));
/* objective value at break point */
xfprintf(fp, " %s", format(buf, obj2));
/* limiting variable name */
if (var2 != 0)
{ if (var2 <= m)
limit = glp_get_row_name(P, var2);
else
limit = glp_get_col_name(P, var2 - m);
if (limit != NULL)
xfprintf(fp, " %s", limit);
}
xfprintf(fp, "\n");
xfprintf(fp, "\n");
/* print 10 items per page */
count = (count + 1) % 10;
}
xfprintf(fp, "End of report\n");
#if 0 /* FIXME */
xfflush(fp);
#endif
if (glp_ioerr(fp))
{ xprintf("Write error on '%s' - %s\n", fname, get_err_msg());
ret = 4;
goto done;
}
ret = 0;
done:
if (fp != NULL) glp_close(fp);
return ret;
}
const char *lpx_get_row_name(LPX *lp, int i)
{ /* retrieve row name */
return glp_get_row_name(lp, i);
}
const char *c_glp_get_row_name (glp_prob *lp, int i){
return glp_get_row_name (lp, i);
}
// retrieve all missing values of LP/MILP
void Rglpk_retrieve_MP_from_file (char **file, int *type,
int *lp_n_constraints,
int *lp_n_objective_vars,
double *lp_objective_coefficients,
int *lp_constraint_matrix_i,
int *lp_constraint_matrix_j,
double *lp_constraint_matrix_values,
int *lp_direction_of_constraints,
double *lp_right_hand_side,
double *lp_left_hand_side,
int *lp_objective_var_is_integer,
int *lp_objective_var_is_binary,
int *lp_bounds_type,
double *lp_bounds_lower,
double *lp_bounds_upper,
int *lp_ignore_first_row,
int *lp_verbosity,
char **lp_constraint_names,
char **lp_objective_vars_names
) {
extern glp_prob *lp;
glp_tran *tran;
const char *str;
int i, j, lp_column_kind, tmp;
int ind_offset, status;
// Turn on/off Terminal Output
if (*lp_verbosity==1)
glp_term_out(GLP_ON);
else
glp_term_out(GLP_OFF);
// create problem object
if (lp)
glp_delete_prob(lp);
lp = glp_create_prob();
// read file -> gets stored as an GLPK problem object 'lp'
// which file type do we have?
switch (*type){
case 1:
// Fixed (ancient) MPS Format, param argument currently NULL
status = glp_read_mps(lp, GLP_MPS_DECK, NULL, *file);
break;
case 2:
// Free (modern) MPS format, param argument currently NULL
status = glp_read_mps(lp, GLP_MPS_FILE, NULL, *file);
break;
case 3:
// CPLEX LP Format
status = glp_read_lp(lp, NULL, *file);
break;
case 4:
// MATHPROG Format (based on lpx_read_model function)
tran = glp_mpl_alloc_wksp();
status = glp_mpl_read_model(tran, *file, 0);
if (!status) {
status = glp_mpl_generate(tran, NULL);
if (!status) {
glp_mpl_build_prob(tran, lp);
}
}
glp_mpl_free_wksp(tran);
break;
}
// if file read successfully glp_read_* returns zero
if ( status != 0 ) {
glp_delete_prob(lp);
lp = NULL;
error("Reading file %c failed.", *file);
}
if(*lp_verbosity==1)
Rprintf("Retrieve column specific data ...\n");
if(glp_get_num_cols(lp) != *lp_n_objective_vars) {
glp_delete_prob(lp);
lp = NULL;
error("The number of columns is not as specified");
}
// retrieve column specific data (values, bounds and type)
for (i = 0; i < *lp_n_objective_vars; i++) {
lp_objective_coefficients[i] = glp_get_obj_coef(lp, i+1);
// Note that str must not be freed befor we have returned
// from the .C call in R!
str = glp_get_col_name(lp, i+1);
if (str){
lp_objective_vars_names[i] = (char *) str;
}
lp_bounds_type[i] = glp_get_col_type(lp, i+1);
lp_bounds_lower[i] = glp_get_col_lb (lp, i+1);
lp_bounds_upper[i] = glp_get_col_ub (lp, i+1);
lp_column_kind = glp_get_col_kind(lp, i+1);
// set to TRUE if objective variable is integer or binary
switch (lp_column_kind){
case GLP_IV:
lp_objective_var_is_integer[i] = 1;
break;
case GLP_BV:
lp_objective_var_is_binary[i] = 1;
break;
}
}
ind_offset = 0;
if(*lp_verbosity==1)
Rprintf("Retrieve row specific data ...\n");
if(glp_get_num_rows(lp) != *lp_n_constraints) {
glp_delete_prob(lp);
lp = NULL;
error("The number of rows is not as specified");
}
// retrieve row specific data (right hand side, direction of constraints)
for (i = *lp_ignore_first_row; i < *lp_n_constraints; i++) {
lp_direction_of_constraints[i] = glp_get_row_type(lp, i+1);
str = glp_get_row_name(lp, i + 1);
if (str) {
lp_constraint_names[i] = (char *) str;
}
// the right hand side. Note we don't allow for double bounded or
// free auxiliary variables
if( lp_direction_of_constraints[i] == GLP_LO )
lp_right_hand_side[i] = glp_get_row_lb(lp, i+1);
if( lp_direction_of_constraints[i] == GLP_UP )
lp_right_hand_side[i] = glp_get_row_ub(lp, i+1);
if( lp_direction_of_constraints[i] == GLP_FX )
lp_right_hand_side[i] = glp_get_row_lb(lp, i+1);
if( lp_direction_of_constraints[i] == GLP_DB ){
lp_right_hand_side[i] = glp_get_row_ub(lp, i+1);
lp_left_hand_side[i] = glp_get_row_lb(lp, i+1);
}
tmp = glp_get_mat_row(lp, i+1, &lp_constraint_matrix_j[ind_offset-1],
&lp_constraint_matrix_values[ind_offset-1]);
if (tmp > 0)
for (j = 0; j < tmp; j++)
lp_constraint_matrix_i[ind_offset+j] = i+1;
ind_offset += tmp;
}
if(*lp_verbosity==1)
Rprintf("Done.\n");
}
