📄 lpkit.h
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lower bound (or in the basis), it is FALSE if the variable is at its upper bound */ short eta_valid; /* TRUE if current Eta structures are valid */ int eta_alloc; /* The allocated memory for Eta */ int eta_size; /* The number of Eta columns */ int num_inv; /* The number of real pivots */ int max_num_inv; /* ## The number of real pivots between reinversions */ REAL *eta_value; /* eta_alloc :The Structure containing the values of Eta */ int *eta_row_nr; /* " " :The Structure containing the Row indexes of Eta */ int *eta_col_end; /* rows_alloc + MaxNumInv : eta_col_end[i] is the start index of the next Eta column */ short bb_rule; /* what rule for selecting B&B variables */ short break_at_int; /* TRUE if stop at first integer better than break_value */ REAL break_value; REAL obj_bound; /* ## Objective function bound for speedup of B&B */ int iter; /* The number of iterations in the simplex solver (LP) */ int total_iter; /* The total number of iterations (B&B) (ILP) */ int max_level; /* The Deepest B&B level of the last solution */ int total_nodes; /* total number of nodes processed in b&b */ REAL *solution; /* sum_alloc+1 :The Solution of the last LP, 0 = The Optimal Value, 1..rows The Slacks, rows+1..sum The Variables */ REAL *best_solution; /* " " :The Best 'Integer' Solution */ REAL *duals; /* rows_alloc+1 :The dual variables of the last LP */ short maximise; /* TRUE if the goal is to maximise the objective function */ short floor_first; /* TRUE if B&B does floor bound first */ short *ch_sign; /* rows_alloc+1 :TRUE if the Row in the matrix has changed sign (a`x > b, x>=0) is translated to s + -a`x = -b with x>=0, s>=0) */ short scaling_used; /* TRUE if scaling is used */ short columns_scaled; /* TRUE is the columns are scaled too, Only use if all variables are non-integer */ REAL *scale; /* sum_alloc+1:0..Rows the scaling of the Rows, Rows+1..Sum the scaling of the columns */ int nr_lagrange; /* Nr. of Langrangian relaxation constraints */ REAL **lag_row; /* NumLagrange, columns+1:Pointer to pointer of rows */ REAL *lag_rhs; /* NumLagrange :Pointer to pointer of Rhs */ REAL *lambda; /* NumLagrange :Lambda Values */ short *lag_con_type; /* NumLagrange :TRUE if constraint type EQ */ REAL lag_bound; /* the lagrangian lower bound */ short valid; /* Has this lp pased the 'test' */ REAL infinite; /* ## numerical stuff */ REAL epsilon; /* ## */ REAL epsb; /* ## */ REAL epsd; /* ## */ REAL epsel; /* ## */ hashtable *rowname_hashtab; /* hash table to store row names */ hashtable *colname_hashtab; /* hash table to store column names */} lprec;/* function interface for the user */lprec *make_lp(int rows, int columns);/* create and initialise a lprec structure defaults: Empty (Rows * Columns) matrix, Minimise the objective function constraints all type <= Upperbounds all Infinite no integer variables floor first in B&B no scaling default basis */lprec *read_lp_file(FILE *input, short verbose, nstring lp_name);/* create and read an .lp file from input (input must be open) */void delete_lp(lprec *lp);/* Remove problem from memory */lprec *copy_lp(lprec *lp);/* copy a lp structure */void set_mat(lprec *lp, int row, int column, REAL value);/* fill in element (Row,Column) of the matrix Row in [0..Rows] and Column in [1..Columns] */void set_obj_fn(lprec *lp, REAL *row);/* set the objective function (Row 0) of the matrix */void str_set_obj_fn(lprec *lp, char *row);/* The same, but with string input */void add_constraint(lprec *lp, REAL *row, short constr_type, REAL rh);/* Add a constraint to the problem, row is the constraint row, rh is the right hand side, constr_type is the type of constraint (LE (<=), GE(>=), EQ(=)) */void str_add_constraint(lprec *lp, char *row_string ,short constr_type, REAL rh);/* The same, but with string input */void del_constraint(lprec *lp,int del_row);/* Remove constrain nr del_row from the problem */void add_lag_con(lprec *lp, REAL *row, short con_type, REAL rhs);/* add a Lagrangian constraint of form Row' x contype Rhs */void str_add_lag_con(lprec *lp, char *row, short con_type, REAL rhs);/* The same, but with string input */void add_column(lprec *lp, REAL *column);/* Add a Column to the problem */void str_add_column(lprec *lp, char *col_string);/* The same, but with string input */void del_column(lprec *lp, int column);/* Delete a column */void set_upbo(lprec *lp, int column, REAL value);/* Set the upperbound of a variable */void set_lowbo(lprec *lp, int column, REAL value);/* Set the lowerbound of a variable */void set_int(lprec *lp, int column, short must_be_int);/* Set the type of variable, if must_be_int = TRUE then the variable must be integer */void set_rh(lprec *lp, int row, REAL value);/* Set the right hand side of a constraint row */void set_rh_vec(lprec *lp, REAL *rh);/* Set the right hand side vector */void str_set_rh_vec(lprec *lp, char *rh_string);/* The same, but with string input */void set_maxim(lprec *lp);/* maximise the objective function */void set_minim(lprec *lp);/* minimise the objective function */void set_constr_type(lprec *lp, int row, short con_type);/* Set the type of constraint in row Row (LE, GE, EQ) */void set_row_name(lprec *lp, int row, nstring new_name);/* Set the name of a constraint row, make sure that the name has < 25 characters */void set_col_name(lprec *lp, int column, nstring new_name);/* Set the name of a varaible column, make sure that the name has < 25 characters */void auto_scale(lprec *lp);/* Automatic scaling of the problem */void unscale(lprec *lp);/* Remove all scaling from the problem */int solve(lprec *lp);/* Solve the problem */int lag_solve(lprec *lp, REAL start_bound, int num_iter, short verbose);/* Do NumIter iterations with Lagrangian relaxation constraints */void reset_basis(lprec *lp);/* Reset the basis of a problem, can be usefull in case of degeneracy - JD */REAL mat_elm(lprec *lp, int row, int column);/* get a single element from the matrix */void get_row(lprec *lp, int row_nr, REAL *row);/* fill row with the row row_nr from the problem */void get_column(lprec *lp, int col_nr, REAL *column);/* fill column with the column col_nr from the problem */void get_reduced_costs(lprec *lp, REAL *rc);/* get the reduced costs vector */short is_feasible(lprec *lp, REAL *values);/* returns TRUE if the vector in values is a feasible solution to the lp */short column_in_lp(lprec *lp, REAL *column);/* returns TRUE if column is already present in lp. (Does not look at bounds and types, only looks at matrix values */lprec *read_mps(FILE *input, short verbose);/* read a MPS file */void write_MPS(lprec *lp, FILE *output);/* write a MPS file to output */void write_LP(lprec *lp, FILE *output);/* write a LP file to output */void print_lp(lprec *lp);/* Print the current problem, only usefull in very small (test) problems. Shows the effect of scaling */void print_solution(lprec *lp);/* Print the solution to stdout */void print_duals(lprec *lp);/* Print the dual variables of the solution */void print_scales(lprec *lp);/* If scaling is used, print the scaling factors *//* functions used internaly by the lp toolkit */void error(char *format, ...);void inc_mat_space(lprec *lp, int max_extra);void inc_row_space(lprec *lp);void inc_col_space(lprec *lp);void unscale_columns(lprec *lp);void btran(lprec *lp, REAL *row);void invert(lprec *lp);void presolve(lprec *lp);/* define yyparse() to make compilers happy. There should be some system include file for this */int yyparse(void);#ifdef __cplusplus};#endif
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