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// -*- c++ -*-
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#ifndef HUGO_LP_SOLVER_WRAPPER_H
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#define HUGO_LP_SOLVER_WRAPPER
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///\ingroup misc
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///\file
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///\brief Dijkstra algorithm.
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// #include <stdio.h>
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#include <stdlib.h>
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// #include <stdio>
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//#include <stdlib>
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#include "glpk.h"
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#include <iostream>
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#include <vector>
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#include <string>
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#include <list>
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#include <memory>
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#include <utility>
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//#include <sage_graph.h>
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//#include <hugo/list_graph.h>
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//#include <hugo/graph_wrapper.h>
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#include <hugo/invalid.h>
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//#include <bfs_dfs.h>
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//#include <stp.h>
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//#include <hugo/max_flow.h>
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//#include <augmenting_flow.h>
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//#include <iter_map.h>
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using std::cout;
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using std::cin;
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using std::endl;
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namespace hugo {
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/// \addtogroup misc
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/// @{
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/// \brief A partitioned vector with iterable classes.
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///
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/// This class implements a container in which the data is stored in an
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/// stl vector, the range is partitioned into sets and each set is
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/// doubly linked in a list.
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/// That is, each class is iterable by hugo iterators, and any member of
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/// the vector can bo moved to an other class.
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template <typename T>
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class IterablePartition {
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protected:
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struct Node {
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T data;
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int prev; //invalid az -1
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int next;
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};
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std::vector<Node> nodes;
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struct Tip {
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int first;
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int last;
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};
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std::vector<Tip> tips;
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public:
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/// The classes are indexed by integers from \c 0 to \c classNum()-1.
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int classNum() const { return tips.size(); }
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/// This hugo style iterator iterates through a class.
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class ClassIt;
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/// Constructor. The number of classes is to be given which is fixed
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/// over the life of the container.
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/// The partition classes are indexed from 0 to class_num-1.
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IterablePartition(int class_num) {
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for (int i=0; i<class_num; ++i) {
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Tip t;
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t.first=t.last=-1;
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tips.push_back(t);
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}
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}
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protected:
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void befuz(ClassIt it, int class_id) {
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if (tips[class_id].first==-1) {
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if (tips[class_id].last==-1) {
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nodes[it.i].prev=nodes[it.i].next=-1;
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tips[class_id].first=tips[class_id].last=it.i;
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}
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} else {
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nodes[it.i].prev=tips[class_id].last;
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nodes[it.i].next=-1;
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nodes[tips[class_id].last].next=it.i;
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tips[class_id].last=it.i;
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}
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}
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void kifuz(ClassIt it, int class_id) {
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if (tips[class_id].first==it.i) {
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if (tips[class_id].last==it.i) {
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tips[class_id].first=tips[class_id].last=-1;
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} else {
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tips[class_id].first=nodes[it.i].next;
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nodes[nodes[it.i].next].prev=-1;
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}
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} else {
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if (tips[class_id].last==it.i) {
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tips[class_id].last=nodes[it.i].prev;
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nodes[nodes[it.i].prev].next=-1;
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} else {
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nodes[nodes[it.i].next].prev=nodes[it.i].prev;
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nodes[nodes[it.i].prev].next=nodes[it.i].next;
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}
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}
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}
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public:
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/// A new element with data \c t is pushed into the vector and into class
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/// \c class_id.
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ClassIt push_back(const T& t, int class_id) {
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Node n;
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n.data=t;
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nodes.push_back(n);
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int i=nodes.size()-1;
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befuz(i, class_id);
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return i;
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}
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/// A member is moved to an other class.
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void set(ClassIt it, int old_class_id, int new_class_id) {
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kifuz(it.i, old_class_id);
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befuz(it.i, new_class_id);
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}
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/// Returns the data pointed by \c it.
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T& operator[](ClassIt it) { return nodes[it.i].data; }
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/// Returns the data pointed by \c it.
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const T& operator[](ClassIt it) const { return nodes[it.i].data; }
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///.
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class ClassIt {
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friend class IterablePartition;
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protected:
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int i;
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public:
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/// Default constructor.
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ClassIt() { }
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/// This constructor constructs an iterator which points
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/// to the member of th container indexed by the integer _i.
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ClassIt(const int& _i) : i(_i) { }
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/// Invalid constructor.
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ClassIt(const Invalid&) : i(-1) { }
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};
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/// First member of class \c class_id.
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ClassIt& first(ClassIt& it, int class_id) const {
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it.i=tips[class_id].first;
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return it;
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}
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/// Next member.
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ClassIt& next(ClassIt& it) const {
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it.i=nodes[it.i].next;
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return it;
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}
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/// True iff the iterator is valid.
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bool valid(const ClassIt& it) const { return it.i!=-1; }
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};
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/// \brief Wrappers for LP solvers
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///
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/// This class implements a hugo wrapper for glpk.
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/// Later other LP-solvers will be wrapped into hugo.
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/// The aim of this class is to give a general surface to different
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/// solvers, i.e. it makes possible to write algorithms using LP's,
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/// in which the solver can be changed to an other one easily.
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class LPSolverWrapper {
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public:
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// class Row {
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// protected:
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// int i;
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// public:
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// Row() { }
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// Row(const Invalid&) : i(0) { }
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// Row(const int& _i) : i(_i) { }
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// operator int() const { return i; }
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// };
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// class RowIt : public Row {
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// public:
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// RowIt(const Row& row) : Row(row) { }
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// };
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// class Col {
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// protected:
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// int i;
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// public:
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// Col() { }
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// Col(const Invalid&) : i(0) { }
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// Col(const int& _i) : i(_i) { }
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// operator int() const { return i; }
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// };
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// class ColIt : public Col {
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// ColIt(const Col& col) : Col(col) { }
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// };
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public:
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///.
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LPX* lp;
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///.
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typedef IterablePartition<int>::ClassIt RowIt;
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///.
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IterablePartition<int> row_iter_map;
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///.
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typedef IterablePartition<int>::ClassIt ColIt;
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///.
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IterablePartition<int> col_iter_map;
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//std::vector<int> row_id_to_lp_row_id;
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//std::vector<int> col_id_to_lp_col_id;
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///.
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const int VALID_ID;
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///.
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const int INVALID_ID;
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public:
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///.
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LPSolverWrapper() : lp(lpx_create_prob()),
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row_iter_map(2),
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col_iter_map(2),
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//row_id_to_lp_row_id(), col_id_to_lp_col_id(),
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VALID_ID(0), INVALID_ID(1) {
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lpx_set_int_parm(lp, LPX_K_DUAL, 1);
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}
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///.
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~LPSolverWrapper() {
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lpx_delete_prob(lp);
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}
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///.
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void setMinimize() {
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lpx_set_obj_dir(lp, LPX_MIN);
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}
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///.
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void setMaximize() {
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lpx_set_obj_dir(lp, LPX_MAX);
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}
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///.
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ColIt addCol() {
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int i=lpx_add_cols(lp, 1);
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ColIt col_it;
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col_iter_map.first(col_it, INVALID_ID);
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if (col_iter_map.valid(col_it)) { //van hasznalhato hely
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col_iter_map.set(col_it, INVALID_ID, VALID_ID);
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col_iter_map[col_it]=i;
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//col_id_to_lp_col_id[col_iter_map[col_it]]=i;
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} else { //a cucc vegere kell inzertalni mert nincs szabad hely
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//col_id_to_lp_col_id.push_back(i);
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//int j=col_id_to_lp_col_id.size()-1;
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col_it=col_iter_map.push_back(i, VALID_ID);
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}
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// edge_index_map.set(e, i);
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// lpx_set_col_bnds(lp, i, LPX_DB, 0.0, 1.0);
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// lpx_set_obj_coef(lp, i, cost[e]);
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return col_it;
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}
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///.
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RowIt addRow() {
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int i=lpx_add_rows(lp, 1);
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RowIt row_it;
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row_iter_map.first(row_it, INVALID_ID);
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if (row_iter_map.valid(row_it)) { //van hasznalhato hely
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row_iter_map.set(row_it, INVALID_ID, VALID_ID);
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row_iter_map[row_it]=i;
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} else { //a cucc vegere kell inzertalni mert nincs szabad hely
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row_it=row_iter_map.push_back(i, VALID_ID);
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}
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return row_it;
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}
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//pair<RowIt, double>-bol kell megadni egy std range-et
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///.
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template <typename Begin, typename End>
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void setColCoeffs(const ColIt& col_it,
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Begin begin, End end) {
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int mem_length=1+lpx_get_num_rows(lp);
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int* indices = new int[mem_length];
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double* doubles = new double[mem_length];
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int length=0;
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for ( ; begin!=end; ++begin) {
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++length;
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indices[length]=row_iter_map[begin->first];
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doubles[length]=begin->second;
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}
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lpx_set_mat_col(lp, col_iter_map[col_it], length, indices, doubles);
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delete [] indices;
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delete [] doubles;
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}
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//pair<ColIt, double>-bol kell megadni egy std range-et
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///.
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template <typename Begin, typename End>
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void setRowCoeffs(const RowIt& row_it,
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Begin begin, End end) {
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289 |
int mem_length=1+lpx_get_num_cols(lp);
|
marci@764
|
290 |
int* indices = new int[mem_length];
|
marci@764
|
291 |
double* doubles = new double[mem_length];
|
marci@764
|
292 |
int length=0;
|
marci@764
|
293 |
for ( ; begin!=end; ++begin) {
|
marci@764
|
294 |
++length;
|
marci@764
|
295 |
indices[length]=col_iter_map[begin->first];
|
marci@764
|
296 |
doubles[length]=begin->second;
|
marci@764
|
297 |
}
|
marci@764
|
298 |
lpx_set_mat_row(lp, row_iter_map[row_it], length, indices, doubles);
|
marci@764
|
299 |
delete [] indices;
|
marci@764
|
300 |
delete [] doubles;
|
marci@764
|
301 |
}
|
alpar@765
|
302 |
///.
|
marci@764
|
303 |
void eraseCol(const ColIt& col_it) {
|
marci@764
|
304 |
col_iter_map.set(col_it, VALID_ID, INVALID_ID);
|
marci@764
|
305 |
int cols[2];
|
marci@764
|
306 |
cols[1]=col_iter_map[col_it];
|
marci@764
|
307 |
lpx_del_cols(lp, 1, cols);
|
marci@764
|
308 |
col_iter_map[col_it]=0; //glpk specifikus
|
marci@764
|
309 |
ColIt it;
|
marci@764
|
310 |
for (col_iter_map.first(it, VALID_ID);
|
marci@764
|
311 |
col_iter_map.valid(it); col_iter_map.next(it)) {
|
marci@764
|
312 |
if (col_iter_map[it]>cols[1]) --col_iter_map[it];
|
marci@764
|
313 |
}
|
marci@764
|
314 |
}
|
alpar@765
|
315 |
///.
|
marci@764
|
316 |
void eraseRow(const RowIt& row_it) {
|
marci@764
|
317 |
row_iter_map.set(row_it, VALID_ID, INVALID_ID);
|
marci@764
|
318 |
int rows[2];
|
marci@764
|
319 |
rows[1]=row_iter_map[row_it];
|
marci@764
|
320 |
lpx_del_rows(lp, 1, rows);
|
marci@764
|
321 |
row_iter_map[row_it]=0; //glpk specifikus
|
marci@764
|
322 |
RowIt it;
|
marci@764
|
323 |
for (row_iter_map.first(it, VALID_ID);
|
marci@764
|
324 |
row_iter_map.valid(it); row_iter_map.next(it)) {
|
marci@764
|
325 |
if (row_iter_map[it]>rows[1]) --row_iter_map[it];
|
marci@764
|
326 |
}
|
marci@764
|
327 |
}
|
alpar@765
|
328 |
///.
|
marci@764
|
329 |
void setColBounds(const ColIt& col_it, int bound_type,
|
marci@764
|
330 |
double lo, double up) {
|
marci@764
|
331 |
lpx_set_col_bnds(lp, col_iter_map[col_it], bound_type, lo, up);
|
marci@764
|
332 |
}
|
alpar@765
|
333 |
///.
|
marci@768
|
334 |
double getObjCoef(const ColIt& col_it) {
|
marci@768
|
335 |
return lpx_get_obj_coef(lp, col_iter_map[col_it]);
|
marci@764
|
336 |
}
|
alpar@765
|
337 |
///.
|
marci@764
|
338 |
void setRowBounds(const RowIt& row_it, int bound_type,
|
marci@764
|
339 |
double lo, double up) {
|
marci@764
|
340 |
lpx_set_row_bnds(lp, row_iter_map[row_it], bound_type, lo, up);
|
marci@764
|
341 |
}
|
marci@764
|
342 |
// void setObjCoef(const RowIt& row_it, double obj_coef) {
|
marci@764
|
343 |
// lpx_set_obj_coef(lp, row_iter_map[row_it], obj_coef);
|
marci@764
|
344 |
// }
|
alpar@765
|
345 |
///.
|
marci@764
|
346 |
void solveSimplex() { lpx_simplex(lp); }
|
alpar@765
|
347 |
///.
|
marci@764
|
348 |
void solvePrimalSimplex() { lpx_simplex(lp); }
|
alpar@765
|
349 |
///.
|
marci@764
|
350 |
void solveDualSimplex() { lpx_simplex(lp); }
|
alpar@765
|
351 |
///.
|
marci@764
|
352 |
double getPrimal(const ColIt& col_it) {
|
marci@764
|
353 |
return lpx_get_col_prim(lp, col_iter_map[col_it]);
|
marci@764
|
354 |
}
|
alpar@765
|
355 |
///.
|
marci@764
|
356 |
double getObjVal() { return lpx_get_obj_val(lp); }
|
alpar@765
|
357 |
///.
|
marci@764
|
358 |
int rowNum() const { return lpx_get_num_rows(lp); }
|
alpar@765
|
359 |
///.
|
marci@764
|
360 |
int colNum() const { return lpx_get_num_cols(lp); }
|
alpar@765
|
361 |
///.
|
marci@764
|
362 |
int warmUp() { return lpx_warm_up(lp); }
|
alpar@765
|
363 |
///.
|
marci@764
|
364 |
void printWarmUpStatus(int i) {
|
marci@764
|
365 |
switch (i) {
|
marci@764
|
366 |
case LPX_E_OK: cout << "LPX_E_OK" << endl; break;
|
marci@764
|
367 |
case LPX_E_EMPTY: cout << "LPX_E_EMPTY" << endl; break;
|
marci@764
|
368 |
case LPX_E_BADB: cout << "LPX_E_BADB" << endl; break;
|
marci@764
|
369 |
case LPX_E_SING: cout << "LPX_E_SING" << endl; break;
|
marci@764
|
370 |
}
|
marci@764
|
371 |
}
|
alpar@765
|
372 |
///.
|
marci@764
|
373 |
int getPrimalStatus() { return lpx_get_prim_stat(lp); }
|
alpar@765
|
374 |
///.
|
marci@764
|
375 |
void printPrimalStatus(int i) {
|
marci@764
|
376 |
switch (i) {
|
marci@764
|
377 |
case LPX_P_UNDEF: cout << "LPX_P_UNDEF" << endl; break;
|
marci@764
|
378 |
case LPX_P_FEAS: cout << "LPX_P_FEAS" << endl; break;
|
marci@764
|
379 |
case LPX_P_INFEAS: cout << "LPX_P_INFEAS" << endl; break;
|
marci@764
|
380 |
case LPX_P_NOFEAS: cout << "LPX_P_NOFEAS" << endl; break;
|
marci@764
|
381 |
}
|
marci@764
|
382 |
}
|
alpar@765
|
383 |
///.
|
marci@764
|
384 |
int getDualStatus() { return lpx_get_dual_stat(lp); }
|
alpar@765
|
385 |
///.
|
marci@764
|
386 |
void printDualStatus(int i) {
|
marci@764
|
387 |
switch (i) {
|
marci@764
|
388 |
case LPX_D_UNDEF: cout << "LPX_D_UNDEF" << endl; break;
|
marci@764
|
389 |
case LPX_D_FEAS: cout << "LPX_D_FEAS" << endl; break;
|
marci@764
|
390 |
case LPX_D_INFEAS: cout << "LPX_D_INFEAS" << endl; break;
|
marci@764
|
391 |
case LPX_D_NOFEAS: cout << "LPX_D_NOFEAS" << endl; break;
|
marci@764
|
392 |
}
|
marci@764
|
393 |
}
|
marci@764
|
394 |
/// Returns the status of the slack variable assigned to row \c row_it.
|
marci@764
|
395 |
int getRowStat(const RowIt& row_it) {
|
marci@764
|
396 |
return lpx_get_row_stat(lp, row_iter_map[row_it]);
|
marci@764
|
397 |
}
|
alpar@765
|
398 |
///.
|
marci@764
|
399 |
void printRowStatus(int i) {
|
marci@764
|
400 |
switch (i) {
|
marci@764
|
401 |
case LPX_BS: cout << "LPX_BS" << endl; break;
|
marci@764
|
402 |
case LPX_NL: cout << "LPX_NL" << endl; break;
|
marci@764
|
403 |
case LPX_NU: cout << "LPX_NU" << endl; break;
|
marci@764
|
404 |
case LPX_NF: cout << "LPX_NF" << endl; break;
|
marci@764
|
405 |
case LPX_NS: cout << "LPX_NS" << endl; break;
|
marci@764
|
406 |
}
|
marci@764
|
407 |
}
|
marci@764
|
408 |
/// Returns the status of the variable assigned to column \c col_it.
|
marci@764
|
409 |
int getColStat(const ColIt& col_it) {
|
marci@764
|
410 |
return lpx_get_col_stat(lp, col_iter_map[col_it]);
|
marci@764
|
411 |
}
|
alpar@765
|
412 |
///.
|
marci@764
|
413 |
void printColStatus(int i) {
|
marci@764
|
414 |
switch (i) {
|
marci@764
|
415 |
case LPX_BS: cout << "LPX_BS" << endl; break;
|
marci@764
|
416 |
case LPX_NL: cout << "LPX_NL" << endl; break;
|
marci@764
|
417 |
case LPX_NU: cout << "LPX_NU" << endl; break;
|
marci@764
|
418 |
case LPX_NF: cout << "LPX_NF" << endl; break;
|
marci@764
|
419 |
case LPX_NS: cout << "LPX_NS" << endl; break;
|
marci@764
|
420 |
}
|
marci@764
|
421 |
}
|
marci@764
|
422 |
};
|
alpar@765
|
423 |
|
alpar@765
|
424 |
/// @}
|
marci@764
|
425 |
|
marci@764
|
426 |
} //namespace hugo
|
marci@764
|
427 |
|
marci@764
|
428 |
#endif //HUGO_LP_SOLVER_WRAPPER_H
|