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ApproxMinWeightVC.cpp
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//
// algorithm - some algorithms in "Introduction to Algorithms", third edition
// Copyright (C) 2018 lxylxy123456
//
// This program is free software: you can redistribute it and/or modify
// it under the terms of the GNU Affero General Public License as
// published by the Free Software Foundation, either version 3 of the
// License, or (at your option) any later version.
//
// This program is distributed in the hope that it will be useful,
// but WITHOUT ANY WARRANTY; without even the implied warranty of
// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
// GNU Affero General Public License for more details.
//
// You should have received a copy of the GNU Affero General Public License
// along with this program. If not, see <https://www.gnu.org/licenses/>.
//
#ifndef MAIN
#define MAIN
#define MAIN_ApproxMinWeightVC
#endif
#ifndef FUNC_ApproxMinWeightVC
#define FUNC_ApproxMinWeightVC
#include "utils.h"
#include "Graph.cpp"
#include "Simplex.cpp"
template <typename GT, typename T, typename WT>
void ApproxMinWeightVC(GT& G, umap<T, WT>& w, uset<T>& C) {
umap<size_t, umap<size_t, WT>> A;
umap<size_t, WT> b, c;
for (auto i = G.V.begin(); i != G.V.end(); i++)
c[*i + 1] = -w[*i];
const size_t n = G.V.size();
size_t e = n + 1;
for (auto i = G.all_edges(); !i.end(); i++, e++) {
for (auto j = G.V.begin(); j != G.V.end(); j++)
A[e][*j + 1] = 0;
A[e][i.s() + 1] = -1;
A[e][i.d() + 1] = -1;
b[e] = -1;
}
for (auto i = G.V.begin(); i != G.V.end(); i++, e++) {
for (auto j = G.V.begin(); j != G.V.end(); j++)
A[e][*j + 1] = 0;
A[e][*i + 1] = 1;
b[e] = 1;
}
umap<size_t, WT> x = Simplex(A, b, c);
for (auto i = G.V.begin(); i != G.V.end(); i++)
if (x[*i + 1] >= (WT) 1 / (WT) 2)
C.insert(*i);
}
#endif
#ifdef MAIN_ApproxMinWeightVC
int main(int argc, char *argv[]) {
const size_t v = get_argv(argc, argv, 1, 10);
const size_t e = get_argv(argc, argv, 2, 20);
const bool dir = 0;
GraphAdjList<size_t> G(dir);
random_graph(G, v, e);
uset<size_t> ans;
std::vector<int> weight;
random_integers(weight, 1, v, v);
using WT = double;
umap<size_t, WT> w;
for (size_t i = 0; i < v; i++)
w[i] = weight[i];
ApproxMinWeightVC(G, w, ans);
auto f1 = [w, ans](size_t v) mutable {
std::cout << " [label=" << w[v];
if (ans.find(v) != ans.end())
std::cout << " color=green";
std::cout << "]";
return true;
};
auto f2 = [](Edge<size_t>) mutable {};
graphviz(G, f1, f2);
return 0;
}
#endif