Files
ortools-clone/examples/dotnet/csharp-netfx/partition.cs
2018-07-05 17:51:49 -07:00

131 lines
3.2 KiB
C#

//
// Copyright 2012 Hakan Kjellerstrand
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
using System;
using System.Collections;
using System.IO;
using System.Text.RegularExpressions;
using Google.OrTools.ConstraintSolver;
public class Partition
{
/**
*
* This is a port of Charles Prud'homme's Java model
* Partition.java
* """
* Partition n numbers into two groups, so that
* - the sum of the first group equals the sum of the second,
* - and the sum of the squares of the first group equals the sum of
* the squares of the second
* """
*
*/
private static void Solve(int m)
{
Solver solver = new Solver("Partition");
//
// Decision variables
//
IntVar[] x = solver.MakeIntVarArray(m, 1, 2 * m, "x");
IntVar[] y = solver.MakeIntVarArray(m, 1, 2 * m, "y");
//
// Constraints
//
// break symmetries
for (int i = 0; i < m - 1; i++) {
solver.Add(x[i] < x[i + 1]);
solver.Add(y[i] < y[i + 1]);
}
solver.Add(x[0] < y[0]);
IntVar[] xy = new IntVar[2 * m];
for (int i = m - 1; i >= 0; i--) {
xy[i] = x[i];
xy[m + i] = y[i];
}
solver.Add(xy.AllDifferent());
int[] coeffs = new int[2 * m];
for (int i = m - 1; i >= 0; i--) {
coeffs[i] = 1;
coeffs[m + i] = -1;
}
solver.Add(xy.ScalProd(coeffs) == 0);
IntVar[] sxy, sx, sy;
sxy = new IntVar[2 * m];
sx = new IntVar[m];
sy = new IntVar[m];
for (int i = m - 1; i >= 0; i--) {
sx[i] = x[i].Square().Var();
sxy[i] = sx[i];
sy[i] = y[i].Square().Var();
sxy[m + i] = sy[i];
}
solver.Add(sxy.ScalProd(coeffs) == 0);
solver.Add(x.Sum() == 2 * m * (2 * m + 1) / 4);
solver.Add(y.Sum() == 2 * m * (2 * m + 1) / 4);
solver.Add(sx.Sum() == 2 * m * (2 * m + 1) * (4 * m + 1) / 12);
solver.Add(sy.Sum() == 2 * m * (2 * m + 1) * (4 * m + 1) / 12);
//
// Search
//
DecisionBuilder db = solver.MakeDefaultPhase(xy);
SearchMonitor log = solver.MakeSearchLog(10000);
solver.NewSearch(db, log);
while (solver.NextSolution()) {
for(int i = 0; i < m; i++) {
Console.Write("[" + xy[i].Value() + "] ");
}
Console.WriteLine();
for(int i = 0; i < m; i++) {
Console.Write("[" + xy[m+i].Value() + "] ");
}
Console.WriteLine("\n");
}
Console.WriteLine("\nSolutions: {0}", solver.Solutions());
Console.WriteLine("WallTime: {0}ms", solver.WallTime());
Console.WriteLine("Failures: {0}", solver.Failures());
Console.WriteLine("Branches: {0} ", solver.Branches());
solver.EndSearch();
}
public static void Main(String[] args)
{
int m = 32;
if (args.Length > 0) {
m = Convert.ToInt32(args[0]);
}
Solve(m);
}
}