Try our new documentation site (beta).


sudoku_cs.cs


/* Copyright 2024, Gurobi Optimization, LLC */

/*
  Sudoku example.

  The Sudoku board is a 9x9 grid, which is further divided into a 3x3 grid
  of 3x3 grids.  Each cell in the grid must take a value from 0 to 9.
  No two grid cells in the same row, column, or 3x3 subgrid may take the
  same value.

  In the MIP formulation, binary variables x[i,j,v] indicate whether
  cell <i,j> takes value 'v'.  The constraints are as follows:
    1. Each cell must take exactly one value (sum_v x[i,j,v] = 1)
    2. Each value is used exactly once per row (sum_i x[i,j,v] = 1)
    3. Each value is used exactly once per column (sum_j x[i,j,v] = 1)
    4. Each value is used exactly once per 3x3 subgrid (sum_grid x[i,j,v] = 1)

  Input datasets for this example can be found in examples/data/sudoku*.
*/

using System;
using System.IO;
using Gurobi;

class sudoku_cs
{
  static void Main(string[] args)
  {
    int n = 9;
    int s = 3;

    if (args.Length < 1) {
      Console.Out.WriteLine("Usage: sudoku_cs filename");
      return;
    }

    try {
      GRBEnv env = new GRBEnv();
      GRBModel model = new GRBModel(env);

      // Create 3-D array of model variables

      GRBVar[,,] vars = new GRBVar[n,n,n];

      for (int i = 0; i < n; i++) {
        for (int j = 0; j < n; j++) {
          for (int v = 0; v < n; v++) {
            string st = "G_" + i.ToString() + "_" + j.ToString()
                             + "_" + v.ToString();
            vars[i,j,v] = model.AddVar(0.0, 1.0, 0.0, GRB.BINARY, st);
          }
        }
      }

      // Add constraints

      GRBLinExpr expr;

      // Each cell must take one value

      for (int i = 0; i < n; i++) {
        for (int j = 0; j < n; j++) {
          expr = 0.0;
          for (int v = 0; v < n; v++)
            expr.AddTerm(1.0, vars[i,j,v]);
          string st = "V_" + i.ToString() + "_" + j.ToString();
          model.AddConstr(expr == 1.0, st);
        }
      }

      // Each value appears once per row

      for (int i = 0; i < n; i++) {
        for (int v = 0; v < n; v++) {
          expr = 0.0;
          for (int j = 0; j < n; j++)
            expr.AddTerm(1.0, vars[i,j,v]);
          string st = "R_" + i.ToString() + "_" + v.ToString();
          model.AddConstr(expr == 1.0, st);
        }
      }

      // Each value appears once per column

      for (int j = 0; j < n; j++) {
        for (int v = 0; v < n; v++) {
          expr = 0.0;
          for (int i = 0; i < n; i++)
            expr.AddTerm(1.0, vars[i,j,v]);
          string st = "C_" + j.ToString() + "_" + v.ToString();
          model.AddConstr(expr == 1.0, st);
        }
      }

      // Each value appears once per sub-grid

      for (int v = 0; v < n; v++) {
        for (int i0 = 0; i0 < s; i0++) {
          for (int j0 = 0; j0 < s; j0++) {
            expr = 0.0;
            for (int i1 = 0; i1 < s; i1++) {
              for (int j1 = 0; j1 < s; j1++) {
                expr.AddTerm(1.0, vars[i0*s+i1,j0*s+j1,v]);
              }
            }
            string st = "Sub_" + v.ToString() + "_" + i0.ToString()
                               + "_" + j0.ToString();
            model.AddConstr(expr == 1.0, st);
          }
        }
      }

      // Fix variables associated with pre-specified cells

      StreamReader sr = File.OpenText(args[0]);

      for (int i = 0; i < n; i++) {
        string input = sr.ReadLine();
        for (int j = 0; j < n; j++) {
          int val = (int) input[j] - 48 - 1; // 0-based

          if (val >= 0)
            vars[i,j,val].LB = 1.0;
        }
      }

      // Optimize model

      model.Optimize();

      // Write model to file
      model.Write("sudoku.lp");

      double[,,] x = model.Get(GRB.DoubleAttr.X, vars);

      Console.WriteLine();
      for (int i = 0; i < n; i++) {
        for (int j = 0; j < n; j++) {
          for (int v = 0; v < n; v++) {
            if (x[i,j,v] > 0.5) {
              Console.Write(v+1);
            }
          }
        }
        Console.WriteLine();
      }

      // Dispose of model and env
      model.Dispose();
      env.Dispose();

    } catch (GRBException e) {
      Console.WriteLine("Error code: " + e.ErrorCode + ". " + e.Message);
    }
  }
}

Try Gurobi for Free

Choose the evaluation license that fits you best, and start working with our Expert Team for technical guidance and support.

Evaluation License
Get a free, full-featured license of the Gurobi Optimizer to experience the performance, support, benchmarking and tuning services we provide as part of our product offering.
Academic License
Gurobi supports the teaching and use of optimization within academic institutions. We offer free, full-featured copies of Gurobi for use in class, and for research.
Cloud Trial

Request free trial hours, so you can see how quickly and easily a model can be solved on the cloud.

Search

Gurobi Optimization