Package docs

Source Code of docs.Overview

/**
*  Copyright (c) 1999-2014, Ecole des Mines de Nantes
*  All rights reserved.
*  Redistribution and use in source and binary forms, with or without
*  modification, are permitted provided that the following conditions are met:
*
*      * Redistributions of source code must retain the above copyright
*        notice, this list of conditions and the following disclaimer.
*      * Redistributions in binary form must reproduce the above copyright
*        notice, this list of conditions and the following disclaimer in the
*        documentation and/or other materials provided with the distribution.
*      * Neither the name of the Ecole des Mines de Nantes nor the
*        names of its contributors may be used to endorse or promote products
*        derived from this software without specific prior written permission.
*
*  THIS SOFTWARE IS PROVIDED BY THE REGENTS AND CONTRIBUTORS ``AS IS'' AND ANY
*  EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
*  WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
*  DISCLAIMED. IN NO EVENT SHALL THE REGENTS AND CONTRIBUTORS BE LIABLE FOR ANY
*  DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
*  (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
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*/
package docs;

import solver.Solver;
import solver.constraints.IntConstraintFactory;
import solver.search.strategy.IntStrategyFactory;
import solver.variables.IntVar;
import solver.variables.VariableFactory;

/**
* <br/>
*
* @author Charles Prud'homme
* @since 27/03/2014
*/
public class Overview {

    public void overview1() {
        // 1. Create a Solver
        Solver solver = new Solver("my first problem");
        // 2. Create variables through the variable factory
        IntVar x = VariableFactory.bounded("X", 0, 5, solver);
        IntVar y = VariableFactory.bounded("Y", 0, 5, solver);
        // 3. Create and post constraints by using constraint factories
        solver.post(IntConstraintFactory.arithm(x, "+", y, "<", 5));
        // 4. Define the search strategy
        solver.set(IntStrategyFactory.lexico_LB(new IntVar[]{x, y}));
        // 5. Launch the resolution process
        solver.findSolution();
    }
}
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