1 /*
2 * Copyright 2013 University of Glasgow.
3 *
4 * Licensed under the Apache License, Version 2.0 (the "License");
5 * you may not use this file except in compliance with the License.
6 * You may obtain a copy of the License at
7 *
8 * http://www.apache.org/licenses/LICENSE-2.0
9 *
10 * Unless required by applicable law or agreed to in writing, software
11 * distributed under the License is distributed on an "AS IS" BASIS,
12 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
13 * See the License for the specific language governing permissions and
14 * limitations under the License.
15 */
16 package broadwick.montecarlo.markovchain.controller;
17
18 import broadwick.montecarlo.markovchain.MarkovChainMonteCarlo;
19
20 /**
21 * Create a default controller that run 1000 steps.
22 */
23 public class MarkovChainMaxNumStepController implements MarkovChainController {
24
25 /**
26 * Create a Monte Carlo controller object that stops the run after a specified number of steps (a fixed path
27 * length).
28 */
29 public MarkovChainMaxNumStepController() {
30 this(1000);
31 }
32
33 /**
34 * Create a Monte Carlo controller object that stops the run after a specified number of steps (a fixed path
35 * length).
36 * @param maxSteps the maximum length of the monte carlo chain.
37 */
38 public MarkovChainMaxNumStepController(final int maxSteps) {
39 this.maxSteps = maxSteps;
40 }
41
42 @Override
43 public final boolean goOn(final MarkovChainMonteCarlo mc) {
44 return mc.getNumStepsTaken() < maxSteps;
45 }
46 private int maxSteps;
47 }