1 | /*
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2 | * Licensed to the Apache Software Foundation (ASF) under one or more
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3 | * contributor license agreements. See the NOTICE file distributed with
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4 | * this work for additional information regarding copyright ownership.
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5 | * The ASF licenses this file to You under the Apache License, Version 2.0
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6 | * (the "License"); you may not use this file except in compliance with
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7 | * the License. You may obtain a copy of the License at
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8 | *
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9 | * http://www.apache.org/licenses/LICENSE-2.0
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10 | *
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11 | * Unless required by applicable law or agreed to in writing, software
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12 | * distributed under the License is distributed on an "AS IS" BASIS,
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13 | * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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14 | * See the License for the specific language governing permissions and
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15 | * limitations under the License.
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16 | */
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17 |
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18 | package agents.anac.y2019.harddealer.math3.random;
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19 |
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20 | /**
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21 | * This class is a gaussian normalized random generator for scalars.
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22 | * <p>This class is a simple wrapper around the {@link
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23 | * RandomGenerator#nextGaussian} method.</p>
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24 | * @since 1.2
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25 | */
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26 |
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27 | public class GaussianRandomGenerator implements NormalizedRandomGenerator {
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28 |
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29 | /** Underlying generator. */
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30 | private final RandomGenerator generator;
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31 |
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32 | /** Create a new generator.
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33 | * @param generator underlying random generator to use
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34 | */
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35 | public GaussianRandomGenerator(final RandomGenerator generator) {
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36 | this.generator = generator;
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37 | }
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38 |
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39 | /** Generate a random scalar with null mean and unit standard deviation.
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40 | * @return a random scalar with null mean and unit standard deviation
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41 | */
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42 | public double nextNormalizedDouble() {
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43 | return generator.nextGaussian();
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44 | }
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45 |
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46 | }
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