Java tutorial
/* * Licensed to the Apache Software Foundation (ASF) under one or more * contributor license agreements. See the NOTICE file distributed with * this work for additional information regarding copyright ownership. * The ASF licenses this file to You 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. */ package org.apache.commons.math.distribution; import org.apache.commons.math.MathException; /** * <p>Base interface for continuous distributions.</p> * * <p>Note: this interface will be extended in version 3.0 to include * <br/><code>public double density(double x)</code><br/> * that is, from version 3.0 forward, continuous distributions <strong>must</strong> * include implementations of probability density functions. As of version * 2.1, all continuous distribution implementations included in commons-math * provide implementations of this method.</p> * * @version $Revision: 924362 $ $Date: 2010-03-17 17:45:31 +0100 (mer. 17 mars 2010) $ */ public interface ContinuousDistribution extends Distribution { /** * For this distribution, X, this method returns x such that P(X < x) = p. * @param p the cumulative probability. * @return x. * @throws MathException if the inverse cumulative probability can not be * computed due to convergence or other numerical errors. */ double inverseCumulativeProbability(double p) throws MathException; }