1 /* 2 * Licensed to the Hipparchus project under one or more 3 * contributor license agreements. See the NOTICE file distributed with 4 * this work for additional information regarding copyright ownership. 5 * The Hipparchus project licenses this file to You under the Apache License, Version 2.0 6 * (the "License"); you may not use this file except in compliance with 7 * the License. You may obtain a copy of the License at 8 * 9 * https://www.apache.org/licenses/LICENSE-2.0 10 * 11 * Unless required by applicable law or agreed to in writing, software 12 * distributed under the License is distributed on an "AS IS" BASIS, 13 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. 14 * See the License for the specific language governing permissions and 15 * limitations under the License. 16 */ 17 package org.hipparchus.special.elliptic.jacobi; 18 19 import org.hipparchus.util.FastMath; 20 21 /** Algorithm for computing the principal Jacobi functions for parameter m greater than 1. 22 * <p> 23 * The rules for reciprocal parameter change are given in Abramowitz and Stegun, 24 * sections 16.11 and 17.4.15. 25 * </p> 26 * @since 2.0 27 */ 28 class BigParameter extends JacobiElliptic { 29 30 /** Algorithm to use for the positive parameter. */ 31 private final JacobiElliptic algorithm; 32 33 /** Input scaling factor. */ 34 private final double inputScale; 35 36 /** output scaling factor. */ 37 private final double outputScale; 38 39 /** Simple constructor. 40 * @param m parameter of the Jacobi elliptic function (must be greater than 1 here) 41 */ 42 BigParameter(final double m) { 43 super(m); 44 algorithm = JacobiEllipticBuilder.build(1.0 / m); 45 inputScale = FastMath.sqrt(m); 46 outputScale = 1.0 / inputScale; 47 } 48 49 /** {@inheritDoc} */ 50 @Override 51 public CopolarN valuesN(final double u) { 52 final CopolarN trioN = algorithm.valuesN(u * inputScale); 53 return new CopolarN(outputScale * trioN.sn(), trioN.dn(), trioN.cn()); 54 } 55 56 }