1 /*
2 * Licensed to the Apache Software Foundation (ASF) 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 ASF 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
18 /*
19 * This is not the original file distributed by the Apache Software Foundation
20 * It has been modified by the Hipparchus project
21 */
22
23 package org.hipparchus.analysis;
24
25 /**
26 * An interface representing a real function that depends on one independent
27 * variable plus some extra parameters.
28 *
29 */
30 public interface ParametricUnivariateFunction {
31 /**
32 * Compute the value of the function.
33 *
34 * @param x Point for which the function value should be computed.
35 * @param parameters Function parameters.
36 * @return the value.
37 */
38 double value(double x, double ... parameters);
39
40 /**
41 * Compute the gradient of the function with respect to its parameters.
42 *
43 * @param x Point for which the function value should be computed.
44 * @param parameters Function parameters.
45 * @return the value.
46 */
47 double[] gradient(double x, double ... parameters);
48 }