1   /* Copyright 2002-2025 CS GROUP
2    * Licensed to CS GROUP (CS) under one or more
3    * contributor license agreements.  See the NOTICE file distributed with
4    * this work for additional information regarding copyright ownership.
5    * CS 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    *   http://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.orekit.estimation.measurements.gnss;
18  
19  import org.hipparchus.linear.RealMatrix;
20  
21  /** Interface for algorithms solving integer least square problems.
22   * @see IntegerLeastSquareSolution
23   * @author Luc Maisonobe
24   * @since 10.0
25   */
26  public interface IntegerLeastSquareSolver {
27  
28      /** Find the best solutions to an Integer Least Square problem.
29       * @param nbSol number of solutions to search for
30       * @param floatAmbiguities float estimates of ambiguities
31       * @param indirection indirection array to extract ambiguity covariances from global covariance matrix
32       * @param covariance global covariance matrix (includes ambiguities among other parameters)
33       * @return at most {@code nbSol} solutions a to the Integer Least Square problem, in increasing
34       * squared distance order
35       */
36      IntegerLeastSquareSolution[] solveILS(int nbSol, double[] floatAmbiguities, int[] indirection,
37                                            RealMatrix covariance);
38  
39  }