Check-in commons-math 3.6.1 am: 1354beaf45

Original change: https://android-review.googlesource.com/c/platform/external/apache-commons-math/+/2702413

Change-Id: I4990b1b31e5dd9596f208d93dd22cc8d5e470689
Signed-off-by: Automerger Merge Worker <android-build-automerger-merge-worker@system.gserviceaccount.com>

1 files changed, 97 insertions, 0 deletions

diff --git a/src/main/java/org/apache/commons/math3/fitting/leastsquares/OptimumImpl.java b/src/main/java/org/apache/commons/math3/fitting/leastsquares/OptimumImpl.java
new file mode 100644
index 0000000..698f86c
--- /dev/null
+++ b/src/main/java/org/apache/commons/math3/fitting/leastsquares/OptimumImpl.java
@@ -0,0 +1,97 @@
+/*
+ * 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.math3.fitting.leastsquares;
+
+import org.apache.commons.math3.fitting.leastsquares.LeastSquaresOptimizer.Optimum;
+import org.apache.commons.math3.fitting.leastsquares.LeastSquaresProblem.Evaluation;
+import org.apache.commons.math3.linear.RealMatrix;
+import org.apache.commons.math3.linear.RealVector;
+
+/**
+ * A pedantic implementation of {@link Optimum}.
+ *
+ * @since 3.3
+ */
+class OptimumImpl implements Optimum {
+
+    /** abscissa and ordinate */
+    private final Evaluation value;
+    /** number of evaluations to compute this optimum */
+    private final int evaluations;
+    /** number of iterations to compute this optimum */
+    private final int iterations;
+
+    /**
+     * Construct an optimum from an evaluation and the values of the counters.
+     *
+     * @param value       the function value
+     * @param evaluations number of times the function was evaluated
+     * @param iterations  number of iterations of the algorithm
+     */
+    OptimumImpl(final Evaluation value, final int evaluations, final int iterations) {
+        this.value = value;
+        this.evaluations = evaluations;
+        this.iterations = iterations;
+    }
+
+    /* auto-generated implementations */
+
+    /** {@inheritDoc} */
+    public int getEvaluations() {
+        return evaluations;
+    }
+
+    /** {@inheritDoc} */
+    public int getIterations() {
+        return iterations;
+    }
+
+    /** {@inheritDoc} */
+    public RealMatrix getCovariances(double threshold) {
+        return value.getCovariances(threshold);
+    }
+
+    /** {@inheritDoc} */
+    public RealVector getSigma(double covarianceSingularityThreshold) {
+        return value.getSigma(covarianceSingularityThreshold);
+    }
+
+    /** {@inheritDoc} */
+    public double getRMS() {
+        return value.getRMS();
+    }
+
+    /** {@inheritDoc} */
+    public RealMatrix getJacobian() {
+        return value.getJacobian();
+    }
+
+    /** {@inheritDoc} */
+    public double getCost() {
+        return value.getCost();
+    }
+
+    /** {@inheritDoc} */
+    public RealVector getResiduals() {
+        return value.getResiduals();
+    }
+
+    /** {@inheritDoc} */
+    public RealVector getPoint() {
+        return value.getPoint();
+    }
+}