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remove an unused file.

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adrian 2018-05-22 17:34:18 -04:00
parent f90d29262b
commit ff3d3655ac
2 changed files with 0 additions and 108 deletions
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102
src/main/java/org/apache/commons/math4/fitting/leastsquares/DifferentiatorMultivariateJacobianFunction.java
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@ -1,102 +0,0 @@
/*
* 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.math4.fitting.leastsquares;
import org.apache.commons.math4.analysis.MultivariateFunction;
import org.apache.commons.math4.analysis.UnivariateFunction;
import org.apache.commons.math4.analysis.differentiation.DerivativeStructure;
import org.apache.commons.math4.analysis.differentiation.UnivariateFunctionDifferentiator;
import org.apache.commons.math4.linear.Array2DRowRealMatrix;
import org.apache.commons.math4.linear.ArrayRealVector;
import org.apache.commons.math4.linear.RealMatrix;
import org.apache.commons.math4.linear.RealVector;
import org.apache.commons.math4.util.Pair;
/**
* A MultivariateJacobianFunction (a thing that requires a derivative)
* combined with the thing that can find derivatives.
*
* Can be used with a LeastSquaresProblem, a LeastSquaresFactory, or a LeastSquaresBuilder.
*
* This version that works with MultivariateFunction
* @see DifferentiatorVectorMultivariateJacobianFunction for version that works with MultivariateVectorFunction
*/
public class DifferentiatorMultivariateJacobianFunction implements MultivariateJacobianFunction {
/**
* The input function to find a jacobian for.
*/
private final MultivariateFunction function;
/**
* The differentiator to use to find the jacobian.
*/
private final UnivariateFunctionDifferentiator differentiator;
/**
* Build the jacobian function using a differentiator.
*
* @param function the function to turn into a jacobian
* @param differentiator the differentiator to find the derivative
*
* This version that works with MultivariateFunction
* @see DifferentiatorVectorMultivariateJacobianFunction for version that works with MultivariateVectorFunction
*/
public DifferentiatorMultivariateJacobianFunction(MultivariateFunction function, UnivariateFunctionDifferentiator differentiator) {
this.function = function;
this.differentiator = differentiator;
}
/**
* @inheritDoc
*/
@Override
public Pair<RealVector, RealMatrix> value(RealVector point) {
double[] testArray = point.toArray();
ArrayRealVector value = new ArrayRealVector(1);
value.setEntry(0, function.value(testArray));
RealMatrix jacobian = new Array2DRowRealMatrix(1, point.getDimension());
for(int column = 0; column < point.getDimension(); column++) {
final int columnFinal = column;
double originalPoint = point.getEntry(column);
double partialDerivative = getPartialDerivative(testPoint -> {
testArray[columnFinal] = testPoint;
return function.value(testArray);
}, originalPoint);
testArray[column] = originalPoint; //set it back
jacobian.setEntry(0, column, partialDerivative);
}
return new Pair<>(value, jacobian);
}
/**
* Returns first order derivative for the function passed in using a differentiator
* @param univariateFunction the function to differentiate
* @param atParameterValue the point at which to differentiate it at
* @return the slope at that point
*/
private double getPartialDerivative(UnivariateFunction univariateFunction, double atParameterValue) {
return differentiator
.differentiate(univariateFunction)
.value(new DerivativeStructure(1, 1, 0, atParameterValue))
.getPartialDerivative(1);
}
}

6
src/main/java/org/apache/commons/math4/fitting/leastsquares/DifferentiatorVectorMultivariateJacobianFunction.java
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@ -31,9 +31,6 @@ import org.apache.commons.math4.util.Pair;
* combined with the thing that can find derivatives.
*
* Can be used with a LeastSquaresProblem, a LeastSquaresFactory, or a LeastSquaresBuilder.
*
* This version that works with MultivariateVectorFunction
* @see DifferentiatorMultivariateJacobianFunction for version that works with MultivariateFunction
*/
public class DifferentiatorVectorMultivariateJacobianFunction implements MultivariateJacobianFunction {
/**
@ -50,9 +47,6 @@ public class DifferentiatorVectorMultivariateJacobianFunction implements Multiva
*
* @param function the function to turn into a jacobian
* @param differentiator the differentiator to find the derivative
*
* This version that works with MultivariateVectorFunction
* @see DifferentiatorMultivariateJacobianFunction for version that works with MultivariateFunction
*/
public DifferentiatorVectorMultivariateJacobianFunction(MultivariateVectorFunction function, UnivariateVectorFunctionDifferentiator differentiator) {
this.function = function;