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DDogleg Numerics is a high performance Java library for non-linear optimization, robust model fitting, polynomial root finding, sorting, and more.

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/*
 * Copyright (c) 2012-2017, Peter Abeles. All Rights Reserved.
 *
 * This file is part of DDogleg (http://ddogleg.org).
 *
 * Licensed 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.ddogleg.optimization.functions;

import org.ejml.data.DMatrix;

/**
 * @author Peter Abeles
 */
public interface CoupledJacobian {

	/**
	 * Number of input parameters being optimized.
	 */
	int getN();

	/**
	 * Number of functions.
	 */
	int getM();

	/**
	 * Specifies the input parameters.  The user can modify these values and they will be modified inside the
	 * optimization function too.
	 *
	 * @param x Optimization parameters.
	 */
	void setInput(double[] x);
	
	void computeFunctions( double[] output );

	/**
	 * 

* Processes the input parameters into the 2D Jacobian matrix. The matrix has a dimension of M rows and N columns * and is formatted as a row major 1D-array. EJML can be used to provide a matrix wrapper around * the output array: DenseMatrix J = DenseMatrix.wrap(m,n,output); *

* *

* The user can modify the input parameters here and the optimizer must use those changes. *

* * @param jacobian matrix with M rows and N columns. */ void computeJacobian( S jacobian ); }




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