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A Java's Collaborative Filtering library to carry out experiments in research of Collaborative Filtering based Recommender Systems. The library has been designed from researchers to researchers.
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/*
* 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,
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package org.apache.commons.math3.analysis.differentiation;
import org.apache.commons.math3.analysis.UnivariateFunction;
import org.apache.commons.math3.exception.DimensionMismatchException;
/** Interface for univariate functions derivatives.
* This interface represents a simple function which computes
* both the value and the first derivative of a mathematical function.
* The derivative is computed with respect to the input variable.
* @see UnivariateDifferentiableFunction
* @see UnivariateFunctionDifferentiator
* @since 3.1
*/
public interface UnivariateDifferentiableFunction extends UnivariateFunction {
/** Simple mathematical function.
* {@link UnivariateDifferentiableFunction} classes compute both the
* value and the first derivative of the function.
* @param t function input value
* @return function result
* @exception DimensionMismatchException if t is inconsistent with the
* function's free parameters or order
*/
DerivativeStructure value(DerivativeStructure t)
throws DimensionMismatchException;
}
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