Example usage for org.apache.commons.math3.analysis.differentiation UnivariateDifferentiableFunction interface-usage

Introduction

In this page you can find the example usage for org.apache.commons.math3.analysis.differentiation UnivariateDifferentiableFunction interface-usage.

Usage

From source file curveavg.QuinticFunction.java

/**
 *
 * @author cerdogan
 */

class QuinticFunction implements UnivariateDifferentiableFunction {

From source file com.gedaeusp.domain.Exponential.java

public class Exponential implements UnivariateDifferentiableFunction {

    public static final int PARAM_v0 = 0;
    public static final int PARAM_a = 1;
    public static final int PARAM_tau = 2;

From source file com.gedaeusp.domain.Biexponential.java

/**
 * f(t) = v0 + a1 * exp( -(t)/tau1 ) + a2 * exp( -(t)/tau2 ) 
**/
public class Biexponential implements UnivariateDifferentiableFunction {

    public static final int PARAM_v0 = 0;

From source file logic.ApachePolyNewtonForm.java

/**
 * Implements the representation of a real polynomial function in
 * Newton Form. For reference, see <b>Elementary Numerical Analysis</b>,
 * ISBN 0070124477, chapter 2.
 * <p>
 * The formula of polynomial in Newton form is

From source file com.itemanalysis.psychometrics.irt.estimation.IrtExaminee.java

/**
 * This class holds an item responseVector vector for an examinee and stores a count of the
 * number of examinees with the same responseVector vector. It computes the loglikelihood
 * and the first derivative of the loglikelihood. These methods can be used for maximum
 * likelihood (ML), Bayes modal (MAP), expected a posteriori (EAP), and proportinal curve
 * fitting (PCF) estimation of person ability in univariate item responseVector models.