Uses of Interface
math.numerics.Function

Packages that use Function

math.approximations
math.numerics

Uses of Function in math.approximations

Classes in math.approximations that implement Function

class	CubicSpline
class	Polynomial Polynomial implements a mathematical polynomial: c[0] + c[1] * x + c[2] * x^2 + ....
class	PolynomialLeastSquareFit Polynomial least square fit without any error estimation.

Methods in math.approximations that return Function

static Function

CurveFitting.LinearRegression(double[] xpoints, double[] ypoints) Computes the linear regression for the given data.

Uses of Function in math.numerics

Subinterfaces of Function in math.numerics

interface

InvertibleFunction Title: InvertibleFunction Description: An invertible function of one variable.

Classes in math.numerics that implement Function

class	LegendreInterpolator LegendreInterpolator uses a polynomial interpolation formula to evaluate values between data points.
class	LogBase10Function
class	MathExpParser MathExpParser defines an abstract super class for mathematical expression parsers.
class	ParsedFunction ParsedFunction defines a function of a single varianble using a String.
class	SuryonoParser The class Parser is a mathematical expression parser.

Methods in math.numerics that return Function

static Function

Util.constantFunction(double _c) Creates a function having a constant value.

Methods in math.numerics with parameters of type Function

static double	Root.bisection(Function f, double x1, double x2, double tol) Implements the bisection method for finding the root of a function.
static double	Derivative.centered(Function f, double x, double h) Calculates the derivative of a function using the centered difference approximation.
static double[][]	Derivative.fillArray(Function f, double start, double stop, double tol, double[][] data) Fills an array with the derivatives of a function.
static double[][]	Integral.fillArray(Function f, double start, double stop, double tol, double[][] data) Fills the given data array with the intgral of the given function.
static double[][]	Derivative.fillArray(Function f, double start, double stop, double tol, int n)
static double[][]	Integral.fillArray(Function f, double start, double stop, double tol, int n) Fills a data array with the integral of the given function.
static double[][]	Util.functionFill(Function f, double start, double stop, double[][] data) Fills an array with f(x) values.
static double[][]	Util.functionFill(Function f, double start, double stop, int n) Fills an array with f(x) values.
static double[]	Util.getDomain(Function f, double a, double b, int n)
static double	Root.newton(Function f, double x, double tol) Implements Newton's method for finding the root of a function.
static double	Root.newton(Function f, Function df, double x, double tol) Implements Newton's method for finding the root of a function.
static double	Integral.ode(Function f, double start, double stop, double tol)
static double	Derivative.romberg(Function f, double x0, double h, double tol) Calculates the derivative using the Romberg scheme for Richardson extrapolation.
static double	Integral.romberg(Function f, double a, double b, int n, double tol) Integrates the function using Romberg's algorithm based on Richardson's deferred approach.
static double	Derivative.second(Function f, double x, double tol)
static double[][]	Derivative.secondFillArray(Function f, double start, double stop, double tol, double[][] data) Fills an array with the second derivative of a function.
static double[][]	Derivative.secondFillArray(Function f, double start, double stop, double tol, int n) Fills an array with the second derivative of a function.
static double	Integral.simpson(Function f, double start, double stop, int n) Numerical integration using Simpson's rule.
static double	Integral.simpson(Function f, double start, double stop, int n, double tol) Numerical integration using Simpson's rule.
static double	Integral.trapezoidal(Function f, double start, double stop, int n, double tol) Integrates the function using the trapezoidal method.