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WebCab Functions (J2SE Edition) 2.0

Java class library for solving equations and interpolating functions.
Last updated: January 3, 2009
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WebCab Functions (J2SE Edition) 2.0 Summary:

Publisher: WebCab Components
Rating:
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  • Windows,Unix,Mac,Linux - 4.96MB
  • Licence: Demo, $119.00 to buy
  • Date Added: October 4, 2004
  • Release status: Major Update

WebCab Functions (J2SE Edition) 2.0 Description:

Java API Components offering refined numerical procedures to either construct a function of one or two variables from a set of points (i.e. interpolate), or solve an equation of one variable. The interpolation procedures provided include Newton polynomials, Lagrange's formula, Burlisch-Stoer algorithm, Cubic splines (natural and free), Bicubic interpolation and procedures for find the interpolation functions coefficients.

Software OS: Win98,Windows2000,WinXP,Windows2003,Unix,Linux,Mac OS X
Setup Filename: FunctionsJ2SEDemo.jar
System Requirements: An Operating System running Java

WebCab Functions (J2SE Edition) 2.0 Tags:

interpolation,extrapolation,java,javabeans,class libraries,j2se,jsp,newton polynomials,lagrange,burlisch stoer,cubic splines

WebCab Functions (J2SE Edition) 2.0 Full Description:

Java API Components offering refined numerical procedures to either construct a function of one or two variables from a set of points (i.e. interpolate), or solve an equation of one variable. The interpolation procedures provided include Newton polynomials, Lagrange's formula, Burlisch-Stoer algorithm, Cubic splines (natural and free), Bicubic interpolation and procedures for find the interpolation functions coefficients. In order to solve an equation we provide the Van Wijngaarden-Dekker-Brent algorithm, interval bisection method, secant and false position, Newton-Raphson method and Ridders' method.

This suite includes the following features:

1) Interpolation Module: polynomial interpolation and extrapolation, coefficients of an interpolating polynomial, interpolation and extrapolation in two or more dimensions.

2) Equation Solver Module: Interval Method, Secant Method, Brent's Algorithm, Ridders' Method, Method of Regular Falsi, Method of Regula Falsi, Newton-Raphson Method, Fail-Safe Newton-Raphson Method.


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