We offer computationally convenient and effective schemes of interpolation and extrapolation. These methods are ideal for any system that needs to work with functions which are stored in tabular form. We include the methods of Newton polynomials, Lagrange's formula, Burlisch-Stoer algorithm, Cubic splines (natural and free) and Bicubic interpolation. We also consider algorithms for finding the coefficients of an interpolation function and interpolation in higher dimensions.

Prices
WebCab Interpolation v2.0 J2EE Edition
Single CPU Server License
$249
2 CPU Server License
$326
4 CPU Server License
$489
Unlimited Site Wide License
$685
Demo License (limited functionality)
$0
Prices are expressed in US Dollars.
Product Details
This suite includes the following features:

  • Polynomial Interpolation and extrapolation

    • Lagrange's formula - for interpolating a function known at N points with a polynomial of degree N-1
    • Burlisch-Stoer algorithm - interpolates functions using rational functions, this method gives error estimates
    • Cubic Splines - we give algorithms for natural and clamped cubic splines
    • Sorting - efficient techniques are used for finding tabulated values

  • Coefficients of an Interpolating Polynomial

    • Matrix method - this method relies upon diagonalizing a matrix (or solving a system of equations), and is of the order N squared
    • Zero method - by evaluating the interpolating polynomial at particular values we deduce the coefficients, this method is of the order N cubed

  • Interpolation and extrapolation in two or more dimensions

    • Grid - functions can be interpolated on an n-dimensional grid
    • Bilinear interpolation - we consider a multidimensional interpolation by breaking the problem into successive one dimensional interpolations
    • Accuracy - the use of higher order polynomials to obtain increased accuracy
    • Smoothness - the use of higher order polynomials to enforce smoothness on some of the derivatives
    • Bicubic interpolation - finds an interpolating function with a specified derivatives and cross derivatives which vary smoothly at the grid points
    • Bicubic spline - a special case of Bicubic interpolation involving the use of successive one-dimensional splines


This product also contains the following features:

  • GUI Bundle - we bundle a suite of graphical user interface JavaBean components (with 1, 2, 4 or site-wide license) allowing the developer to plug-in a wide range of GUI functionality (including charts/graphs) into their client applications
  • EAR Files - we provide individual customized EAR files for the most widely used application servers including IBM WebSphere 4.0/5.0, BEA WebLogic 6.1/7.0, Oracle 9iAS, Sun ONE AppServer 7, Ironflare Orion 1.5.2/1.6.0, Borland AppServer 5.0, Sybase EAServer 3.6 and JBoss 2.4.4/3.0.0
  • Self-Deploy - the relevant servers EAR file will be self-deployed onto supported local application servers during the installation of the self-install package. The supported application servers include IBM WebSphere 4.0/5.0, BEA WebLogic 6.1/7.0, Oracle 9iAS, Borland AppServer 5.0, Ironflare Orion 1.5.2/1.6.0 and JBoss 2.4.4/3.0.0
  • UML Models - to assist system architects we provide UML diagrams of this component

Prerequisites

  • An Operating System running JavaTM
  • Pentium III® 733 Mhz
  • 256MB RAM
  • A J2EE1.3 (EJB2.0) compatible Application Server

Software requirements:
  • Java2 Enterprise Edition
  • JDK 1.3 or compatible
Compatibility
Operating System for Deployment:
  • Windows XP, 2000, NT
  • Sun Solaris
  • Linux
  • IBM AIX
  • HP-UX

Built Using:

  • JavaTM 2 SDK Standard Edition 1.3.1/1.4.x
  • JavaTM 2 SDK Enterprise Edition 1.3
Application Servers:
  • IBM WebSphere Application Server V4.0/V5.0
  • BEA WebLogic® Server 6.1/7.0
  • Oracle® 9i Application Server
  • Sun ONE AppServer 7
  • Borland Enterprise AppServer 5.0
  • Ironflare Orion Server 1.5.2/1.6.0
  • Sybase EAServer 3.6
  • JBoss 2.4.4/3.0.0

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