WebCab Numerical Differentiation and Integration EJB^TM component provides precise numerical techniques by which the definite integral and derivative at a point of a function can be evaluated. Ridders' algorithm, Newton polynomial and Chebyshev polynomial methods are used in the approximation of a functions derivative. Newton-Cotes rule, Extended Trapezoidal rule, Extended Simpson's formula, Quadratic Gauss formula, Gaussian Quadrature (using the orthogonal functions of the Gauss-Legendre, Gauss-Laguerre, Gauss-Hermite and Gauss-Jacobi type), Romberg integration and Chebyshev-approximation procedures are implemented for the evaluation of the definite integral.

New Features: GUI Bundle

We bundle a suite of graphical user interface JavaBean components (with a site-wide licence) allowing the developer to plug-in a wide range of GUI functionality (including charts/graphs) into their client applications.

Prices

WebCab Numerical Differentiation and Integration v4.0
Single CPU Server License	$449
2 CPU Server License	$592
4 CPU Server License	$889
Unlimited Site Wide Server License	$1,244
Demo License (limited functionality)	$0

Prices are expressed in USD.

Product Details

The WebCab Numerical Differentiation and Integration enterprise suite offers the following numerical techniques for the evaluation of the definite integral and the derivative at a point.

• Numerical Integration
  • Newton-Cotes Rule
  • Extended Trapezoidal Rule - Based on approximating the function by drawing straight lines between the interpolating points.
  • Extended Simpson's Formula
  • Quadratic Gauss Formula
  • Gaussian Quadrature and Orthogonal Polynomials
    • Gauss-Legendre
    • Gauss-Laguerre
    • Guass-Hermite
    • Gauss-Jacobi
  • Romberg Integration
  • Chebyshev Approximation Procedures
• Numerical Derivative
  • Ridders' Algorithm - This method uses the classical definition of the derivative taking into account very carefully any rounding errors which may occur.
  • Newton Polynomial- The first and second derivative.
  • Chebyshev Polynomial Method - The function is first approximated by an absolutely convergent series of Chebyshev polynomials and then this series is explicitely differentiated term by term.

   

This package also contains the following features:

• GUI Bundle - we bundle a suite of graphical user interface JavaBean components (with a site-wide licence) allowing the developer to plug-in a wide range of GUI functionality (including charts/graphs) into their client applications
• UML Models - to assist software architects we include UML diagrams
• 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

Prerequisites

• An Operating System running Java^TM
• 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:

• Java^TM 2 SDK Standard Edition 1.3.1/1.4
• Java^TM 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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