Numerical Analysis: JMSL Numerical Library, IMSL Numerical Library for Java

Embeddable Numerical Analysis Functions for Java Analytical Applications

Unprecedented numerical analysis in Java™. Tested, proven, risk-free!
  • Broadest collection of mathematical, statistical, financial, data mining and charting classes in 100% Java.
  • The only Java programming solution that combines integrated charting with the reliable mathematical and statistical functionality of the industry-leading IMSL® Numerical Library algorithms.
  • Includes basic algorithms such as linear algebra and regression.
  • Includes neural network forecasting classes which can be applied to applications such as bioinformatics and life sciences, fraud detection, risk management and portfolio optimization, manufacturing yield analysis and more.
  • Other advanced algorithms include data mining, modeling and prediction technologies.

 

 

JMSL – a foundation for Java™ applications that require high-end math, statistical, and charting capabilities.

The latest JMSL Numerical Library features:

  • Improved performance in function areas like Fast Fourier Transform (FFT) algorithms and matrix multiplication.
  • Reviewed low-level BLAS functions integrated into the library and updated many methods to use the best techniques available for tasks like copying arrays and computing dot products.

  • 13 new classes of process control charts:
    • X-Bar/R-Chart
    • CuSum chart
    • P-Chart and NP-Chart
    • Pareto Chart
    • U- and C-Charts

  • New functions:
    • A set of classes to support sparse linear algebra common in engineering and financial modeling.  Also includes SuperLU, a popular package to solve sparse LU factorization problems.
    • A spline 2D function to help with the computation of curves. Common in science (e.g., surface computations in physics), biomechanics and business.
    • Two new solvers for linear systems of equations. Implementations of the restarted Generalized Minimum Residual (GMRES) method and a Conjugate Gradient method for symmetric positive definite systems add more options to developers solving dense linear systems.

  • Innovative JMSL Application Quick Start
  • Use in any context in which Java J2SE can be used:
    • Stand alone application running on a PC, workstation, or laptop
    • On a Web server
    • In an Applet within a browser
    • Using Java Web Start

  • ARMA utility classes
    • Auto Univariate, Seasonal Fit, Estimate Missing, Maximum Likelihood



IMSL Numerical Libraries Overview and Benefits

IMSL Libraries – Analytics Areas of Functionalities

IMSL Libraries – Extensive Environment Support

IMSL Libraries:

IMSL Libraries for Forecasting and Data Mining

IMSL Libraries: Auto Arima and Neural Networks

IMSL Libraries for Finance

Documentation

White Papers

Application Areas



Need more information?

Contact our Sales
Support at:
800.222.4675
or email info@vni.com

Company Products & Services Solutions Success Stories Support Downloads Email this page
© Copyright 2010 Visual Numerics, Inc. All Rights Reserved Legal Privacy Sitemap