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Embeddable Numerical Analysis Functions for Java Analytical Applications
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| 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
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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


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