Quantitative Analysts Have Fastest Linear Programming Optimization, Classification Neural Networks, and Visualization Tools From Visual Numerics(R) IMSL(TM) C# and JMSL(TM) Numerical Libraries for Portfolio Modeling

Visual Numerics , Inc., celebrating 35 years of producing leading numerical analysis and visualization software , today announced the availability of the IMSL C# Numerical Library version 4.0 and JMSL Numerical Library for Java(TM) Applications version 4.0. These libraries now include the world's fastest, most robust high performance dense linear programming optimizer in pure Java and C#, the most sophisticated classification neural network technology in a broad numerical library for data mining and business intelligence , and 3D charting capabilities. The combination of these features is optimal for capital market companies who need to build advanced applications capable of performing portfolio optimization, trading systems analysis and risk modeling on a wide variety of computing platforms.

Many companies in the financial services industry do not have access to standard methods or algorithms for quantitative model development. As a result, quantitative engineers must go through a lengthy trial and error process to build their own models. To prevent quantitative engineers from spending years designing just one mathematical and statistical algorithm, Visual Numerics now offers up to 100 fully-tested classes in version 4.0 of the IMSL C# and JMSL Numerical Libraries to help engineers build applications that solve real world problems, and get those solutions to market faster.

New features of IMSL C# 4.0 and JMSL 4.0 include:

--  High-performance Dense Linear Programming Optimizer -- For state-of-
    the-art constrained dense linear programming optimization. Both IMSL C# 4.0
    and JMSL 4.0 now offer the world's fastest, most robust optimizer of its
    kind in pure Java or C# for use in financial and business analytics. In
    tests against two established Fortran-based Linear Programming Optimizer
    competitors, the JMSL library 4.0 and IMSL C# library 4.0 performed on par
    with both of them -- an impressive feat for a Java-based algorithm.
--  Classification Neural Nets -- A key algorithm in developing business
    intelligence applications, and used for classical data mining. This binary
    classification and multi-classification algorithm complements Visual
    Numerics' existing forecasting functionality in the JMSL Library. The
    feature categorizes data to identify groups that are more likely to perform
    certain behaviors -- for example, identifying mobile phone users who are
    more likely to move to a higher priced plan, or identifying credit card
    usage that is more likely to be fraudulent
--  Mersenne Twister Algorithm -- New random number generator that
    improves accuracy in Monte Carlo simulations, and is widely used in
    financial applications
--  3D Charting surface plotting features in JMSL -- A feature set
    requested by many customers that includes surface and 3D scatter charts
--  2D Charting in IMSL C# (Available in Q3'06) -- Aligns with JMSL 2D
    charting and includes pure C# managed code for .NET environments

"Financial services companies are under incredible pressure to synthesize massive amounts of data to produce real-time forecasts and investment recommendations for their clients," said Phil Fraher, president and CEO of Visual Numerics. "By offering highly advanced mathematical and statistical libraries with the fastest, most robust high performance dense linear programming optimizer and charting capabilities, we're giving portfolio managers a powerful business intelligence toolset for making more accurate, up-to-the-minute financial recommendations."

About The IMSL(TM) C# Numerical Library

The IMSL C# Numerical Library, which is written in 100% Visual C# .NET, is designed to make programming easier and faster, provides fully managed code, and ensures that programs written today will stay compliant and remain compatible with future applications. The IMSL C# Library also contains powerful algorithms that are the backbone of common analytics such as profit maximization, product design optimization, supply chain efficiency optimization, and demand forecasting. With the use of the IMSL C# Numerical Library, applications built on the Microsoft .NET Framework can provide more powerful business analytics than ever before.

About The JMSL(TM) Numerical Library for Java

The JMSL Library is the broadest collection of mathematical, statistical, financial, data mining and charting classes available in 100% Java. It is the only solution for Java programmers, which combines integrated charting capabilities with the reliable mathematical and statistical functionality of the industry-leading IMSL(TM) Numerical Library algorithms. The JMSL Library is platform independent, which makes it easy to embed in existing, standalone or networked applications. Additionally, the solution requires shorter development cycles than custom-created or home-grown systems and can offer companies cost and time savings of up to 95%.

Pricing and Availability

The IMSL C# Numerical Library 4.0 is available immediately, starting at $995 for one development seat. The JMSL Numerical Library for Java 4.0 is also available immediately and costs $2,895 per development seat.