Extreme Optimization > User's Guide

Extreme Optimization User's Guide

User's Guide

The Extreme Optimization Numerical Libraries for .NET is a solid foundation for your numerical computing needs on the .NET platform. It implements a broad set of algorithms, covering a wide range of numerical techniques, including: linear algebra, complex numbers, numerical integration and differentiation, solving equations, optimization, random numbers, regression, ANOVA, statistical distributions, hypothesis tests.

The classes in the Extreme Optimization Numerical Libraries for .NET and the relationships between them match our every-day concepts.

We implemented the best algorithms available today to provide you with a robust, fast toolset.

With the Extreme Optimization Numerical Libraries for .NET you can reduce development time and focus on the problem at hand.

Whether developing applications in C#, Visual Basic .NET, Managed C++, or any of the other .NET Framework languages, the Extreme Optimization Numerical Libraries for .NET provide the reliable foundation and the building blocks developers need.

Product Overview

The Extreme Optimization Numerical Libraries for .NET combine three libraries in one. The types are organized in a consistent namespace hierarchy.

Library Description
Mathematics Library Rooted in the Extreme.Mathematics namespace, this library contains classes for complex numbers, curve fitting, solving equations, optimization in one or more dimensions and 'special functions' like Bessel functions.
Vector and Matrix Library Rooted in the Extreme.Mathematics.LinearAlgebra namespace, this library contains classes for real and complex vectors and matrices, and matrix decompositions. These classes are used extensively by the other libraries.
Statistics Library Rooted in the Extreme.Statistics namespace, this library contains classes for statistical calculations, including linear, nonlinear, and logistic regression, analysis of variance, time series analysis, statistical distributions, hypothesis tests and random number generation.

System Requirements

The Extreme Optimization Numerical Libraries for .NET require the .NET framework Version 2.0 to be installed on your system. The .NET framework is available for download from the Microsoft web site at

http://msdn.microsoft.com/netframework/howtoget/Default.htm.

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"The Extreme Optimization Statistics Library for .NET is a major boon for those doing statistical work in .NET. I strongly recommend this product."
- Marc Brooks

"I have made it my mission to institutionalize the value of good API design.  I strongly believe that this is key to making developers more productive and happy on our platform. It is clear that you value good API design in your work, and take to heart developer productivity and synergy with the .NET framework."
- Brad Abrams,
Lead Program Manager, Microsoft.

This is a partial list of companies who are using our libraries:
ABB Robotics
Allstate
Applied Materials
Arcam
Astra Schedule
Babson College
Canadian Council on Learning
Canyon Associates
Caxton Associates
CECity
Constellation Energy
CreditSights
DeepOcean
Duke University
Dynamotive
Elecsoft
Engelhard Corporation
Epcor
Equipoise Software
Galileo International
GAM UK
Gammex
GlaxoSmithKline
Global Matrix
The Hartford
Infinera Corporation
Intel
JDS Uniphase
LaBranche & Co.
Learning & Skills Council
Jacobs Consultancy
Litman Gregory
Lucas Systems
Malvern Instruments
Medrio
Merck & Co.
Mintera.
Monitor Software
MorningStar
NanoString Technologies
Paletta Invent
Parametric Portfolio Associates
Prosanos
RATA Associates
RiskShield
Ramboll
Standard & Poor's
Strategic Analysis Corporation
Univ. of Alicante
Univ. of South Carolina
vielife
Xerox
US Army