The Extreme Optimization Numerical Libraries for .NET are 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.
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 User's Guide |
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 User's Guide |
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.
|
Data Analysis Library User's Guide |
Rooted in the Extreme.DataAnalysis
namespace, this library contains classes for working with
data frames, including data wrangling, grouping and aggregation.
These classes are used extensively by the statistics library.
|
Statistics Library User's Guide |
Rooted in the Extreme.Statistics namespace,
this library builds on the data analysis library and contains classes
for creating and working with statistical models and performing
statistical analysis.
|
Data Access Library User's Guide |
Rooted in the Extreme.Data namespace,
this library provides classes for reading and writing data frames, vectors and matrices
from a large variety of data sources.
|
The Extreme Optimization Numerical Libraries for .NET require
the .NET framework Version 3.5 or later to be installed on your system.
The .NET framework is available for download from the Microsoft web site at