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Extreme Numerics.NET
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BUILD FINANCIAL, ENGINEERING AND SCIENTIFIC APPLICATIONS FASTER

Numerics.NET (formerly Extreme Optimization Numerical Libraries for .NET) is a
collection of general-purpose mathematical and statistical classes built for
Microsoft .NET.

Numerics.NET provides the first complete platform for technical and statistical
computing built on and for the Microsoft .NET platform. It combines a math
library, a vector and matrix library, a data analysis library, and a statistics
library in one convenient package.


AT A GLANCE:PERMALINK


MATHEMATICSPERMALINK

 * Seamless parallelism using the Task Parallel Library.
 * Basic math: Complex numbers, Decimal math, 'special functions' like Gamma and
   Bessel functions, numerical differentiation.
 * Automatic differentiation: eliminate tedious and error-prone manual
   derivative calculations.
 * Solving equations: Solve equations in one variable, or solve systems of
   linear or nonlinear equations.
 * Curve fitting: Linear and nonlinear curve fitting, cubic splines,
   polynomials, orthogonal polynomials.
 * Optimization: State of the art algorithms for finding the minimum or maximum
   of a function in one or more variables, linear programming (LP), mixed
   integer programming (MIP), quadratic programming (QP) and nonlinear
   programming (NLP).
 * Genetic Optimization: Flexible framework for finding good solutions to hard
   problems.
 * Numerical integration: Compute integrals over finite or infinite intervals.
   Integrate over 2D and higher dimensional regions. Integrate systems of
   ordinary differential equations (ODE's).
 * Fast Fourier Transforms: 1D and 2D FFT’s using 100% managed or fast native
   code (32 and 64 bit)
 * BigInteger, BigRational, and BigFloat: Perform operations with arbitrary
   precision.
 * Generic arithmetic framework: Write the code once and use it with any
   numerical type.
 * Random numbers: Random variates from any distribution, 4 high-quality random
   number generators, low discrepancy sequences, shufflers.

More math library features… QuickStart samples…


VECTOR AND MATRIX LIBRARYPERMALINK

 * Real and complex vectors and matrices.
 * Single, double and quadruple precision for elements.
 * Structured matrix types: including triangular, symmetrical and band matrices.
 * Sparse matrices.
 * Iterative sparse solvers and preconditioners.
 * Matrix factorizations: LU decomposition, QR decomposition, singular value
   decomposition, Cholesky decomposition, eigenvalue decomposition.
 * Portability and performance: Calculations can be done in 100% managed code,
   or in hand-optimized processor-specific native code (32 and 64 bit).
 * Generic library: Use built-in .NET types or any of the new arbitrary
   precision types to do matrix calculations.
 * Row and column labels: Add labels to your data and take advantage of
   automatic alignment on labels.

More Vector and Matrix library features… QuickStart samples…


DATA ANALYSISPERMALINK

 * Data frame: Advanced data analysis, manipulation and transformation.
 * Data munging: Sort and filter data, process missing values, remove outliers,
   etc. Supports .NET data binding.
 * Data manipulation: Reshape data frames, database-like joins, join to nearest,
   stacking and unstacking.
 * Grouping and Aggregation: Efficient aggregation over groupings by value or
   quantile, moving and expanding windows, partitions.

More Data Analysis library features… QuickStart samples…


STATISTICSPERMALINK

 * Statistical Models: Simple, multiple, nonlinear, logistic, Poisson
   regression. Generalized Linear Models. One and two-way ANOVA.
 * Time Series Models: ARIMA and GARCH.
 * Multivariate Statistics: K-means cluster analysis, hierarchical cluster
   analysis, principal component analysis (PCA), factor analysis.
 * Statistical Distributions: 39 45 continuous and discrete statistical
   distributions, including uniform, Poisson, normal, lognormal, Weibull and
   Gumbel (extreme value) distributions and various multivariate distributions.
 * Hypothesis Tests: 15 hypothesis tests, including the z-test, t-test, F-test,
   runs test, and more advanced tests, such as the Anderson-Darling test for
   normality, one and two-sample Kolmogorov-Smirnov test, and Levene’s test for
   homogeneity of variances, Ljung-Box test for auto-correlation, Kruskal-Wallis
   test.

More Statistics library features… QuickStart samples…


GENERAL FEATURESPERMALINK

 * Parallel computing. Take advantage of all the CPU and GPU power in your
   machine. Full support for Task Parallel Library features including
   cancellation. Support for CUDA based GPU calculations.
 * Great performance. We implemented the best algorithms available today to
   provide you with a robust, fast toolset.
 * Intuitive object model. The classes in Extreme Numerics.NET and the
   relationships between them match our every-day concepts.
 * Ground-breaking usability for numerical software development. The math itself
   is hard enough.

 * Broad base of algorithms covering a wide range of numerical techniques,
   including: linear algebra (BLAS and LAPACK routines), numerical integration
   and differentiation, solving equations, complex numbers, and more.
   
   Whether you develop applications in C#, Visual Basic .NET, F#, C++/CLI,
   IronPython or any of the other .NET Framework languages, Numerics.NET
   provides the reliable foundation and the building blocks developers need.

See what’s new in the latest version.

A fully functional 30 day trial version is now available. get it from Nuget, or
order today.



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