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Math.NET Numerics

Math.NET Numerics is an open-source numerical library for.NET and Mono, written in C# and F#. ^[1]

30 relations: ALGLIB, Basic Linear Algebra Subprograms, Bessel function, Beta function, Boost (C++ libraries), C Sharp (programming language), Cholesky decomposition, Common Language Runtime, Complex number, Cross-platform software, DnAnalytics, Eigendecomposition of a matrix, Error function, F Sharp (programming language), Gamma function, JAMA (numerical linear algebra library), LAPACK, List of numerical libraries, List of numerical-analysis software, LU decomposition, Markov chain Monte Carlo, Mersenne Twister, Microsoft .NET strategy, MIT License, Mono (software), Open-source software, Pearson correlation coefficient, QR decomposition, Singular value decomposition, Struve function.
C Sharp libraries

ALGLIB

ALGLIB is a cross-platform open source numerical analysis and data processing library.

Basic Linear Algebra Subprograms

Basic Linear Algebra Subprograms (BLAS) is a specification that prescribes a set of low-level routines for performing common linear algebra operations such as vector addition, scalar multiplication, dot products, linear combinations, and matrix multiplication. Math.NET Numerics and Basic Linear Algebra Subprograms are numerical software.

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Bessel function

Bessel functions, first defined by the mathematician Daniel Bernoulli and then generalized by Friedrich Bessel, are canonical solutions of Bessel's differential equation x^2 \frac + x \frac + \left(x^2 - \alpha^2 \right)y.

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Beta function

In mathematics, the beta function, also called the Euler integral of the first kind, is a special function that is closely related to the gamma function and to binomial coefficients.

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Boost (C++ libraries)

Boost is a set of libraries for the C++ programming language that provides support for tasks and structures such as linear algebra, pseudorandom number generation, multithreading, image processing, regular expressions, and unit testing.

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C Sharp (programming language)

C# is a general-purpose high-level programming language supporting multiple paradigms.

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Cholesky decomposition

In linear algebra, the Cholesky decomposition or Cholesky factorization (pronounced) is a decomposition of a Hermitian, positive-definite matrix into the product of a lower triangular matrix and its conjugate transpose, which is useful for efficient numerical solutions, e.g., Monte Carlo simulations.

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Common Language Runtime

The Common Language Runtime (CLR), the virtual machine component of Microsoft.NET Framework, manages the execution of.NET programs.

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Complex number

In mathematics, a complex number is an element of a number system that extends the real numbers with a specific element denoted, called the imaginary unit and satisfying the equation i^.

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Cross-platform software

In computing, cross-platform software (also called multi-platform software, platform-agnostic software, or platform-independent software) is computer software that is designed to work in several computing platforms.

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DnAnalytics

dnAnalytics was an open-source numerical library for.NET written in C# and F#. Math.NET Numerics and DnAnalytics are numerical software.

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Eigendecomposition of a matrix

In linear algebra, eigendecomposition is the factorization of a matrix into a canonical form, whereby the matrix is represented in terms of its eigenvalues and eigenvectors.

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Error function

In mathematics, the error function (also called the Gauss error function), often denoted by, is a function defined as: \operatorname z.

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F Sharp (programming language)

F# (pronounced F sharp) is a general-purpose, high-level, strongly typed, multi-paradigm programming language that encompasses functional, imperative, and object-oriented programming methods.

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Gamma function

In mathematics, the gamma function (represented by, the capital letter gamma from the Greek alphabet) is one commonly used extension of the factorial function to complex numbers.

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JAMA (numerical linear algebra library)

JAMA is a software library for performing numerical linear algebra tasks created at National Institute of Standards and Technology in 1998 similar in functionality to LAPACK. Math.NET Numerics and JAMA (numerical linear algebra library) are numerical software.

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LAPACK

LAPACK ("Linear Algebra Package") is a standard software library for numerical linear algebra. Math.NET Numerics and LAPACK are numerical software.

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List of numerical libraries

This is a list of numerical libraries, which are libraries used in software development for performing numerical calculations. Math.NET Numerics and list of numerical libraries are numerical software.

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List of numerical-analysis software

Listed here are notable end-user computer applications intended for use with numerical or data analysis. Math.NET Numerics and List of numerical-analysis software are numerical software.

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LU decomposition

In numerical analysis and linear algebra, lower–upper (LU) decomposition or factorization factors a matrix as the product of a lower triangular matrix and an upper triangular matrix (see matrix decomposition).

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Markov chain Monte Carlo

In statistics, Markov chain Monte Carlo (MCMC) is a class of algorithms used to draw samples from a probability distribution.

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Mersenne Twister

The Mersenne Twister is a general-purpose pseudorandom number generator (PRNG) developed in 1997 by and.

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Microsoft .NET strategy

The Microsoft.NET strategy is a marketing plan that Microsoft followed in the early 2000s.

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MIT License

The MIT License is a permissive software license originating at the Massachusetts Institute of Technology (MIT) in the late 1980s.

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Mono (software)

Mono is a free and open-source.NET Framework-compatible software framework.

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Open-source software

Open-source software (OSS) is computer software that is released under a license in which the copyright holder grants users the rights to use, study, change, and distribute the software and its source code to anyone and for any purpose.

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Pearson correlation coefficient

In statistics, the Pearson correlation coefficient (PCC) is a correlation coefficient that measures linear correlation between two sets of data.

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QR decomposition

In linear algebra, a QR decomposition, also known as a QR factorization or QU factorization, is a decomposition of a matrix A into a product A.

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Singular value decomposition

In linear algebra, the singular value decomposition (SVD) is a factorization of a real or complex matrix into a rotation, followed by a rescaling followed by another rotation.

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Struve function

In mathematics, the Struve functions, are solutions of the non-homogeneous Bessel's differential equation: introduced by.

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References

[1] https://en.wikipedia.org/wiki/Math.NET_Numerics

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