Top 10 Numerical Libraries For C#

C# doesn’t require any interlocution. This easy, contemporary, object-oriented, general purpose programming language gets built on syntax as well as semantic in C++, which enables C programmers leverage on .NET too.

Table of Contents

1 SuanShu
2 NI Measurement Studio
3 IMSL Numerical Libraries
4 NMath
5 ILNumerics
6 NLinear
7 Math.NET
8 ALGLIB

SuanShu

This mathematic library consisting of mathematical methods useful in numerical analysis. SuanShu enables engineers develop high quality resolutions for numerical problems quickly. The tool ensures that you take little time in producing well-designed, object-oriented algorithm that is properly tuned with few bugs allowing it run faster.

NI Measurement Studio

This .NET suite is the only one developed for creating engineering apps using Visual Studio in order to gather, analyze, and present measurement data.

IMSL Numerical Libraries

IMSL Numerical Libraries provide the main compilation of commercial-accessible statistical and mathematical functions useful in data mining as well as analysis. Its embeddable methods are useful in various applications in several industries.

NMath

This .NET mathematics library has fundamental classes useful in object-oriented numeric within .NET framework.

ILNumerics

This being an increased performance mathematics library is useful to scientists and programmers. This extends .NET frame through tools necessary in scientific computing, eases implementation of various numerical algorithms through suitable and common math syntax that is optimized to FORTRAN and C speed.

NLinear

This is a toolkit for general linear algebra developed in C# and attuned to Silver light. The library offers fundamental linear algebra methodologies for .NET framework. This general library is developed to function with various numeric forms (double, float, etc)

Math.NET

This library aims at providing algorithms and methods useful in numerical computations within engineering, science and daily use. Topic covered includes linear algebra, special functions random numbers, probability models, optimization problems, regression, and interpolation among others.

ALGLIB

This is a Multiplatform data processing and numerical analysis library. ALGLIB supports various programming languages (VBA,C#, Pascal, C++) and various OSs (Solaris, Linux, Windows).