centerspace/CenterSpace.NMath.Standard.Linux.X64v7.4.2.16
.NET Std2.0
Foundational classes for financial, engineering, and scientific applications, including complex number classes, general vector and matrix classes, structured sparse matrix classes and factorizations, general sparse matrix classes and factorizations, general matrix decompositions, least squares solutions, random number generators, Fast Fourier Transforms (FFTs), numerical integration and differentiation methods, function minimization, curve fitting, root-finding, linear and nonlinear programming. This package also provides functions for statistical computation and biostatistics, including descriptive statistics, probability distributions, combinatorial functions, multiple linear regression, hypothesis testing, analysis of variance, multivariate statistics, partial least squares, and nonnegative matrix factorization. Built on .NET Standard 2.0. Requires a minimum of .NET Standard 2.0, .NET 5, .NET Core 2.0 or .NET Framework 4.6.1. Requires libgcc linux. Requires x64 hardware.
Get Started
$ dotnet add package CenterSpace.NMath.Standard.Linux.X64Readme
README
NMath 7.4
February 2026 CenterSpace Software, LLC
Contents
- Introduction
- Contact Information
- Documentation
- Code Examples
- Licensing
- Technical Support
- Consulting Services
- Upgrades
Introduction
This package is built as .NET Standard 2.0 which means it can be consumed by any of these projects:
.NET Standard 2.0or higher.NET Framework 4.6.1or higher.NET Core 2.0or higher.NET 5.0or higher
If you have an older environment, please look at NMath 6.2.
This package contains foundational classes for object-oriented numerics on the .NET platform. NMath includes complex number classes, general vector and matrix classes, structured sparse matrix classes and factorizations, general sparse matrix classes and factorizations, general matrix decompositions, least squares solutions, random number generators, Fast Fourier Transforms (FFTs), numerical integration and differentiation methods, function minimization, curve fitting, root-finding, linear and nonlinear programming.
Contact Information
CenterSpace Software
PO Box 2664
Corvallis, OR 97339
USA
Web: https://www.centerspace.net
Information: info@centerspace.net
Sales: sales@centerspace.net
Support: support@centerspace.net
Documentation
Getting Started. Check out our .