Please switch to one of the NMath.Standard packages.
See the version list below for details.
dotnet add package CenterSpace.NMath --version 22.214.171.124
NuGet\Install-Package CenterSpace.NMath -Version 126.96.36.199
<PackageReference Include="CenterSpace.NMath" Version="188.8.131.52" />
paket add CenterSpace.NMath --version 184.108.40.206
#r "nuget: CenterSpace.NMath, 220.127.116.11"
// Install CenterSpace.NMath as a Cake Addin #addin nuget:?package=CenterSpace.NMath&version=18.104.22.168 // Install CenterSpace.NMath as a Cake Tool #tool nuget:?package=CenterSpace.NMath&version=22.214.171.124
If you're targeting .NET Framework (4.6.1 or greater) or .NET Core (2.0 or greater), we recommend switching to one of our NMath 7.0 versions. They're simpler and easier to use. We have three options: Windows, Linux, OSX. All are 64-bit only. More information
|Product||Versions Compatible and additional computed target framework versions.|
|.NET Framework||net40 is compatible. net403 was computed. net45 was computed. net451 was computed. net452 was computed. net46 was computed. net461 was computed. net462 was computed. net463 was computed. net47 was computed. net471 was computed. net472 was computed. net48 was computed. net481 was computed.|
- Microsoft.Solver.Foundation (>= 3.1.0)
NuGet packages (2)
Showing the top 2 NuGet packages that depend on CenterSpace.NMath:
Classes for data manipulation and statistical computation, including descriptive statistics, probability distributions, combinatorial functions, multiple linear regression, hypothesis testing, analysis of variance, multivariate statistics, partial least squares, and nonnegative matrix factorization.
Charting for CenterSpace.NMath types using the Microsoft Chart Controls for .NET, creating a complete data analysis and visualization solution.
This package is not used by any popular GitHub repositories.
Version 126.96.36.199 switches from 2013 C++ runtime to 2017 C++ runtime.
Version 6.2 adds classes for performing Discrete Wavelet Transforms (DWTs) using most
common wavelet families, including Harr, Daubechies, Symlet, Best Localized,
and Coiflet, for solving stiff and non-stiff ordinary differential equations, for finding
peaks subject to rules about peak height and peak separation (analogous to MATLAB's findpeaks()
function), and for finding roots of univariate functions using the zeroin() root finder
(similar to MATLAB's fzero() function).