MathNet.Numerics.FSharp
                              
                            
                                3.6.0
                            
                        
                    dotnet add package MathNet.Numerics.FSharp --version 3.6.0
NuGet\Install-Package MathNet.Numerics.FSharp -Version 3.6.0
<PackageReference Include="MathNet.Numerics.FSharp" Version="3.6.0" />
<PackageVersion Include="MathNet.Numerics.FSharp" Version="3.6.0" />
<PackageReference Include="MathNet.Numerics.FSharp" />
paket add MathNet.Numerics.FSharp --version 3.6.0
#r "nuget: MathNet.Numerics.FSharp, 3.6.0"
#:package MathNet.Numerics.FSharp@3.6.0
#addin nuget:?package=MathNet.Numerics.FSharp&version=3.6.0
#tool nuget:?package=MathNet.Numerics.FSharp&version=3.6.0
Math.NET Numerics is the numerical foundation of the Math.NET project, aiming to provide methods and algorithms for numerical computations in science, engineering and every day use. Supports F# 3.0 on .Net 4.0, .Net 3.5 and Mono on Windows, Linux and Mac; Silverlight 5 and Windows 8 with PCL portable profile 47; Android/iOS with Xamarin.
| Product | Versions Compatible and additional computed target framework versions. | 
|---|---|
| .NET Framework | net35 is compatible. 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. | 
- 
                                                
- FSharp.Core (>= 3.1.2.1)
 - MathNet.Numerics (= 3.6.0)
 
 
GitHub repositories (4)
Showing the top 4 popular GitHub repositories that depend on MathNet.Numerics.FSharp:
| Repository | Stars | 
|---|---|
| 
                                                        
                                                            StockSharp/StockSharp
                                                        
                                                         
                                                            Algorithmic trading and quantitative trading open source platform to develop trading robots (stock markets, forex, crypto, bitcoins, and options).
                                                         
                                                     | 
                                                    |
| 
                                                        
                                                            mathnet/mathnet-numerics
                                                        
                                                         
                                                            Math.NET Numerics
                                                         
                                                     | 
                                                    |
| 
                                                        
                                                            NethermindEth/nethermind
                                                        
                                                         
                                                            A robust execution client for Ethereum node operators.
                                                         
                                                     | 
                                                    |
| 
                                                        
                                                            lornshrimp/Lorn.ADSP
                                                        
                                                         
                                                            这是一个开源的互联网在线广告投放系统。该系统可用于网站、视频播放的所有页面广告、视频广告以及无线客户端、TV广告的管理、播放、定向和统计,包括了业务管理、售前计划管理、广告活动管理、广告引擎、播放器内广告、展示广告、数据及商业智能、人群定向、第三方广告管理等几大模块。采用C#和F#编写而成,并可部署于多种云上。
                                                         
                                                     | 
                                                    
| Version | Downloads | Last Updated | 
|---|---|---|
| 3.6.0 | 789 | 3/22/2015 | 
| 3.5.0 | 1,693 | 1/10/2015 | 
| 3.4.0 | 117 | 1/4/2015 | 
| 3.3.0 | 976 | 11/26/2014 | 
| 3.3.0-beta2 | 66 | 10/25/2014 | 
| 3.3.0-beta1 | 65 | 9/28/2014 | 
| 3.2.3 | 686 | 9/6/2014 | 
| 3.2.2 | 71 | 9/5/2014 | 
| 3.2.1 | 216 | 8/5/2014 | 
| 3.2.0 | 58 | 8/5/2014 | 
| 3.1.0 | 2,402 | 7/20/2014 | 
| 3.0.2 | 337 | 6/26/2014 | 
| 3.0.1 | 65 | 6/24/2014 | 
| 3.0.0 | 435 | 6/21/2014 | 
| 3.0.0-beta05 | 58 | 6/20/2014 | 
| 3.0.0-beta04 | 50 | 6/15/2014 | 
| 3.0.0-beta03 | 48 | 6/5/2014 | 
| 3.0.0-beta02 | 51 | 5/29/2014 | 
| 3.0.0-beta01 | 136 | 4/14/2014 | 
| 3.0.0-alpha9 | 51 | 3/29/2014 | 
| 3.0.0-alpha8 | 48 | 2/26/2014 | 
| 3.0.0-alpha7 | 49 | 12/30/2013 | 
| 3.0.0-alpha6 | 57 | 12/2/2013 | 
| 3.0.0-alpha5 | 65 | 10/2/2013 | 
| 3.0.0-alpha4 | 51 | 9/22/2013 | 
| 3.0.0-alpha1 | 47 | 9/1/2013 | 
| 2.6.0 | 1,739 | 7/26/2013 | 
| 2.5.0 | 115 | 4/14/2013 | 
| 2.4.0 | 56 | 2/3/2013 | 
| 2.3.0 | 66 | 11/25/2012 | 
| 2.2.1 | 54 | 8/29/2012 | 
| 2.2.0 | 56 | 8/27/2012 | 
| 2.1.2 | 122 | 10/9/2011 | 
| 2.1.1 | 56 | 10/3/2011 | 
| 2.1.0.19 | 57 | 10/3/2011 | 
Distributions: ChiSquare.CDF more robust for large numbers ~Baltazar Bieniek
Linear Algebra: MatrixStorage.Map2 equivalent to VectorStorage.Map2
Linear Algebra: Matrix and Vector Find/Find2, Exists/Exists2, ForAll/ForAll2
Linear Algebra: more consistent range checking in MatrixStorage.Clear and related
Linear Algebra: mixed-storage fall back implementations now leverage higher-order functions
BUG: Linear Algebra: fix loop range in MatrixStorage.ClearColumns (built-in storage not affected)
BUG: Linear Algebra: fix sparse matrix equality.
BUG: Linear Algebra: ArgumentException instead of index exception when trying to create an empty matrix.
Generate: Unfold, Fibonacci; Normal and Standard replacing Gaussian and Stable.
Native Providers: NativeProviderLoader to automatically load the provider for the matching processor architecture (x86, x64) ~Kuan Bartel
Native Providers: Control.NativeProviderPath allowing to explicitly declare where to load binaries from.
MKL Native Provider: support for native complex eigen-value decomposition ~Marcus Cuda
MKL Native Provider: non-convergence checks in singular-value and eigen-value decompositions ~Marcus Cuda