MathNet.Numerics.FSharp.Signed
3.13.0
Prefix Reserved
See the version list below for details.
dotnet add package MathNet.Numerics.FSharp.Signed --version 3.13.0
NuGet\Install-Package MathNet.Numerics.FSharp.Signed -Version 3.13.0
<PackageReference Include="MathNet.Numerics.FSharp.Signed" Version="3.13.0" />
<PackageVersion Include="MathNet.Numerics.FSharp.Signed" Version="3.13.0" />
<PackageReference Include="MathNet.Numerics.FSharp.Signed" />
paket add MathNet.Numerics.FSharp.Signed --version 3.13.0
#r "nuget: MathNet.Numerics.FSharp.Signed, 3.13.0"
#addin nuget:?package=MathNet.Numerics.FSharp.Signed&version=3.13.0
#tool nuget:?package=MathNet.Numerics.FSharp.Signed&version=3.13.0
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 .Net 4.0.
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. |
-
- FSharp.Core (>= 3.1.2.5)
- MathNet.Numerics.Signed (= 3.13.0)
NuGet packages
This package is not used by any NuGet packages.
GitHub repositories
This package is not used by any popular GitHub repositories.
Version | Downloads | Last updated |
---|---|---|
5.0.0 | 1,707 | 4/3/2022 |
5.0.0-beta02 | 214 | 4/3/2022 |
5.0.0-beta01 | 200 | 3/6/2022 |
5.0.0-alpha16 | 212 | 2/27/2022 |
5.0.0-alpha15 | 220 | 2/27/2022 |
5.0.0-alpha14 | 218 | 2/27/2022 |
5.0.0-alpha11 | 222 | 2/27/2022 |
5.0.0-alpha10 | 206 | 2/19/2022 |
5.0.0-alpha09 | 212 | 2/13/2022 |
5.0.0-alpha08 | 225 | 12/23/2021 |
5.0.0-alpha07 | 212 | 12/19/2021 |
5.0.0-alpha06 | 232 | 12/19/2021 |
5.0.0-alpha05 | 219 | 12/19/2021 |
5.0.0-alpha04 | 236 | 12/19/2021 |
5.0.0-alpha03 | 220 | 12/5/2021 |
5.0.0-alpha02 | 270 | 7/11/2021 |
5.0.0-alpha01 | 356 | 6/27/2021 |
4.15.0 | 776 | 1/7/2021 |
4.14.0 | 622 | 1/1/2021 |
4.13.0 | 481 | 12/30/2020 |
4.12.0 | 706 | 8/2/2020 |
4.11.0 | 833 | 5/24/2020 |
4.10.0 | 657 | 5/24/2020 |
4.9.1 | 663 | 4/12/2020 |
4.9.0 | 687 | 10/13/2019 |
4.8.1 | 761 | 6/11/2019 |
4.8.0 | 739 | 6/2/2019 |
4.8.0-beta02 | 541 | 5/30/2019 |
4.8.0-beta01 | 563 | 4/28/2019 |
4.7.0 | 1,012 | 11/11/2018 |
4.6.0 | 941 | 10/19/2018 |
4.5.0 | 1,255 | 5/22/2018 |
4.4.1 | 1,236 | 5/6/2018 |
3.20.2 | 9,447 | 1/22/2018 |
3.20.1 | 1,249 | 1/13/2018 |
3.20.0 | 1,297 | 7/15/2017 |
3.20.0-beta01 | 920 | 5/31/2017 |
3.19.0 | 1,194 | 4/29/2017 |
3.18.0 | 1,176 | 4/9/2017 |
3.17.0 | 1,238 | 1/15/2017 |
3.16.0 | 1,169 | 1/3/2017 |
3.15.0 | 1,196 | 12/27/2016 |
3.14.0-beta03 | 980 | 11/20/2016 |
3.14.0-beta02 | 958 | 11/15/2016 |
3.14.0-beta01 | 948 | 10/30/2016 |
3.13.1 | 1,237 | 9/6/2016 |
3.13.0 | 1,166 | 8/18/2016 |
3.12.0 | 1,262 | 7/3/2016 |
3.11.1 | 1,523 | 4/24/2016 |
3.11.0 | 1,527 | 2/13/2016 |
3.10.0 | 1,357 | 12/30/2015 |
3.9.0 | 1,429 | 11/25/2015 |
3.8.0 | 1,369 | 9/26/2015 |
3.7.1 | 1,369 | 9/21/2015 |
3.7.0 | 1,498 | 5/9/2015 |
3.6.0 | 1,563 | 3/22/2015 |
3.5.0 | 1,477 | 1/10/2015 |
3.4.0 | 1,322 | 1/4/2015 |
3.3.0 | 1,468 | 11/26/2014 |
3.3.0-beta2 | 1,216 | 10/25/2014 |
3.3.0-beta1 | 1,114 | 9/28/2014 |
3.2.3 | 1,530 | 9/6/2014 |
3.2.2 | 1,347 | 9/5/2014 |
3.2.1 | 1,382 | 8/5/2014 |
3.2.0 | 1,341 | 8/5/2014 |
3.1.0 | 1,371 | 7/20/2014 |
3.0.2 | 1,376 | 6/26/2014 |
3.0.1 | 1,363 | 6/24/2014 |
3.0.0 | 1,344 | 6/21/2014 |
3.0.0-beta05 | 1,101 | 6/20/2014 |
3.0.0-beta04 | 1,123 | 6/15/2014 |
3.0.0-beta03 | 1,140 | 6/5/2014 |
3.0.0-beta02 | 1,119 | 5/29/2014 |
3.0.0-beta01 | 1,319 | 4/14/2014 |
3.0.0-alpha9 | 1,202 | 3/29/2014 |
3.0.0-alpha8 | 1,181 | 2/26/2014 |
3.0.0-alpha7 | 1,094 | 12/30/2013 |
3.0.0-alpha6 | 1,154 | 12/2/2013 |
3.0.0-alpha5 | 1,237 | 10/2/2013 |
Linear Algebra: faster tall, wide managed matrix multiplication. ~Aixile
Euclid: Integer Log2 (DeBruijn sequencences algorithm).
Integration: Gauss-Legendre documentation, cleanup. ~Larz White
Random: Integer sub-range sampling to use rejection sampling to avoid bias.
Random: Improvements on integer and byte sampling.
BUG: Random: CryptoRandomSource must not generate 1.0 samples.
BUG: Statistics: fixed bug in WeightedPearson Correlation. ~Jon Smit