MathNet.Numerics.FSharp.Signed
3.10.0
Prefix Reserved
See the version list below for details.
dotnet add package MathNet.Numerics.FSharp.Signed --version 3.10.0
NuGet\Install-Package MathNet.Numerics.FSharp.Signed -Version 3.10.0
<PackageReference Include="MathNet.Numerics.FSharp.Signed" Version="3.10.0" />
<PackageVersion Include="MathNet.Numerics.FSharp.Signed" Version="3.10.0" />
<PackageReference Include="MathNet.Numerics.FSharp.Signed" />
paket add MathNet.Numerics.FSharp.Signed --version 3.10.0
#r "nuget: MathNet.Numerics.FSharp.Signed, 3.10.0"
#addin nuget:?package=MathNet.Numerics.FSharp.Signed&version=3.10.0
#tool nuget:?package=MathNet.Numerics.FSharp.Signed&version=3.10.0
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 (= 3.10.0)
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 | 1,013 | 11/11/2018 |
4.6.0 | 942 | 10/19/2018 |
4.5.0 | 1,257 | 5/22/2018 |
4.4.1 | 1,238 | 5/6/2018 |
3.20.2 | 9,449 | 1/22/2018 |
3.20.1 | 1,251 | 1/13/2018 |
3.20.0 | 1,299 | 7/15/2017 |
3.20.0-beta01 | 922 | 5/31/2017 |
3.19.0 | 1,196 | 4/29/2017 |
3.18.0 | 1,178 | 4/9/2017 |
3.17.0 | 1,240 | 1/15/2017 |
3.16.0 | 1,171 | 1/3/2017 |
3.15.0 | 1,198 | 12/27/2016 |
3.14.0-beta03 | 982 | 11/20/2016 |
3.14.0-beta02 | 960 | 11/15/2016 |
3.14.0-beta01 | 950 | 10/30/2016 |
3.13.1 | 1,239 | 9/6/2016 |
3.13.0 | 1,168 | 8/18/2016 |
3.12.0 | 1,264 | 7/3/2016 |
3.11.1 | 1,525 | 4/24/2016 |
3.11.0 | 1,529 | 2/13/2016 |
3.10.0 | 1,359 | 12/30/2015 |
3.9.0 | 1,431 | 11/25/2015 |
3.8.0 | 1,371 | 9/26/2015 |
3.7.1 | 1,371 | 9/21/2015 |
3.7.0 | 1,500 | 5/9/2015 |
3.6.0 | 1,565 | 3/22/2015 |
3.5.0 | 1,479 | 1/10/2015 |
3.4.0 | 1,324 | 1/4/2015 |
3.3.0 | 1,470 | 11/26/2014 |
3.3.0-beta2 | 1,218 | 10/25/2014 |
3.3.0-beta1 | 1,116 | 9/28/2014 |
3.2.3 | 1,532 | 9/6/2014 |
3.2.2 | 1,349 | 9/5/2014 |
3.2.1 | 1,384 | 8/5/2014 |
3.2.0 | 1,343 | 8/5/2014 |
3.1.0 | 1,373 | 7/20/2014 |
3.0.2 | 1,378 | 6/26/2014 |
3.0.1 | 1,365 | 6/24/2014 |
3.0.0 | 1,346 | 6/21/2014 |
3.0.0-beta05 | 1,103 | 6/20/2014 |
3.0.0-beta04 | 1,125 | 6/15/2014 |
3.0.0-beta03 | 1,142 | 6/5/2014 |
3.0.0-beta02 | 1,121 | 5/29/2014 |
3.0.0-beta01 | 1,321 | 4/14/2014 |
3.0.0-alpha9 | 1,204 | 3/29/2014 |
3.0.0-alpha8 | 1,183 | 2/26/2014 |
3.0.0-alpha7 | 1,096 | 12/30/2013 |
3.0.0-alpha6 | 1,156 | 12/2/2013 |
3.0.0-alpha5 | 1,239 | 10/2/2013 |
Statistics: single-precision floating point support.
Statistics: very limited support for int32 and complex numbers.
Statistics: Min/Max Absolute, MagnitudePhase (complex).
Statistics: FiveNumberSummary to use actual Median instead of R8 quantile.
Linear Algebra: matrix Rank to use relative epsilon.
Linera Algebra: extensions to convert between single/double precision, complex/real.
Linear Algebra: Vector/Matrix storage DataContracts for ephemeral serialization.
Regression: more helpful exceptions and messages.
Random: 'Next' integer sampling no longer involves floating points, avoids one-off error in MersenneTwister.
Precision: EpsilonOf for single-precision numbers, drop no longer needed portable fallbacks.