MathNet.Numerics.Data.Text 5.0.0-alpha12

The ID prefix of this package has been reserved for one of the owners of this package by Prefix Reserved
.NET 5.0 .NET Standard 2.0 .NET Framework 4.6.1
This is a prerelease version of MathNet.Numerics.Data.Text.
There is a newer version of this package available.
See the version list below for details.
dotnet add package MathNet.Numerics.Data.Text --version 5.0.0-alpha12
NuGet\Install-Package MathNet.Numerics.Data.Text -Version 5.0.0-alpha12
This command is intended to be used within the Package Manager Console in Visual Studio, as it uses the NuGet module's version of Install-Package.
<PackageReference Include="MathNet.Numerics.Data.Text" Version="5.0.0-alpha12" />
For projects that support PackageReference, copy this XML node into the project file to reference the package.
paket add MathNet.Numerics.Data.Text --version 5.0.0-alpha12
#r "nuget: MathNet.Numerics.Data.Text, 5.0.0-alpha12"
#r directive can be used in F# Interactive and Polyglot Notebooks. Copy this into the interactive tool or source code of the script to reference the package.
// Install MathNet.Numerics.Data.Text as a Cake Addin
#addin nuget:?package=MathNet.Numerics.Data.Text&version=5.0.0-alpha12&prerelease

// Install MathNet.Numerics.Data.Text as a Cake Tool
#tool nuget:?package=MathNet.Numerics.Data.Text&version=5.0.0-alpha12&prerelease

Text Data Input/Output Extensions for Math.NET Numerics, the numerical foundation of the Math.NET project, aiming to provide methods and algorithms for numerical computations in science, engineering and every day use.

Product Compatible and additional computed target framework versions.
.NET net5.0 is compatible.  net5.0-windows was computed.  net6.0 was computed.  net6.0-android was computed.  net6.0-ios was computed.  net6.0-maccatalyst was computed.  net6.0-macos was computed.  net6.0-tvos was computed.  net6.0-windows was computed.  net7.0 was computed.  net7.0-android was computed.  net7.0-ios was computed.  net7.0-maccatalyst was computed.  net7.0-macos was computed.  net7.0-tvos was computed.  net7.0-windows was computed. 
.NET Core netcoreapp2.0 was computed.  netcoreapp2.1 was computed.  netcoreapp2.2 was computed.  netcoreapp3.0 was computed.  netcoreapp3.1 was computed. 
.NET Standard netstandard2.0 is compatible.  netstandard2.1 was computed. 
.NET Framework net461 is compatible.  net462 was computed.  net463 was computed.  net47 was computed.  net471 was computed.  net472 was computed.  net48 is compatible.  net481 was computed. 
MonoAndroid monoandroid was computed. 
MonoMac monomac was computed. 
MonoTouch monotouch was computed. 
Tizen tizen40 was computed.  tizen60 was computed. 
Xamarin.iOS xamarinios was computed. 
Xamarin.Mac xamarinmac was computed. 
Xamarin.TVOS xamarintvos was computed. 
Xamarin.WatchOS xamarinwatchos was computed. 
Compatible target framework(s)
Additional computed target framework(s)
Learn more about Target Frameworks and .NET Standard.

NuGet packages (5)

Showing the top 5 NuGet packages that depend on MathNet.Numerics.Data.Text:

Package Downloads

Library for nonlinear analysis of reinforced concrete membrane elements by Modified Compression Field Theory (VECCHIO; COLLINS, 1986) and Disturbed Stress Field Model (VECCHIO, 2000)..


Implementation of linear and nonlinear analysis of static problems by Finite Element Method.


Octavo.NET.Core Class Library


PhilipsTang.Mathlib .NETStandard 2.0


NeuralNet is a neural network library that is great both for a beginner looking to get started quickly, and a technical expert wishing to implement their own features.

GitHub repositories (1)

Showing the top 1 popular GitHub repositories that depend on MathNet.Numerics.Data.Text:

Repository Stars
CryptoNets is a demonstration of the use of Neural-Networks over data encrypted with Homomorphic Encryption. Homomorphic Encryptions allow performing operations such as addition and multiplication over data while it is encrypted. Therefore, it allows keeping data private while outsourcing computation (see here and here for more about Homomorphic Encryptions and its applications). This project demonstrates the use of Homomorphic Encryption for outsourcing neural-network predictions. The scenario in mind is a provider that would like to provide Prediction as a Service (PaaS) but the data for which predictions are needed may be private. This may be the case in fields such as health or finance. By using CryptoNets, the user of the service can encrypt their data using Homomorphic Encryption and send only the encrypted message to the service provider. Since Homomorphic Encryptions allow the provider to operate on the data while it is encrypted, the provider can make predictions using a pre-trained Neural-Network while the data remains encrypted throughout the process and finaly send the prediction to the user who can decrypt the results. During the process the service provider does not learn anything about the data that was used, the prediction that was made or any intermediate result since everything is encrypted throughout the process. This project uses the Simple Encrypted Arithmetic Library SEAL version 3.2.1 implementation of Homomorphic Encryption developed in Microsoft Research.
Version Downloads Last updated
5.0.0 9,120 4/3/2022
5.0.0-beta02 104 4/3/2022
5.0.0-beta01 122 3/6/2022
5.0.0-alpha16 100 2/27/2022
5.0.0-alpha15 96 2/27/2022
5.0.0-alpha14 92 2/27/2022
5.0.0-alpha13 95 2/27/2022
5.0.0-alpha12 93 2/27/2022
5.0.0-alpha11 96 2/27/2022
5.0.0-alpha10 97 2/19/2022
5.0.0-alpha09 100 2/13/2022
5.0.0-alpha08 134 12/23/2021
5.0.0-alpha07 124 12/19/2021
5.0.0-alpha06 119 12/19/2021
5.0.0-alpha05 122 12/19/2021
5.0.0-alpha04 122 12/19/2021
5.0.0-alpha03 131 12/5/2021
5.0.0-alpha02 281 7/11/2021
5.0.0-alpha01 257 6/27/2021
4.1.0 12,290 12/30/2020
4.0.0 32,878 2/14/2018
4.0.0-beta01 846 2/4/2018
3.2.1 3,863 4/29/2017
3.2.0 4,715 4/11/2016
3.1.1 6,786 7/13/2015
3.1.0 2,104 1/11/2015
3.0.0 2,050 7/23/2014
3.0.0-beta02 950 6/15/2014
3.0.0-beta01 977 4/23/2014
3.0.0-alpha9 1,013 3/29/2014
3.0.0-alpha8 991 2/26/2014
3.0.0-alpha7 934 12/30/2013
3.0.0-alpha6 989 12/3/2013
3.0.0-alpha5 1,029 11/15/2013
3.0.0-alpha4 962 9/23/2013
1.1.0 2,194 6/23/2013

COMPATIBILITY: net5.0, net48 better supported with explicit builds
COMPATIBILITY: netstandard1.x, net40, net45 no longer supported
BREAKING: drop all which was marked as obsolete
BREAKING: all native provider adapters moved out to separate NuGet packages
BREAKING: switch many usages of tuples to value tuples (experimental)
Distributions: Logistic ~Bobby Ingram
Distributions: Perf: Cauchy avoid duplicate evaluation ~Febin
Random: NextBigIngegerSequence ~Silver-Fang
Random: xoshiro256StarStar fix out of range exception ~Charlie Turndorf
Precision: Perf: pre-compute negative powers ~Febin
Optimizations: Remove static properties in LevenbergMarquardtMinimizer ~Jong Hyun Kim
Root Finding: Newton-Raphson better handling of zero-evaluations
Fit.Curve and FindMinimum extended to accept two more parameters
Fixed an index out of bounds issue when calculating BFGS minimizer with one variable ~Shiney
Fixed Sparse COO NormalizeDuplicates ~Mohamed Moussa
Marcum-Q and Log1p functions ~CHUTORO
Series: stable series summation
Providers: binary names and loading changes to follow conventions and better x-plat
Providers: drop managed reference linear algebra provider
Providers: native providers no longer inherit managed providers, managed now sealed
Providers: MKL provider compilation switched to Intel oneAPI MKL
Providers: support for provider packages with runtime folders
Better support for System.Text.Json: Polynomial, DescriptiveStatistics ~Joseph Petersen
Lots of internal cleanup, leveraging newer language features
Data: now released always together with Numerics (no longer separate versioning)
Control.Describe now includes CPU architecture and family identifier if know