From b098fce1518a14018dc567bc0b3eb0dcc2299f02 Mon Sep 17 00:00:00 2001 From: Christoph Ruegg Date: Wed, 23 Oct 2013 22:44:12 +0200 Subject: [PATCH] Update readme --- README.md | 31 ++++++++++--------------------- 1 file changed, 10 insertions(+), 21 deletions(-) diff --git a/README.md b/README.md index 2dc9b21e..ca5c5cc0 100644 --- a/README.md +++ b/README.md @@ -3,34 +3,22 @@ Math.NET Numerics Math.NET Numerics is an opensource **numerical library for .Net, Silverlight and Mono**. -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. Covered topics include special functions, -linear algebra, probability models, random numbers, statistics, interpolation, -integral transforms (FFT) and more. +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. Covered topics include special functions, linear algebra, probability models, random numbers, statistics, interpolation, integration, curve fitting, integral transforms (FFT) and more. -In addition to the core .NET package (which is written entirely in C#), -Numerics specifically supports F# 3.0 with idiomatic extension modules and -maintains mathematical data structures like BigRational that originated in the F# PowerPack. -If a performance boost is needed, the managed-code provider backing its linear algebra -routines and decompositions can be exchanged with wrappers for optimized native -implementations such as Intel MKL. +In addition to the core .NET package (which is written entirely in C#), Numerics specifically supports F# 3.0 with idiomatic extension modules and maintains mathematical data structures like BigRational that originated in the F# PowerPack. If a performance boost is needed, the managed-code provider backing its linear algebra routines and decompositions can be exchanged with wrappers for optimized native implementations such as Intel MKL. -Supports Mono and .NET 4.0 on Linux, Mac and Windows, the portable version also -SL5 and .NET for Windows Store apps. +Supports Mono and .NET 4.0 on Linux, Mac and Windows, the portable version also Silverlight 5, WindowsPhone 8 and .NET for Windows Store apps. -Math.NET Numerics is covered under the terms of the [MIT/X11](http://mathnetnumerics.codeplex.com/license) -license. You may therefore link to it and use it in both opensource and proprietary -software projects. See also the [license](LICENSE.md) file in the root folder. +Math.NET Numerics is covered under the terms of the [MIT/X11](http://mathnetnumerics.codeplex.com/license) license. You may therefore link to it and use it in both opensource and proprietary software projects. See also the [license](LICENSE.md) file in the root folder. -Maintained by [Christoph Rüegg](http://christoph.ruegg.name/) but brought to you by all our valuable [Contributors](CONTRIBUTORS.md) of Math.NET Numerics and its predecessors [dnAnalytics](http://dnanalytics.codeplex.com/) and [Math.NET Iridium](http://www.mathdotnet.com/Iridium.aspx). We accept contributions! +Maintained by [Christoph Rüegg](http://christoph.ruegg.name/) but brought to you by all our awesome [contributors](CONTRIBUTORS.md) of Math.NET Numerics and its predecessors [dnAnalytics](http://dnanalytics.codeplex.com/) and [Math.NET Iridium](http://www.mathdotnet.com/Iridium.aspx). We accept contributions! Installation Instructions ------------------------- **[Release Notes & Changes](RELEASENOTES.md)** -Download the *MathNet.Numerics.dll* assembly, add a reference to it to your project and you're done. To make this even simpler we publish binary releases to the [**NuGet Gallery**](http://nuget.org/) as package *MathNet.Numerics* (or *MathNet.Numerics.FSharp* for F# integration; we also have code sample packages there). Alternatively we also publish binary releases and documentation to [CodePlex](http://mathnetnumerics.codeplex.com/releases). +Download the *MathNet.Numerics.dll* assembly, add a reference to it to your project and you're done. To make this even simpler we publish binary releases to the [**NuGet Gallery**](http://nuget.org/) as package *MathNet.Numerics* (or *MathNet.Numerics.FSharp* for F# integration; we also have code sample packages there, see the release notes for details). Alternatively we also publish binary releases and documentation to [CodePlex](http://mathnetnumerics.codeplex.com/releases). Quick Links ----------- @@ -38,7 +26,7 @@ Quick Links * [**Project Website**](http://numerics.mathdotnet.com) * [Source Code](http://github.com/mathnet/mathnet-numerics) * [Downloads](http://mathnetnumerics.codeplex.com/releases) -* [Documentation](http://mathnetnumerics.codeplex.com/documentation) +* [Documentation](http://mathnetnumerics.codeplex.com/documentation), see also new [experimental documentation](http://numerics.mathdotnet.com/docs/) * [API Reference](http://numerics.mathdotnet.com/api/) * [Code Samples](http://github.com/mathnet/mathnet-numerics/tree/master/src/Examples) * [Discussions](http://mathnetnumerics.codeplex.com/discussions) @@ -47,12 +35,13 @@ Quick Links Feeds: -* [Blog Feed](http://feeds.mathdotnet.com/MathNetNumerics) +* [Blog Feed](http://christoph.ruegg.name/blog/categories/math-net-numerics/atom.xml) * [Activity Feed](http://feeds.mathdotnet.com/MathNetNumericsActivity) Math.NET Numerics on other sites: -* [@MathDotNet](http://twitter.com/MathDotNet) +* [Twitter @MathDotNet](http://twitter.com/MathDotNet) * [Google+](https://plus.google.com/112484567926928665204) * [Ohloh](https://www.ohloh.net/p/mathnet) * [Stack Overflow](http://stackoverflow.com/questions/tagged/mathdotnet) +* [Wikipedia](http://en.wikipedia.org/wiki/Math.NET_Numerics)