mathnet-numerics | Math.NET Numerics - Math | Math library

 by   mathnet C# Version: v5.0.0 License: MIT

kandi X-RAY | mathnet-numerics Summary

kandi X-RAY | mathnet-numerics Summary

mathnet-numerics is a C# library typically used in Institutions, Learning, Education, Utilities, Math applications. mathnet-numerics has no bugs, it has no vulnerabilities, it has a Permissive License and it has medium support. You can download it from GitHub.

Math.NET Numerics is an opensource numerical library for .NET, Silverlight and Mono. Math.NET Numerics is the numerical foundation of the Math.NET initiative, 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, regression, curve fitting, integral transforms (FFT) and more. In addition to the core .NET package (which is written entirely in C#), Numerics specifically supports F# 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.

            kandi-support Support

              mathnet-numerics has a medium active ecosystem.
              It has 3153 star(s) with 866 fork(s). There are 211 watchers for this library.
              It had no major release in the last 6 months.
              There are 236 open issues and 353 have been closed. On average issues are closed in 908 days. There are 41 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of mathnet-numerics is v5.0.0

            kandi-Quality Quality

              mathnet-numerics has 0 bugs and 0 code smells.

            kandi-Security Security

              mathnet-numerics has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              mathnet-numerics code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              mathnet-numerics is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              mathnet-numerics releases are not available. You will need to build from source code and install.
              Installation instructions, examples and code snippets are available.
              mathnet-numerics saves you 127 person hours of effort in developing the same functionality from scratch.
              It has 318 lines of code, 0 functions and 973 files.
              It has low code complexity. Code complexity directly impacts maintainability of the code.

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            mathnet-numerics Key Features

            No Key Features are available at this moment for mathnet-numerics.

            mathnet-numerics Examples and Code Snippets

            No Code Snippets are available at this moment for mathnet-numerics.

            Community Discussions


            Why does pandas.DataFrame.skew() return 0 when the SD of a list of values is 0?
            Asked 2022-Jan-14 at 09:19


            Let's think, there is a list of values which presents activity of a person for several hours. That person did not have any movement in those hours. Therefore, all the values are 0.

            What did raise the question?

            Searching on Google, I found the following formula of skewness. The same formula is available in some other sites also. In the denominator part, Standard Deviation (SD) is included. For a list of similar non-zero values (e.g., [1, 1, 1]) and also for 0 values (i.e., [0, 0, 0]), the SD will be 0. Therefore, I am supposed to get NaN (something divided by 0) for skewness. Surprisingly, I get 0 while calling pandas.DataFrame.skew().

            My Question

            Why does pandas.DataFrame.skew() return 0 when the SD of a list of values is 0?

            Minimum Reproducible Example



            Answered 2022-Jan-14 at 09:19

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network


            No vulnerabilities reported

            Install mathnet-numerics

            The recommended way to get Math.NET Numerics is to use NuGet. The following packages are provided and maintained in the public [NuGet Gallery](
            MathNet.Numerics.FSharp - optional extensions for a better F# experience. BigRational.
            MathNet.Numerics.Providers.MKL - Binding to Native Intel MKL provider.
            MathNet.Numerics.MKL.Win - Native Intel MKL provider (Windows).
            MathNet.Numerics.MKL.Win-x86 - Native Intel MKL provider (Windows/32-bit only).
            MathNet.Numerics.MKL.Win-x64 - Native Intel MKL provider (Windows/64-bit only).
            MathNet.Numerics.Data.Text - Text-based matrix formats like CSV and MatrixMarket.
            MathNet.Numerics.Data.Matlab - MATLAB Level-5 matrix file format.


            For full details, dependencies and platform discrepancies see [Platform Compatibility](
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