1,999 packages tagged with “Matrix”
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 5.0 or higher, .NET Standard 2.0 and .NET Framework 4.6.1 or higher, on Windows, Linux and Mac.
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 5.0 or higher, .NET Standard 2.0 and .NET Framework 4.6.1 or higher, on Windows, Linux and Mac. This package contains strong-named assemblies for legacy use cases (not recommended).
ZXing.Net is a port of ZXing, an open-source, multi-format 1D/2D barcode image processing library originally implemented in Java. It has been ported by hand with a lot of optimizations and improvements. It is compatible with .Net 2.0/3.5/4.x/5.x/6.x/7.x/8.x/9.x, Windows RT Class Library and Components, UWP, .Net Standard 1.x and 2.0x, .Net Core App 3.x, Silverlight 4, Silverlight 5, Windows Phone 7.x and Windows Phone 8.x and Xamarin.Android
F# Modules 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. Supports .NET 5.0 or higher, .NET Standard 2.0 and .NET Framework 4.6.1 or higher, on Windows, Linux and Mac.
Contains a matrix extension library, along with a suite of numerical matrix decomposition methods, numerical optimization algorithms for constrained and unconstrained problems, special functions and other tools for scientific applications. This package is part of the Accord.NET Framework.
A small library for performing matrix math, linear algebra - now including sparse matrix solve. Most functions are static and use simple arrays (e.g double[,]) making it easy to use in other projects.
Intel oneAPI MKL native libraries for Math.NET Numerics on Windows.
Double version of System.Numerics vector libraries
Google Places, Maps, Roads, Search and Translate. Requests and Responses are complete with Google api documentation and references.
This package provides common methods used by all other packages especially the most used data structures of the framework. Additionally it provides implementations for debugging assertions, a weak event model and the logging adapter. For more details how to use MARS, please use the documentation: https://www.mars-group.org/docs/tutorial/intro
The only .NET tensor & matrix library for generic types. It is also faster than other generic-typed matrix libraries.
This package provides helpful methods and algorithms to handle math computing tasks. It contains implementations for vector and matrix models, mutliple distributions and random number generators as well as several generic distance functions. For more details how to use MARS, please use the documentation: https://www.mars-group.org/docs/tutorial/intro
PivotData OLAP library: implements in-memory multidimensional dataset for data aggregations, OLAP queries (roll-ups, slice and dice, transformations), pivot table (crosstab) data model. Source code and examples: https://github.com/nreco/pivotdata Usage conditions, online demo: https://www.nrecosite.com/pivot_data_library_net.aspx Get started: https://www.nrecosite.com/pivotdata/cube-basics.aspx
A library for advanced numerical computing, with support for data manipulation, statistics, matrix algebra, Fourier transforms, advanced functions, extended precision, and solvers.
Numerics.NET (formerly Extreme Optimization Numerical Libraries for .NET) are a set of libraries for numerical computing and data analysis. This is the main package that contains all the core functionality. For optimal performance, we strongly recommend also referencing one of the native packages based on Intel's Math Kernel Library (MKL). Supports .NET 5.0-8.0+, .NET Framework 4.62+, .NET Standard 2.0, and .NET Core 3.1 on Windows, Linux and Mac.
Foundational classes for financial, engineering, and scientific applications, including complex number classes, general vector and matrix classes, structured sparse matrix classes and factorizations, general sparse matrix classes and factorizations, general matrix decompositions, least squares solutions, random number generators, Fast Fourier Transforms (FFTs), numerical integration and differentiation methods, function minimization, curve fitting, root-finding, linear and nonlinear programming. This package also provides functions for statistical computation and biostatistics, including descriptive statistics, probability distributions, combinatorial functions, multiple linear regression, hypothesis testing, analysis of variance, multivariate statistics, partial least squares, and nonnegative matrix factorization. Built on .NET Standard 2.0. Requires a minimum of .NET Standard 2.0, .NET 5, .NET Core 2.0 or .NET Framework 4.6.1. Requires Visual Studio 2015-2019 C++ x64 runtime. Requires x64 hardware.
A simple cross platform .NET API for Intel MKL. Reference the MKL.NET package and required runtime packages and use the static MKL functions. The correct native libraries will be included and loaded at runtime. Exposing functions from MKL keeping the syntax as close to the c developer reference as possible: https://www.intel.com/content/www/us/en/develop/documentation/onemkl-developer-reference-c/top.html
XImage.Barcode Generator is a C# barcode creator library to generate, print QR Code, Data Matrix, Code 128, EAN-13 and many 2d, 1d barcode formats in .NET projects. Supported barcode formats : * QR Code (Steyled QR Code, +GS1), Data Matrix (+GS1), PDF-417 * Code 39, Code 128, GS1-128 * EAN 8, EAN 13, UPC-A, UPC-E * Interleaved 2 of 5, ITF-14 * And many other barcode formats Output : * Raster images: bitmap (.bmp), gif, png, jpeg/jpg, tiff * Vector images: svg, eps * Stream objects or binary data Compatible with : * .NET Standard 2.0 * .NET 8, .NET 7, .NET 6, .NET 5 * .NET Core 3.x, & 2.x * .NET Framework 4.6 Online Guides : * C# Developer Guide : https://www.rasteredge.com/how-to/csharp-imaging/barcode-generating/ * Support : support@rasteredge.com
XImage.Barcode Reader is a C# barcode scanning library to read, scan QR Code, Code 128 and many 2d and 1d barcode formats in .NET projects. Barcode Reader from RasterEdge is an advanced barcode scanner library : * Read, scan QR Code, Data Matrix, PDF-417, Code 39 / 128, EAN/UPC, GS1-128, and other 1d barcode formats * Recognise multiple barcodes from a single file with fast reading speed and high recognition rate * Support reading barcodes from PDF, multi-page TIFF, GIF, BMP, JPEG, TIFF, PNG image files, and stream objects Compatible with * .NET Standard 2.0 * .NET 8, .NET 7, .NET 6, .NET 5, .NET Core 3.x & 2.x * .NET Framework 4.x * Windows, MacOS, Linux, Docker, Azure Online Documents * C# How to Guide : https://www.rasteredge.com/how-to/csharp-imaging/read-barcode-csharp/ * Email : support@rasteredge.com
Eigen is a C++ template library for linear algebra: matrices, vectors, numerical solvers, and related algorithms.
C# bindings for NumPy - a fundamental library for scientific computing, machine learning and AI. Does not require a local Python installation!
AdaFruit HT16K33 8x16 Matrix LED FeatherWing
CSparse.NET provides numerical methods for sparse LU, Cholesky and QR decomposition of real and complex linear systems.
The GPU-accelerated version of package CenterSpace.NMath. With a few minor exceptions, such as optional GPU configuration settings, the API is identical between CenterSpace.NMath.Premium and CenterSpace.NMath. If using at least .NET Framework 4.6.1 or .NET Core 2.0, we recommend using one of our NMath .NET Standard NuGet packages.
Foundational classes for financial, engineering, and scientific applications, including complex number classes, general vector and matrix classes, structured sparse matrix classes and factorizations, general sparse matrix classes and factorizations, general matrix decompositions, least squares solutions, random number generators, Fast Fourier Transforms (FFTs), numerical integration and differentiation methods, function minimization, curve fitting, root-finding, linear and nonlinear programming. This package also provides functions for statistical computation and biostatistics, including descriptive statistics, probability distributions, combinatorial functions, multiple linear regression, hypothesis testing, analysis of variance, multivariate statistics, partial least squares, and nonnegative matrix factorization. Built on .NET Standard 2.0. Requires a minimum of .NET Standard 2.0, .NET 5, .NET Core 2.0 or .NET Framework 4.6.1. Requires libgcc linux. Requires x64 hardware.
Spreads Core library