./nugetz
/
trending/tags

#Interpolation

105 packages tagged with “Interpolation”

MathNet.Numerics✓

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.

v5.0.0↙ 58.4M
mathnumericstatisticsprobabilityintegration

MathNet.Numerics.Signed✓

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).

v5.0.0↙ 37.0M
mathnumericstatisticsprobabilityintegration

MathNet.Numerics.FSharp✓

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.

v5.0.0↙ 4.0M
fsharpF#mathnumericstatistics
pkg

InterpolatedSql

SQL Builder using Fluent API and String Interpolation

v2.5.1↙ 861.5K
sqlbuilderinterpolatedstringsformattablestring

MathNet.Numerics.MKL.Win-x64✓

Intel oneAPI MKL native libraries for Math.NET Numerics on Windows.

v3.0.0↙ 1.1M
mathnumericstatisticsprobabilityintegration

CenterSpace.NMath.Standard.Windows.X64

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.

v7.4.2.16↙ 954.0K
mathstatisticsnumericsprobabilitylinear

Extreme.Numerics

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.

v8.1.25↙ 1.5M
mathstatisticsprobabilitymachinelearning

MathNet.Numerics.MKL.Win✓

Intel oneAPI MKL native libraries for Math.NET Numerics on Windows.

v3.0.0↙ 536.6K
mathnumericstatisticsprobabilityintegration

CenterSpace.NMath.Premium

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.

v6.2.0.58↙ 343.5K
GPUmathstatisticsnumericslinear

CenterSpace.NMath.Standard.Linux.X64

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.

v7.4.2.16↙ 333.6K
mathstatisticsnumericsprobabilitylinear

CenterSpace.NMath

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. If you're using at least .NET Framework 4.6.1 or .NET Core 2.0, we recommend using one of our NMath .NET Standard NuGet packages.

v6.2.0.58↙ 172.2K
mathstatisticsnumericslinearalgebra

MathNet.Numerics.OpenBLAS.Win✓

OpenBLAS native libraries for Math.NET Numerics.

v0.2.0↙ 142.0K
mathnumericstatisticsprobabilityintegration
pkg

InterpolatedSql.StrongName

SQL Builder using Fluent API and String Interpolation

v2.5.1↙ 77.4K
sqlbuilderinterpolatedstringsformattablestring

CenterSpace.NMath.Standard.Windows.X86.X64

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 or .NET Core 2.0. Does not support .NET Framework. Requires Visual Studio 2017 C++ x86 and x64 runtimes. Requires x64 hardware.

v7.1.0.47↙ 178.4K
mathstatisticsnumericsprobabilitylinear

alglib2.dll

ALGLIB is a cross-platform numerical analysis and data processing library. It supports several programming languages (C++, C#, Pascal, VBA) and several operating systems (Windows, Linux, Solaris). ALGLIB features include: Data analysis (classification/regression, including neural networks) Optimization and nonlinear solvers Interpolation and linear/nonlinear least-squares fitting Linear algebra (direct algorithms, EVD/SVD), direct and iterative linear solvers, Fast Fourier Transform and many other algorithms (numerical integration, ODEs, statistics, special functions)

v3.10.4↙ 23.6K
StatisticsOptimizationMachine-learningInterpolation

MathNet.Numerics.FSharp.Signed✓

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. This package contains strong-named assemblies for legacy use cases (not recommended).

v5.0.0↙ 106.4K
fsharpF#mathnumericstatistics

CenterSpace.NMath.Standard.WindowsAndLinux.X64

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 x64 hardware. On Windows, requires Visual Studio 2017 C++ x64 runtime. On Linux, requires libgcc.

v7.1.0.47↙ 142.8K
mathstatisticsnumericsprobabilitylinear
pkg

InterpolationFormatProvider

A format provider for string.format that can use dictionary keys or property names as formats i.e "{0:Username} joined on {0:JoinDate:D}" produces "John Doe joined on Thursday, October 22, 2014"

v2.0.0↙ 17.0K
stringinterpolationtemplatingstring.format

MathNet.Numerics.MKL.Linux-x86✓

Intel MKL native libraries for Math.NET Numerics on Linux.

v2.0.0↙ 77.7K
mathnumericstatisticsprobabilityintegration

CenterSpace.NMath.Standard.OSX.X64

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 x64 hardware.

v7.2.0.35↙ 105.9K
mathstatisticsnumericsprobabilitylinear

MathNet.Numerics.MKL.Win-x86✓

Intel oneAPI MKL native libraries for Math.NET Numerics on Windows.

v3.0.0↙ 64.7K
mathnumericstatisticsprobabilityintegration

VL.Interpolator.Addons

Timeliner & Set of nodes around VL.Interpolator

v1.5.9↙ 35.1K
vlvvvvInterpolatorInterpolationTimeliner
pkg

Betwixt

Easy Tweening Library for .NET

v1.4.1↙ 21.0K
tweeningtweeneaseeasinginterpolation

NaturalNeighbor

Natural Neighbor 2D Interpolator based on Delanuay tesselation

v1.1.1↙ 11.6K
voronoiinterpolationGIS
pkg

stringy

Stringy is a simple and light-weight runtime string interpolation engine. The purpose of the library is to provide something that's easier to use and more light-weight than Runtime Text Templates or RazorEngine, but a little more powerful than string.Replace().

v2.0.1↙ 17.8K
stringinterpolationtemplatelanguageruntime

MathNet.Numerics.MKL.Linux✓

Intel MKL native libraries for Math.NET Numerics on Linux.

v2.0.0↙ 46.3K
mathnumericstatisticsprobabilityintegration

Numerics.NET.Core✓

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 8, 9, 10, .NET Framework 4.6.2+, .NET Standard 2.0 on Windows, Linux and Mac.

v10.3.0↙ 105.0K
mathstatisticsprobabilitymachinelearning
pkg

CSharpIDW

C# library for fast multi-dimensional inverse distance weighting (IDW) interpolation.

v1.0.11.14↙ 7.9K
InterpolationIDWScatter

MathNet.Numerics.MKL.Linux-x64✓

Intel MKL native libraries for Math.NET Numerics on Linux.

v2.0.0↙ 40.7K
mathnumericstatisticsprobabilityintegration

Numerics.NET✓

Numerics.NET (formerly Extreme Optimization Numerical Libraries for .NET) are a set of libraries for numerical computing and data analysis. This package bundles all functionality except for native libraries. For optimal performance, we strongly recommend also referencing one of the native packages based on Intel's Math Kernel Library (MKL). Supports .NET 8, 9, 10, .NET Framework 4.62+, .NET Standard 2.0 on Windows, Linux and Mac.

v10.3.0↙ 88.9K
mathstatisticsprobabilitymachinelearning