Found 51 packages
F#-first linear algebra, machine learning, fitting, signal processing, and statistical testing.
Curvefitting - linear, polynomial, pade, arbitrary function
MultiPrecision Curve Fitting - linear, polynomial, pade, arbitrary function
MultiPrecision Complex Fitting
Curve fitting algorithms that take a bunch of 2D points and output bezier control points
Robust shape fitting
Fitting class with corresponding function library and interfaces.
Remove zernike background
Class library implementing advanced mathematical algorithms, transforms, and time series manipulations. Implementations favour simplicity and correctness.
The Boerman Math library containing some curve fitting things right now.
This is a C# port of the C-based MPFIT Levenberg-Marquardt solver for nonlinear least-squares data fitting at Argonne National Labs for any platform compatible with .NET Standard 2.0.
A .NET Interactive Kernel Extension for displaying FSharp.Stats types and objects.
2D Gaussian fitting core for image/bitmap inputs (.NET Standard 2.0). Levenberg–Marquardt based.
A .NET standard library for fitting curves to data using particle swarm optimization
Some solvers for combinatorial problems and probabilistic inversion
Project for fitting constrained smoothing splines to short time series affected by noise.
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)
This package contains an image utility tool used to compress resize and detect mime type of images and documents of different formats.
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.
F# package for fitting Gaussian process regression models.