Solve a system of linear equations. Invert a matrix. Nothing else
Exactly solve a low dimensional linear system
solve a linear system with a cached LU decomposition
The Linear Client SDK for interacting with the Linear GraphQL API
Use the display-p3-linear color space on the color() function in CSS
A <LinearGradient> element for React Native
Provides a React component that renders a gradient view.
A library to find JS RegExp with super-linear worst-case time complexity for attack strings that repeat a single character.
The Material Components for the web linear progress indicator component
Use double-position gradients in CSS
Easy to use, JSON oriented Linear Programming and Mixed Int. Programming Solver
pipe streams together and close all of them if one of them closes
it performs a linear sum assignment even if the cost matrix is rectangular.
RE2JS is the JavaScript port of RE2, a regular expression engine that provides linear time matching
Minify gradient parameters with PostCSS.
Simple Linear Regression
React Native for Web implementation of react-native-linear-gradient
Calculate statistical regressions for two-dimensional data
CSS Object Model implementation and CSS parser
Multivariate linear regression
Use interpolation methods in CSS gradient functions
Yet another linear programming solver. (A rewrite of javascript-lp-solver.) Aims to be decently fast.
ZXing-C++ WebAssembly as an ES/CJS module with types
Linear adapter for chat - issue comment threads
FERAL pure-Rust sparse symmetric LDL^T backend for POUNCE. Implements pounce-linsol's SparseSymLinearSolverInterface.
HSL linear-solver backend for POUNCE: MA57 via libcoinhsl.dylib (port of Ipopt's IpMa57TSolverInterface). Implements pounce-linsol's SparseSymLinearSolverInterface.
Krylov subspace and preconditioned iterative solvers for dense and sparse linear systems, with shared and distributed memory parallelism.
A linear solver designed to be easy to use with Rust enum expressions
## Cassowary [](https://travis-ci.org/timfel/cassowary) Cassowary is an incremental constraint solving toolkit that efficiently solves systems of linear equalities and inequalities. Constraints may be either requirements or preferences. Client code specifies the constraints to be maintained, and the solver updates the constrained variables to have values that satisfy the constraints. This is a Ruby port of the Smalltalk version of Cassowary. The original distribution can be found [here](http://www.cs.washington.edu/research/constraints/cassowary/). A technical report is included in the original distribution that describes the algorithm, interface, and implementation of the Cassowary solver. Additionally, the distribution contains toy sample applications written in Smalltalk, C++, Java, and Python, and a more complex example Java applet, the "Constraint Drawing Application".
Cassowary is an incremental constraint solving toolkit that efficiently solves systems of linear equalities and inequalities. Constraints may be either requirements or preferences. Client code specifies the constraints to be maintained, and the solver updates the constrained variables to have values that satisfy the constraints. Version 0.50 of the solving toolkit adds support for a one-way finite domain subsolver. This project is concerned with offering a ruby interface for the original implementation of cassowary in C.
A linear algebra library cooperating with NArray. This library calls blas and lapack routines for fast computations. This library has following functionalities. * xGEMM (multiply two matrices and add other matrix) * Solve LLS(Least Square Sum) problems * Computing determinant (using QR decomposition) * Solve eigenproblems (compute eigenvalues and eigenvectors) * (Pivoted) LU decompotision * SVD(Singular value decomposition) * QR decomposition * Cholesky decomposition
# Introduction Rglpk is a package providing a Ruby wrapper to the [GNU GLPK](http://www.gnu.org/software/glpk/) library. The GLPK (GNU Linear Programming Kit) package is intended for solving large-scale linear programming (LP), mixed integer programming (MIP), and other related problems. Rglpk (pronounced as "wriggle-pick") is currently in alpha status and the API should be considered subject to change. Rglpk uses [Swig](http://www.swig.org/) to initially wrap the C GLPK library (using a Swig wrapper originally developed by Nigel Galloway) and then a pure Ruby library to wrap the Swig code in a more friendly OO-style.
The library for mathematical optimization in Ruby is designed to help solve many problems in the computational, financial, social, and energy fields and, in theory, should include components of game theory, combinatorics, probability theory, linear and nonlinear optimization, cluster, regression, and other analysis.
A toolbox of numerical differential equation solvers written in pure Ruby. Currently there are multiple methods available to solve initial value ODEs (Dormand-Prince, Forward Euler, 2nd order Adams-Bashforth), boundary value ODEs (Linear Finite Element Galerkin), 2D Poisson's equation (5-point Laplacian), and the 1D advection equation (Upwind, Lax-Friedrichs, Leapfrog, Lax-Wendroff).
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