linear-equations
There are 124 repositories under linear-equations topic.
Reference-LAPACK/lapack
LAPACK development repository
chfenger/goNum
开源Go语言数值算法库(An open numerical library purely based on Go programming language)
planelles20/numerical-methods-fortran
Solving linear, nonlinear equations, ordinary differential equations, ... using numerical methods in fortran
friendly/matlib
Matrix Functions for Teaching and Learning Linear Algebra and Multivariate Statistics
p-sto/ConjugateGradients
Implementation of ConjugateGradients method using C and Nvidia CUDA
perazz/fortran-lapack
Modularized Fortran LAPACK implementation
DirkToewe/nd4js
JS ND-Arrays inspired by NumPy.
jacobwilliams/LSQR
Modern Fortran sparse linear systems solver
RoyiAvital/Projects
Various Small Projects on Various Subjects
lucylow/Computational_physics
Methods of numerical modelling with undergraduate level computational physics solutions with non-linear equations, gaussian probabilities, and Euler RK4 integration
KhCE/NM
Numerical Methods (NM) for BE Electrical II Year / II Part, Email: nm.khwopa@gmail.com
perpendicooler/Code-for-Numerical-Analysis-Executed-in-FORTRAN-and-MATLAB
This is a Git repository containing code for a numerical analysis lab using Fortran and MATLAB
PasaOpasen/MathClasses
Set of simple mathematical classes in C# (Vectors, Matrixes, Polynoms, Systems of linear equations, Integrals methods, Complex numbers, Rational numbers, Graphs, Methods for solving differential equations) + some features such as memoize (function values memorising)
nk027/sanic
Fast routines for solving large systems of linear equations in R. Makes Eigen Cholesky-, LU-, QR-, and iterative (Conjugate Gradient, BiCGSTAB) solvers for both dense and sparse problems available.
nqomorita/monolis
monolithic linear solver based on domain decomposition
maitreyeepaliwal/Solving-System-of-linear-equations-in-parallel-and-serial
Implentation of Back Substitution, Conjugate Gradient and Gauss Seidel using OpenMP parallelization
bhmaa/gauss_method
Laboratory work on the mathematics course at ITMO University, completed in the second semester in 2022.
jacobwilliams/LSMR
Fortran Package Manager version of LSMR: Sparse Equations and Least Squares
ray42/oomphlib
oomph-lib is an object-oriented, open-source finite-element library for the simulation of multi-physics problems. It is developed and maintained by Matthias Heil and Andrew Hazel of the School of Mathematics at The University of Manchester, along with many other contributors.
cszach/lnagb.js
Educational linear algebra environment powered by the Web.
hydrastro/gal
Linear Algebra and Geometry, matrices and linear equations
PaulYangSz/MyJavaLogisticRegression
Learn Logistic Regression and implement by Java， also used to solve Kaggle-Titanic predict。
shanthanu9/Numerical-Methods
Collection of algorithms discussed in "Numerical Methods" course
Ananyapam7/MA-3105
MA3105 is a 4 credit course offered by the DMS at IISER-K which focuses on computational numerical analysis that has immense applications in various fields.
aostrun/Matrix-LUP
Matrix implementation that includes LU/LUP decomposition and solving basic linear equations
Beliavsky/Matrix_Inversion
Inversion of a real matrix and the solution of a set of linear equations using Crout's method
fedefloris/Computor-v1
A linear, quadratic and cubic equation solver
jman-9/linear-regression-practice
Practice of Linear Regression
JuzerShakir/Linear_Regression
A Mathematical Intuition behind Linear Regression Algorithm
rayyamhk/Matrix.js
A professional, comprehensive and high-performance library for you to manipulate matrices.
Shiva-Iyer/euler
Python functions for numerical analysis: numerical schemes for ODEs, linear algebra, linear/non-linear/iterative solvers, interpolation, and regression analysis.
src-mgra/equation-solver
linear equation system solver in C# / solving lineare equation systems with 6 variables
SURFQuantum/qc-quantum-linear-systems
Quantum algorithms to solve linear systems of equations.
Ziezi/Introduction-to-MATLAB-Octave-and-Numerical-Methods-for-Engineers
Solutions to the Exercises from "An Introduction to MATLAB and Numerical Methods for Engineers." by Timmy Siauw and Alexandre M. Bayen