Rust numeric library with high performance and friendly syntax
A powerful string expression evaluator for VBA and LO Basic, which puts more than 100 mathematical, statistical, financial, date-time, logic and text manipulation functions at the user's fingertips.
A subset of BLAS and LAPACK routines implemented in pure C#
MultiPrecision Complex Algebra Implements
Complex Algebra Implements
A concise library for solving sparse linear systems with direct methods.
MultiPrecision Algebra
Linear algebra
Реализация на Python, Java, C++ всех лабораторных работ к курсу численных методов ПМ-ПУ СПбГУ, 2-3 курсы.
A simple matrix library written in Rust, with LU decomposition, equation solving, inversion and more.
This repository contains a Python implementation of the LU Decomposition method for solving systems of linear equations. The code reads coefficients from an Excel file (`read.xls`), performs LU Decomposition to factorize the matrix into lower and upper triangular matrices, and then solves the system of equations.
Implementations and analyses of various mathematical and computational techniques, including Lagrange interpolation, LU decomposition, image compression with SVD and FFT, image denoising, histogram matching, and QR decomposition using Gram-Schmidt methods.
A linear algebra library that provides a user-friendly interface to several BLAS and LAPACK routines.
This repository contains a series of mini-projects focused on fundamental numerical methods implemented in MATLAB. These projects cover key areas in numerical linear algebra and root-finding techniques, each designed to provide practical insights into mathematical theories and their computational applications.
Rust sparse LU decomposition using Gilbert and Peierls method
Numerical Linear Algebra
nml is a "simple" matrix/numerical analysis library written in pure C. The scope of the library is to highlight various algorithm implementations related to matrices. Code readability was a major concern.
The assignments of the course EE1103, Numerical Methods, offered by Prof. Anil Prabhakar, Department of Electrical Engineering at IIT Madras.
C code bisection, gauss seidel, incremental search, jacobi Method , LU Decomposition, Newton_Raphson, Power Method, QR_Decomposition, regula_falsi Method, Simpson and Trapezoidal Integration
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