Krylov methods for linear problems, eigenvalues, singular values and matrix functions
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Updated
May 13, 2024 - Julia
Krylov methods for linear problems, eigenvalues, singular values and matrix functions
Rust Scientific Libary. Special functions (Bessel, Elliptic, Beta, Gamma, Erf). Linear algebra. Sparse solvers. ODE and DAE solvers. Probability distributions. Tensor calculus.
Linear algebra, eigenvalues, FFT, Bessel, elliptic, orthogonal polys, geometry, NURBS, numerical quadrature, 3D transfinite interpolation, random numbers, Mersenne twister, probability distributions, optimisation, differential equations.
Explore linear algebraic concepts 📊 from eigen vectors to vector decomposition 💡 in this GitHub repository! Dive into coding solutions 🖥️ for a range of problems and enhance your understanding of fundamental concepts in linear algebra. 🚀
Singular generalized eigenvalue problems.
PReconditioned Iterative MultiMethod Eigensolver for solving symmetric/Hermitian eigenvalue problems and singular value problems
Modularized Fortran LAPACK implementation
PCA in c
some Linear algebra projects
V library to develop Artificial Intelligence and High-Performance Scientific Computations
Subscription service for rental apartment IRR. Written in Rust.
complexarith is an attempt to model the complex field arithmetic in Java to be used in mathematical developments.
The Hari-Zimmermann complex generalized hyperbolic SVD and EVD.
LAPACK development repository
Julia package for periodic Schur decompositions of matrix products
C++ Matrix -- High performance and accurate (e.g. edge cases) matrix math library with expression template arithmetic operators
Hamming Network implementation using PCA implementation from scratch
Computational Linear Algebra course covering topics like iterative methods, matrix decompositions, and applications. It includes theoretical concepts, practical exercises, and code. Advanced methods like QR factorization, spectral theorem, and iterative solvers for linear systems.
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