A matrix is a rectangular array of numbers, symbols, or expressions arranged in rows and columns. They are a crucial part of linear algebra and have various applications in fields like engineering, ...
This repository contains my introduction note to various Krylov subspace methods( including Lanczos, Arnoldi, Krylov-Schur, GMRES, MinRes and conjugate gradient methods) for solving and eigen-solving ...
Project on using MATLAB to solve matrices using various techniques like Gaussian elimination and LU decomposition, for real-world problems. Matrix solving is important in various fields, and this ...
Abstract: In this paper, we propose a new method based on semi-tensor product of matrices for solving quaternion Generalized Lyapunov Equation ${A^H}X + XA + \sum\limits_{j = 1}^m {N_j^H} X{N_j} + ...
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