Abstract: This paper reviews some of the more useful, current and newly developing methods for the solution of electromagnetic fields. It begins with an introduction to numerical methods in general, ...

Abstract: The matrix eigenvalue inverse problem is the problem of inversely determining the matrix by using the information of the known eigenvalues and eigenvectors and other constraints. The matrix ...

GenELPA is a tool for solving generalized eigenvalues using ELPA as a computational core. ELPA is a high-performance and highly scalable direct eigensolvers solver, and is used in a variety of ...

A comprehensive implementation of various Matrix Decomposition Techniques from the lens of Linear Algebra to produce efficient computing of SVD, PCA, Feature Selection & Data Analysis in Python. To ...

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