Linear Algebra: Matrices and determinants; Systems of linear equations; Eigenvalues and eigenvectors. Calculus ... So, instead of just memorising things, focus on understanding the fundamental ...

Recently, in order to find the principal moments of inertia of a large number of rigid bodies, it was necessary to compute the eigenvalues of many real, symmetric 3 × 3 matrices. The available ...

Since this provides a variety of factorizations, I thought it might be possible to use this package to solve an infinite-dimensional eigenvalue/eigenvector problem. For example, can ArnoldiMethod.jl ...

In this paper, the notion of equitable partitions (EP) is used to study the eigenvalues of Euclidean distance matrices (EDMs). In particular, EP is used to obtain the characteristic polynomials of ...

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, ...

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 ...