In this paper we propose a new method for the iterative computation of a few of the extremal eigenvalues of a symmetric matrix and their associated eigenvectors. The method is based on an old and ...

We consider the numerical calculation of several matrix eigenvalue problems which require some manipulation before the standard algorithms may be used. This includes finding the stationary values of a ...

Introduces the fundamentals of linear algebra in the context of computer science applications. Includes vector spaces, matrices, linear systems, and eigenvalues.

ES_APPM 345: Applied Linear Algebra VIEW ALL COURSE TIMES AND SESSIONS Description Understanding and implementation of algorithms to calculate matrix decompositions such as eigenvalue/vector, LU, QR, ...

Focuses on numerical solution of nonlinear equations, interpolation, methods in numerical integration, numerical solution of linear systems, and matrix eigenvalue problems. Stresses significant ...

Students should ideally have taken the course Mathematical Methods (MA100) or equivalent, entailing intermediate-level knowledge of linear algebra, linear independence, eigenvalues and diagonalisation ...

CHEN.5390 — Graduate Id: 001261 Offering: 1 Credits: 3-3 Description Ordinary and partial differential equations, linear algebra, matrix/vector calculus, numerical methods, introduction to ...