Temple University 3 credits MATH
This course presents the fundamental numerical techniques for Linear Algebra, aimed at graduate students in mathematics and related areas who seek a mathematical introduction. Topics include orthogonalization and QR factorization in theory and practice, iterative methods for solving linear systems, Krylov subspace methods, variational formulations for symmetric and nonsymmetric problems, convergence estimates, relations to orthogonal polynomials, preconditioning techniques, incomplete factorizations, multigrid methods, domain decomposition, and basic methods for eigenvalue problems.
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