Fundamental notions of vector space theory, linear independence, basis, span, scalar product, orthogonal bases. Includes a survey of matrix algebra, solution of systems linear equations, rank, kernel, eigenvalues and eigenvectors, the LU- and QR-factorizations, and least squares approximation. Selected applications in mathematics, science, engineering and business. Prereq: MATH 426.
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Mutual Exclusion : MATH 545, MATH 762
Only listed campus in section: Durham, Manchester
Only listed colleges in section: Engineering&Physical Sciences
Instructors: STAFF