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Numerical Analysis: Basic Problems (3)

Course Level: Undergraduate/Graduate

Computer arithmetic and error analysis in computation, matrix decomposition methods in solving systems of linear equations and linear least squares problems, polynomial approximation and polynomial data fitting, iterative algorithms for solving nonlinear equations, and numerical differentiation and integration. Usually offered alternate falls (even years). Prerequisite: CSC-280, MATH-222, and MATH-310, or permission of instructor.