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MATH 626 : Numerical Analysis II

Credits: 3

Course Description: This course introduces the essential ideas and computational techniques that modern scientists or engineers will need in order to carry out their work.  In most scientific modeling projects, investigators have to deal with very large systems of linear equations, understanding of which requires powerful computers, and a firm understanding of the vast number of existing pertinent algorithms.  The main goal of this course is to provide an introduction to numerical techniques for approximating solutions of nonlinear problems.  Topics include Polynomial Interpolation and Approximation, Numerical Methods for Root finding, Numerical Integration, Numerical Differentiation, and Numerical Solutions of Differential Equations.  The course will emphasize mathematical and software engineering methods that will allow students to fully participate at all levels of algorithm design and implementation.

Pre-Requisites: Math 625.

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