MATH 4260

Numerical Analysis: Linear and Nonlinear Problems

Course Description

Course information provided by the Courses of Study 2018-2019.

Introduction to the fundamentals of numerical linear algebra: direct and iterative methods for linear systems, eigenvalue problems, singular value decomposition. In the second half of the course, the above are used to build iterative methods for nonlinear systems and for multivariate optimization. Strong emphasis is placed on understanding the advantages, disadvantages, and limits of applicability for all the covered techniques. Computer programming is required to test the theoretical concepts throughout the course.

When Offered Spring.

Prerequisites/Corequisites Prerequisite: MATH 2210 or MATH 2940 or equivalent, one additional mathematics course numbered 3000 or above, and knowledge of programming. Students will be expected to be comfortable with proofs.

Distribution Category (MQR-AS)

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