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MATH 693A - Advanced Numerical Methods: Computational Optimization

MATH 693A: Advanced Numerical Methods: Computational Optimization (3 units) at San Diego State University. Not offered in Spring 2027. Prerequisites: MATH 340 and MATH 524 and with a grade of C (2.0) or better in each course. Counts toward Applied Mathematics, Dynamical Systems Concentration, M.S. (2026-27), Applied Mathematics, Dynamical Systems Concentration, M.S. (2025-26).

3 units
  • Complete at Least 15 Additional Units
  • Areas of Study
  • Core Courses
  • Required Courses
Offered: Summer 2027 (not offered), Spring 2027 (unknown), Fall 2026 (offered)
Numerical optimization: Newton, Truncated-Newton, and Quasi- Newton methods for unconstrained optimization; with applications to nonlinear least squares, orthogonal distance regression, and nonlinear equations.
Prerequisites
MATH 340 and MATH 524 and with a grade of C (2.0) or better in each course.
See the full prerequisite chain

From the catalog

Grading
LTR: Letter Graded. The class will be offered for letter grade with no option to take it for Cr/NC
Repeatable
Maximum 3 units.

0 sections in Spring 2027

MATH 693A is not offered in Spring 2027. Check all MATH classes for other terms.