MATH 4260

MATH 4260

Course information provided by the 2025-2026 Catalog.

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.


Prerequisites MATH 2210 or MATH 2940 or equivalent.

Distribution Requirements (SMR-AS)

Last 4 Terms Offered 2025SP, 2024SP, 2023SP, 2022SP

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Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one project. Combined with: CS 4220CS 5223

  • 4 Credits Stdnt Opt

  •  3121 MATH 4260   LEC 001

    • MWF
    • Jan 20 - May 5, 2026
    • Damle, A

  • Instruction Mode: In Person

  •  6884 MATH 4260   PRJ 601

    • Jan 20 - May 5, 2026
    • Damle, A

  • Instruction Mode: In Person