MATH 4260 — Numerical Analysis: Linear and Nonlinear Problems
General Information
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.
Full Cornell course description (SP26)
Credits: 4
Prerequisites and Enrollment
Prerequisites: MATH 2210 or MATH 2940 or equivalent.
Recorded Offerings
| Semester | Listed instructors | Course details |
|---|---|---|
| Spring 2026 | David Bindel | Roster / syllabus |
Workload and General Advice
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Course information checked against Cornell’s Spring and Fall 2026 rosters on September 18, 2026. The listed semesters are verified examples, not a complete offering history.