CSE258: Spectral Graph Theory
The main purpose of this course is to explore what eigenvalues and eigenvectors of graphs can tell us about their structure, and to exploit this knowledge for algorithmic purposes. It can be thought of as "Advanced Linear Algebra with examples from Graph Theory." Prerequisite(s): Linear algebra familiarity. Enrollment is restricted to graduate students, undergraduate students with linear algebra familiarity may enroll by permission of the instructor.
5 credits
| Year | Fall | Winter | Spring | Summer |
|---|---|---|---|---|
| 2024-25 |
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| 2023-24 |
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