Graduate level-matrix theory with introduction to matrix computations. SVD's, pseudoinverses, variational characterization of eigenvalues, perturbation theory, direct and iterative methods for matrix computations.

Prerequisites: Consent of instructor.

4

Units

Letter

Grading

1, 2, 3

Passtime

None

Level Limit

Engineering

College
Unlocks ECE 230A
CHANDRASEKARA
No info found
MADALA V
No info found
Fall 2025 . Chandrasekara
PHELP1260
M W
12:30 PM - 13:45 PM
See All
CMPSC 211A Chandrasekara Fall 2024 Total: 12
CMPSC 211A Chandrasekara Fall 2023 Total: 11
CMPSC 192
0 / 10 Enrolled
Projects in Computer Science
T B A
95.9% A
CMPSC 193
0 / 10 Enrolled
Internship in Industry
T B A
98.3% A
CMPSC 196
0 / 10 Enrolled
Undergraduate Research
T B A
98.7% A
CMPSC 199
0 / 10 Enrolled
Independent Studies in Computer Science
T B A
100.0% A
CMPSC 211D
2 / 10 Enrolled
Numerical Solution of Partial Differential Equations--Finite Element Methods
Paul Atzberger 2.6
T R
09:30 AM - 10:45 AM
100.0% A
CMPSC 231
28 / 35 Enrolled
Topics in Combinatorial Algorithms
Subhash Suri 4.6
T R
11:00 AM - 12:50 PM
80.8% A