## MATH 104: Applied Matrix Theory

Linear algebra for applications in science and engineering: orthogonality, projections, spectral theory for symmetric matrices, the singular value decomposition, the QR decomposition, least-squares, the condition number of a matrix, algorithms for solving linear systems.
MATH 113 offers a more theoretical treatment of linear algebra.
MATH 104 and
EE 103/
CME 103 cover complementary topics in applied linear algebra. The focus of
MATH 104 is on algorithms and concepts; the focus of
EE 103 is on a few linear algebra concepts, and many applications. Prerequisites:
MATH 51 and programming experience on par with
CS 106.

Terms: Aut, Win, Spr, Sum
| Units: 3
| UG Reqs: GER:DB-Math, WAY-FR

Instructors:
Candes, E. (PI)
;
Taylor, C. (PI)
;
Velcheva, K. (PI)
...
more instructors for MATH 104 »

Instructors:
Candes, E. (PI)
;
Taylor, C. (PI)
;
Velcheva, K. (PI)
;
Yang, K. (PI)
;
Aboumrad, G. (TA)
;
Fauteux-Chapleau, F. (TA)
;
Larson, M. (TA)
;
Li, H. (TA)
;
Love, J. (TA)
;
Pham, H. (TA)
;
Truong Vu, N. (TA)
;
Wang, G. (TA)
;
Zavyalov, B. (TA)
;
Zhou, Y. (TA)

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