printer friendly pageMATH 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
ENGR 108 cover complementary topics in applied linear algebra. The focus of
MATH 104 is on algorithms and concepts; the focus of
ENGR 108 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:
Kim, G. (PI)
;
Ma, C. (PI)
;
Taylor, C. (PI)
;
Ying, L. (PI)
;
Diaconu, S. (TA)
;
Guijarro Ordonez, J. (TA)
;
Li, H. (TA)
;
Marsden, M. (TA)
;
Perlman, M. (TA)
;
Raksit, A. (TA)
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