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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); 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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