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Matrix Theory & Numeric Linear Algebra I

Instructor:
Qiang Ye
522
Credits:
3.0
001
Building:
Whitehall Classroom Bldg
Room:
Rm.343
Semester:
Fall 2022
Start Date:
End Date:
Name:
Matrix Theory & Numeric Linear Algebra I
Requisites:

Prereq: MA 322.

Class Type:
LEC
12:00 pm
12:50 pm
Days:
MWF

Review of basic linear algebra from a constructive and geometric point of view. Factorizations of Gauss, Cholesky and Gram-Schmidt. Determinants. Linear least squares problems. Rounding error analysis. Stable methods for updating matrix factorizations and for linear programming. Introduction to Hermitian eigenvalue problems and the singular value decomposition via the QR algorithm and the Lanczos process. Method of conjugate gradients.

Review of basic linear algebra from a constructive and geometric point of view. Factorizations of Gauss, Cholesky and Gram-Schmidt. Determinants. Linear least squares problems. Rounding error analysis. Stable methods for updating matrix factorizations and for linear programming. Introduction to Hermitian eigenvalue problems and the singular value decomposition via the QR algorithm and the Lanczos process. Method of conjugate gradients.

MA