Syllabus

 

Week-By-Week Syllabus

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The section numbers below refer to the course text, Matrix Computations (4th edition).

Week

Lecture

Notes

1

Aug 24 No Class
Aug 26 Introduction
Aug 28

Matrix Vector Products

 
1.1, 2.1  
1.2, 1.3

2

Aug 31 Diags, Permutations, Kron
Sep 2 Norms, SVD
Sep 4 Fast Transforms
1.2, 1.3
2.2, 2.3, 2.4
1.4       ShowSVDCompress.m, Clock.jpg

3

Sep 7 No Class
Sep 9 Condition & Floating Point
Sep 11 LU Factorization
 
2.6, 2.7            A1 Due 9/9
3.1, 3.2

4

Sep 14 Roundoff & Pivoting
Sep 16 Condition Estimation
Sep 18 Positive Definite Systems
3.3, 3.4
3.5
4.1, 4.2

5

Sep 21 Banded Systems
Sep 23 Block Structured Systems
Sep 25 Fast Poisson Solvers
4.3
4.5, 12.3         A2 Due 9/23
4.8

6

Sep 28 Sparse Lin System Solvers
Sep 30 Conjugate Gradients
Oct 2 Preconditioning
11.1, 11.2
11.3
11.5

7

Oct 5 Orthogonal Trans
Oct 7 The QR Factorization
Oct 9 Linear Least Squares
5.1
5.2                  A3 Due 10/7
5.3

8

Oct 12 No Class
Oct 14 Rank Deficient Problems
Oct 16 Constrained LS
 
5.4, 5.5
6.1, 6.2

9

Oct 19 Subspace Computations
Oct 21 Total Least Squares
Oct 23  
6.4
6.3
 11.4        A4 Due 10/23

10

Oct 26 Symmetric Eigenproblem
Oct 28 No Class
Oct 30  Jacobi Methods
8.1, 8.2
Take-Home Midterm (10/26-10/30)
8.5

11

Nov 2 Methods for Tridiag Probs
Nov 4 Lanczos Method
Nov 6 SVD Methods, Sparse LS
8.3, 8.4
10.1, 10.3
8.6, 10.4, 11.4

12

Nov 9 Unsymmetric Eigenproblem
Nov 11 Power Iterations
Nov 13 Hessenberg Reduction
7.1, 7.2           A5  Due 11/9
7.3
7.4

13

Nov 16 Schur Form
Nov 18 Arnoldi Method
Nov 20 Matrix Functions
7.5
7.6, 10.5
9.1, 9.2

14

Nov 23 Matrix Exponential
Nov 25 No Class
Nov 27 No Class
9.3                  A6  Due 11/23
 
 

15

Nov 30 Toeplitz Systems
Dec 2 Structured Rank Problems
Dec 4 Multigrid
4.7, 12.1
12.2
11.6

 

FINAL EXAM:   Thursday, December 17    9:00-11:30 AM, Hollister 110