Syllabus 18.06 MWF 10am Room 54-100 Fall 2009 Lect 01: 09.09 W: The Geometry of Linear Equations Lect 02: 09.11 F: Elimination with Matrices Lect 03: 09.14 M: Matrix Operations and Inverses Lect 04: 09.16 W: LU and LDU Factorization. Problem Set 1 due. Lect 05: 09.18 F: Transposes and Permutations Lect 06 09.21 M: Vector Spaces and Subspaces Lect 07: 09.23 W: The Nullspace: Solving Ax = 0. Problem Set 2 due. Lect 08: 09.25 F: Rectangular PA = LU and Ax = b Lect 09: 09.28 M: Row Reduced Echelon Form Lect 10: 09.30 W: Basis and Dimension. Problem Set 3 due. Lect 11: 10.02 F: The Four Fundamental Subspaces 10.05 M: EXAM 1. Chapters 1--3. Lect 12: 10.07 W: Graphs and Networks. Problem Set 4 due. Lect 13: 10.09 F: Orthogonality 10.12 M: holiday -- Columbus day Lect 14: 10.13 T: Projections and Subspaces Lect 15: 10.14 W: Least Squares Approximations. Problem Set 5 due. Lect 16: 10.16 F: Gram-Schmidt and A = QR Lect 17: 10.19 M: Properties of Determinants Lect 18: 10.21 W: Formulas for Determinants. Problem Set 6 due. Lect 19: 10.23 F: Applications of Determinants 10.26 M: EXAM 2. Chapters 1--5, 8.2. Lect 20: 10.28 W: Eigenvalues and Eigenvectors. Problem Set 7 due. Lect 21: 10.30 F: Diagonalization Lect 22: 11.02 M: Markov Matrices Lect 23: 11.04 W: Fourier Series, FFT, Complex Matrices. Problem Set 8 due. Lect 24: 11.06 F: Differential Equations Lect 25: 11.09 M: Symmetric Matrices 11.11 W: holiday -- Veteran's day Lect 26: 11.13 F: Positive Definite Matrices. Problem Set 9 due. Lect 27: 11.16 M: Matrices in Engineering Lect 28: 11.18 W: Similar Matrices. Problem Set 10 due. Lect 29: 11.20 F: Singular Value Decomposition 11.23 M: EXAM 3. Chapters 1--6, 8. Lect 30: 11.25 W: Linear Transformations. Problem Set 11 due. 11.27 F: holiday - Thanksgiving Lect 31: 11.30 M: Choice of Basis Lect 32: 12.02 W: Linear Programming. Problem Set 12 due. Lect 33: 12.04 F: Optimization Lect 34: 12.07 M: Numerical Linear Algebra Lect 35: 12.09 W: Course review 12.14-18: FINAL EXAM