Calendar

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Last modified: Mon Mar 03 19:21:17 PST 2025

	Mon	Tues	Wed	Thur	Fri
Week 1	Presentation on Electromagnetic Inverse Problems Classes begin		Lec 1: Well-posedness and conditioning		Lec 2: Linear Least Squares problems and Regularization
2	Lec 3: Regularization (cont.)		Lec 4: SVD and Ill-posedness		Lec 5: Ill-conditioning and Low-rank approximations Last day to add/drop
3	MLK Day No Classes		Lec 6: Chap 1 Filtering		Lec 6: Chap 1 Filtering (cont.)
4	Chap 6 Parameter Identification		Chap 6 Parameter Identification (cont.)		Chap 4 Statistical Estimation Theory HW1 Due
5	Chap 4 Statistical Estimation Theory (cont.)		Convergence		Model Validation
6	Unconstrained Optimization Proposal Due		Unconstrained Optimization		Steepest Descent HW2 Due
7	Line Search		Newton's Method		Newton Convergence Last day to change to S/U
8	Inexact Newton		Quasi-Newton		Nonlinear Least Squares and Gauss-Newton HW3 Due
9	"Gradient-based Methods for Optimization": Part 1 Part 2		Levenberg-Marquardt and Trust Regions		Chap 9 Constrained Optimization
10	Gradient Projection Method		"Stochastic Spectral Approaches to Bayesian Inference"		Classes end
11				Final Presentations 9:30 AM