Calendar

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Last modified: Mon Apr 22 13:34:52 PDT 2019

	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	Lec 6: Chap 1 Filtering		Lec 6: Chap 1 Filtering (cont.)		Chap 6 Parameter Identification
4	Chap 6 Parameter Identification (cont.)		Convergence		Model Validation
5	Chap 4 Statistical Estimation Theory HW1 Due		Chap 4 Statistical Estimation Theory (cont.)		"Gradient-based Methods for Optimization": Part 2 "Stochastic Spectral Approaches to Bayesian Inference"
6	Unconstrained Optimization Proposal Due		Steepest Descent		Line Search
7	Newton's Method HW2 Due		Newton Convergence		Inexact Newton and Quasi-Newton Last day to change to S/U
8	Nonlinear Least Squares and Gauss-Newton		Levenberg-Marquardt and Trust Regions		Chap 9 Constrained Optimization
9	Memorial Day No Classes		Gradient Projection Method HW3 Due
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