Instructor | Chaiwoot Boonyasiriwat (chaiwoot@gmail.com) |
Class Hours | Wednesday (9:00AM-12:00PM) |
Class Room | Computer Lab |
Assessment | class attendance and participation 10, assignments 50, project 40 |
Slides |
01_linear_regression.pdf 02_function_spaces.pdf 03_regularization.pdf 04_optimization.pdf 05_optimization.pdf 06_metaheuristics.pdf 07_nonlinear_problems.pdf 08_adjoint_method.pdf 09_inverse_scattering.pdf |
Week | Date | Topics | Assignments |
---|---|---|---|
1 | Jan 10, 2024 | Introduction to inverse problems, examples of inverse problems, classification of problems, linear regression | |
2 | Jan 17, 2024 | Functional spaces: Euclidean space, metric space, inner product space, Hilbert space | |
3 | Jan 24, 2024 | Rank deficiency, generalized inverse, instability, Tikhonov regularization | |
4 | Jan 31, 2024 | Gradient-based optimization algorithms | |
5 | Feb 7, 2024 | Gradient-based optimization algorithms (continued) | |
6 | Feb 14, 2024 | Metaheuristic optimization algorithms | |
7 | Feb 21, 2024 | Metaheuristic optimization algorithms (continued) | |
8 | Feb 28, 2024 | Nonlinear inverse problem, fast sweeping method | |
9 | Mar 6, 2024 | Adjoint-state method (Plessix, 2006) | |
10 | Mar 13, 2024 | Ray-based inverse scattering, traveltime tomography based on the adjoint method | |
11 | Mar 20, 2024 | Wave-based inverse scattering, frequency-domain waveform modeling, frequency-domain full-waveform inversion | |
12 | Mar 27, 2024 | Time-domain full-waveform inversion | |
13 | Apr 3, 2024 | Introduction to deep learning and Keras | |
14 | Apr 10, 2024 | Deep learning for inverse problems | |
15 | Apr 17, 2024 | Deep learning for inverse problems (continued) | |
16 | Apr 24, 2024 | Deep learning for inverse problems (continued) | |
17 | TBA | Project presentation |