PHY2603H F
Inverse Theory
Official description
What is inverse theory in physics and geophysics? When do data-consistent models even exist?
Topics may include the following. Multivariate regression modelling of discrete models, Bayesian approaches, maximum likelihood estimation, with errors and hypothesis testing, both classical and resampling(e.g. bootstrap). Continuous models where spatial resolution is a meaningful concept (Backus-Gilbert theory). The Singular Value Decomposition approach to modelling. Answerable and unanswerable questions in modelling.
Singular Value Decompositions, norms such as L-1, L-infinity. Methods for non-linear modelling: e.g. Markov Chain Monte Carlo (MCMC), simulated annealing, genetic algorithms.
- Prerequisite
- Recommended: PHY308/408S & this course uses MATLAB as its programming language, and expects some knowledge on complex analysis.
- Textbook
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Online notes will be made available as we cover the course material.
- course title
- PHY2603H F
- session
- fall
- group
- specialized course
- time and location
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Time: Wed, 10am-noon, MP505
- instructor
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