Inverse Problems and Parameter Estimation
GEOS 627/427 University of Alaska Fairbanks
Class code repository (Python) course flyer
Prerequisites: Calculus 3 (MATH 253), Linear Algebra (MATH 314)
Textbooks:
1. Parameter Estimation and Inverse Problems (Aster, Borchers, Thurber)
2. Inverse Problem Theory and Methods for Model Parameter Estimation (Tarantola)
Problem Sets
[1] Matrix operations and decompositions // Aster App. A [math] pdf
[2] Introduction to inverse problems // Aster Ch. 1 [ch1] pdf
[3] Probabilistic inversion for earthquake epicenter // Tarantola 7.1, Ch. 2 [epi] pdf
[4] Covariance functions and Gaussian random fields // Tarantola 5.1-5.3, Aster App. B [cov] pdf
[5A] 2D Gaussian random fields [cov2D] pdf
[5B] Iterative methods with generalized least squares // Tarantola 6.22, Ch. 3 [iter] pdf
[6] Statistical aspects of least squares // Aster Ch. 2 [ch2] pdf
[7] Truncated singular value decomposition // Aster Ch. 3 [grav] pdf
[8] Estimation of magmatic source for InSAR interferogram // remote sensing papers [mogi] pdf
Labs
Fitting a line to scattered data [linefit] pdf
The rejection method of generating samples (associated with PS#3) [sampling] pdf
Samples of a covariance matrix [cov] pdf
Iterative Newton method [newton] pdf
Earthquake location with generalized least squares [iter] pdf
Aster Chapters 2 and 3 examples [ch2] pdf
Geometry of singular value decomposition [svdgeometry] pdf
SVD approach to ballistic problem [svdballistic] pdf
Singular value spectra [svdspectrum] pdf
Estimation of magmatic source for InSAR interferogram [mogi] pdf
Principal component analysis [pca] pdf