05_InverseProblemAndOptimization.md

References:

1. Inverse Problems and Imaging
2. ErSE 210: Basic Seismology, Gerard Schuster, KAUST
3. Insight in Inverse Methods — A Simple Example
4. Inverse problems: an introduction, Kirchgraber-Kirsch-Stoffer
5. Haber, Eldad. Numerical strategies for the solution of inverse problems. Diss. University of British Columbia, 1997.
6. Lecture 13: Non-linear least squares and the Gauss-Newton method, Michael S. Floater
7. Gauss-Newton Method

Adjoint Methods

1. Shewchuk, Jonathan Richard. "An introduction to the conjugate gradient method without the agonizing pain." (1994): 7.
2. Johnson, Steven G. "Notes on adjoint methods for 18.335." Introduction to Numerical Methods (2012).
3. Some Brief Mathematical Notes,Prof. Steven G. Johnson, Dept. of Mathematics, MIT

Optimization

1. Convex Optimization. Stephen Boyd
2. Video Lecture: Optimization Methods for Machine Learning and Engineering (KIT Winter Term 20/21)
3. Baudin, Michaël. "Introduction to Unconstrained Optimization." (2011).
4. Vuik, C. "Krylov subspace solvers and preconditioners." ESAIM: Proceedings and Surveys 63 (2018): 1-43.
5. Numerical-optimization-