Bibliography for COMPGV08 / COMPM078: Inverse Problems in Imaging BETA

1.

Curtis R. Vogel. Computational Methods for Inverse Problems (Frontiers in Applied Mathematics). Society for Industrial  Mathematics;

2.

Curtis R. Vogel. Computational Methods for Inverse Problems (Frontiers in Applied Mathematics). Society for Industrial  Mathematics;

3.

J. E. Dennis. Numerical methods for unconstrained optimization and nonlinear equations. Philadelphia: Society for Industrial and Applied Mathematics; 1996.

4.

My Bookmarks | University College London [Internet]. Available from: http://readinglists.ucl.ac.uk/users/68FBE472-1695-6D06-25E8-F8CE72594AC2/bookmarks.html

5.

Roger Fletcher. Practical Methods of Optimization (Practical Methods of Optimization). John Wiley and Sons Ltd;

6.

Numerical recipes in C. Cambridge: Cambridge University Press; 1992.

7.

Trefethen LN, Bau D. Numerical linear algebra. Philadelphia: Society for Industrial and Applied Mathematics; 1997.

8.

Bertero M, Boccacci P. Introduction to inverse problems in imaging. Bristol: Institute of Physics; 1998.

9.

Sapiro G. Geometric Partial Differential Equations and Image Analysis [Internet]. Cambridge: Cambridge University Press; 2001. Available from: http://dx.doi.org/10.1017/CBO9780511626319

10.

Variational methods in imaging. New York, NY: Springer; 2009.

11.

Boyd SP, Vandenberghe L. Convex optimization. Cambridge: Cambridge University Press; 2004.

12.

Jari Kaipio, Erkki Somersalo. Statistical and Computational Inverse Problems (Applied Mathematical Sciences) [Internet]. New York: Springer; Available from: https://link.springer.com/book/10.1007/b138659