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. (Society for Industrial and Applied Mathematics, 1996).
4.
My Bookmarks | University College London. 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 University Press, 1992).
7.
Trefethen, L. N. & Bau, D. Numerical linear algebra. (Society for Industrial and Applied Mathematics, 1997).
8.
Bertero, M. & Boccacci, P. Introduction to inverse problems in imaging. (Institute of Physics, 1998).
9.
Sapiro, G. Geometric Partial Differential Equations and Image Analysis. (Cambridge University Press, 2001).
10.
Variational methods in imaging. (Springer, 2009).
11.
Boyd, S. P. & Vandenberghe, L. Convex optimization. (Cambridge University Press, 2004).
12.
Jari Kaipio & Erkki Somersalo. Statistical and Computational Inverse Problems (Applied Mathematical Sciences). (Springer).
