Bertero, M. and Boccacci, P. (1998) Introduction to inverse problems in imaging. Bristol: Institute of Physics.
Boyd, S.P. and Vandenberghe, L. (2004) Convex optimization. Cambridge: Cambridge University Press.
Curtis R. Vogel (no date a) Computational Methods for Inverse Problems (Frontiers in Applied Mathematics). Society for Industrial  Mathematics.
Curtis R. Vogel (no date b) Computational Methods for Inverse Problems (Frontiers in Applied Mathematics). Society for Industrial  Mathematics.
J. E. Dennis (1996) Numerical methods for unconstrained optimization and nonlinear equations. Philadelphia: Society for Industrial and Applied Mathematics.
Jari Kaipio and Erkki Somersalo (no date) Statistical and Computational Inverse Problems (Applied Mathematical Sciences). New York: Springer. Available at: https://link.springer.com/book/10.1007/b138659.
My Bookmarks | University College London (no date). Available at: http://readinglists.ucl.ac.uk/users/68FBE472-1695-6D06-25E8-F8CE72594AC2/bookmarks.html.
Numerical recipes in C (1992). Cambridge: Cambridge University Press.
Roger Fletcher (no date) Practical Methods of Optimization (Practical Methods of Optimization). John Wiley and Sons Ltd.
Sapiro, G. (2001) Geometric Partial Differential Equations and Image Analysis. Cambridge: Cambridge University Press. Available at: http://dx.doi.org/10.1017/CBO9780511626319.
Trefethen, L.N. and Bau, D. (1997) Numerical linear algebra. Philadelphia: Society for Industrial and Applied Mathematics.
Variational methods in imaging (2009). New York, NY: Springer.