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Bertero, M. and Boccacci, P. 1998. Introduction to inverse problems in imaging. Institute of Physics.
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Boyd, S.P. and Vandenberghe, L. 2004. Convex optimization. Cambridge University Press.
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Curtis R. Vogel Computational Methods for Inverse Problems (Frontiers in Applied Mathematics). Society for Industrial Mathematics.
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Curtis R. Vogel Computational Methods for Inverse Problems (Frontiers in Applied Mathematics). Society for Industrial Mathematics.
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J. E. Dennis 1996. Numerical methods for unconstrained optimization and nonlinear equations. Society for Industrial and Applied Mathematics.
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Jari Kaipio and Erkki Somersalo Statistical and Computational Inverse Problems (Applied Mathematical Sciences). Springer.
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My Bookmarks | University College London: http://readinglists.ucl.ac.uk/users/68FBE472-1695-6D06-25E8-F8CE72594AC2/bookmarks.html.
[8]
Roger Fletcher Practical Methods of Optimization (Practical Methods of Optimization). John Wiley and Sons Ltd.
[9]
Sapiro, G. 2001. Geometric Partial Differential Equations and Image Analysis. Cambridge University Press.
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Trefethen, L.N. and Bau, D. 1997. Numerical linear algebra. Society for Industrial and Applied Mathematics.
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1992. Numerical recipes in C. Cambridge University Press.
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2009. Variational methods in imaging. Springer.
