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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: Numerical methods for unconstrained optimization and nonlinear equations. Society for Industrial and Applied Mathematics, Philadelphia (1996).
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My Bookmarks | University College London, http://readinglists.ucl.ac.uk/users/68FBE472-1695-6D06-25E8-F8CE72594AC2/bookmarks.html.
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Roger Fletcher: Practical Methods of Optimization (Practical Methods of Optimization). John Wiley and Sons Ltd.
6.
Numerical recipes in C. Cambridge University Press, Cambridge (1992).
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Trefethen, L.N., Bau, D.: Numerical linear algebra. Society for Industrial and Applied Mathematics, Philadelphia (1997).
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Bertero, M., Boccacci, P.: Introduction to inverse problems in imaging. Institute of Physics, Bristol (1998).
9.
Sapiro, G.: Geometric Partial Differential Equations and Image Analysis. Cambridge University Press, Cambridge (2001).
10.
Variational methods in imaging. Springer, New York, NY (2009).
11.
Boyd, S.P., Vandenberghe, L.: Convex optimization. Cambridge University Press, Cambridge (2004).
12.
Jari Kaipio, Erkki Somersalo: Statistical and Computational Inverse Problems (Applied Mathematical Sciences). Springer, New York.
