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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. Philadelphia: : Society for Industrial and Applied Mathematics 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
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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.
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Bertero M, Boccacci P. Introduction to inverse problems in imaging. Bristol: : Institute of Physics 1998.
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Sapiro G. Geometric Partial Differential Equations and Image Analysis. Cambridge: : Cambridge University Press 2001. http://dx.doi.org/10.1017/CBO9780511626319
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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). New York: : Springer https://link.springer.com/book/10.1007/b138659