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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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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.
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L. N. Trefethen and D. Bau, Numerical linear algebra. Philadelphia: Society for Industrial and Applied Mathematics, 1997.
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M. Bertero and P. Boccacci, Introduction to inverse problems in imaging. Bristol: Institute of Physics, 1998.
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G. Sapiro, Geometric Partial Differential Equations and Image Analysis. Cambridge: Cambridge University Press, 2001 [Online]. Available: http://dx.doi.org/10.1017/CBO9780511626319
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Variational methods in imaging. New York, NY: Springer, 2009.
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S. P. Boyd and L. Vandenberghe, Convex optimization. Cambridge: Cambridge University Press, 2004.
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Jari Kaipio and Erkki Somersalo, Statistical and Computational Inverse Problems (Applied Mathematical Sciences). New York: Springer [Online]. Available: https://link.springer.com/book/10.1007/b138659