Matrix analysis
Matrix computations (3rd ed.)
Rank-deficient and discrete ill-posed problems: numerical aspects of linear inversion
Rank-deficient and discrete ill-posed problems: numerical aspects of linear inversion
Blind Deconvolution: Errors, Errors Everywhere
Computing in Science and Engineering
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Inverse problems are among the most challenging computations in science and engineering because they involve determining the parameters of a system that is only observed indirectly. For example, we might have a spectrum and want to determine the species that produced it as well as their relative proportions. Or we may have sonar measurements of a containment tank and want to know whether it has an internal crack.