The method of least squares, discovered by Gauss in 1795, is a principal tool for reducing the influence of errors when fitting a mathematical model to given observations. Applications arise in a great number of areas in sciences and engineering. The increased use of automatic data capturing frequently leads to large-scale least squares problems. Such problems can be solved by using recent developments in preconditioned iterative methods and in sparse QR factorization.
The first edition of Numerical Methods for Least Squares Problem was the leading reference on least squares problems for many years. The updated second edition stands out compared to other books on the topic because:
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Åke Björck is a professor emeritus at Linköping University, Sweden. He is the author of many research papers and books on numerical analysis and matrix computations. He served as managing editor of the journal BIT Numerical Mathematics from 1993 to 2003 and he is a Fellow of SIAM.
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