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Free Download Numerical Methods for Least Squares Problem
English | 2024 | ISBN: 1611977940 | 310 Pages | PDF (True) | 9 MB
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.

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