Numerical Linear Approximation in C (eBook, PDF)
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Featuring the C programming language to implement algorithms, this work provides a unique collection of linear approximation techniques that can be used to analyze, model, and compress discrete data in a variety of fields. It focuses on various L1, Chebyshev, and least squares approximations, including one-sided, bounded variables, and piecewise. The authors also present the solution of underdetermined systems of consistent linear equations that are subject to different constraints on the elements of the unknown solution vector. They compare numerical results of the algorithms, which are accom...
Featuring the C programming language to implement algorithms, this work provides a unique collection of linear approximation techniques that can be used to analyze, model, and compress discrete data in a variety of fields. It focuses on various L1, Chebyshev, and least squares approximations, including one-sided, bounded variables, and piecewise. The authors also present the solution of underdetermined systems of consistent linear equations that are subject to different constraints on the elements of the unknown solution vector. They compare numerical results of the algorithms, which are accompanied by solved examples, and include a CD-ROM with source code and test drivers.
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