Fast Compact Algorithms Software by Weinert Howard (15 results)
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Published by Springer, 2012
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Paperback. Condition: New. 2013 ed. Fast Compact Algorithms and Software for Spline Smoothing investigates algorithmic alternatives for computing cubic smoothing splines when the amount of smoothing is determined automatically by minimizing the generalized cross-validation score. These algorithms are based on Cholesky factorizat…ion, QR factorization, or the fast Fourier transform. All algorithms are implemented in MATLAB and are compared based on speed, memory use, and accuracy. An overall best algorithm is identified, which allows very large data sets to be processed quickly on a personal computer.
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Published by Springer, 2012
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Published by Springer 2012-10-11, 2012
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Published by Springer, 2012
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Published by Springer, 2012
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Published by Springer-Verlag New York Inc, 2012
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Published by Springer, Springer, 2012
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Fast Compact Algorithms and Software for Spline Smoothing investigates algorithmic alternatives for computing cubic smoothing splines when the amount of smoothing is determined automatically by minimizing the generalized cross-validation score. The…se algorithms are based on Cholesky factorization, QR factorization, or the fast Fourier transform. All algorithms are implemented in MATLAB and are compared based on speed, memory use, and accuracy. An overall best algorithm is identified, which allows very large data sets to be processed quickly on a personal computer.
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Published by Springer-Verlag New York Inc., US, 2012
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Paperback. Condition: New. 2013 ed.
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Published by Springer New York, 2012
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Condition: Sehr gut. Zustand: Sehr gut | Seiten: 56 | Sprache: Englisch | Produktart: Bücher | Fast Compact Algorithms and Software for Spline Smoothing investigates algorithmic alternatives for computing cubic smoothing splines when the amount of smoothing is determined automatically by minimizing the generalized cross-validati…on score. These algorithms are based on Cholesky factorization, QR factorization, or the fast Fourier transform. All algorithms are implemented in MATLAB and are compared based on speed, memory use, and accuracy. An overall best algorithm is identified, which allows very large data sets to be processed quickly on a personal computer.
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Published by Springer-Verlag New York Inc., 2012
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Published by Springer New York Okt 2012, 2012
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Fast Compact Algorithms and Software for Spline Smoothing investigates algorithmic alternatives for computing cubic smoothing splines when the amount of smoothing is determined automatically by minimizing the generalized cross-valid…ation score. These algorithms are based on Cholesky factorization, QR factorization, or the fast Fourier transform. All algorithms are implemented in MATLAB and are compared based on speed, memory use, and accuracy. An overall best algorithm is identified, which allows very large data sets to be processed quickly on a personal computer. 56 pp. Englisch.
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Published by Springer New York, 2012
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Fast Compact Algorithms and Software for Spline Smoothing investigates algorithmic alternatives for computing cubic smoothing splines when the amount of smoothing is determined automatically by minimizing the generali…zed cross-validation score. These.
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Language: English
Published by Springer, Springer Okt 2012, 2012
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Fast Compact Algorithms and Software for Spline Smoothing investigates algorithmic alternatives for computing cubic smoothing splines when the amount of smoothing is determined automatically by minimizing the generalized cross-validatio…n score. These algorithms are based on Cholesky factorization, QR factorization, or the fast Fourier transform. All algorithms are implemented in MATLAB and are compared based on speed, memory use, and accuracy. An overall best algorithm is identified, which allows very large data sets to be processed quickly on a personal computer.Libri GmbH, Europaallee 1, 36244 Bad Hersfeld 56 pp. Englisch.
