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Fast Compact Algorithms and Software for Spline Smoothing
Howard L. Weinert
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Description for Fast Compact Algorithms and Software for Spline Smoothing
paperback. Series: SpringerBriefs in Computer Science. Num Pages: 53 pages, 2 black & white illustrations, 5 colour illustrations, 6 black & white tables, biography. BIC Classification: PDE; TBJ; TTBM; UFM. Category: (P) Professional & Vocational. Dimension: 234 x 156 x 2. Weight in Grams: 107.
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 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.
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 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.
Product Details
Format
Paperback
Publication date
2012
Publisher
Springer-Verlag New York Inc. United States
Number of pages
53
Condition
New
Series
SpringerBriefs in Computer Science
Number of Pages
45
Place of Publication
New York, NY, United States
ISBN
9781461454953
SKU
V9781461454953
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
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