| 書目名稱 | Fast Compact Algorithms and Software for Spline Smoothing | | 編輯 | Howard L. Weinert | | 視頻video | http://file.papertrans.cn/342/341268/341268.mp4 | | 叢書名稱 | SpringerBriefs in Computer Science | | 圖書封面 |  | | 描述 | .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. | | 出版日期 | Book 2013 | | 關(guān)鍵詞 | Cross-validation; Graduation; Interpolation; Smoothing; Spline | | 版次 | 1 | | doi | https://doi.org/10.1007/978-1-4614-5496-0 | | isbn_softcover | 978-1-4614-5495-3 | | isbn_ebook | 978-1-4614-5496-0Series ISSN 2191-5768 Series E-ISSN 2191-5776 | | issn_series | 2191-5768 | | copyright | The Author(s) 2013 |
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