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Titlebook: Approximation Theory XIV: San Antonio 2013; Gregory E. Fasshauer,Larry L. Schumaker Conference proceedings 2014 Springer International Pub

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發(fā)表于 2025-3-21 18:00:33 | 只看該作者 |倒序瀏覽 |閱讀模式
期刊全稱Approximation Theory XIV: San Antonio 2013
影響因子2023Gregory E. Fasshauer,Larry L. Schumaker
視頻videohttp://file.papertrans.cn/161/160397/160397.mp4
發(fā)行地址Features peer-reviewed contributions from international experts in approximation theory.Provides a resource for participants to get a broad view of current research in approximation theory.Papers will
學(xué)科分類Springer Proceedings in Mathematics & Statistics
圖書封面Titlebook: Approximation Theory XIV: San Antonio 2013;  Gregory E. Fasshauer,Larry L. Schumaker Conference proceedings 2014 Springer International Pub
影響因子These proceedings were prepared in connection with the 14th International Conference on Approximation Theory, which was held April 7-10, 2013 in San Antonio, Texas. The conference was the fourteenth in a series of meetings in Approximation Theory held at various locations in the United States. The included invited and contributed papers cover diverse areas of approximation theory with a special emphasis on the most current and active areas such as compressed sensing, isogeometric analysis, anisotropic spaces, radial basis functions and splines. Classical and abstract approximation?is also included.?The book will be of interest to mathematicians, engineers and computer scientists working in approximation theory, computer-aided geometric design, numerical analysis and related application areas.
Pindex Conference proceedings 2014
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2194-1009 d splines. Classical and abstract approximation?is also included.?The book will be of interest to mathematicians, engineers and computer scientists working in approximation theory, computer-aided geometric design, numerical analysis and related application areas.978-3-319-34694-6978-3-319-06404-8Series ISSN 2194-1009 Series E-ISSN 2194-1017
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Strategisches Umfeld von Kfz-Zulieferern,ur algorithms select a correct set of indices at each iteration, as long as the active support is smaller than the actual support of the vector to be recovered, with a proviso on the shape of the vector. Our theoretical findings are illustrated by numerical examples.
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