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Titlebook: Dynamic Data Analysis; Modeling Data with D James Ramsay,Giles Hooker Book 2017 Springer Science+Business Media LLC 2017 functional data an

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發(fā)表于 2025-3-25 04:02:32 | 只看該作者
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發(fā)表于 2025-3-25 18:32:18 | 只看該作者
James Ramsay,Giles HookerOffers an accessible text to those with little or no exposure to differential equations as modeling objects.Updates and builds on techniques from the popular Functional Data Analysis (Ramsay and Silve
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發(fā)表于 2025-3-25 23:21:34 | 只看該作者
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發(fā)表于 2025-3-26 00:09:50 | 只看該作者
Book 2017a analysis and building on techniques described in Ramsay and Silverman (2005)?.Functional Data Analysis.. The central concept of a dynamical system as a buffer that translates sudden changes in input into smooth controlled output responses has led to applications of previously analyzed data, openin
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發(fā)表于 2025-3-26 06:17:56 | 只看該作者
0172-7397 from the popular Functional Data Analysis (Ramsay and SilveThis text focuses on the use of smoothing methods for developing and estimating differential equations following recent developments in functional data analysis and building on techniques described in Ramsay and Silverman (2005)?.Functional
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發(fā)表于 2025-3-26 10:21:07 | 只看該作者
https://doi.org/10.1007/978-3-531-19761-6wards in time starting from an initial value, and collocation methods which approximate solutions using a basis expansion. The chapter also discusses when these methods can break down and ways to transform a differential equation to improve their performance.
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