| ISBN： | 9781316519639 : |
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| 编目源： | LBSOR/DLC DLC OCLCO OCLCF UKMGB YDX OCLCO SCT |
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| 个人名称： | Abarbanel, H. D. I., |
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| 题名： | The statistical physics of data assimilation and machine learning / Edited by Henry D.I. Abarbanel (University of California, San Diego). |
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| 出版发行项： | Cambridge, United Kingdom ; New York, NY : Cambridge University Press, 2022. |
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| 载体形态： | xvii, 187 pages : illustrations (some color) ; 25 cm |
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| 书目附注： | Includes bibliographical references (pages 174-182) and index. |
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| 格式化内容附注： | Prologue: Linking "the future" with the present -- A data assimilation reminder -- Remembrance of things path -- SDA variational principles; Euler-Lagrange equations and Hamiltonian formulation -- Using waveform information -- Annealing in the model precision Rf -- Discrete time integration in data assimilation variational principles; Lagrangian and Hamiltonian formulations -- Monte Carlo methods -- Machine learning and its equivalence to statistical data assimilation -- Two examples of the practical use of data assimilation -- Unfinished business. |
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