ISBN: | 9781316519639 : |
编目源: | LBSOR/DLC DLC OCLCO OCLCF UKMGB YDX OCLCO SCT |
个人名称: | Abarbanel, H. D. I., |
题名: | The statistical physics of data assimilation and machine learning / Edited by Henry D.I. Abarbanel (University of California, San Diego). |
出版发行项: | Cambridge, United Kingdom ; New York, NY : Cambridge University Press, 2022. |
载体形态: | xvii, 187 pages : illustrations (some color) ; 25 cm |
书目附注: | Includes bibliographical references (pages 174-182) and index. |
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. |