Fast automatic differentiation in problems variations four-dimensional data assimilation (4Dvar)

被引：1
|
作者：
Evtushenko, Y. G. [1 ]
Gorchakov, A. Y. [1 ]
Goloviznin, V. M. [2 ,3 ]
机构：
[1] Russian Acad Sci, Dorodnicyn Comp Ctr, Fed Res Ctr Comp Sci & Control, Moscow, Russia
[2] Russian Acad Sci, Nucl Safety Inst, Moscow, Russia
[3] Lomonosov Moscow State Univ, Moscow, Russia
来源：
3RD ALL-RUSSIAN SCIENTIFIC CONFERENCE THERMOPHYSICS AND PHYSICAL HYDRODYNAMICS WITH THE SCHOOL FOR YOUNG SCIENTISTS | 2018年 / 1128卷
基金：
俄罗斯科学基金会;
关键词：
D O I：
10.1088/1742-6596/1128/1/012001
中图分类号：
O64 [物理化学（理论化学）、化学物理学];
学科分类号：
070304 ; 081704 ;
摘要：
The experience of using the technology of Fast Automatic Differentiation (FAD) is described to restore the initial data of a model hydrodynamic flow with a free boundary based on the results of spatial-temporal monitoring of velocity, density and free surface components. The solution of the direct problem is realized according to the CABARET scheme, for which the construction of the conjugate system is a serious independent task. Currently, there are available open computer codes that allow the implementation of FAD technology in the "black box" mode, submitting to its input the executable "author's" code for solving a direct problem. The model problem was solved with the help of the Adept 1.1 package, while using the 3-pass algorithm, which reduces the requirements for the amount of RAM.
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页数：6
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