Parallel multigrid for large-scale least squares sensitivity

Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Aeronautics and Astronautics, 2013.

Bibliographic Details
Main Author: Gomez, Steven A
Other Authors: Qiqi Wang.
Format: Thesis
Language:eng
Published: Massachusetts Institute of Technology 2013
Subjects:
Online Access:http://hdl.handle.net/1721.1/82481
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author Gomez, Steven A
author2 Qiqi Wang.
author_facet Qiqi Wang.
Gomez, Steven A
author_sort Gomez, Steven A
collection MIT
description Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Aeronautics and Astronautics, 2013.
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spelling mit-1721.1/824812019-04-12T21:40:10Z Parallel multigrid for large-scale least squares sensitivity Parallel multigrid for large-scale LSS Gomez, Steven A Qiqi Wang. Massachusetts Institute of Technology. Department of Aeronautics and Astronautics. Massachusetts Institute of Technology. Department of Aeronautics and Astronautics. Aeronautics and Astronautics. Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Aeronautics and Astronautics, 2013. This electronic version was submitted and approved by the author's academic department as part of an electronic thesis pilot project. The certified thesis is available in the Institute Archives and Special Collections. Cataloged from department-submitted PDF version of thesis Includes bibliographical references (p. 85-86). This thesis presents two approaches for efficiently computing the "climate" (long- time average) sensitivities for dynamical systems. Computing these sensitivities is essential to performing engineering analysis and design. The first technique is a novel approach to solving the "climate" sensitivity problem for periodic systems. A small change to the traditional adjoint sensitivity equations results in a method which can accurately compute both instantaneous and long-time averaged sensitivities. The second approach deals with the recently developed Least Squares Sensitivity (LSS) method. A multigrid algorithm is developed that can, in parallel, solve the discrete LSS system. This generic algorithm can be applied to ordinary differential equations such as the Lorenz System. Additionally, this parallel method enables the estimation of climate sensitivities for a homogeneous isotropic turbulence model, the largest scale LSS computation performed to date. by Steven A. Gomez. S.M. 2013-11-18T20:40:48Z 2013-11-18T20:40:48Z 2013 2013 Thesis http://hdl.handle.net/1721.1/82481 862228721 eng M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582 86 p. application/pdf Massachusetts Institute of Technology
spellingShingle Aeronautics and Astronautics.
Gomez, Steven A
Parallel multigrid for large-scale least squares sensitivity
title Parallel multigrid for large-scale least squares sensitivity
title_full Parallel multigrid for large-scale least squares sensitivity
title_fullStr Parallel multigrid for large-scale least squares sensitivity
title_full_unstemmed Parallel multigrid for large-scale least squares sensitivity
title_short Parallel multigrid for large-scale least squares sensitivity
title_sort parallel multigrid for large scale least squares sensitivity
topic Aeronautics and Astronautics.
url http://hdl.handle.net/1721.1/82481
work_keys_str_mv AT gomezstevena parallelmultigridforlargescaleleastsquaressensitivity
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