國立高雄大學圖資館 |

Language: English

Back

On shape sensitivity analysis.

Record Type:	Electronic resources : Monograph/item
Title/Author:	On shape sensitivity analysis.
Author:	Feijoo, Gonzalo Raul.
Description:	109 p.
Notes:	Co-Advisers: Thomas J. R. Hughes; Peter M. Pinsky.
Notes:	Source: Dissertation Abstracts International, Volume: 64-03, Section: B, page: 1450.
Contained By:	Dissertation Abstracts International64-03B.
Subject:	Engineering, Mechanical.
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3085178
ISBN:	0496329855

On shape sensitivity analysis.
Feijoo, Gonzalo Raul.

On shape sensitivity analysis. [electronic resource] - 109 p.

Co-Advisers: Thomas J. R. Hughes; Peter M. Pinsky.

Thesis (Ph.D.)--Stanford University, 2003.

On the other hand, it is fair to say that the theory of mathematical programming, or the solution of nonlinear constrained optimization problems in several variables, has reached maturity, and there are several robust algorithms that can be used to treat different classes of problems. If the functionals and constraints in the optimization problem are differentiable, it makes sense to use derivative information to efficiently find the optimum of the mathematical program.

ISBN: 0496329855Subjects--Topical Terms:

212470
Engineering, Mechanical.

On shape sensitivity analysis.
LDR:03162nmm _2200301 _450 001 161896
005 20051017073349.5
008 230606s2003 eng d
020 $a 0496329855
035 $a 00148397
035 $a 161896
040 $a UnM $c UnM
100 0 $a Feijoo, Gonzalo Raul. $3 226985
245 1 0 $a On shape sensitivity analysis. $h [electronic resource]
300 $a 109 p.
500 $a Co-Advisers: Thomas J. R. Hughes; Peter M. Pinsky.
500 $a Source: Dissertation Abstracts International, Volume: 64-03, Section: B, page: 1450.
502 $a Thesis (Ph.D.)--Stanford University, 2003.
520 # $a On the other hand, it is fair to say that the theory of mathematical programming, or the solution of nonlinear constrained optimization problems in several variables, has reached maturity, and there are several robust algorithms that can be used to treat different classes of problems. If the functionals and constraints in the optimization problem are differentiable, it makes sense to use derivative information to efficiently find the optimum of the mathematical program.
520 # $a Several problems in science and engineering can be posed as optimization problems with constraints given by boundary-value problems. For example, finding the shape of an object immersed in an acoustic medium given scattering information at certain locations and frequencies is one of them. In this inverse acoustic scattering problem the cost functional is the mismatch between the scattering pattern obtained from a trial solution and the measured one. The scattering pattern corresponding to the trial solution satisfies the wave-equation with the Sommerfeld radiation condition imposed at infinity and appropriate boundary conditions imposed at the surface of the scatterer. This exterior acoustic boundary-value problem is a constraint imposed on the admissible scattering patterns. The "variable" to be optimized is the shape of the scatterer, or equivalently, the domain where the boundary-value problem is posed.
520 # $a The answer to all these questions is the subject of the present work, and more specifically, its application to the solution of inverse acoustic scattering problems. It is shown that a straight differentiation technique is not optimal in this case and a better method, based on the solution of the adjoint equations, is presented.
520 # $a Therefore, assuming that the problem mentioned above is differentiable, we ask the following questions: (1) is it possible to recast this problem as a constrained optimization problem in several variables and therefore use gradient-based optimization algorithms to solve it? (2) if so, what are the corresponding optimization parameters? and (3) how do we calculate the derivatives in the most efficient way?
590 $a School code: 0212.
650 # 0 $a Engineering, Mechanical. $3 212470
650 # 0 $a Computer Science. $3 212513
710 0 # $a Stanford University. $3 212607
773 0 # $g 64-03B. $t Dissertation Abstracts International
790 $a 0212
790 1 0 $a Hughes, Thomas J. R., $e advisor
790 1 0 $a Pinsky, Peter M., $e advisor
791 $a Ph.D.
792 $a 2003
856 4 0 $u http://libsw.nuk.edu.tw/login?url=http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3085178 $z http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3085178