scholarly journals Second-Order Shape Optimization for Geometric Inverse Problems in Vision

Author(s):  
Jonathan Balzer ◽  
Stefano Soatto
Author(s):  
A. Andrade-Campos

The use of optimization methods in engineering is increasing. Process and product optimization, inverse problems, shape optimization, and topology optimization are frequent problems both in industry and science communities. In this paper, an optimization framework for engineering inverse problems such as the parameter identification and the shape optimization problems is presented. It inherits the large experience gain in such problems by the SiDoLo code and adds the latest developments in direct search optimization algorithms. User subroutines in Sdl allow the program to be customized for particular applications. Several applications in parameter identification and shape optimization topics using Sdl Lab are presented. The use of commercial and non-commercial (in-house) Finite Element Method codes to evaluate the objective function can be achieved using the interfaces pre-developed in Sdl Lab. The shape optimization problem of the determination of the initial geometry of a blank on a deep drawing square cup problem is analysed and discussed. The main goal of this problem is to determine the optimum shape of the initial blank in order to save latter trimming operations and costs.


2020 ◽  
Vol 269 (11) ◽  
pp. 9123-9143
Author(s):  
Raul K.C. Araújo ◽  
Enrique Fernández-Cara ◽  
Diego A. Souza

2011 ◽  
Vol 104 ◽  
pp. 13-22 ◽  
Author(s):  
Adrian Sichau ◽  
Stefan Ulbrich

We present a second order approximation for the robust counterpart of general uncertain nonlinear programs with state equation given by a partial di erential equation.We show how the approximated worst-case functions, which are the essential part of the approximated robust counterpart, can be formulated as trust-region problems that can be solved effciently using adjoint techniques. Further, we describe how the gradients of the worst-case functions can be computed analytically combining a sensitivity and an adjoint approach. This methodis applied to shape optimization in structural mechanics in order to obtain optimal solutions that are robust with respect to uncertainty in acting forces. Numerical results are presented.


2015 ◽  
Vol 9 (2) ◽  
pp. 371-393 ◽  
Author(s):  
Anna Doubova ◽  
◽  
Enrique Fernández-Cara

2015 ◽  
Vol 2015 ◽  
pp. 1-10
Author(s):  
Jerico B. Bacani ◽  
Julius Fergy T. Rabago

The exterior Bernoulli free boundary problem was studied via shape optimization technique. The problem was reformulated into the minimization of the so-called Kohn-Vogelius objective functional, where two state variables involved satisfy two boundary value problems, separately. The paper focused on solving the second-order shape derivative of the objective functional using the velocity method with nonautonomous velocity fields. This work confirms the classical results of Delfour and Zolésio in relating shape derivatives of functionals using velocity method and perturbation of identity technique.


2014 ◽  
Vol 30 (11) ◽  
pp. 114001 ◽  
Author(s):  
Marco A Iglesias ◽  
Kui Lin ◽  
Andrew M Stuart

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