Genetic algorithm and Taylor development of the finite element solution for shape optimization of electromagnetic devices

1998 ◽  
Vol 34 (5) ◽  
pp. 2841-2844 ◽  
Author(s):  
L. Saludjian ◽  
J.L. Coulomb ◽  
A. Izabelle
Keyword(s):  
Genetic Algorithm ◽  
Finite Element ◽  
Shape Optimization ◽  
Finite Element Solution ◽  
Element Solution ◽  
Electromagnetic Devices

scholarly journals Robust Iterative Solvers for Gao Type Nonlinear Beam Models in Elasticity

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
B. Borsos ◽  
János Karátson
Keyword(s):  
Finite Element ◽  
Newton Method ◽  
Newton's Method ◽  
Numerical Experiments ◽  
Elliptic Problems ◽  
Iterative Solvers ◽  
Finite Element Solution ◽  
Element Solution ◽  
Nonlinear Beam ◽  
Quasi Newton

Abstract The goal of this paper is to present various types of iterative solvers: gradient iteration, Newton’s method and a quasi-Newton method, for the finite element solution of elliptic problems arising in Gao type beam models (a geometrical type of nonlinearity, with respect to the Euler–Bernoulli hypothesis). Robust behaviour, i.e., convergence independently of the mesh parameters, is proved for these methods, and they are also tested with numerical experiments.

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