Best Minimizing Algorithm for Shape-Measure Method
Publish Year: 1391
Type: Conference paper
Language: English
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Document National Code:
ICNMO01_001
Index date: 9 March 2013
Best Minimizing Algorithm for Shape-Measure Method abstract
optimal shape design problems (OSD) in cartesian coordinates is The Shape-Measure method for solvingdivided into two steps. First, for a fixed shape (domain), the problem is transferred to the space of positive determine the optimalentsRadon measures and relaxed to a linear programming in which its optimal coefficipair of trajectory and control. Then, a standard minimizing algorithm is used to identify the best shape. Herewe deal with the best standard algorithm to identify the optimal solution for an OSD sample problemgoverned by an elliptic boundary control problem
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Best Minimizing Algorithm for Shape-Measure Method authors
A. Fakharzadeh J
Corresponding author: Position and Special field of the first author
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