scholarly journals Exact model for the response of moderately thick laminates to transverse forces

2019 ◽  
Vol 227 ◽  
pp. 111261 ◽  
Author(s):  
G. Kress ◽  
D. Filipovic
Keyword(s):  
Exact Model ◽  
Thick Laminates

Threaded inserts pull-through behaviour in carbon-epoxy thick laminates

2017 ◽  
Vol 173 ◽  
pp. 86-95 ◽  
Author(s):  
Edoardo Maria Carrai ◽  
Alessia Prato ◽  
Marco Anghileri
Keyword(s):  
Pull Through ◽  
Thick Laminates

Design method of exact model matching control for finite Volterra series systems

1997 ◽  
Vol 68 (1) ◽  
pp. 107-124 ◽  
Author(s):  
Osamu Yamanaka ◽  
Hiromitsu Ohmori ◽  
Akira Sano
Keyword(s):  
Volterra Series ◽  
Design Method ◽  
Model Matching ◽  
Exact Model ◽  
Series Systems

A New Method for Modeling the Behavior of Finite Population Evolutionary Algorithms

2010 ◽  
Vol 18 (3) ◽  
pp. 451-489 ◽  
Author(s):  
Tatsuya Motoki
Keyword(s):  
Markov Chain ◽  
Evolutionary Algorithms ◽  
Finite Population ◽  
Fitness Landscape ◽  
Markov Chain Model ◽  
Search Space ◽  
Chain Model ◽  
Transition Matrices ◽  
Memory Space ◽  
Exact Model

As practitioners we are interested in the likelihood of the population containing a copy of the optimum. The dynamic systems approach, however, does not help us to calculate that quantity. Markov chain analysis can be used in principle to calculate the quantity. However, since the associated transition matrices are enormous even for modest problems, it follows that in practice these calculations are usually computationally infeasible. Therefore, some improvements on this situation are desirable. In this paper, we present a method for modeling the behavior of finite population evolutionary algorithms (EAs), and show that if the population size is greater than 1 and much less than the cardinality of the search space, the resulting exact model requires considerably less memory space for theoretically running the stochastic search process of the original EA than the Nix and Vose-style Markov chain model. We also present some approximate models that use still less memory space than the exact model. Furthermore, based on our models, we examine the selection pressure by fitness-proportionate selection, and observe that on average over all population trajectories, there is no such strong bias toward selecting the higher fitness individuals as the fitness landscape suggests.

scholarly journals Structural Exact Model Matching Conditions for Generalized Linear Systems

2003 ◽  
Vol 39 (2) ◽  
pp. 136-142
Author(s):  
Shigehiko FURUYA ◽  
Nobuaki KOBAYASHI ◽  
Ryoichi SUZUKI ◽  
Takayoshi NAKAMIZO
Keyword(s):  
Linear Systems ◽  
Model Matching ◽  
Matching Conditions ◽  
Exact Model

scholarly journals Exact model structures and recollements

2016 ◽  
Vol 458 ◽  
pp. 265-306 ◽  
Author(s):  
James Gillespie
Keyword(s):  
Exact Model ◽  
Model Structures
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