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An approach for an efficient solution of response statistics-based optimization problems of non-linear FE systems under stochastic loading is presented.
Need for an efficient solution algorithm is emphasized in design models considering uncertainties.
To achieve this goal we combine two new ideas for an efficient solution of the problem.
Results are presented for an efficient solution method for second-order accurate discretizations of the 2D steady Euler equations.
Massive parallelism is required for an efficient solution to data mining tasks, considering the proliferation of data and the need for high computational effort.
A reduced predictor-corrector scheme is presented for an efficient solution of the implicit numerical integration of the model in the context of Finite Element calculations.
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In this paper, a very efficient method based on the concept of the genetic algorithms metaheuristic technique is developed for providing an efficient solution for observing a surveying network using space-based satellites systems.
First, this is definitely a problem for which an efficient solution is needed.
For each of them an efficient solution has been conceived using the FOSS tool MicMac.
For high-dimensional cases, an efficient solution was proposed by Indyk and Motwani (1998).
Our proposed design presents an efficient solution for a range of applications where area and performance are both important.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com