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The benchmark problem consists of an incompressible, viscous fluid interacting with a structure composed of two layers: a thin elastic layer with mass which is in contact with the fluid and modeled by the Koiter membrane/shell equations, and a thick elastic layer with mass modeled by the equations of linear elasticity.
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For the task, the results obtained on a benchmark problem consisting of a set of NIR spectra of diesel fuels and six different chemico-physical properties of those fuels is discussed.
A simulation case study of spherical two-tank system and an experimental case study of a benchmark problem consisting of three tanks are used to validate the proposed modeling strategy.
Solving the normalization problem consists of finding these correction factors.
The two benchmark problems consist respectively in the drag minimization of the RAE 2822 airfoil in transonic viscous flow and of the NACA 0012 airfoil in transonic inviscid flow.
Benchmark problems involve 2 20 variables with a few to hundreds of local minima whereas PEC and PS problems consist of multiple components with comparable minima.
Different optimization problems consist of different dimensions.
The benchmark suite consists of the NK - Kauffman complex landscape, with various sizes and complexities, which is chosen as an exemplar case of classical NP-complete optimization problem.
This benchmark set consists of mid-level micro-benchmarks implemented on OpenGL ES 3.1, which are carefully chosen for different workloads.
The benchmark system consists of 6 thermal generators, 2 wind farms, 41 branches, and 21 loads.
The benchmark set consists of a collection of 1235 SMARTS substructure expressions and selected molecules from the ZINC database.
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