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The FP7 project nanoCOPS derives new methods for simulation during development of designs of integrated products.
The approach relies on well-known series expansion methods for simulation of a Gaussian random field.
Furthermore, disciplinary approaches and methods for simulation and optimization might not be familiar to all participants.
Spectral methods for simulation of a mesoscopic diffusion model of surface pattern formation are evaluated for long simulation times.
Systems biology provides new approaches for metabolic engineering through the development of models and methods for simulation and optimization of microbial metabolism.
Numerical methodology for the simulation of nozzle acoustic performance is described in detail, including methods for simulation of near and far field of a nozzle, for generation of input perturbations and for the processing the far-field noise.
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Existing methods for simulation-based optimization (SBO) barely explore the preference on descriptive complexity and thus do not solve the problem efficiently.
Swisher et al. (2000) and Fu (2002) stated in their papers that there is still a big gap between optimization methods for simulation-based optimization used in commercial software and methods available in the research literature.
To develop fast finite element (FE) adaptation methods for simulation-driven design optimization, we propose a radial basis functions (RBF) method with a skeleton-section template to globally and locally deform FE meshes of thin-walled beam structures.
With the increasing complexity of operations, engineers are relying on simulation to synthesize models for mathematical optimization or else applying derivative-free methods for simulation-based optimization, which requires only the sampling of the objective function.
We present a set of numerical methods for simulations of microstructural evolution in elastically stressed solids.
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