Guide Practical multiscaling

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The robustness and design aspects of multiscale methods are also emphasised, which is accomplished via four building blocks: upscaling of information, systematic reduction of information, characterization of information utilizing experimental data, and material optimization. To ensure the reader gains hands-on experience, a companion website hosting a lite version of the multiscale design software MDS-Lite is available.

Practical Multiscaling is an ideal textbook for graduate students studying multiscale science and engineering.

Other Titles by Jacob Fish

It is also a must-have reference for government laboratories, researchers and practitioners in civil, aerospace, pharmaceutical, electronics, and automotive industries, and commercial software vendors. View Student Companion Site.

Publisher Description

He has has written over journal articles, book chapters and has authored two previous books. Fish specializes in Multiscale Science and Engineering with applications to aerospace, automotive industry, civil engineering, biological and material sciences.

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Bourlioux et al. High-order multi-implicit spectral deferred correction methods for problems of reactive flow. Fabian et al. The paraview coprocessing library: A scalable, general purpose in situ visualization library.

Publications | multiscale

Pearson et al. USA en. Model generator for constructing and method of generating a model of an object for finite element analysis. Zhou et al.

Practical Multiscaling

Shojaee et al. Amestoy et al. Kleiss et al. Franca et al.

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Revisiting stabilized finite element methods for the advective—diffusive equation. Houzeaux et al. EPB1 en. Phillips et al.

Practical Multiscaling

Efficient full-wave electromagnetic analysis via model-order reduction of fast integral transforms. Collier et al.