Computational Methods for Solids and Fluids - Multiscale Analysis, Probability Aspects and Model Reduction (Paperback, Softcover reprint of the original 1st ed. 2016)


This volume contains the best papers presented at the 2nd ECCOMAS International Conference on Multiscale Computations for Solids and Fluids, held June 10-12, 2015. Topics dealt with include multiscale strategy for efficient development of scientific software for large-scale computations, coupled probability-nonlinear-mechanics problems and solution methods, and modern mathematical and computational setting for multi-phase flows and fluid-structure interaction. The papers consist of contributions by six experts who taught short courses prior to the conference, along with several selected articles from other participants dealing with complementary issues, covering both solid mechanics and applied mathematics.

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Product Description

This volume contains the best papers presented at the 2nd ECCOMAS International Conference on Multiscale Computations for Solids and Fluids, held June 10-12, 2015. Topics dealt with include multiscale strategy for efficient development of scientific software for large-scale computations, coupled probability-nonlinear-mechanics problems and solution methods, and modern mathematical and computational setting for multi-phase flows and fluid-structure interaction. The papers consist of contributions by six experts who taught short courses prior to the conference, along with several selected articles from other participants dealing with complementary issues, covering both solid mechanics and applied mathematics.

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Product Details

General

Imprint

Springer International Publishing AG

Country of origin

Switzerland

Series

Computational Methods in Applied Sciences, 41

Release date

March 2019

Availability

Expected to ship within 10 - 15 working days

First published

2016

Editors

Dimensions

235 x 155mm (L x W)

Format

Paperback

Pages

493

Edition

Softcover reprint of the original 1st ed. 2016

ISBN-13

978-3-319-80254-1

Barcode

9783319802541

Categories

LSN

3-319-80254-2



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