株式会社極東書店トップ商品一覧Finite Volumes for Complex Applications VIII - Hyperbolic, Elliptic and Parabolic Problems : FVCA 8, Lille, France, June 2017. Softcover reprint of the original 1st ed. 2017.

商品詳細

Finite Volumes for Complex Applications VIII - Hyperbolic, Elliptic and Parabolic Problems

Finite Volumes for Complex Applications VIII - Hyperbolic, Elliptic and Parabolic Problems : FVCA 8, Lille, France, June 2017. Softcover reprint of the original 1st ed. 2017.

・ISBN 978-3-319-86152-4 paper EUR 149.99

¥40,091.- (税込) (※)価格はご注文時の参考価格となります。
納品価格につきましては書籍の入荷時点で確定となります。
版元の原価改定、外国為替の変動等により異なる場合がございますので、予めご了承下さい。

お気に入り
著者・編者Cances, Clement / Omnes, Pascal (eds.),
シリーズSpringer Proceedings in Mathematics & Statistics
出版社(Springer International Publishing AG, SZ)
出版年月2018
ページ数559 pp.
言語ENG
ニュース番号<M25-4096>

解説

This book is the second volume of proceedings of the 8th conference on "Finite Volumes for Complex Applications" (Lille, June 2017). It includes reviewed contributions reporting successful applications in the fields of fluid dynamics, computational geosciences, structural analysis, nuclear physics, semiconductor theory and other topics.

The finite volume method in its various forms is a space discretization technique for partial differential equations based on the fundamental physical principle of conservation, and recent decades have brought significant advances in the theoretical understanding of the method. Many finite volume methods preserve further qualitative or asymptotic properties, including maximum principles, dissipativity, monotone decay of free energy, and asymptotic stability. Due to these properties, finite volume methods belong to the wider class of compatible discretization methods, which preserve qualitative properties of continuous problems at the discrete l

evel. This structural approach to the discretization of partial differential equations becomes particularly important for multiphysics and multiscale applications.

The book is useful for researchers, PhD and master's level students in numerical analysis, scientific computing and related fields such as partial differential equations, as well as for engineers working in numerical modeling and simulations.