Integral Methods in Science and Engineering : Analytic Treatment and Numerical Approximations. 1st ed. 2019

種類:

電子ブック

責任表示:

edited by Christian Constanda, Paul Harris

出版情報:

Cham : Springer International Publishing : Imprint: Birkhäuser, 2019

著者名:

• Constanda, Christian.
• Harris, Paul.
• SpringerLink (Online service)

ISBN:

9783030160777 [3030160777]    

注記:

1 Singularity Subtraction for Nonlinear weakly Singular Integral Equations of the Second Kind -- 2 On the flow of a viscoplastic fluid in a thin periodic domain -- 3 q-Calculus Formalism for Non-extensive Particle Filter -- 4 Two-operator Boundary-Domain Integral Equations for Variable-Coefficient Dirichlet Problem with General Data -- 5 Two Operator Boundary-Domain Integral Equations for Variable Coefficient Dirichlet Problem in 2D -- 6 Solution of a homogeneous version of Love type integral equation in different asymptotic regimes -- 7 Bending of Elastic Plates: Generalized Fourier Series Method for the Robin Problem -- 8 The adjoint spectral Green's function method applied to direct and inverse neutral particle source-detector problems -- 9 Relaxation of Periodic and Nonstandard Growth Integrals by means Two-scale convergence -- 10 A Stiff Problem: Stationary Waves and Approximations -- 11 Modeling Creep in Concrete under a Variable External Load -- 12 A Combined Boundary Element And Finite Element Model o
This contributed volume contains a collection of articles on state-of-the-art developments on the construction of theoretical integral techniques and their application to specific problems in science and engineering. The chapters in this book are based on talks given at the Fifteenth International Conference on Integral Methods in Science and Engineering, held July 16-20, 2018 at the University of Brighton, UK, and are written by internationally recognized researchers. The topics addressed are wide ranging, and include: Asymptotic analysis Boundary-domain integral equations Viscoplastic fluid flow Stationary waves Interior Neumann shape optimization Self-configuring neural networks This collection will be of interest to researchers in applied mathematics, physics, and mechanical and electrical engineering, as well as graduate students in these disciplines and other professionals for whom integration is an essential tool.

ローカル注記:

学内専用E-BOOKS (local access only)