Compact Finite Difference Schemes for Mixed Initial-boundary Value Problems

Compact Finite Difference Schemes for Mixed Initial-boundary Value Problems
Author: Richard B. Philips
Publisher:
Total Pages: 56
Release: 1981
Genre: Boundary value problems
ISBN:

"This paper discusses a class of compact second order accurate finite difference equations for mixed initial-boundary value problems for hyperbolic and convective-diffusion equations. Convergence is proved by means of an energy argument and both types of equations are solved by similar algorithms. For hyperbolic equations an extension of the Lax-Wendroff method is described which incorporates dissipative boundary conditions. Upwind-downwind differencing techniques arise as the formal hyperbolic limit of the convective-diffusion equation. Finally, a finite difference 'chain-rule' transforms the schemes from rectangular to quadrilateral subdomains" -- abstract.

Numerical Solution of Differential Equations

Numerical Solution of Differential Equations
Author: Zhilin Li
Publisher: Cambridge University Press
Total Pages: 305
Release: 2017-11-30
Genre: Mathematics
ISBN: 1107163226

A practical and concise guide to finite difference and finite element methods. Well-tested MATLABĀ® codes are available online.

Acta Numerica 1994: Volume 3

Acta Numerica 1994: Volume 3
Author: Arieh Iserles
Publisher: Cambridge University Press
Total Pages: 582
Release: 1994-07-29
Genre: Mathematics
ISBN: 9780521461818

Acta Numerica is an annual volume presenting survey papers in numerical analysis accessible to graduate students and researchers. Highlights of the 1994 issue are articles on domain decomposition, mesh adaption, pseudospectral methods and neural networks.

Spectral and High Order Methods for Partial Differential Equations ICOSAHOM 2014

Spectral and High Order Methods for Partial Differential Equations ICOSAHOM 2014
Author: Robert M. Kirby
Publisher: Springer
Total Pages: 504
Release: 2015-11-26
Genre: Computers
ISBN: 3319198009

The book contains a selection of high quality papers, chosen among the best presentations during the International Conference on Spectral and High-Order Methods (2014), and provides an overview of the depth and breadth of the activities within this important research area. The carefully reviewed selection of papers will provide the reader with a snapshot of the state-of-the-art and help initiate new research directions through the extensive biography.

High-Performance Computing of Big Data for Turbulence and Combustion

High-Performance Computing of Big Data for Turbulence and Combustion
Author: Sergio Pirozzoli
Publisher: Springer
Total Pages: 257
Release: 2019-05-28
Genre: Technology & Engineering
ISBN: 3030170128

This book provides state-of-art information on high-accuracy scientific computing and its future prospects, as applicable to the broad areas of fluid mechanics and combustion, and across all speed regimes. Beginning with the concepts of space-time discretization and dispersion relation in numerical computing, the foundations are laid for the efficient solution of the Navier-Stokes equations, with special reference to prominent approaches such as LES, DES and DNS. The basis of high-accuracy computing is rooted in the concept of stability, dispersion and phase errors, which require the comprehensive analysis of discrete computing by rigorously applying error dynamics. In this context, high-order finite-difference and finite-volume methods are presented. Naturally, the coverage also includes fundamental notions of high-performance computing and advanced concepts on parallel computing, including their implementation in prospective hexascale computers. Moreover, the book seeks to raise the bar beyond the pedagogical use of high-accuracy computing by addressing more complex physical scenarios, including turbulent combustion. Tools like proper orthogonal decomposition (POD), proper generalized decomposition (PGD), singular value decomposition (SVD), recursive POD, and high-order SVD in multi-parameter spaces are presented. Special attention is paid to bivariate and multivariate datasets in connection with various canonical flow and heat transfer cases. The book mainly addresses the needs of researchers and doctoral students in mechanical engineering, aerospace engineering, and all applied disciplines including applied mathematics, offering these readers a unique resource.