Numerical Geometry, Grid Generation and Scientific Computing: Proceedings of the 9th International Conference, NUMGRID 2018 / Voronoi 150, Celebrating the 150th Anniversary of G.F. Voronoi, Moscow, Russia, December 2018

Garanzha, Vladimir A. (Edited by)/ Kamenski, Lennard (Edited by)/ Si, Hang (Edited by)

ISBN 10: 3030234355 / ISBN 13: 9783030234355

Edité par Springer, 2019

A propos de cet article

344 pages. 9.25x6.10x1.02 inches. In Stock.

N° de réf. du vendeur x-3030234355

Détails bibliographiques

• Titre: Numerical Geometry, Grid Generation and Scientific Computing: Proceedings of the 9th International Conference, NUMGRID 2018 / Voronoi 150, Celebrating the 150th Anniversary of G.F. Voronoi, Moscow, Russia, December 2018
• Éditeur: Springer
• Date de parution: 2019
• Langue: anglais
• ISBN à 10 chiffres: 3030234355
• ISBN à 13 chiffres: 9783030234355
• Reliure: Hardcover
• État de l'article: Brand New
• Poids: 0,64 kilogramme

A propos de ce titre

Synopsis

The focus of these conference proceedings is on research, development, and applications in the fields of numerical geometry, scientific computing and numerical simulation, particularly in mesh generation and related problems. In addition, this year's special focus is on Voronoi diagrams and their applications, celebrating the 150^th birthday of G.F. Voronoi.

In terms of content, the book strikes a balance between engineering algorithms and mathematical foundations. It presents an overview of recent advances in numerical geometry, grid generation and adaptation in terms of mathematical foundations, algorithm and software development and applications.

The specific topics covered include: quasi-conformal and quasi-isometric mappings, hyperelastic deformations, multidimensional generalisations of the equidistribution principle, discrete differential geometry, spatial and metric encodings, Voronoi-Delaunay theory for tilings and partitions, duality in mathematical programming and numerical geometry, mesh-based optimisation and optimal control methods. Further aspects examined include iterative solvers for variational problems and algorithm and software development. The applications of the methods discussed are multidisciplinary and include problems from mathematics, physics, biology, chemistry, material science, and engineering.