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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

  • Conference proceedings
  • © 2019

Overview

Part of the book series: Lecture Notes in Computational Science and Engineering (LNCSE, volume 131)

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Table of contents (22 papers)

  1. Voronoi Meshing: Theory, Algorithms, and Applications

  2. Mesh Optimization

  3. Mesh-Based Methods of Optimization and Optimal Control

  4. Numerical Geometry and Simulation

Keywords

About this book

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 150th 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.



Editors and Affiliations

  • Federal Research Center of Informatics and Control, Russian Academy of Sciences, Dorodnitsyn Computing Centre, Moscow, Russia

    Vladimir A. Garanzha

  • m4sim GmbH, Berlin, Germany

    Lennard Kamenski

  • Weierstrass Institute for Applied Analysis and Stochastics (WIAS), Berlin, Germany

    Hang Si

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