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portada Numerical Geometry, Grid Generation and Scientific Computing: Proceedings of the 10th International Conference, Numgrid 2020 / Delaunay 130, Celebrati
Type
Physical Book
Publisher
Author
Language
English
Pages
417
Format
Hardcover
Dimensions
23.4 x 15.6 x 2.5 cm
Weight
0.79 kg.
ISBN13
9783030767976
Categories

Numerical Geometry, Grid Generation and Scientific Computing: Proceedings of the 10th International Conference, Numgrid 2020 / Delaunay 130, Celebrati

Garanzha, Vladimir A. ; Kamenski, Lennard ; Si, Hang (Author) · Springer · Hardcover

Numerical Geometry, Grid Generation and Scientific Computing: Proceedings of the 10th International Conference, Numgrid 2020 / Delaunay 130, Celebrati - Garanzha, Vladimir A. ; Kamenski, Lennard ; Si, Hang

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Synopsis "Numerical Geometry, Grid Generation and Scientific Computing: Proceedings of the 10th International Conference, Numgrid 2020 / Delaunay 130, Celebrati"

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 Delaunay triangulations and their applications, celebrating the 130th birthday of Boris Delaunay. 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.

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