Compartir
Numerical Geometry, Grid Generation and Scientific Computing: Proceedings of the 10th International Conference, Numgrid 2020 / Delaunay 130, Celebrati (en Inglés)
Garanzha, Vladimir A. ; Kamenski, Lennard ; Si, Hang (Autor)
·
Springer
· Tapa Dura
Numerical Geometry, Grid Generation and Scientific Computing: Proceedings of the 10th International Conference, Numgrid 2020 / Delaunay 130, Celebrati (en Inglés) - Garanzha, Vladimir A. ; Kamenski, Lennard ; Si, Hang
319,95 €
336,79 €
Ahorras: 16,84 €
Elige la lista en la que quieres agregar tu producto o crea una nueva lista
✓ Producto agregado correctamente a la lista de deseos.
Ir a Mis Listas
Origen: Estados Unidos
(Costos de importación incluídos en el precio)
Se enviará desde nuestra bodega entre el
Miércoles 31 de Julio y el
Lunes 19 de Agosto.
Lo recibirás en cualquier lugar de España entre 1 y 5 días hábiles luego del envío.
Reseña del libro "Numerical Geometry, Grid Generation and Scientific Computing: Proceedings of the 10th International Conference, Numgrid 2020 / Delaunay 130, Celebrati (en Inglés)"
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.
