Zobrazeno 1 - 10
of 56
pro vyhledávání: '"Steven J. Ruuth"'
Publikováno v:
SIAM Journal on Scientific Computing. 42:A3584-A3609
The discretization of surface intrinsic elliptic partial differential equations (PDEs) poses interesting challenges not seen in flat spaces. The discretization of these PDEs typically proceeds by e...
Publikováno v:
Domain Decomposition Methods in Science and Engineering XXVI ISBN: 9783030950248
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::63eab180710c348592f289ea08e8a88e
https://doi.org/10.1007/978-3-030-95025-5_74
https://doi.org/10.1007/978-3-030-95025-5_74
The DD-CPM software library provides a set of tools for the discretization and solution of problems arising from the closest point method (CPM) for partial differential equations on surfaces. The solvers are built on top of the well-known PETSc frame
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0475f2650ad1cf3fa56adff179d8b697
http://arxiv.org/abs/2110.06322
http://arxiv.org/abs/2110.06322
Publikováno v:
BIRD: BCAM's Institutional Repository Data
instname
instname
The closest point method (Ruuth and Merriman, J. Comput. Phys. 227(3):1943-1961, [2008]) is an embedding method developed to solve a variety of partial differential equations (PDEs) on smooth surfaces, using a closest point representation of the surf
Autor:
Kevin Chow, Steven J. Ruuth
Publikováno v:
Journal of Scientific Computing. 87
In many applications, the governing PDE to be solved numerically contains a stiff component. When this component is linear, an implicit time stepping method that is unencumbered by stability restrictions is often preferred. On the other hand, if the
Publikováno v:
Lecture Notes in Computational Science and Engineering ISBN: 9783030567491
The discretization of elliptic PDEs leads to large coupled systems of equations. Domain decomposition methods (DDMs) are one approach to the solution of these systems, and can split the problem in away that allows for parallel computing.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::50cfd6d969bd5a12564c9b87b35a8fc5
https://doi.org/10.1007/978-3-030-56750-7_53
https://doi.org/10.1007/978-3-030-56750-7_53
Autor:
Argyrios Petras, Steven J. Ruuth
Publikováno v:
Journal of Computational Physics. 312:139-156
Partial differential equations (PDEs) on surfaces arise in a wide range of applications. The closest point method (Ruuth and Merriman, J. Comput. Phys. 227(3):1943-1961, [2008]) is a recent embedding method that has been used to solve a variety of PD
Publikováno v:
Journal of Computational Physics. 421:109697
In \cite{ZH2019}, we developed a boundary treatment method for implicit-explicit (IMEX) Runge-Kutta (RK) methods for solving hyperbolic systems with source terms. Since IMEX RK methods include explicit ones as special cases, this boundary treatment m
Publikováno v:
BIRD: BCAM's Institutional Repository Data
instname
instname
Partial differential equations (PDEs) on surfaces appear in many applications throughout the natural and applied sciences. The classical closest point method (Ruuth and Merriman, J. Comput. Phys. 227(3):1943-1961, [2008]) is an embedding method for s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1bb738b938879a6c72cbef5b110e42ab
https://hdl.handle.net/20.500.11824/791
https://hdl.handle.net/20.500.11824/791
Publikováno v:
Journal of Computational Physics. 297:194-206
Partial differential equations (PDEs) on surfaces arise in a variety of application areas including biological systems, medical imaging, fluid dynamics, mathematical physics, image processing and computer graphics. In this paper, we propose a radial