Zobrazeno 1 - 10
of 36
pro vyhledávání: '"Judith Bunder"'
Publikováno v:
Numerische Mathematik. 149:229-272
Equation-free macroscale modelling is a systematic and rigorous computational methodology for efficiently predicting the dynamics of a microscale complex system at a desired macroscale system level. In this scheme, a given microscale model is compute
Publikováno v:
IEEE Journal on Multiscale and Multiphysics Computational Techniques. 6:8-15
Scientists and engineers often create accurate, trustworthy, computational simulation schemes—but all too often these are too computationally expensive to execute over the time or spatial domain of interest. The equation-free approach is to marry s
Publikováno v:
Numerical Algorithms. 87:1729-1748
The ‘equation-free toolbox’ empowers the computer-assisted analysis of complex, multiscale systems. Its aim is to enable scientists and engineers to immediately use microscopic simulators to perform macro-scale system level tasks and analysis, be
Autor:
Anthony Roberts, Judith Bunder
Publikováno v:
Partial Differential Equations in Applied Mathematics. 6:100449
Publikováno v:
ANZIAM Journal. 61:270-285
The Kuramoto–Sivashinsky equation is a prototypical chaotic nonlinear partial differential equation (PDE) in which the size of the spatial domain plays the role of a bifurcation parameter. We investigate the changing dynamics of the Kuramoto–Siva
Autor:
Judith Bunder, Anthony J. Roberts
Publikováno v:
SN Applied Sciences, Vol 3, Iss 7, Pp 1-28 (2021)
Many multiscale physical scenarios have a spatial domain which is large in some dimensions but relatively thin in other dimensions. These scenarios includes homogenization problems where microscale heterogeneity is effectively a ‘thin dimension’.
Publikováno v:
ANZIAM Journal. 61
EMAC 2019 UNSW Canberra, Australia 26th Nov–29th Nov 2019 This Special Section of the ANZIAM Journal (Electronic Supplement) contains the refereed papers from the 14th Engineering Mathematics and Applications Conference (EMAC2019), which was held a
Autor:
Anthony J. Roberts, Judith Bunder
Publikováno v:
Applied Mathematics and Computation. 304:164-179
We consider a general method for the macroscale modelling of nonlinear, nonautomomous partial differential equations or difference equations.Our method is able to resolve the complex fluctuations which arise in nonliner, nonautonomous systems.These f
Publikováno v:
Journal of Computational Physics. 337:154-174
Computational simulation of microscale detailed systems is frequently only feasible over spatial domains much smaller than the macroscale of interest. The ‘equation-free’ methodology couples many small patches of microscale computations across sp
Publikováno v:
SIAM Journal on Scientific Computing. 38:C335-C371
Massive parallelization has lead to a dramatic increase in available computational power. However, data transfer speeds have failed to keep pace and are the major limiting factor in the development of exascale computing. New algorithms must be develo