Results 281 to 290 of about 79,971 (321)

Some Improvements of the Fast Marching Method

SIAM Journal on Scientific Computing, 2001
Summary: The fast marching method published by \textit{J. A. Sethian} [Proc. Natl. Acad. Sci. USA 93, No. 4, 1591-1595 (1996; Zbl 0852.65055)] is an optimally efficient algorithm for solving problems of front evolution where the front speed is monotonic. It has been used in a wide variety of applications such as robotic path planning [\textit{R. Kimmel}
openaire   +4 more sources

Novel permeability upscaling method using Fast Marching Method

Fuel, 2014
Abstract Despite computational advances, geo-cellular models are routinely upscaled for reservoir simulation purposes. Geo-cellular models typically incorporate small scale variations obtained from static data; whereas, simulation models capture dynamic data obtained from production of the field.
Mohammad Sharifi, Mohan Kelkar
openaire   +3 more sources

Fast Marching Methods

SIAM Review, 1999
The author considers numerical methods for solving the nonlinear eikonal equation \[ |\nabla u(x)|= F(x)\quad\text{in }\Omega\subset \mathbb{R}^2\quad\text{or }\mathbb{R}^3,\tag{1} \] under given boundary conditions \(u=g\) on some prescribed curve or surface \(\Gamma\) in \(\Omega\).
openaire   +4 more sources

Distributed fast marching methods

Proceedings of the 15th ACM Mardi Gras conference: From lightweight mash-ups to lambda grids: Understanding the spectrum of distributed computing requirements, applications, tools, infrastructures, interoperability, and the incremental adoption of key capabilities, 2008
Fast Marching represents a very efficient technique for solving the front propagation problems which can be formulated as boundary value partial differential equations |∇T(x, y)| = 1/F(x, y) on Ω, with Dirichlet boundary condition T(x, y) = 0 on ∂Ω. We show that the problem of computing the distance map across a smooth sampling domain can be posed in ...
Maria Cristina Tugurlan, Blaise Bourdin
openaire   +1 more source

Home - About - Disclaimer - Privacy