Computing the principal eigenelements of some linear operators using a branching Monte Carlo method
From MaRDI portal
Publication:956335
DOI10.1016/j.jcp.2008.07.018zbMath1157.65303OpenAlexW2152802648MaRDI QIDQ956335
Publication date: 25 November 2008
Published in: Journal of Computational Physics (Search for Journal in Brave)
Full work available at URL: https://hal.inria.fr/inria-00151884/file/lejay-maire-2008.pdf
Monte Carlo simulationbranching methodrandom walk on rectanglesprincipal eigenvalue for the neutron transport problemprincipal eigenvalue of the Dirichlet problemsimulation of rare events
Lua error in Module:PublicationMSCList at line 37: attempt to index local 'msc_result' (a nil value).
Related Items (2)
Simulating diffusions with piecewise constant coefficients using a kinetic approximation ⋮ Simulation of diffusions by means of importance sampling paradigm
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Computing the principal eigenvalue of the Laplace operator by a stochastic method
- Simulation of a space-time bounded diffusion
- Weak approximation of killed diffusion using Euler schemes.
- A random walk on rectangles algorithm
- Genealogical particle analysis of rare events
- Weighing the Odds
- A Monte Carlo method without grid for a fractured porous domain model
- On a Monte Carlo method for neutron transport criticality computations
- An Exit Probability Approach to Solving High Dimensional Dirichlet Problems
- On the principal eigenvalue of second-order elliptic differential operators
- Alternatives to the Median Absolute Deviation
- Robust estimation of scale of an exponential distribution
- RARE EVENT SIMULATION
- Multidimensional Exponential Timestepping with Boundary Test
This page was built for publication: Computing the principal eigenelements of some linear operators using a branching Monte Carlo method