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» Monte Carlo simulation approach to stochastic programming
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ASAP
2007
IEEE
157views Hardware» more  ASAP 2007»
15 years 1 months ago
Automatic Generation and Optimisation of Reconfigurable Financial Monte-Carlo Simulations
Monte-Carlo simulations are used in many applications, such as option pricing and portfolio evaluation. Due to their high computational load and intrinsic parallelism, they are id...
David B. Thomas, Jacob A. Bower, Wayne Luk
ISBI
2004
IEEE
15 years 10 months ago
Nanoparticle-Enhanced Proton Computed Tomography: A Monte Carlo Simulation Study
Proton computed tomography (pCT) has the potential to improve the accuracy of proton treatment planning, which is currently based on x-ray computed tomography (xCT). However, at t...
Reinhard Schulte, Vladimir Bashkirov, David Willia...
LSSC
2001
Springer
15 years 1 months ago
An Improved Monte Carlo Algorithm for Elastic Electron Backscattering from Surfaces
The problen of the backscattering of electrons from metal targets is subject of extensive theoreticel and experimental work in surface analysis. We are interested in the angular di...
Ivan Dimov, Emanouil I. Atanassov, Mariya K. Durch...
ICCAD
1992
IEEE
148views Hardware» more  ICCAD 1992»
15 years 1 months ago
McPOWER: a Monte Carlo approach to power estimation
Excessive power dissipation in integrated circuits causes overheating and can lead to soft errors and or permanent damage. The severity of the problem increases in proportion to t...
Richard Burch, Farid N. Najm, Ping Yang, Timothy N...
FLAIRS
2001
14 years 11 months ago
A Practical Markov Chain Monte Carlo Approach to Decision Problems
Decisionand optimizationproblemsinvolvinggraphsarise in manyareas of artificial intelligence, including probabilistic networks, robot navigation, and network design. Manysuch prob...
Timothy Huang, Yuriy Nevmyvaka