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» Introduction to Monte Carlo simulation
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82
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WSC
2000
14 years 11 months ago
Generating "dependent" quasi-random numbers
Under certain conditions on the integrand, quasi-Monte Carlo methods for estimating integrals (expectations) converge faster asymptotically than Monte Carlo methods. Motivated by ...
Shane G. Henderson, Belinda A. Chiera, Roger M. Co...
WSC
2008
15 years 21 hour ago
A particle filtering framework for randomized optimization algorithms
We propose a framework for optimization problems based on particle filtering (also called Sequential Monte Carlo method). This framework unifies and provides new insight into rand...
Enlu Zhou, Michael C. Fu, Steven I. Marcus
WSC
1998
14 years 11 months ago
Efficiency Improvement by Lattice Rules for Pricing Asian Options
This paper compares Monte Carlo methods, lattice rules, and other low-discrepancy point sets on the problem of evaluating asian options. The combination of these methods with vari...
Christiane Lemieux, Pierre L'Ecuyer
ICRA
2000
IEEE
99views Robotics» more  ICRA 2000»
15 years 2 months ago
Sensor Resetting Localization for Poorly Modelled Mobile Robots
We present a new localization algorithm called Sensor Resetting Localization which is an extension of Monte Carlo Localization. The algorithm adds sensor based resampling to Monte...
Scott Lenser, Manuela M. Veloso
73
Voted
WSC
2000
14 years 11 months ago
A real options design for quality control charts
We develop a financial model for a manufacturing process where quality can be affected by an assignable cause. We evaluate the options associated with applying a statistical proce...
Harriet Black Nembhard, Leyuan Shi, Mehmet Aktan