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» Quasi-Monte Carlo Methods in Finance
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IOR
2006
192views more  IOR 2006»
13 years 7 months ago
Exact Simulation of Stochastic Volatility and Other Affine Jump Diffusion Processes
The stochastic differential equations for affine jump diffusion models do not yield exact solutions that can be directly simulated. Discretization methods can be used for simulati...
Mark Broadie, Özgür Kaya
TOSN
2011
116views more  TOSN 2011»
13 years 2 months ago
A model framework for greedy routing in a sensor network with a stochastic power scheme
A stochastic model is formulated and analyzed to study the advancements of messages under greedy routing in a sensor network with a power-saving scheme. The aim of this model is g...
Holger Paul Keeler, Peter G. Taylor
LSSC
2001
Springer
13 years 12 months ago
Solving Systems of Linear Algebraic Equations Using Quasirandom Numbers
In this paper we analyze a quasi-Monte Carlo method for solving systems of linear algebraic equations. It is well known that the convergence of Monte Carlo methods for numerical in...
Aneta Karaivanova, Rayna Georgieva
CORR
2010
Springer
135views Education» more  CORR 2010»
13 years 7 months ago
A stochastic analysis of greedy routing in a spatially-dependent sensor network
For a sensor network, as tractable spatially-dependent node deployment model is presented with the property that the density is inversely proportional to the sink distance. A stoc...
H. Paul Keeler
ICCAD
2008
IEEE
125views Hardware» more  ICCAD 2008»
14 years 4 months ago
Practical, fast Monte Carlo statistical static timing analysis: why and how
Statistical static timing analysis (SSTA) has emerged as an essential tool for nanoscale designs. Monte Carlo methods are universally employed to validate the accuracy of the appr...
Amith Singhee, Sonia Singhal, Rob A. Rutenbar