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  • Search: subject:"weak Taylor schemes"
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Year of publication
Subject
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Monte Carlo simulation 2 Field programmable gate arrays (FPGAs) 1 Hardware implementation 1 Multi-point distributed random variables 1 Random bit generators 1 Random number generators 1 Weak Taylor schemes 1 field programmable gate arrays (FPGAs) 1 hardware implementation 1 multi-point distributed random variables 1 random bit generators 1 random bits generators 1 random number generators 1 simplified weak taylor schemes 1 stochastic differential equations 1 weak Taylor schemes 1
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Online availability
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Free 2 Undetermined 1
Type of publication
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Book / Working Paper 2 Article 1
Language
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Undetermined 3
Author
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Platen, Eckhard 3 Bruti-Liberati, Nicola 2 Martini, Filippo 2 Piccardi, Massimo 2 Liberati, Nicola Bruti 1
Institution
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Finance Discipline Group, Business School 2
Published in...
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Research Paper Series / Finance Discipline Group, Business School 2 Mathematics and Computers in Simulation (MATCOM) 1
Source
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RePEc 3
Showing 1 - 3 of 3
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A Hardware Generator of Multi-point Distributed Random Numbers for Monte Carlo Simulation
Bruti-Liberati, Nicola; Martini, Filippo; Piccardi, Massimo - Finance Discipline Group, Business School - 2005
Monte Carlo simulation of weak approximations of stochastic differential equations constitutes an intensive computational task. In applications such as finance, for instance, to achieve "real time" execution, as often required, one needs highly efficient implementations of the multi-point...
Persistent link: https://www.econbiz.de/10004984541
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On the Efficiency of Simplified Weak Taylor Schemes for Monte Carlo Simulation in Finance
Liberati, Nicola Bruti; Platen, Eckhard - Finance Discipline Group, Business School - 2004
. We present a numerical comparison between weak Taylor schemes and their simplified versions. In the simplified schemes …
Persistent link: https://www.econbiz.de/10004984547
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Cover Image
A hardware generator of multi-point distributed random numbers for Monte Carlo simulation
Bruti-Liberati, Nicola; Martini, Filippo; Piccardi, Massimo - In: Mathematics and Computers in Simulation (MATCOM) 77 (2008) 1, pp. 45-56
Monte Carlo simulation of weak approximations of stochastic differential equations constitutes an intensive computational task. In applications such as finance, for instance, to achieve “real time” execution, as often required, one needs highly efficient implementations of the multi-point...
Persistent link: https://www.econbiz.de/10011050953
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