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  • Search: subject:"hardware implementation"
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Year of publication
Subject
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Monte Carlo simulation 2 hardware implementation 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 amplitude ratio 1 field programmable gate arrays (FPGAs) 1 multi-point distributed random variables 1 power system frequency 1 random bit generators 1 random number generators 1 real-time estimation 1 three-level discrete Fourier transform 1 weak Taylor schemes 1 zero-crossing problem 1
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Online availability
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Free 2 Undetermined 1
Type of publication
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Article 2 Book / Working Paper 1
Language
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Undetermined 3
Author
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Bruti-Liberati, Nicola 2 Martini, Filippo 2 Piccardi, Massimo 2 Platen, Eckhard 2 Kang, Sang-Hee 1 Kang, Seung-Hwa 1 Nam, Soon-Ryul 1
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Institution
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Finance Discipline Group, Business School 1
Published in...
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Energies 1 Mathematics and Computers in Simulation (MATCOM) 1 Research Paper Series / Finance Discipline Group, Business School 1
Source
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RePEc 3
Showing 1 - 3 of 3
Cover Image
Real-Time Estimation of Power System Frequency Using a Three-Level Discrete Fourier Transform Method
Nam, Soon-Ryul; Kang, Seung-Hwa; Kang, Sang-Hee - In: Energies 8 (2014) 1, pp. 79-93
in the hardware implementation is evaluated using a real-time digital simulator (RTDS). The evaluation results show that …
Persistent link: https://www.econbiz.de/10011105441
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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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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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