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  • Search: subject:"Stehfest Algorithm"
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Year of publication
Subject
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Brownian bridge 1 Drawdown 1 Gaver–Stehfest algorithm 1 Homogenous Reservoirs 1 Monotonicity 1 Monte Carlo 1 Nonlinear Regression 1 Oil Reservoirs 1 Particle Swarm Optimization 1 Stehfest Algorithm 1 Well Testing 1 concave majorant 1
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Online availability
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Free 1 Undetermined 1
Type of publication
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Article 1 Book / Working Paper 1
Language
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English 1 Undetermined 1
Author
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Adibifard, Meisam 1 Balabdaoui, Fadoua 1 Bashiri, Gholamreza 1 Emad, Mohammad Ali 1 Filali, Karim 1 Roayaei, Emad 1
Institution
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Université Paris-Dauphine (Paris IX) 1
Published in...
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Economics Papers from University Paris Dauphine 1 International Journal of Applied Metaheuristic Computing (IJAMC) 1
Source
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RePEc 1 Other ZBW resources 1
Showing 1 - 2 of 2
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Efficient computation of the cdf of the maximum distance between Brownian bridge and its concave majorant
Filali, Karim; Balabdaoui, Fadoua - Université Paris-Dauphine (Paris IX) - 2012
In this paper, we describe two computational methods for calculating the cumulative distribution function and the upper quantiles of the maximal difference between a Brownian bridge and its concave majorant. The first method has two different variants that are both based on a Monte Carlo...
Persistent link: https://www.econbiz.de/10010708585
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Using Particle Swarm Optimization (PSO) Algorithm in Nonlinear Regression Well Test Analysis and Its Comparison with Levenberg-Marquardt Algorithm
Adibifard, Meisam; Bashiri, Gholamreza; Roayaei, Emad; … - In: International Journal of Applied Metaheuristic … 7 (2016) 3, pp. 1-23
Since two of the most important disadvantages of the classical nonlinear regression methods, such as Levenberg-Marquardt (LM), are to calculate error derivative function and use an initial point to get the results, PSO algorithm, which lies in the category of population based meta-heuristic...
Persistent link: https://www.econbiz.de/10012042931
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