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  • Search: isPartOf:"Mathematics and Computers in Simulation (MATCOM)"
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Simulation 66 Stability 43 Neural networks 34 Finite element method 29 Solitons 26 Monte Carlo 23 Inverse problem 22 Optimization 22 Computer algebra 21 Monte Carlo method 21 Solitary waves 20 Chaos 19 Modelling 19 Monte Carlo simulation 19 Synchronization 18 Computer simulation 15 Domain decomposition 15 Finite volume method 15 Bifurcation 14 Convergence 14 Lattice Boltzmann method 14 Monte Carlo methods 14 Partial differential equations 14 Soliton 14 Finite elements 13 Fuzzy logic 13 GARCH 13 Numerical integration 13 Numerical simulation 13 Adaptive control 12 Bootstrap 12 Cointegration 12 Modeling 12 Optimal control 12 Sensitivity analysis 12 Genetic algorithm 11 Genetic algorithms 11 Neural network 11 Nonlinear systems 11 Parameter estimation 11
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Undetermined 4,054
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McAleer, Michael 54 Kevrekidis, P.G. 17 Oxley, Les 17 Vichnevetsky, R. 16 Mesnard, Guy 15 Tzafestas, S.G. 15 Evans, D.J. 14 Jakeman, A.J. 14 Korn, Granino A. 14 Roanes-Lozano, Eugenio 14 Chang, Chia-Lin 12 Pasadas, M. 12 Taha, Thiab R. 12 Ames, W.F. 11 Brezinski, C. 11 Laita, Luis M. 10 McKenzie, C.R. 10 Ohkita, Masaaki 10 Van Remoortere, P. 10 Al-Haddad, Kamal 8 Chan, Felix 8 Christov, C.I. 8 Hadjidimos, A. 8 Lim, Christine 8 Malomed, B.A. 8 Nedjalkov, M. 8 Sbibih, D. 8 Walter, Eric 8 Adomian, G. 7 Chan, W.S. 7 Egidi, N. 7 Frantzeskakis, D.J. 7 Hernando, Antonio 7 Kosina, H. 7 Ludu, A. 7 Maponi, P. 7 Steinberg, Stanly 7 Aiyoshi, Eitaro 6 Borne, Pierre 6 Carver, M.B. 6
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Mathematics and Computers in Simulation (MATCOM) 4,054
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Evaluation of model parameter accuracy by using joint confidence regions: application to low complexity neural networks to describe enzyme inactivation
Geeraerd, Annemie H.; Herremans, Carl H.; Ludikhuyze, … - In: Mathematics and Computers in Simulation (MATCOM) 48 (1998) 1, pp. 53-64
An existing low complexity, black box artificial neural network model (ANN model) is investigated towards its more general applicability in the field of high isobaric–isothermal inactivation of enzymes. The use of this non-linear modeling technique makes it possible to describe accurately...
Persistent link: https://www.econbiz.de/10010870319
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Computation of Japanese bonds and derivative securities
Nowman, K. Ben; Sorwar, Ghulam - In: Mathematics and Computers in Simulation (MATCOM) 47 (1998) 6, pp. 583-588
In this paper, we use the Box numerical method to compute implied bond and option prices starting from the general CKLS interest rate model based on Japanese interbank data. In particular, we compute numerically implied prices from the CKLS, Vasicek, Cox–Ingersoll–Ross and Brennan–Schwartz...
Persistent link: https://www.econbiz.de/10010870377
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Stability of epidemic model with time delays influenced by stochastic perturbations1This paper was written during a visit of V. Kolmanovskii and L. Shaikhet in Italy (Napoli, Urbino).1
Beretta, Edoardo; Kolmanovskii, Vladimir; Shaikhet, Leonid - In: Mathematics and Computers in Simulation (MATCOM) 45 (1998) 3, pp. 269-277
Many processes in automatic regulation, physics, mechanics, biology, economy, ecology etc. can be modelled by hereditary equations (see, e.g. [1–6]). One of the main problems for the theory of stochastic hereditary equations and their applications is connected with stability. Many stability...
Persistent link: https://www.econbiz.de/10010870399
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A numerical study of compactons
Ismail, M.S.; Taha, T.R. - In: Mathematics and Computers in Simulation (MATCOM) 47 (1998) 6, pp. 519-530
The Korteweg–de Vries equation has been generalized by Rosenau and Hyman [Compactons: Solitons with finite wavelength, Phys. Rev. Lett. 70(5) (1993) 564] to a class of partial differential equations that has soliton solutions with compact support (compactons). Compactons are solitary waves...
Persistent link: https://www.econbiz.de/10010870509
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Multistep numerical methods for functional differential equations
Kim, A.V.; Pimenov, V.G. - In: Mathematics and Computers in Simulation (MATCOM) 45 (1998) 3, pp. 377-384
Different numerical methods are developed for solving retarded differential equations [1, 9]. Multistep numerical methods for general functional differential equations (FDE) were elaborated in [5, 10]. In contrast to those works presented in this paper, multistep numerical methods are based on...
Persistent link: https://www.econbiz.de/10010870561
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Heterogeneity of photosystem II probed by the numerically simulated chlorophyll a fluorescence rise (O–J–I–P)
Strasser, Reto J.; D. Stirbet, Alexandrina - In: Mathematics and Computers in Simulation (MATCOM) 48 (1998) 1, pp. 3-9
The in vivo variable fluorescence of chlorophyll a is used as a non-intrusive probe of the physiological state of intact leaves. It was established that the origin of this signal is the antenna system of photosystem II (PSII). The PSII population is heterogeneous with respect to antenna size,...
Persistent link: https://www.econbiz.de/10010870591
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Photon transport in three-dimensional structures treated by random walk techniques: Monte Carlo benchmark of ocean colour simulations
Doyle, J.P.; Rief, H. - In: Mathematics and Computers in Simulation (MATCOM) 47 (1998) 2, pp. 215-241
The analysis of light-rays penetrating transparent media like air and water constitutes a pertinent problem in climatic research and in the development of algorithms for the retrieval of bio-geo-chemical parameters of suspended matter and dissolved pollutants from remotely sensed ocean colour...
Persistent link: https://www.econbiz.de/10010870596
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Evaluation of nonlinear resonances in 4D symplectic mappings
Todesco, E.; Gemmi, M.; Giovannozzi, M. - In: Mathematics and Computers in Simulation (MATCOM) 45 (1998) 5, pp. 485-496
We discuss the evaluation of the stability, position and width of resonances in four-dimensional symplectic mappings. The approach presented in this paper is based on the computation of the resonant perturbative series carried out by the program ARES. This piece of code allows to perform the...
Persistent link: https://www.econbiz.de/10010870627
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Monte Carlo simulation of quantum computation1Presented at the IMACS Seminar on Monte Carlo Methods, Brussels, 1–3 April 1997.1
Cerf, N.J.; Koonin, S.E. - In: Mathematics and Computers in Simulation (MATCOM) 47 (1998) 2, pp. 143-152
The many-body dynamics of a quantum computer can be reduced to the time evolution of non-interacting quantum bits in auxiliary fields using the Hubbard–Stratonovich representation of two-bit quantum gates in terms of one-bit gates. This makes it possible to perform the stochastic simulation of...
Persistent link: https://www.econbiz.de/10010870664
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Simulation of order transitions on a parallel computer
Handscomb, David - In: Mathematics and Computers in Simulation (MATCOM) 47 (1998) 2, pp. 319-327
The traditional Monte Carlo simulation of order transitions in a ferromagnet (or in a binary crystalline alloy) is carried out by generating a sequence of local swaps (spin reversals or exchanges of atoms) on a finite lattice, each of which in turn is accepted or rejected according to...
Persistent link: https://www.econbiz.de/10010870668
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