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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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Article 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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RePEc 4,054
Showing 2,681 - 2,690 of 4,054
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Gap anisotropy and tunneling currents
Lazarides, N.; Sørensen, M.P. - In: Mathematics and Computers in Simulation (MATCOM) 40 (1996) 3, pp. 271-280
The tunneling Hamiltonian formalism is applied to calculate the tunneling currents through a small superconducting tunnel junction. The formalism is extended to nonconstant tunneling matrix elements. The electrodes of the junction are assumed to consist of high critical temperature...
Persistent link: https://www.econbiz.de/10011050883
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Predictive food microbiology: A probabilistic approach
Nicolaï, B.M.; Van Impe, J.F. - In: Mathematics and Computers in Simulation (MATCOM) 42 (1996) 2, pp. 287-292
An existing mathematical model for microbial growth and inactivation in dynamically changing temperature conditions has been modified to explain the experimentally observed variability between replicate growth curves. The model incorporates a random variable parameter representing the random...
Persistent link: https://www.econbiz.de/10011051027
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Simulation of xanthan gum production by a chemically structured kinetic model
García-Ochoa, F.; Santos, V.E.; Alcón, A. - In: Mathematics and Computers in Simulation (MATCOM) 42 (1996) 2, pp. 187-195
A chemically structured kinetic model for xanthan production is proposed. Both carbon and nitrogen source metabolisms into cells are taken into account by the model. A kinetic reaction network is proposed, using lumping of several compounds into groups for a simplification of the metabolic...
Persistent link: https://www.econbiz.de/10011051108
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Identification of structural systems by neural networks
Chassiakos, Anastassios G.; Masri, Sami F. - In: Mathematics and Computers in Simulation (MATCOM) 40 (1996) 5, pp. 637-656
A method based on the use of neural networks is developed for the identification of systems encountered in the field of structural dynamics. The methodology is applied to the identification of linear and nonlinear dynamic systems such as the damped Duffing oscillator and the Van der Pol...
Persistent link: https://www.econbiz.de/10011051158
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Mechanistic mathematical models of microbial growth in bioreactors and in natural soils: Explanation of complex phenomena
Panikov, N.S. - In: Mathematics and Computers in Simulation (MATCOM) 42 (1996) 2, pp. 179-186
The paper summarizes the development of so-called synthetic chemostat model (SCM) simulating complex dynamic behavior of microorganisms. The basic SCM represents microbial growth as a conversion of exosubstrate into cell macromolecules via pool of intermediates. The “quality” of biomass is...
Persistent link: https://www.econbiz.de/10011051170
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A flexible neurofuzzy cell structure for general fuzzy inference
Tzafestas, Spyros; Raptis, Spyros; Stamou, George - In: Mathematics and Computers in Simulation (MATCOM) 41 (1996) 3, pp. 219-233
This paper presents and investigates a neural network structure which can perform general fuzzy inference. This system consists of a number of parallel neural network units which are called “flexible inference cells” (FICs). Each FIC implements a single-input/single-output (SISO) IF-THEN...
Persistent link: https://www.econbiz.de/10011051186
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Modulational instability of plasma waves in two dimensions
Karpman, V.I.; Lynov, J.P.; Michelsen, P.K.; Juul … - In: Mathematics and Computers in Simulation (MATCOM) 40 (1996) 3, pp. 223-234
The nonlinear behavior of whistler waves coupled to either fast magnetosonic waves (FMS) or slow magnetosonic waves (SMS) is investigated in two spatial dimensions. For each branch our investigation is based on a numerical solution of a reduced set of equations consisting of two partial...
Persistent link: https://www.econbiz.de/10011051188
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Real algebraic numbers
Recio, T. - In: Mathematics and Computers in Simulation (MATCOM) 42 (1996) 4, pp. 539-540
Persistent link: https://www.econbiz.de/10010748478
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Neural networks for linear control: An analysis
Warwick, Kevin - In: Mathematics and Computers in Simulation (MATCOM) 41 (1996) 1, pp. 29-37
This paper considers the use of radial basis function and multi-layer perceptron networks for linear or linearizable, adaptive feedback control schemes in a discrete-time environment. A close look is taken at the model structure selected and the extent of the resulting parameterization. A...
Persistent link: https://www.econbiz.de/10010748529
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Kinetic model of hybridoma cultures for the identification of rate limiting factors and process optimisation
Lourenço da Silva, A.; Marc, A.; Engasser, J.M.; … - In: Mathematics and Computers in Simulation (MATCOM) 42 (1996) 2, pp. 197-205
A methodology is proposed to evaluate which components of the culture medium limit the growth of mammalian cells during the culture. It is based on a kinetic model that describes the hybridoma growth decreasing and death enhancing effects of glucose, amino-acids, serum and oxygen depletion, on...
Persistent link: https://www.econbiz.de/10010748545
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