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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 2,541 - 2,550 of 4,054
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Symbolic methods to construct exact solutions of nonlinear partial differential equations
Hereman, Willy; Nuseir, Ameina - In: Mathematics and Computers in Simulation (MATCOM) 43 (1997) 1, pp. 13-27
Two straightforward methods for finding solitary-wave and soliton solutions are presented and applied to a variety of nonlinear partial differential equations. The first method is a simplied version of Hirota's method. It is shown to be an effective tool to explicitly construct. multi-soliton...
Persistent link: https://www.econbiz.de/10010749258
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Prediction of complex flow fields using higher-order turbulent closures
Gatski, Thomas B. - In: Mathematics and Computers in Simulation (MATCOM) 44 (1997) 4, pp. 331-345
The tool of choice in computing turbulent flows of engineering interest is the Reynolds averaged Navier-Stokes equations for the mean motion, coupled with a closure scheme for the unknown higher-order turbulent correlations. The focus of this paper is to discuss some recent advances in turbulent...
Persistent link: https://www.econbiz.de/10010749367
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Criteria for selection of spatial dimension in the application of one- and two-dimensional water quality models
Hamilton, D.P.; Hocking, G.C.; Patterson, J.C. - In: Mathematics and Computers in Simulation (MATCOM) 43 (1997) 3, pp. 387-393
A critical aspect of modelling water quality in lakes and reservoirs is to select a model with a spatial representation that is appropriate for the dominant mixing processes and the observed variation in water quality variables. One-dimensional modelling is frequently applied to small-to-medium...
Persistent link: https://www.econbiz.de/10010749466
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Numerical models for the management of land and water resources salinisation
Ghassemi, Fereidoun; Close, Andrew; Kellett, Jim R. - In: Mathematics and Computers in Simulation (MATCOM) 43 (1997) 3, pp. 323-329
This paper will demonstrate the role of surface and groundwater models as design, management, and predictive tools in salinity investigations. Groundwater flow and solute transport models have the ability to simulate a wide range of problems such as: the effects of groundwater extraction, and...
Persistent link: https://www.econbiz.de/10010749467
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Bayesian-validated computer-simulation surrogates for optimization and design: Error estimates and applications
Otto, John; Paraschivoiu, Marius; Yesilyurt, Serhat; … - In: Mathematics and Computers in Simulation (MATCOM) 44 (1997) 4, pp. 347-367
We present a Bayesian-validated surrogate framework which permits economical and reliable integration of large-scale simulations into engineering design and optimization. In the surrogate approach, the large-scale simulation is evoked only to construct and validate a simplified input-output...
Persistent link: https://www.econbiz.de/10010749519
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Foreword
Taha, Thiab R. - In: Mathematics and Computers in Simulation (MATCOM) 43 (1997) 1, pp. 1-1
Persistent link: https://www.econbiz.de/10010749606
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Conference report
Troch, Inge - In: Mathematics and Computers in Simulation (MATCOM) 44 (1997) 5, pp. 513-516
Persistent link: https://www.econbiz.de/10010749741
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A hydrodynamic particle tracking algorithm for simulating settling of sediment
Willgoose, G. - In: Mathematics and Computers in Simulation (MATCOM) 43 (1997) 3, pp. 343-349
The transport of sediment is an aggregated phenomenon reflecting the response of individual sediment particles to the surrounding fluid flow. Traditional modelling of sediment transport has concentrated on conceptualisations of either the overall behaviour (analogous to the thermodynamic...
Persistent link: https://www.econbiz.de/10010749783
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Principal component analysis of bioreactor fed-batch operation by computer simulation
Kurtanjek, Zelimir - In: Mathematics and Computers in Simulation (MATCOM) 44 (1997) 3, pp. 287-294
Process control and principal component analysis of yeast fed-batch production is based on a computer model. The model is derived from intracellular reaction rates of key metabolic reactions during diauxillary growth, overall mass balances in reactor, and the PI regulation of the secondary...
Persistent link: https://www.econbiz.de/10010749806
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On tests for long memory in Pacific Basin stock returns
Koong, C.S.; Tsui, Albert K.; Chan, W.S. - In: Mathematics and Computers in Simulation (MATCOM) 43 (1997) 3, pp. 445-449
There has been growing interest in studying the behaviour of stock returns over long and short horizons. Previous studies showed that while autocorrelations in returns usually are positive or close to zero over short horizons, they become negative over long horizons. In this article, we examine...
Persistent link: https://www.econbiz.de/10010749810
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