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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 3,521 - 3,530 of 4,054
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Systems for evaluating nonpoint source pollution: An overview
Knisel, W.G. - In: Mathematics and Computers in Simulation (MATCOM) 24 (1982) 2, pp. 173-184
The U.S. Department of Agriculture, Agricultural Research Service initiated a national project to develop a hierarchy of systems for evaluating nonpoint source pollution to meet the planning needs of PL 92-500, Section 208. In 1978, approximately 45 scientists and engineers concentrated their...
Persistent link: https://www.econbiz.de/10010748815
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Singularity perturbed large-scale distributed-parameter control systems: an application to nuclear reactor control
Stavroulakis, P.; Tzafestas, S.G. - In: Mathematics and Computers in Simulation (MATCOM) 24 (1982) 4, pp. 303-313
A class of distributed-parameter control systems involving interacting fast and slow subsystems is considered and treated by an extension of the singular perturbation method well known in the field of lumped-parameter large scale systems theory. In particular, the method is applied to a power...
Persistent link: https://www.econbiz.de/10010748846
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Hydrothermal dispatching and estimate of pollution
Gagliardi, Francesco; Calabro, Antonio; Rossi, Federico; … - In: Mathematics and Computers in Simulation (MATCOM) 24 (1982) 2, pp. 185-193
In this paper the problem of the optimal management of an electrical power system is discussed. The production of hydroelectric energy is associated to that produced by steam plants in order to provide for a given load diagram. An economic dispatching is carried out, also taking into account the...
Persistent link: https://www.econbiz.de/10010748854
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Solution of nonlinear programming with unknown distribution function
Rubinstein, R.Y. - In: Mathematics and Computers in Simulation (MATCOM) 24 (1982) 5, pp. 373-384
Persistent link: https://www.econbiz.de/10010748937
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Hybrid test of a triangular decoupling control algorithm applied to a large scale ship boiler
Mezencev, R.; Descusse, J.; Lafay, J.F. - In: Mathematics and Computers in Simulation (MATCOM) 24 (1982) 4, pp. 269-280
Usually the implementation of any control system on a real process needs preliminary tests performed during a simulation stage, the aim of which is to check out the control algorithm before applying it on the process. In this paper the authors develop a general hybrid procedure which is actually...
Persistent link: https://www.econbiz.de/10010749174
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Simplified groundwater flow modeling: An application of Kalman filter based identification
Pimentel, K.D.; Candy, J.V.; Azevedo, S.G.; Doerr, T.A. - In: Mathematics and Computers in Simulation (MATCOM) 24 (1982) 2, pp. 140-151
The need exists for methods to simplify groundwater contaminant transport models. Reduced-order models are needed in risk assessments for licensing and regulating long-term nuclear waste repositories. Such models will be used in Monte Carlo simulations to generate probabilities of nuclear waste...
Persistent link: https://www.econbiz.de/10010749220
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Network thermodynamic simulation of biological systems: An overview
Mikulecky, D.C. - In: Mathematics and Computers in Simulation (MATCOM) 24 (1982) 6, pp. 437-441
Network Thermodynamics is a formalism which uses the concepts of network theory to solve problems generated by thermodynamic and/or kinetic descriptions of systems (generally by simulation, for complex, highly organized, dynamic systems). It is particularly useful in Biology due to the...
Persistent link: https://www.econbiz.de/10010749223
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Hopscotch procedures for a fourth-order parabolic partial differential equation differential equation
Danaee, A.; Evans, D.J. - In: Mathematics and Computers in Simulation (MATCOM) 24 (1982) 4, pp. 326-329
In a recent paper (McKee, 1975) the Hopscotch method was applied to solve the fourth-order parabolic (beam) equation. Several computational schemes were discussed which prove to be conditionally stable with the stability range no better than that of the usual explicit scheme.
Persistent link: https://www.econbiz.de/10010749278
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Identification of bilinear systems
Elhennawey, M.S.; Aidarous, S.E.; Shahein, H.I.H. - In: Mathematics and Computers in Simulation (MATCOM) 24 (1982) 4, pp. 330-337
A new technique for the identification of general bilinear systems is presented. The model reference adaptive systems (MARS) technique together with the direct method of Liapunov are used to construct the identifier for the system parameters. The plant is assumed to be multivariable, continuous...
Persistent link: https://www.econbiz.de/10010749371
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Complex biological models: Their construction and effective use
Garfinkel, David - In: Mathematics and Computers in Simulation (MATCOM) 24 (1982) 6, pp. 425-429
The need for complex models in biology, and reasons such as esthetics and tradition for resistance to their use, are discussed. Examples considered are an existing cardiac metabolism model, and a possible comprehensive and complex diabetes model, with their associated problems. Characteristic...
Persistent link: https://www.econbiz.de/10010749397
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