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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 3,451 - 3,460 of 4,054
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Simulation of a digitally controlled system, using the SIMUL language
Gorez, Raymond - In: Mathematics and Computers in Simulation (MATCOM) 25 (1983) 1, pp. 46-50
The SIMUL simulation language is introduced and its application to the simulation of continuous-time systems controlled by digital computers is described. Then, one considers the control of the primary coolant temperature in a PWR nuclear power plant: Large disturbances induce unacceptable...
Persistent link: https://www.econbiz.de/10010748585
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Numerical models for the simulation of currents in naples gulf
D'Alessio, A.; De Angelis, P.L.; Murli, A.; Pirozzi, M.A. - In: Mathematics and Computers in Simulation (MATCOM) 25 (1983) 5, pp. 436-451
Two numerical hydrodynamic models of wind-driven water circulation in a basin are considered.
Persistent link: https://www.econbiz.de/10010748607
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Multigrid methods for variation problems: The V-cycle
McCormick, S.F. - In: Mathematics and Computers in Simulation (MATCOM) 25 (1983) 1, pp. 63-65
In an earlier paper, we developed a convergence theory for a class of multigrid methods applied to differential boundary value problems, where the differential operator is self-adjoint and positive definite. The multigrid structure assumed a variational setting (although it applies to finite...
Persistent link: https://www.econbiz.de/10010748629
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Mathematical simulation of nitrogen interactions in soils
Selim, H.M.; Mehran, M.; Tanji, K.K.; Iskandar, I.K. - In: Mathematics and Computers in Simulation (MATCOM) 25 (1983) 3, pp. 241-248
Four mathematical models were evaluated for their ability to describe the fate of nitrogen (N) in the soil environment. The first model is a general one which accounts for convective-dispersive N transport under transient water flow conditions with active N uptake by plants. Model II considers N...
Persistent link: https://www.econbiz.de/10010748632
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A simple A2-stable numerical method for state space models with stiff oscillations
Eitelberg, Eduard - In: Mathematics and Computers in Simulation (MATCOM) 25 (1983) 4, pp. 346-355
Dynamic systems that at the same time exhibit slow as well as rapidly oscillating transients are difficult to simulate numerically. In this paper the Ai-stability (a sub-division of A-stability) is defined and then a simple A2, general purpose method is presented which eases the above mentioned...
Persistent link: https://www.econbiz.de/10010748707
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Priorities and preferences in conflict resolution
Alexander, Joyce M. - In: Mathematics and Computers in Simulation (MATCOM) 25 (1983) 2, pp. 108-119
In this study the planning process is applied to a conflict resolution problem by structuring a well known conflict (the Northern Ireland problem) using the levels of a conceptual hierarchy. The parties to the conflict form the first level, the objectives of these parties form the second level,...
Persistent link: https://www.econbiz.de/10010748753
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Isomorphic iterative methods in solving singularly perturbed elliptic difference equations
Lipitakis, Elias A. - In: Mathematics and Computers in Simulation (MATCOM) 25 (1983) 5, pp. 405-416
A new approach for the efficient numerical solution of Singular Perturbation (SP) second order boundary-value problems based on Gradient-type methods is introduced. Isomorphic implicit iterative schemes in conjuction with the Extended to the Limit sparse factorization procedures [9] are used for...
Persistent link: https://www.econbiz.de/10010748756
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Modeling and simulation of nonlinear and adaptive observers
Hasenjaeger, E.; Koehne, M. - In: Mathematics and Computers in Simulation (MATCOM) 25 (1983) 1, pp. 17-26
This paper is concerned with methods of designing nonlinear state observers for polynomic systems, which can be modeled by state equations with linear, bilinear, and quadratic terms. The general structure of polynomic observers is introduced and simulation serves as a useful tool to determine...
Persistent link: https://www.econbiz.de/10010748820
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Finite difference solutions of dispersive partial differential equations
Briggs, William L.; Sarie, Talib - In: Mathematics and Computers in Simulation (MATCOM) 25 (1983) 3, pp. 268-278
The second order leapfrog method is used to discretize the linearized KdV equation which is itself a dispersive partial differential equation. The resulting difference equation is solved and analyzed in terms of its dispersion relation and propagation properties. Numerical experiments are...
Persistent link: https://www.econbiz.de/10010748822
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About one Monte Carlo method for solving linear equations
Rubinstein, Y.R.; Kreimer, J. - In: Mathematics and Computers in Simulation (MATCOM) 25 (1983) 4, pp. 321-334
A Monte Carlo Method for solving linear and integral equations based on simulating one realization of an ergodic Markov chain is proposed. The efficiency of the proposed method is discussed.
Persistent link: https://www.econbiz.de/10010748881
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