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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 2,321 - 2,330 of 4,054
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Analytic approach & Monte Carlo methods for realistic systems analysis
Dubi, A. - In: Mathematics and Computers in Simulation (MATCOM) 47 (1998) 2, pp. 243-269
The basic concepts of system Engineering are briefly described. The general problem is outlined as that of a `particle' moving in a phase space of states and time. It is shown that this general view leads to a transport equation underlying the behavior of systems. The transport equation is...
Persistent link: https://www.econbiz.de/10010870010
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Robust guaranteed cost control of uncertain linear time-delay systems using dynamic output feedback
Li, Huaizhong; Niculescu, Silviu-Iulian; Dugard, Luc; … - In: Mathematics and Computers in Simulation (MATCOM) 45 (1998) 3, pp. 349-358
This paper is concerned with robust guaranteed cost control of uncertain linear time-delay systems using dynamic output feedback. The uncertain systems tackled in this paper involve uncertainty in quadratic constrained form which includes the well-known norm-bounded time-varying uncertainty as a...
Persistent link: https://www.econbiz.de/10010870094
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On quasi-Monte Carlo integrations
Sobol, I.M. - In: Mathematics and Computers in Simulation (MATCOM) 47 (1998) 2, pp. 103-112
Relations between Monte Carlo and quasi-Monte Carlo methods are analysed from both theoretical and practical points of view with special emphasis on high-dimensional integration.
Persistent link: https://www.econbiz.de/10010870116
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Error analysis of an adaptive Monte Carlo method for numerical integration
Karaivanova, Aneta; Dimov, Ivan - In: Mathematics and Computers in Simulation (MATCOM) 47 (1998) 2, pp. 201-213
A new adaptive technique for Monte Carlo (MC) integration is proposed and studied. An error analysis is given. It is shown that the error of the numerical integration depends on the smoothness of the integrand. A superconvergent adaptive method is presented. The method combines the idea of...
Persistent link: https://www.econbiz.de/10010870126
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A non-analog Monte Carlo simulation of transport of radionuclides in a porous medium
Smidts, O.F.; Devooght, J. - In: Mathematics and Computers in Simulation (MATCOM) 47 (1998) 2, pp. 461-472
In this paper, a non-analog Monte Carlo methodology is applied to the transport of radionuclide chains in a geological medium. A Monte Carlo simulation is first constructed from an integral equation for the concentration of one radionuclide. This integral equation depends on the solution of an...
Persistent link: https://www.econbiz.de/10010870159
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Backward Monte Carlo for probabilistic dynamics
Tombuyses, B.; DeLuca, P.R.; Smidts, C. - In: Mathematics and Computers in Simulation (MATCOM) 47 (1998) 2, pp. 493-505
Probabilistic dynamics studies the behavior of a system constituted of components and physical variables interacting together. Monte Carlo simulation is one way to solve the associated mathematical problem for a realistic system; however, Monte Carlo simulations are inefficient and biasing...
Persistent link: https://www.econbiz.de/10010870171
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Stability, attraction domains, and ultimate boundedness for nonlinear neutral systems
Tchangani, A.P.; Dambrine, M.; Richard, J.P. - In: Mathematics and Computers in Simulation (MATCOM) 45 (1998) 3, pp. 291-298
This paper deals with the stability, the stability domains estimation, and the asymptotic behaviours analysis for a class of nonlinear neutral systems. The notion of degenerate comparison system is defined. It leads to stability conditions in the form of two separate conditions that are to be...
Persistent link: https://www.econbiz.de/10010870206
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Weak controllability and controllability indices for linear neutral systems
Picard, P.; Sename, O.; Lafay, J.F. - In: Mathematics and Computers in Simulation (MATCOM) 45 (1998) 3, pp. 223-233
Weak controllability concept is analysed for linear neutral delay-differential systems, according to an algebraic approach (ring theory). A geometric interpretation in terms of state trajectories is given, based on the definition of controllability indices.
Persistent link: https://www.econbiz.de/10010870220
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Shape identification using a charge simulation retina model
Kanali, Christopher; Murase, Haruhiko; Honami, Nobuo - In: Mathematics and Computers in Simulation (MATCOM) 48 (1998) 1, pp. 103-118
Investigations were conducted to explore the feasibility of a prototype charge simulation retina machine vision system to identify shape and size, when different three-dimensional objects were arbitrarily located in the vision field of the retina. The system consisted of a light source, light...
Persistent link: https://www.econbiz.de/10010870243
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Criticality calculations with MCNP4A using correlated sampling methods
Gallmeier, Franz; Gaubatz, Werner - In: Mathematics and Computers in Simulation (MATCOM) 47 (1998) 2, pp. 271-285
Two methods of calculating reactivity effects due to small changes in reactor configurations have been implemented in MCNP4A. The pseudo-correlated sampling method makes use of the correlation of particle tracks in problems with well localized perturbations. The true correlated sampling method...
Persistent link: https://www.econbiz.de/10010870269
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