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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 3,711 - 3,720 of 4,054
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Error propagation in fourier transforms
Alt, René - In: Mathematics and Computers in Simulation (MATCOM) 20 (1978) 1, pp. 37-43
The Fourier transform has long been of great use in simulating mathematical or physical phenomena, especially in signal theory. However the finite length representation of numbers introduces round-off errors in computing. Here, developing a new point of view on the topic, we give an evaluation...
Persistent link: https://www.econbiz.de/10010870665
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Analog electrical model for the use of Mitrovic's criterion in analysis feedback control systems
Petric, Jovan - In: Mathematics and Computers in Simulation (MATCOM) 6 (1964) 1, pp. 4-8
In this work is given the application of Mitrovic's criterion in analysis of the stability of the linear systems using the simplest elements of the analog computing technics : the operational amplifiers and linear ganged potentiometers. Owing to the fact that the adequate analog electrical model...
Persistent link: https://www.econbiz.de/10010870667
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Simulation hybride de phenomenes de diffusion en regime non lineaire
Caussade, Bernard Henri - In: Mathematics and Computers in Simulation (MATCOM) 18 (1976) 3, pp. 177-185
Trough several applications concerning the Fluid Mechanics and the Thermic, the author shows the advantages of a new hybrid method for RC networks. He compares its performances as regards precision and speed with those of other methods.
Persistent link: https://www.econbiz.de/10010870686
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The use of parallel logic in teaching engineering and science
Ung, Man T.; Klein, Gerald - In: Mathematics and Computers in Simulation (MATCOM) 10 (1968) 4, pp. 199-210
The use of the analog computer in teaching engineering and science has become increasingly widespread.
Persistent link: https://www.econbiz.de/10010870690
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Theory and design of a digital stochastic computer random number generator
Miller, A.J.; Mars, P. - In: Mathematics and Computers in Simulation (MATCOM) 19 (1977) 3, pp. 198-216
The theory and design of a random number generator suitable for use in a general purpose digital stochastic computer is considered. After a review of possible types of random number generator the paper considers the design of a system for the generation of negatively correlated pseudo-random...
Persistent link: https://www.econbiz.de/10010870691
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Orthogonal collocation on finite elements for elliptic equations
Chang, P.W.; Finlayson, B.A. - In: Mathematics and Computers in Simulation (MATCOM) 20 (1978) 2, pp. 83-92
The method of orthogonal collocation on finite elements (OCFE) combines the features of orthogonal collocation with those of the finite element method. The method is illustrated for a Poisson equation (heat conduction with source term) in a rectangular domain. Two different basis functions are...
Persistent link: https://www.econbiz.de/10010870697
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A diode generator of functions of two variables
Petternella, M.; Ruberti, A. - In: Mathematics and Computers in Simulation (MATCOM) 3 (1961) 1, pp. 18-24
In this work the authors describe a new design of generator of functions of two independent variables. It is based on the selection of linear functions of the two variables which are generated with passive networks.
Persistent link: https://www.econbiz.de/10010870706
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Simulation of a classical detection problem: Detection of a phase-coherent rf pulse train of unknown phase in additive gaussian noise
Belt, J.E.; Harris, Cliff A. - In: Mathematics and Computers in Simulation (MATCOM) 11 (1969) 2, pp. 86-89
This paper describes a hybrid computer simulation of a simple signal detection problem. A signal of unknown phase plus white Gaussian noise is detected with a correlation receiver. Measured detection probabilities and false-alarm probabilities for various signal to noise ratio are compared to...
Persistent link: https://www.econbiz.de/10010870718
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Turbulent modeling of a vortex boundary layer flow
Hsu, C.T.; Tesfamariam, H. - In: Mathematics and Computers in Simulation (MATCOM) 19 (1977) 2, pp. 121-131
The boundary layer flow of an atmospheric vortex was analyzed by utilizing a two-equation model of turbulence together with the conventional boundary layer equations. Steady-state solutions were obtained from the time-dependent solutions by using a predictor-corrector, multiple iteration method....
Persistent link: https://www.econbiz.de/10010870719
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Error reduction techniques in digital stochastic computers
Miller, A.J.; Brown, A.W.; Mars, P. - In: Mathematics and Computers in Simulation (MATCOM) 19 (1977) 1, pp. 51-56
Two new techniques for improving accuracy in digital stochastic computing systems are presented. Simple circuits based on a theory of negative correlation are shown to provide significant error reduction. The fundamental problem of drift in digital stochastic computing circuits is considered and...
Persistent link: https://www.econbiz.de/10010870722
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