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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 3,491 - 3,500 of 4,054
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The simulation of hourly wind speed and direction
McWilliams, B.; Sprevak, D. - In: Mathematics and Computers in Simulation (MATCOM) 24 (1982) 1, pp. 54-59
A simple modelling procedure for the time series of wind speed is presented. Using the statistical properties of the joint distribution of wind speed and direction the modelling problem is reduced to one of modelling a stationary Gaussian process. This model can be used to generate the time...
Persistent link: https://www.econbiz.de/10010870109
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Feedback decoupling-controller design of 3-D systems in state space
Pimenides, T.G.; Tzafestas, S.G. - In: Mathematics and Computers in Simulation (MATCOM) 24 (1982) 4, pp. 341-352
This paper solves the input-output decoupling problem of three-dimensional (3-D) systems formulated in state-space representation. The control policy adopted is of the static state feedback type u=Kx+Nw where K, N are appropriate matrices to be determined, x is the system state vector, and w is...
Persistent link: https://www.econbiz.de/10010870184
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Administrative usage of simulation techniques for environmental protection
Ichikawa, Arata; Sekiguchi, Yoshikazu - In: Mathematics and Computers in Simulation (MATCOM) 24 (1982) 2, pp. 208-214
This paper presents an overview of some simulation techniques employed by local government administrations in Japan. As urbanization causes serious impacts on the natural environment, administrations are faced with environmental protection as a social issue. For any administration in looking for...
Persistent link: https://www.econbiz.de/10010870192
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Optimization using sensitivity functions for fitting models to data
Bassingthwaighte, J.B.; Chaloupka, M.; Goldstein, A.A. - In: Mathematics and Computers in Simulation (MATCOM) 24 (1982) 6, pp. 502-506
The analysis of multiple indicator dilution curves to estimate the rates of transport of ions and substrates across the sarcolemma of myocardial cells requires the formulation of models for the blood-ISF-cell exchanges. The fitting of models to the sets of experimental data is dependent of...
Persistent link: https://www.econbiz.de/10010870234
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Ultra-arithmetic I: Function data types
Epstein, C.; Miranker, W.L.; Rivlin, T.J. - In: Mathematics and Computers in Simulation (MATCOM) 24 (1982) 1, pp. 1-18
We develop ultra-arithmetic, a calculus for functions which is performable on a digital computer. We proceed with an analogy between the real numbers and their truncated positional number representations on the one hand and functions and their truncated generalized-Fourier series on the other....
Persistent link: https://www.econbiz.de/10010870312
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Ultra-arithmetic II: intervals of polynomials
Epstein, C.; Miranker, W.L.; Rivlin, T.J. - In: Mathematics and Computers in Simulation (MATCOM) 24 (1982) 1, pp. 19-29
In Part 1 of this paper (Function Data Types) we developed ultra-arithmetic. a calculus for functions which is performable on a digital computer. Here in analogy with the notion of interval arithmetic for intervals of reals we begin the development of an interval arithmetic for functions. The...
Persistent link: https://www.econbiz.de/10010870354
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Stochastic versus deterministic
Ladde, G.S.; Sambandham, M. - In: Mathematics and Computers in Simulation (MATCOM) 24 (1982) 6, pp. 507-514
One of the fundamental problems in stochastic modeling of dynamic systems is to what extent the study of stochastic analysis differs with corresponding deterministic analysis. This work focuses the attention of finding estimates on the variation of stochastic solutions and the corresponding...
Persistent link: https://www.econbiz.de/10010870368
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A real-time simulator of the rainfall-runoff process
Cluckie, I.D.; Harpin, R. - In: Mathematics and Computers in Simulation (MATCOM) 24 (1982) 2, pp. 131-139
The real-time surveilance of evolving hydrological systems is particularly attractive in situations where models are used in a control capacity. If the parameters of a process are time variant, it is meaningless to approach the identification problem in any way other than to track their...
Persistent link: https://www.econbiz.de/10010870375
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Generating an autocorrelated sequence of random variates without distorting their distribution
Metzner, John R. - In: Mathematics and Computers in Simulation (MATCOM) 24 (1982) 1, pp. 60-64
Using moving averages to introduce autocorrelation into a sequence of pseudorandom variables will most often distort the shape of the distribution. When the correlation coefficients are to be zero from some lag onward, it is possible to compensate for most of the distortion by starting with...
Persistent link: https://www.econbiz.de/10010870380
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Perception as an active process
Norwich, Kenneth H. - In: Mathematics and Computers in Simulation (MATCOM) 24 (1982) 6, pp. 535-539
A somewhat different view of sensory perception is presented. It is supposed that the perceptual process consists of two phases: the establishment of uncertainty about some feature of the environment, and the progressive removal of this uncertainty. The first phase demands active participation...
Persistent link: https://www.econbiz.de/10010870391
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