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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 3,181 - 3,190 of 4,054
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The graphics advisor: a prototypical advisory expert system
Berkbigler, K.P.; Max, P.A. - In: Mathematics and Computers in Simulation (MATCOM) 31 (1989) 4, pp. 465-473
The Graphics Advisor is an expert system that helps users of the Los Alamos Integrated Computing Network select the graphics library that is best suited to the characteristics of a specific graphics application. The implementation of the system, using a commercial expert system development tool,...
Persistent link: https://www.econbiz.de/10010749717
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Numerical knowledge-based systems
Ford, B.; Hague, S.J.; Iles, R.M.J. - In: Mathematics and Computers in Simulation (MATCOM) 31 (1989) 4, pp. 395-400
This paper describes the background to, and current progress in, the development of knowledge-based front-ends for existing numerical and statistical software with which the Numerical Algorithms Group (NAG) is involved.
Persistent link: https://www.econbiz.de/10010749951
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The bivariate H-function distribution
Kellogg, S.D.; Barnes, J.W. - In: Mathematics and Computers in Simulation (MATCOM) 31 (1989) 1, pp. 91-111
In an earlier paper concerned with the distribution associated with products, quotients, and powers of two dependent nonnegative random variables, a generalized distribution called the bivariate H-function distribution was presented. Here, further properties of this distribution are explored....
Persistent link: https://www.econbiz.de/10010750147
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The guide to available mathematical software advisory system
Boisvert, Ronald F. - In: Mathematics and Computers in Simulation (MATCOM) 31 (1989) 4, pp. 453-463
The primary goal of the Guide to Available Mathematical Software (GAMS) project is to provide convenient access to information about mathematical and statistical software which is available to computer users at the National Institute for Standards and Technology. The principal vehicle through...
Persistent link: https://www.econbiz.de/10010750206
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The decomposition method applied to stiff systems
Adomian, G.; Rach, R.; Elrod, M. - In: Mathematics and Computers in Simulation (MATCOM) 30 (1988) 3, pp. 271-276
The decomposition method is applied to a stiff system of differential equations to obtain a converging series which is summed for an analytic solution. Advantages over fourth- and fifth- order Runge-Kutta methods are shown.
Persistent link: https://www.econbiz.de/10010869969
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A model of the circadian rhythm of deep body temperature
Barrett, J.E.; Phillips, F.G. - In: Mathematics and Computers in Simulation (MATCOM) 30 (1988) 1, pp. 151-158
A simple model for the human circadian rhythm of deep body temperature is described. The model accounts for both the endogenous circadian rhythm, and the principal masking effects resulting from sleep, activity, and ambient temperature. The Continuous System Modelling Program (CSMP) language was...
Persistent link: https://www.econbiz.de/10010869996
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Computer models of forage management on beef cattle farms
Rickert, K.G; McKeon, G.M - In: Mathematics and Computers in Simulation (MATCOM) 30 (1988) 1, pp. 189-194
A spreadhseet model, SIMPROBE, evaluated alternative feeding sequences for fattening beef steers based on six different forages. This static model is a simplification of a FORTRAN model called PROBE. SIMPROBE calculates forage utilization, liveweight, fatscore, relative sale price and annual...
Persistent link: https://www.econbiz.de/10010870003
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Reformulation of parameter identification with unknown-but-bounded errors
Clement, Thierry; Gentil, Sylviane - In: Mathematics and Computers in Simulation (MATCOM) 30 (1988) 3, pp. 257-270
In this paper a new formulation of the problem of identification of discrete-time linear models in the case of Unknown-But-Bounded errors is proposed. The bounds of the error at each sampling time are specified over a measurement noise rather than over an equation error, which is mainly...
Persistent link: https://www.econbiz.de/10010870007
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An adaptation of the decomposition method for asymptotic solutions
Adomian, G. - In: Mathematics and Computers in Simulation (MATCOM) 30 (1988) 4, pp. 325-329
An adaptation of the decomposition method (Adomian, 1986) allows asymptotic solutions for differential and partial differential equations.
Persistent link: https://www.econbiz.de/10010870030
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A variant of the CESTAC method and its application to constrained optimization
Abadie, J.; Dekhli, F. - In: Mathematics and Computers in Simulation (MATCOM) 30 (1988) 6, pp. 519-529
The Vignes-La Porte CESTAC method enables the computer, when solving a problem in floating-point arithmetics (e.g., a system of equations), to construct 95% confidence intervals for the accuracy of the solution. In iterative methods, this involves the Optimal Stopping Criterion, which may be too...
Persistent link: https://www.econbiz.de/10010870113
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