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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 3,561 - 3,570 of 4,054
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On L2-estimates for discrete-time galerkin approximation to second order hyperbolic equations
Holnicki, Piotr - In: Mathematics and Computers in Simulation (MATCOM) 23 (1981) 2, pp. 127-132
The standard discrete-time Galerkin method for a linear second order hyperbolic problem is considered. Exploiting technique of [1], L∞(H0)-error estimates of optimal order are achieved with weaker assumptions on the smoothness of the solution.
Persistent link: https://www.econbiz.de/10011050688
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Identification of spatially varying parameters for a distributed system — Application to a thermal process
Jarny, Yvon - In: Mathematics and Computers in Simulation (MATCOM) 23 (1981) 2, pp. 170-179
The identification of spatially varying parameters for a partial differential equation describing the thermal behaviour of an experimental extruder will be presented. The state equation of the model is given in a discrete functional framework and the identification problem will be considered in...
Persistent link: https://www.econbiz.de/10011050698
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Split-simulation—An efficient method for studies of models with discrete choices
Gustafsson, Leif - In: Mathematics and Computers in Simulation (MATCOM) 23 (1981) 3, pp. 245-252
Split-simulation is a technique to perform simulations of models with discrete choices. This technique is based on “intelligent” objects which penetrate and investigate the alternatives of the model. The advantages are better precision, reduced variance and much shorter execution times than...
Persistent link: https://www.econbiz.de/10011050798
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The use of computer simulation in the pulp and paper industry
Jutila, Esa; Leiviskä, Kauko - In: Mathematics and Computers in Simulation (MATCOM) 23 (1981) 1, pp. 1-11
Pulp and paper mill processes have certain typical features in common with other simulation objects. However, computer simulation can serve as a useful tool in the design and construction of process units and the entire mill, as well as comparison of various production and control strategies of...
Persistent link: https://www.econbiz.de/10011050805
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An L∞ error estimate for the Ritz-Trefftz approximation in optimal control
Mathis, F.H. - In: Mathematics and Computers in Simulation (MATCOM) 23 (1981) 2, pp. 188-190
An a priori L∞ error estimate is established for the control approximation generated by using the Ritz-Trefftz method on the state regulator problem. The approximations are taken from spaces of quasiuniform peicewise-polynomials. The estimates are the best possible in the sense that the order...
Persistent link: https://www.econbiz.de/10011050832
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Statistical performance analysis of nonlinear stochastic systems by the Monte Carlo method
Taylor, James H. - In: Mathematics and Computers in Simulation (MATCOM) 23 (1981) 1, pp. 21-33
Until the recent advent of extended covariance analysis utilizing quasi-linearization techniques, the only approach for assessing the performance of a nonlinear system with random inputs and initial conditions has been the monte carlo method. This method involves direct simulation, i.e.,...
Persistent link: https://www.econbiz.de/10011050940
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Numerical solution of the Hilbert transform for phase calculation from an amplitude spectrum
Andersson, Torbjörn; Johansson, Jan; Eklund, Hans - In: Mathematics and Computers in Simulation (MATCOM) 23 (1981) 3, pp. 262-266
A method for the numerical solution of the Hilbert transform integral to obtain the phase corresponding to a given amplitude spectrum is presented. The method, which is based on the assumption that the amplitude spectrum at high and low frequencies can be approximated by constant slopes, can be...
Persistent link: https://www.econbiz.de/10011051002
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The solution of elliptic partial differential equations in R-θ geometry by extrapolated A.D.I. methods
Evans, D.J.; Avdelas, G. - In: Mathematics and Computers in Simulation (MATCOM) 23 (1981) 4, pp. 367-372
In this paper, the authors extend the application of the extrapolated alternating direction implicit (E.A.D.I.) methods (Hadjidimos, 1970) to obtain the numerical solution of elliptic partial differential equations for regions involving circular symmetry.
Persistent link: https://www.econbiz.de/10011051079
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Three-dimensional computer analysis of flow and combustion in automotive internal combustion engines
Markatos, N.C.; Mukerjee, T. - In: Mathematics and Computers in Simulation (MATCOM) 23 (1981) 4, pp. 354-366
The paper presents a method for calculating the three-dimensional flow-fields in reciprocating internal combustion engines, as a function of space and time, throughout the complete four-stroke cycle. The method is based on a computational procedure which solves the governing elliptic...
Persistent link: https://www.econbiz.de/10010748493
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Propagation through numerical mesh refinement for hyperbolic equations
Vichnevetsky, R. - In: Mathematics and Computers in Simulation (MATCOM) 23 (1981) 4, pp. 344-353
Persistent link: https://www.econbiz.de/10010748595
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