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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 3,441 - 3,450 of 4,054
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Dual nature of events in discrete simulation
Jávor, A. - In: Mathematics and Computers in Simulation (MATCOM) 25 (1983) 1, pp. 66-69
The problem caused by the representation of different types of events in discrete simulation is discussed and a solution based on their dual nature is presented.
Persistent link: https://www.econbiz.de/10011050633
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A holistic approach to vehicle simulation
Hooker, J.N.; Rose, A.B.; Roberts, G.F. - In: Mathematics and Computers in Simulation (MATCOM) 25 (1983) 3, pp. 259-267
Vehicle simulators traditionally model a vehicle's components separately. This paper describes a “holistic” simulator that constructs a map of fuel consumption vs speed, acceleration, and gear for the vehicle as a whole, based on statistical analysis of road test data. A single computer...
Persistent link: https://www.econbiz.de/10011051012
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Comb filters — simulation and design
Kossidas, A.T.; Pactitis, S.A. - In: Mathematics and Computers in Simulation (MATCOM) 25 (1983) 1, pp. 27-30
In this paper a technique in given for the simulation and implementation of comb filters. An apropriate discrete model of the comb filter is choosen and through simulation technique are calculated and optimized its parameters. As it is known comb filters are used for different applications...
Persistent link: https://www.econbiz.de/10011051013
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Matrix equations over rings
Jones, John - In: Mathematics and Computers in Simulation (MATCOM) 25 (1983) 6, pp. 489-492
The main purpose of this work is to establish necessary conditions and sufficient conditions for the existence of a solution of matrix equations whose coefficient matrices have elements belonging to the ring R=C[z1,z2,…zn] of polynomials in n variables with complex coefficients and the ring...
Persistent link: https://www.econbiz.de/10011051118
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Simulated effects of flow rate on phosphate retention in soils
Lin, Chenfang; Busscher, Warren J.; Douglas, Lowell A. - In: Mathematics and Computers in Simulation (MATCOM) 25 (1983) 5, pp. 430-435
Phosphate in waste water disposed in the field can be partially or wholly retained in soil, eliminating ground water pollution. The retention ability of soil is affected by many factors, such as soil pH, minerals, structure, water content, solute concentration, solution pH, etc. The flow rate of...
Persistent link: https://www.econbiz.de/10010748451
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PMICE programming methodology
Baccigalupi, A.; Sanges, C. - In: Mathematics and Computers in Simulation (MATCOM) 25 (1983) 1, pp. 51-54
The Hybrid Computer Research Center of the National Research Council of Italy carried out a Digital Differential Analyser, the PMICE, whose architecture has been object of previous works. In the present paper the Authors want to inspect the PMICE from the User point of view: a quick tracking...
Persistent link: https://www.econbiz.de/10010748465
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An alternative approach to state estimation in linear time-invariant systems
Sehitoglu, H. - In: Mathematics and Computers in Simulation (MATCOM) 25 (1983) 4, pp. 356-365
An alternative approach to state estimation problem in linear, time-invariant dynamic systems is presented in this paper. The approach developed first identifies the initial state of the system by using a proportional plus integral parameter identification method. The Lyapunov design technique...
Persistent link: https://www.econbiz.de/10010748482
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A correct derivation of acceleration parameter for hopscotch and checkerboard (P, Q)-cyclic relaxation schemes
Cooke, Charlie H. - In: Mathematics and Computers in Simulation (MATCOM) 25 (1983) 3, pp. 206-209
The correct method for applying the von Neumann stability analysis to composite finite difference schemes for numerical solution of partial differential equations is investigated. Our results provide justification of the hopscotch method and give correction to earlier analyses [1,7]. The methods...
Persistent link: https://www.econbiz.de/10010748506
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Linear and non-linear programming software validity
Tolla, Pierre - In: Mathematics and Computers in Simulation (MATCOM) 25 (1983) 1, pp. 39-42
The numerical software users are often perturbed by accuracy problems imputable to the rounding errors generated by computer hardware. M. La Porte and J. Vignes (4) created the permutation-perturbation method for evaluating the validity of the solutions of linear algebraic systems, detection of...
Persistent link: https://www.econbiz.de/10010748511
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Monte Carlo simulation with moment matching samples
Looney, Carl G. - In: Mathematics and Computers in Simulation (MATCOM) 25 (1983) 3, pp. 237-240
A sample is chosen deterministically from an input distribution to a simulation system. Under certain conditions the mean of the system output sample is equal to the true output mean (up to computational errors). Slightly more stringent conditions guarantee that the output sample variance is...
Persistent link: https://www.econbiz.de/10010748540
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