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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 41 - 50 of 4,054
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Modelling pulsed immunotherapy of tumour–immune interaction
Yang, Jin; Tang, Sanyi; Cheke, Robert A. - In: Mathematics and Computers in Simulation (MATCOM) 109 (2015) C, pp. 92-112
We develop a mathematical model that describes the tumour–immune interaction and the effect on it of pulsed immunotherapy, based on the administration of adoptive cellular immunotherapy (ACI) combined with interleukin-2 (IL-2). The stability conditions for the tumour-free periodic solution are...
Persistent link: https://www.econbiz.de/10011117198
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Agglomeration dynamics and first nature asymmetries
Agliari, Anna; Commendatore, Pasquale; Foroni, Ilaria; … - In: Mathematics and Computers in Simulation (MATCOM) 108 (2015) C, pp. 81-98
The standard footloose capital (FC) model, as well as the discrete time version, assumes that all capital units are internationally mobile between two regions. In this paper, we assume that in one of the two regions some of the blueprints/capital units may be immobile because their utilization...
Persistent link: https://www.econbiz.de/10011117199
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Takeoff vs. stagnation in endogenous recombinant growth models
Privileggi, Fabio - In: Mathematics and Computers in Simulation (MATCOM) 108 (2015) C, pp. 184-214
This paper concludes the study of transition paths in the continuous-time recombinant endogenous growth model by providing numerical methods to estimate the threshold initial value of capital (a Skiba-type point) above which the economy takes off toward sustained growth in the long run, while it...
Persistent link: https://www.econbiz.de/10011117200
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Instability and network effects in innovative markets
Sgrignoli, P.; Agliari, E.; Burioni, R.; Schianchi, A. - In: Mathematics and Computers in Simulation (MATCOM) 108 (2015) C, pp. 260-271
We consider a network of interacting agents and we model the process of choice on the adoption of a given innovative product by means of statistical-mechanics tools. The modelization allows us to focus on the effects of direct interactions among agents in establishing the success or failure of...
Persistent link: https://www.econbiz.de/10011117201
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New quadratic lower bound for multivariate functions in global optimization
Ouanes, Mohand; Thi, Le; An, Hoai; Nguyen, Trong Phuc; … - In: Mathematics and Computers in Simulation (MATCOM) 109 (2015) C, pp. 197-211
The method investigated in this paper is concerned with the multivariate global optimization with box constraints. A new quadratic lower bound in a branch and bound framework is proposed. For a continuous, twice differentiable function f, the new lower bound is given by a difference of the...
Persistent link: https://www.econbiz.de/10011117202
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Dynamic oligopolies with contingent workforce and investment costs
Merlone, Ugo; Szidarovszky, Ferenc - In: Mathematics and Computers in Simulation (MATCOM) 108 (2015) C, pp. 144-154
Cournot oligopolies are examined with two kinds of output adjustment costs, which model the use of contingent work force and additional investments. The best responses of the firms are first determined and the partial adjustment toward best responses is assumed in formulating a dynamic model....
Persistent link: https://www.econbiz.de/10011117203
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A simple financial market model with chartists and fundamentalists: Market entry levels and discontinuities
Tramontana, Fabio; Westerhoff, Frank; Gardini, Laura - In: Mathematics and Computers in Simulation (MATCOM) 108 (2015) C, pp. 16-40
We present a simple financial market model with interacting chartists and fundamentalists. Since some speculators only become active when a certain misalignment level has been crossed, the model dynamics is driven by a discontinuous piecewise linear map. Recent mathematical techniques allow a...
Persistent link: https://www.econbiz.de/10011117204
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Basins of attraction for Zhou–Chen–Song fourth order family of methods for multiple roots
Chun, Changbum; Neta, Beny - In: Mathematics and Computers in Simulation (MATCOM) 109 (2015) C, pp. 74-91
There are very few optimal fourth order methods for solving nonlinear algebraic equations having roots of multiplicity m. In a previous paper we have compared 5 such methods, two of which require the evaluation of the (m−1)th root. We have used the basin of attraction idea to recommend the...
Persistent link: https://www.econbiz.de/10011117205
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Constructing adaptive generalized polynomial chaos method to measure the uncertainty in continuous models: A computational approach
Chen-Charpentier, B.-M.; Cortés, J.-C.; Licea, J.-A.; … - In: Mathematics and Computers in Simulation (MATCOM) 109 (2015) C, pp. 113-129
Due to errors in measurements and inherent variability in the quantities of interest, models based on random differential equations give more realistic results than their deterministic counterpart. The generalized polynomial chaos (gPC) is a powerful technique used to approximate the solution of...
Persistent link: https://www.econbiz.de/10011117206
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Typical bifurcation scenario in a three region identical New Economic Geography model
Commendatore, Pasquale; Kubin, Ingrid; Sushko, Iryna - In: Mathematics and Computers in Simulation (MATCOM) 108 (2015) C, pp. 63-80
We study global dynamics of the New Economic Geography model which describes spatial distribution of industrial activity in the long run across three identical regions depending on the balancing of agglomeration and dispersion forces. It is defined by a two-dimensional piecewise smooth map...
Persistent link: https://www.econbiz.de/10011117207
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