|
|
|
Krzysztof Wojciech Fornalski
Every living organism is a physical, complex system which can be modeled by nonlinear dynamical equations in some very narrowed cases. Here we discuss the adoption and potential application of Lotka?Volterra equations (with damping) to simulate, on a ver...
ver más
|
|
|
|
|
|
|
T. G. Vozmishcheva
Pág. 3 - 12
The models of nonlinear competing processes on the base of the modification of the Lotka ? Volterra system: the Richardson arms race model, the Lanchester war or battle model, the predator-prey model are presented and studied in the article. The qualitat...
ver más
|
|
|
|
|
|
|
Joel Dearden, Yi Gong, Mark Jones and Alan Wilson
Urban areas are now the dominant human habitat, with more influence than ever on economies, environment and our health. Dynamic urban models are increasingly applied to explore possible future scenarios of urban development to achieve sustainability. How...
ver más
|
|
|
|
|
|
|
Pavel Kindlmann, Zuzana ?tipkova, Anthony F. G. Dixon
Pág. 133 - 140
|
|
|
|
|
|
|
Gyurhan Nedzhibov
Dynamic Mode Decomposition with Control is a powerful technique for analyzing and modeling complex dynamical systems under the influence of external control inputs. In this paper, we propose a novel approach to implement this technique that offers comput...
ver más
|
|
|
|
|
|
|
Vivien Lorencic, Elen Twrdy and Milan Batista
Cruise shipping has been extremely popular in recent years, and one of the fastest-growing areas has been the Mediterranean. In the paper, we examine the evaluation of possible competitive?cooperative relationships among Mediterranean cruise ports for th...
ver más
|
|
|
|
|
|
|
Ahmad Pervez, Preet Pal Singh, Hakan Bozdogan
Pág. 97 - 101
Prey-predator interactions have been modelled by numerous workers. Ecologists have continuously modified Lotka?Volterra equations in order to provide more realistic descriptions of the complexity of these interactions. The response of predator(s) to incr...
ver más
|
|
|
|
|
|
|
Ebenezer O. Oluwasakin and Abdul Q. M. Khaliq
Artificial neural networks have changed many fields by giving scientists a strong way to model complex phenomena. They are also becoming increasingly useful for solving various difficult scientific problems. Still, people keep trying to find faster and m...
ver más
|
|
|
|