Many biological processes and objects can be described by fractals. The paper uses a new type of objects – blinking fractals – that are not covered by traditional theories considering dynamics of self-similarity processes. It is shown that both traditional and blinking fractals can be successfully studied by a recent approach allowing one to work numerically with infinite and infinitesimal numbers. It is shown that blinking fractals can be applied for modeling complex processes of growth of biological systems including their season changes. The new approach allows one to give various quantitative characteristics of the obtained blinking fractals models of biological systems
By utilizing the system of the recurrence equations, containing two parameters, the dynamics of two ...
The review article discusses the possibilities of using fractal mathematical analysis to solve scien...
Biological fractals are truncated, i.e., their selfsimilarity extends at most over a few orders of m...
Many biological processes and objects can be described by fractals. The paper uses a new type of obj...
Abstract. Many biological processes and objects can be described by fractals. The paper uses a new t...
Many biological processes and objects can be described by fractals. The paper uses a new type of obj...
The paper considers a new type of objects – blinking fractals – that are not covered by traditional ...
Abstract:- The paper discusses the connection between pattern formation and nonlinear dynamics, focu...
Fractal geometry is a branch of mathematics that deals with, on a basic level, repeating geometric p...
"Stochastic growth processes give rise to diverse and intricate structures everywhere in nature, oft...
This book, along with its companion volume, Nonlinear Dynamics New Directions: Theoretical Aspects, ...
Highly applied in machining, image compressing, network traffic prediction, biological dynamics, ner...
This presentation applies concepts in fractal geometry to the relatively new field of mathematics kn...
This book, along with its companion volume, Nonlinear Dynamics New Directions: Models and Applicatio...
Significant contribution to understanding of complex biological systems emerged from application of ...
By utilizing the system of the recurrence equations, containing two parameters, the dynamics of two ...
The review article discusses the possibilities of using fractal mathematical analysis to solve scien...
Biological fractals are truncated, i.e., their selfsimilarity extends at most over a few orders of m...
Many biological processes and objects can be described by fractals. The paper uses a new type of obj...
Abstract. Many biological processes and objects can be described by fractals. The paper uses a new t...
Many biological processes and objects can be described by fractals. The paper uses a new type of obj...
The paper considers a new type of objects – blinking fractals – that are not covered by traditional ...
Abstract:- The paper discusses the connection between pattern formation and nonlinear dynamics, focu...
Fractal geometry is a branch of mathematics that deals with, on a basic level, repeating geometric p...
"Stochastic growth processes give rise to diverse and intricate structures everywhere in nature, oft...
This book, along with its companion volume, Nonlinear Dynamics New Directions: Theoretical Aspects, ...
Highly applied in machining, image compressing, network traffic prediction, biological dynamics, ner...
This presentation applies concepts in fractal geometry to the relatively new field of mathematics kn...
This book, along with its companion volume, Nonlinear Dynamics New Directions: Models and Applicatio...
Significant contribution to understanding of complex biological systems emerged from application of ...
By utilizing the system of the recurrence equations, containing two parameters, the dynamics of two ...
The review article discusses the possibilities of using fractal mathematical analysis to solve scien...
Biological fractals are truncated, i.e., their selfsimilarity extends at most over a few orders of m...