Fractal Geometry in Biological Systems: An Analytical ApproachCRC Press, 25.7.1996 - 384 sivua Fractal Geometry in Biological Systems was written by the leading experts in the field of mathematics and the biological sciences together. It is intended to inform researchers in the bringing about the fundamental nature of fractals and their widespread appearance in biological systems. The chapters explain how the presence of fractal geometry can be used in an analytical way to predict outcomes in systems, to generate hypotheses, and to help design experiments. The authors make the mathematics accessible to a wide audience and do not assume prior experience in this area. |
Sisältö
chapter | 9 |
chapter | 15 |
Acknowledgments | 27 |
Acknowledgments | 54 |
chapter four | 57 |
Acknowledgment | 120 |
chapter five | 127 |
chapter | 173 |
References | 185 |
chapter eight | 205 |
chapter nine | 249 |
Acknowledgments | 264 |
Acknowledgment | 311 |
Fractal Geometry | 317 |
References | 342 |
Yleiset termit ja lausekkeet
activation energy activation energy barriers agar algorithm attractor bacterial colonies behavior biological brain Brownian Brownian motion Buldyrev calculated cells chaotic characterized closed cluster complex conformational correlation dimension curve D₁ density described determined deterministic diffusion distribution dynamics EEG/ERP embedding dimension entropy enzyme Equation estimate example experimental factors fat fractals fluctuations fractal analysis fractal dimension fractal geometry Fractal Growth fractal model fracton function Goldberger Havlin histogram interbeat interval ion channel kinetic rate constant Koch length Lévy Liebovitch ligand linear log-log plot long-range correlations Markov model measure method molecular molecule morphogenesis morphology mosaic pattern multifractal noise noncoding noncoding DNA nutrient obtained parameters patch Peng perimeter Phys pixels points polymer power-law probability properties protein chain random walk reaction region self-affine self-similarity Serratia marcescens shown in Figure simulation Stanley statistical structure substrate surface surface fractal technique tertiary structure tissue