Abstract:
The state-of-the-arts in biology needs the analysis of a bulk of experimental data. Mathematical modeling of biological processes is one of the ways to do it, with a purpose of revealing regularities, proving hypotheses and reasonable predictions. Evolution of organisms is especially attractive for mathematical modeling because it integrates a large number of different types of processes, whose state varies depending on time and location. In the present paper, the authors review the models of biological processes as related to plants evolution. The models have been classified and the approaches and mathematical techniques of modeling complicated problems are described.