Mathematical oncology aims to contribute to the better understanding of cancer initiation, progression, and treatment, through the integration and application of mathematical models and simulations.

The whole picture of Mathematical Modeling is systematically and thoroughly explained in this text for undergraduate and graduate students of mathematics, engineering, economics, finance, biology, ...

This Collection is focused on hybrid biological models, bioinformatics, and epidemiological models. It maximizes reader understanding of control, optimization, and applications of complex biological ...