Principles of Mathematical Modelling: Ideas, Methods, Examples

Product Description Mathematical modeling is becoming increasingly versatile and multi-disciplinary. This text demonstrates the broadness of this field as the authors consider the principles of model construction and use common approaches to build models from a range of subject areas. The book reflects the interests and experiences of the authors, but it explores mathematical modeling across a wide range of applications, from mechanics to social science. A general approach is adopted, where ideas and examples are favored over rigorous mathematical procedures. This insightful book will be of interest to specialists, teachers, and students across a wide range of disciplines.. About the Author Professor Alexander A. Samarskii is Director of the Institute of Mathematical Modelling at the Russian Academy of Science and has been the leader of the Russian National Program for Mathematical Modelling in Science and Technology since 1985. He is a world-renowned researcher who has obtained outstanding results and contributed grately to the development of these subjects.Professor Alexander P Mikhailov is a Head of Department at the Institute of Mathematical Modelling at the Russian Academy of Science and is a Professor of M V Lomonosov Moscow State University. His research interests include mathematical physics, the theory of nonlinear phenomena, mathematical modelling of dissipative structures and mathematical modelling of socio-political processes.