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Can I read Nonlinear PDEs: Mathematical Models in Biology, Chemistry and Population Genetics (Springer Monographs in Mathematics) on EtoBox?

Nonlinear PDEs: Mathematical Models in Biology, Chemistry and Population Genetics (Springer Monographs in Mathematics) by Ghergu M., Radulescu V.D. is a nonfiction available to read on EtoBox.

What is Nonlinear PDEs: Mathematical Models in Biology, Chemistry and Population Genetics (Springer Monographs in Mathematics) about?

Springer, 2011. - 409 Pages. The emphasis throughout the present volume is on the practical application of theoretical mathematical models helping to unravel the underlying mechanisms involved in processes from mathematical physics and biosciences. It has been conceived as a unique collection of abstract methods dealing especially with nonlinear partial differential equations (either stationary or evolutionary) that are applied to understand concrete processes involving some important applications related to phenomena such as: boundary layer phenomena for viscous fluids, population dynamics,, dead core phenomena, etc. It addresses researchers and post-graduate students working at the interplay between mathematics and other fields of science and technology and is a comprehensive introduction to the theory of nonlinear partial differential equations and its main principles also presents their real-life applications in various contexts: mathematical physics, chemistry, mathematical biology, and population genetics. Based on the authors' original work, this volume provides an overview of the field, with examples suitable for researchers but also for graduate students entering research

Who reads Nonlinear PDEs: Mathematical Models in Biology, Chemistry and Population Genetics (Springer Monographs in Mathematics)?

It is typically read by self-directed learners exploring a subject in depth.

Common subject areas: history, science, philosophy, social sciences.

Author
Ghergu M., Radulescu V.D.
Publisher
Springer Berlin Heidelberg : Imprint: Springer
Published
2012
Language
EN
ISBN
9783642269844
Category
nonfiction
Subjects
Science, Mathematics, Physics

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