Analysis, Modelling, Optimization, and Numerical Techniques
ICAMI, San Andres Island, Colombia, November 2013
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Beschreibung
This book highlights recent compelling research results and trends in various aspects of contemporary mathematics, emphasizing applications to real-world situations. The chapters present exciting new findings and developments in situations where mathematical rigor is combined with common sense. A multi-disciplinary approach, both within each chapter and in the volume as a whole, leads to practical insights that may result in a more synthetic understanding of specific global issues—as well as their possible solutions. The volume will be of interest not only to experts in mathematics, but also to graduate students, scientists, and practitioners from other fields including physics, biology, geology, management, and medicine.
This book highlights recent compelling research results and trends in various aspects of contemporary mathematics, emphasizing applicabilitions to real-world situations. The chapters present exciting new findings and developments in situations where mathematical rigor is combined with common sense. A multi-disciplinary approach, both within each chapter and in the volume as a whole, leads to practical insights that may result in a more synthetic understanding of specific global issues as well as their possible solutions. The volume will be of interest not only to experts in mathematics, but also to graduate students, scientists, and practitioners from other fields including physics, biology, geology, management, and medicine.
Provides mathematical forumulations of problems or models based on specific events Covers a broad range of real-world situations and possible applications Treats situations of interest to researchers in Biology, Physics, Medicine, and Management, as well as Mathematics Includes supplementary material: sn.pub/extras
Autor*in
Gerard Olivar Tost
Themen in »Analysis, Modelling, Optimization, and Numerical Techniques«
applied analysis computational mathematics dynamic systems mathematical modelling operational research stochastic processes