Thinking Probabilistically: Stochastic Processes, Disordered Systems, and Their Applications (Cambridge Texts in Applied Mathematics)

Amir, Ariel

ISBN 10: 1108789986 / ISBN 13: 9781108789981

Published by Cambridge University Press, 2020

About this Item

Most items will be dispatched the same or the next working day. An apparently unread copy in perfect condition. Dust cover is intact with no nicks or tears. Spine has no signs of creasing. Pages are clean and not marred by notes or folds of any kind.

Seller Inventory # rev8242862161

Bibliographic Details

• Title: Thinking Probabilistically: Stochastic Processes, Disordered Systems, and Their Applications (Cambridge Texts in Applied Mathematics)
• Publisher: Cambridge University Press
• Publication Date: 2020
• Language: English
• ISBN 10: 1108789986
• ISBN 13: 9781108789981
• Binding: Soft cover
• Condition: Like New
• Weight: 440 grams

About this title

Synopsis

Probability theory has diverse applications in a plethora of fields, including physics, engineering, computer science, chemistry, biology and economics. This book will familiarize students with various applications of probability theory, stochastic modeling and random processes, using examples from all these disciplines and more. The reader learns via case studies and begins to recognize the sort of problems that are best tackled probabilistically. The emphasis is on conceptual understanding, the development of intuition and gaining insight, keeping technicalities to a minimum. Nevertheless, a glimpse into the depth of the topics is provided, preparing students for more specialized texts while assuming only an undergraduate-level background in mathematics. The wide range of areas covered - never before discussed together in a unified fashion – includes Markov processes and random walks, Langevin and Fokker–Planck equations, noise, generalized central limit theorem and extreme values statistics, random matrix theory and percolation theory.

About the Author

Ariel Amir is a Professor at Harvard University, Massachusetts. His research centers on the theory of complex systems.