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Thinking Probabilistically - Stochastic Processes, Disordered Systems, and Their Applications (Hardcover) Loot Price: R3,099
Discovery Miles 30 990
You Save: R249 (7%)
Thinking Probabilistically - Stochastic Processes, Disordered Systems, and Their Applications (Hardcover): Ariel Amir

Thinking Probabilistically - Stochastic Processes, Disordered Systems, and Their Applications (Hardcover)

Ariel Amir

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Was R3,348 Loot Price R3,099 Discovery Miles 30 990 | Repayment Terms: R290 pm x 12* You Save R249 (7%)

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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.

General

Imprint: Cambridge UniversityPress
Country of origin: United Kingdom
Release date: December 2020
Authors: Ariel Amir
Dimensions: 250 x 175 x 17mm (L x W x T)
Format: Hardcover
Pages: 242
ISBN-13: 978-1-108-47952-3
Categories: Books > Science & Mathematics > Mathematics > Probability & statistics
Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematical modelling
Books > Science & Mathematics > Mathematics > Applied mathematics > Stochastics
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LSN: 1-108-47952-9
Barcode: 9781108479523

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