000			a
999			_c32345 _d32345
008			231101b xxu||||| |||| 00| 0 eng d
020			_a9781108789981
082			_a519.2 _bAMI
100			_aAmir, Ariel
245			_aThinking probabilistically : stochastic processes, disordered systems and their applications
260			_bCambridge University Press, _c2020 _aCambridge :
300			_avii, 233 p. ; _bill., _c25 cm.
365			_b41.99 _cGBP _d107.60
504			_aIncludes bibliographical references and index.
520			_aProbability 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.
650			_aDivergence Theory
650			_aAnomalous Diffusion
650			_aPrecolation theory
650			_aRandom matrix theory
650			_aFokker-Planck equations
650			_aLangevin equations
650			_aMarkov process
650			_aExtreme value Statistics
942			_2ddc _cBK