000			01736cam a22002178i 4500
008			200514s2021 enk b 001 0 eng
020			_a9781108789981
041			_aeng
080			_a519.2 _bAMI
100	1		_aAmir, Ariel,
245	1	0	_aThinking probabilistically _bStochastic processes, disordered systems and their applications
260			_aCambridge _b Cambridge University Press _c2021
300			_a233 p.
504			_aIncludes bibliographical references and index.
520			_a"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"--
650		0	_aProbabilities _vTextbooks.
650		0	_aStochastic processes _vTextbooks.
650		0	_aOrder-disorder models _vTextbooks.
690			_aMathematics
942			_cBK _01
999			_c58786 _d58786