000			03163nam a22004217a 4500
003			IIITD
005			20210319161646.0
008			210316b xxu||||| |||| 00| 0 eng d
010			_a 2019739581
020			_a9783319819013
024	7		_a10.1007/978-3-319-39502-9 _2doi
035			_a(DE-He213)978-3-319-39502-9
040			_aDLC _beng _epn _erda _cDLC
082	0	4	_a621 _bSCH-S
100	1		_aSchuster, Peter
245	1	0	_aStochasticity in processes : _bfundamentals and applications to chemistry and biology _cby Peter Schuster.
260			_aSwitzerland : _bSpringer, _c©2016
300			_axvi, 718 p. : _bill. ; _c23 cm.
490			_aSpringer Series in Synergetics
500			_aIt includes Bibliographical References and Index
505	0		_aProbability -- Distributions, Moments and Statistics -- Stochastic Processes -- Applications in Chemistry -- Applications in Biology -- Perspectives -- References -- Glossary -- Notation.
520			_aThis book has developed over the past fifteen years from a modern course on stochastic chemical kinetics for graduate students in physics, chemistry and biology. The first part presents a systematic collection of the mathematical background material needed to understand probability, statistics, and stochastic processes as a prerequisite for the increasingly challenging practical applications in chemistry and the life sciences examined in the second part. Recent advances in the development of new techniques and in the resolution of conventional experiments at nano-scales have been tremendous: today molecular spectroscopy can provide insights into processes down to scales at which current theories at the interface of physics, chemistry and the life sciences cannot be successful without a firm grasp of randomness and its sources. Routinely measured data is now sufficiently accurate to allow the direct recording of fluctuations. As a result, the sampling of data and the modeling of relevant processes are doomed to produce artifacts in interpretation unless the observer has a solid background in the mathematics of limited reproducibility. The material covered is presented in a modular approach, allowing more advanced sections to be skipped if the reader is primarily interested in applications. At the same time, most derivations of analytical solutions for the selected examples are provided in full length to guide more advanced readers in their attempts to derive solutions on their own. The book employs uniform notation throughout, and a glossary has been added to define the most important notions discussed.
650		0	_aStatistical physics.
650		0	_aDynamical systems.
650		0	_aChemistry, Physical and theoretical.
650		0	_aBiophysics.
650		0	_aBiological physics.
650		0	_aBiomathematics.
650		0	_aBiostatistics.
650		0	_aSystems biology.
650	1	4	_aComplex Systems.
650	2	4	_aTheoretical and Computational Chemistry.
650	2	4	_aBiological and Medical Physics, Biophysics.
650	2	4	_aMathematical and Computational Biology.
650	2	4	_aBiostatistics.
650	2	4	_aSystems Biology.
942			_2ddc _cBK
999			_c156367 _d156367