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008 121205s2013 xxu| s |||| 0|eng d
020 _a9781461449096
_9978-1-4614-4909-6
024 7 _a10.1007/978-1-4614-4909-6
_2doi
050 4 _aQA273.A1-274.9
050 4 _aQA274-274.9
072 7 _aPBT
_2bicssc
072 7 _aPBWL
_2bicssc
072 7 _aMAT029000
_2bisacsh
082 0 4 _a519.2
_223
100 1 _aLatouche, Guy.
_eeditor.
245 1 0 _aMatrix-Analytic Methods in Stochastic Models
_h[electronic resource] /
_cedited by Guy Latouche, Vaidyanathan Ramaswami, Jay Sethuraman, Karl Sigman, Mark S. Squillante, David Yao.
264 1 _aNew York, NY :
_bSpringer New York :
_bImprint: Springer,
_c2013.
300 _aXIV, 256 p. 47 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aSpringer Proceedings in Mathematics & Statistics,
_x2194-1009 ;
_v27
505 0 _aFactorization properties for a MAP-modulated fluid flow model under server vacation policies -- A compressed cyclic reduction for QBDs with low rank upper and lower transitions -- Bilateral matrix-exponential distribution -- AutoCAT: Automated Product-Form Solution of Stochastic Models -- Markovian trees subject to catastrophes: Would they survive forever? -- Majorization and Extremal PH-Distributions -- Acceptance-rejection methods for generating random variates from matrix exponential distributions and rational arrival processes -- Revisit to the tail asymptotics of the double QBD process: Refinement and complete solutions for the coordinate and diagonal directions -- Two-dimensional fluid queues with temporary assistance -- A Fluid Introduction To Brownian Motion & Stochastic Integration -- The impact of dampening demand variability in a production/inventory system with multiple retailers.
520 _aMatrix-analytic and related methods have become recognized as an important and fundamental approach for the mathematical analysis of general classes of complex stochastic models.  Research in the area of matrix-analytic and related methods seeks to discover underlying probabilistic structures intrinsic in such stochastic models, develop numerical algorithms for computing functionals (e.g., performance measures) of the underlying stochastic processes, and apply these probabilistic structures and/or computational algorithms within a wide variety of fields.  This volume presents recent research results on: the theory, algorithms and methodologies concerning matrix-analytic and related methods in stochastic models; and the application of matrix-analytic and related methods in various fields, which includes but is not limited to computer science and engineering, communication networks and telephony, electrical and industrial engineering, operations research, management science, financial and risk analysis, and bio-statistics.  These research studies provide deep insights and understanding of the stochastic models of interest from a mathematics and applications perspective, as well as identify directions for future research.
650 0 _aMathematics.
650 0 _aNumerical analysis.
650 0 _aDistribution (Probability theory).
650 1 4 _aMathematics.
650 2 4 _aProbability Theory and Stochastic Processes.
650 2 4 _aNumerical Analysis.
650 2 4 _aOperations Research, Management Science.
700 1 _aRamaswami, Vaidyanathan.
_eeditor.
700 1 _aSethuraman, Jay.
_eeditor.
700 1 _aSigman, Karl.
_eeditor.
700 1 _aSquillante, Mark S.
_eeditor.
700 1 _aYao, David.
_eeditor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9781461449089
830 0 _aSpringer Proceedings in Mathematics & Statistics,
_x2194-1009 ;
_v27
856 4 0 _uhttp://dx.doi.org/10.1007/978-1-4614-4909-6
912 _aZDB-2-SMA
999 _c95255
_d95255