LEADER 00000cam a2200397 i 4500 
003    OCoLC 
005    20240129213017.0 
006    m     o  d         
007    cr cnu---unuuu 
008    221006s2022    enk     o     000 0 eng d 
020    9781394174201|qelectronic book 
020    1394174209|qelectronic book 
024 7  10.1002/9781394174201|2doi 
029 1  AU@|b000072898439 
035    (OCoLC)1346880273 
037    9781786308238|bO'Reilly Media 
040    YDX|beng|erda|cYDX|dYDX|dDG1|dOCLCF|dORMDA|dLANGC|dOCLCQ
       |dOCLCO 
049    INap 
082 04 519.2 
082 04 519.2|223/eng/20221006 
099    |h[O'Reilly electronic resource] 
100 1  Chakravarthy, Srinivas R. 
245 10 Introduction to matrix-analytic methods in queues 2 :
       |banalytical and simulation approach -- queues and 
       simulation.|h[O'Reilly electronic resource] 
264  1 London ;|aHoboken, NJ :|bJohn Wiley & Sons,|c2022. 
300    1 online resource 
336    text|btxt|2rdacontent 
337    computer|bc|2rdamedia 
338    online resource|bcr|2rdacarrier 
505 0  Front Matter -- Single-Server Queues Embedded at Departure
       Epochs -- Single-Server Queues Embedded at Arrival Epochs 
       -- Single-Server Queues Based on Arbitrary Epochs -- Busy 
       Period in Queues -- Multi-Server Queues -- Finite-Capacity
       Queues -- Simulation -- References -- Index -- Summary of 
       Volume 1 -- Other titles from ISTE in Mathematics and 
       Statistics. 
520    Matrix-analytic methods (MAM) were introduced by Professor
       Marcel Neuts and have been applied to a variety of 
       stochastic models since. In order to provide a clear and 
       deep understanding of MAM while showing their power, this 
       book presents MAM concepts and explains the results using 
       a number of worked-out examples. This book's approach will
       inform and kindle the interest of researchers attracted to
       this fertile field. To allow readers to practice and gain 
       experience in the algorithmic and computational procedures
       of MAM, Introduction to Matrix-Analytic Methods in Queues 
       2 provides a number of computational exercises. It also 
       incorporates simulation as another tool for studying 
       complex stochastic models, especially when the state space
       of the underlying stochastic models under analytic study 
       grows exponentially. This book's detailed approach will 
       make it more accessible for readers interested in learning
       about MAM in stochastic models. 
590    O'Reilly|bO'Reilly Online Learning: Academic/Public 
       Library Edition 
650  0 Matrix analytic methods. 
650  6 Méthodes d'analyse matricielle. 
650  7 Matrix analytic methods|2fast 
856 40 |uhttps://ezproxy.naperville-lib.org/login?url=https://
       learning.oreilly.com/library/view/~/9781786308238/?ar
       |zAvailable on O'Reilly for Public Libraries 
994    92|bJFN