000			01966cam a2200277 a 4500
008			100325s2006 njua b 001 0 eng
010			_a2005054983
020			_a0131429175
035			_a(Sirsi) u5577
040			_aEG-CaNU _c EG-CaNU _d EG-CaNU
042			_ancode
082	0	4	_a003.3 _2 22
100	1		_aLeemis, Lawrence M _911070
245	1	0	_aDiscrete-event simulation : _ba first course / _c Lawrence M. Leemis, Steve K. Park
260			_aUpper Saddle River, N.J. : _b Pearson Prentice Hall, _c c2006
300			_axv, 604 p. : _b ill. ; _c 25 cm
504			_aIncludes bibliographical references and index
505	0		_aModels -- RandomNumber Generation -- DiscreteEvent Simulation -- statistics -- next-event simulation -- discrete random cariables -- continuous random varianles -- output analysis -- input modeling -- projects.
520			_aThis volume introduces computational and mathematical techniques for modeling, simulating, and analyzing the performance of various systems.Helps readers gain a better understanding of how systems operate and respond to change by: 1) helping them begin to model, simulate, and analyze simple-but-representative systems as soon as possible; and 2) whenever possible, encouraging the experimental exploration and self-discovery of theoretical results before their formal presentation. Features an approachable writing style that emphasizes concepts and insight without sacrificing rigor. Provides C software as source code for running simulations developed in the book, eliminating the need for readers to do all their programming from scratch. Emphasizes an algorithmic approach throughout.A useful reference for industrial engineers.
650		0	_aDiscrete-time systems _vTextbooks _9390
650		0	_aComputer simulation _vTextbooks _911071
650		0	_aMathematical models _vTextbooks _911072
650		0	_aRandom variables _vTextbooks _910931
700	1		_aPark, Stephen Keith _911073
596			_a1
999			_c4584 _d4584