000			02657cam a2200253 a 4500
008			100221s1975 njua b 001 0 eng
010			_a76082807
035			_a(Sirsi) u3577
920			_a0137095767
020			_a9788120301627
020			_a8120301625
040			_aEG-CaNU _c EG-CaNU _d EG-CaNU
042			_ancode
082	0	0	_a001.424 _2 22
100	1		_aWagner, Harvey M. _9627
245	1	0	_aPrinciples of operations research, _b with applications to managerial decisions _c [by] Harvey M. Wagner.
260			_aUpper saddle river, N.J., _b Prentice-Hall _c 1975
300			_axii, 1039 p : _b. ill ; _c 24 cm.
504			_aincludes bibliographical reference and index
505	0		_aThe Art and Science of Executive Decisions. Formulation of Linear Optimization Models. Algebraic and Geometric Representations of Linear Optimization Models. Simplex Method of Solution. Sensitivity Testing and Duality. Transportation Problem. Shortest-Route and Other Network Models. Introduction to Dynamic Optimization Models. Dynamic Optimization of Inventory Scheduling. Other Examples of Dynamic Programming. Decision-Making over an Unbounded Horizon. Optimization Methods for an Unbounded Horizon. Integer Programming and Combinatorial Models. Optimization with a Nonlinear Objective Function. Advanced Techniques in Nonlinear Programming. Introduction to Stochastic Programming Models. Probabilistic Dynamic Programming Models. Dynamic Programming in Markov Chains. Probabilistic Inventory Models. Waiting Line Models. Computer Simulation of Management Systems. Implementation of Operations Research. Advanced Topics in Network Algorithms. Advanced Techniques for Waiting Line Models. Table_Probability of a Busy Period. Selected References. Author Index. Subject Index.
520			_aThe book provides an introduction to operations research presupposing no advanced training in management, industrial relations, mathematics, statistics, probability or economics. Application oriented, it covers all standard topics as well as a few advanced ones.The new edition features completely revised chapters on Transportation Problem. Shortest-Route and Other Network Models. Other Examples of Dynamic Programming and Introduction to Stochastic Programming. The compre-hension of these topics is greatly facilitated by the inclusion of respective examples and numerical examples to initiate the student in the application of models and methods.The material on Integer Programming and Combinatorial Models and Computer Simulation of Management Systems now lays emphasis on the model for formulation.
650		0	_aOperations research _9221
596			_a1
999			_c2566 _d2566