000			02103nam a2200229 4500
999			_c404 _d404
005			20190923113142.0
008			190911b ||||| |||| 00| 0 eng d
020			_a9780071333467
082			_a658.4034 _bHIL
100			_aHillier, Frederick S. _9819
245			_aIntroduction to operations research
250			_a9th
260			_aNew Delhi _bMcGraw Hill Education (India) Pvt. Ltd. _c2017
300			_axxx, 1102 p.
365			_aINR _b825.00
504			_a1 Introduction 2 Overview of the Operations Research Modeling Approach 3 Introduction to Linear Programming 4 Solving Linear Programming Problems: The Simplex Method 5 The Theory of the Simplex Method 6 Duality Theory 7 Linear Programming under Uncertainty 8 Other Algorithms for Linear Programming 9 The Transportation and Assignment Problems 10 Network Optimization Models 11 Dynamics Programming 12 Integer Programming 13 Nonlinear Programming 14 Metaheuristics 15 Game Theory 16 Decision Analysis 17 Queing ANalysis 18 Inventory Analysis 19 Markov Decision Processes 20 Simulation Appendix 1 Documentation for the OR Courseware Appendex 2 Convexity Appendix 3 Classical Optimization Methods Appendix 4 Matricies and Matrix Operations Appendix 5 Table for a Normal Distribution
520			_aFor over four decades, Introduction to Operations Research by Frederick Hillier has been the classic text on operations research. While building on the classic strengths of the text, the author continues to find new ways to make the text current and relevant to students. One way is by incorporating a wealth of state-of-the-art, user-friendly software and more coverage of business applications than ever before. The hallmark features of this edition include new section and chapters, updated problems, clear and comprehensive coverage of fundamentals, an extensive set of interesting problems and cases, and state-of-the-practice operations research software used in conjunction with examples from the text.
650			_aOperations research _9757
700			_aLieberman, Gerald J. _9820
700			_aBasu, Preetam _9821
942			_2ddc _cBK