Introduction to operations research / Frederick S. Hillier [and] Gerald J. Lieberman
Material type:
- 9789814738903
- T 57.6 .H55 2015
Item type | Current library | Call number | Materials specified | Status | Date due | Barcode |
---|---|---|---|---|---|---|
![]() |
NU Clark Circulation | GC T 57.6 .H55 2015 (Browse shelf(Opens below)) | Available | NUCLA000001161 |
Browsing NU Clark shelves, Shelving location: Circulation Close shelf browser (Hides shelf browser)
![]() |
![]() |
![]() |
![]() |
![]() |
![]() |
![]() |
||
GC R 864 .S23 2009 Computers in the medical office / | GC SB 433.5 .K63 2020 Bonsai master class : lessons and tips from a Japanese master for all the most popular types of bonsai / | GC SB 473 .L36 2022 Landscaping for dummies / | GC T 57.6 .H55 2015 Introduction to operations research / | GC T 57.6 .K46 2014 Systems analysis and design / | GC T 57.6 .R67 2014 Systems analysis and design / | GC T 58.5 .B36 2022 The kaggle book : data analysis and machine learning for competitive data science / |
Includes index.
Preface -- Chapter 1: Introduction -- Chapter 2: Overview of the operations research modeling approach -- Chapter 3: Introduction to linear programming -- Chapter 4: Solving linear programming problems: the simplex method -- Chapter 5: The theory of the simplex method -- Chapter 6: Duality theory -- Chapter 7: Linear programming under uncertainty -- Chapter 8: Other algorithms for linear programming -- Chapter 9: The transportation and assignment problems -- Chapter 10: Network optimization models -- Chapter 11: Dynamic programming -- Chapter 12: Integer programming -- Chapter 13: nonlinear programming -- Chapter 14: metaheuristics -- Chapter 15: Game theory -- Chapter 16: Decision analysis -- Chapter 17: Queuing theory -- Chapter 18: Inventory theory -- Chapter 19: Markov decision processes -- Chapter 20: Simulation -- Appendices -- Indexes.
"The book begins by providing an overview of OR, its history, and its significant applications. It then delves into the various mathematical techniques used in OR, such as linear programming, network models, and integer programming."
There are no comments on this title.