Operation Research By Pkgupta And Dshira Free
Operations Research by D S Hira Book Summary: Operations Research is a great way for beginners to get introduced to the vast subject of Operations Research. This book has been so designed that it does not demand a knowledge of advanced mathematics from the reader, but only a basic idea of operations such as differentiation and integration that are enough to enable a reading of this book. The book opens with a general introduction of the basics of Operation Research.
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Following it are several chapters on various topics such as Liner Programming, The Transportation Model, The Assignment Model, Sequencing Models And Related Problems, and Advanced Topics In Liner Programming. There are a number of numerical examples that have been used to explain the underlying ideas of different operations research technique. Also, there are a large number of solved examples that are taken from several fields that aid the understanding of the subject.
The set of unsolved problems come with answers and occasional hints which help the students to test themselves. The book also contains over a thousand illustrations. Gupta is a writer-compiler of academic books. He has made a name for himself by penning several books on subjects such as operational research and environmental science. His books include Solved Problems In Operational Research and Hindu Law and Introduction To Operations Research. Hira is the co-author of this book, and has also co-authored Solved Problems In Operational Research with P. Audience of the Book: This book Useful for engineering Students.
Table of Contents: 1. Basics of Operations Research 2. Linear Programming 3.
The Transportation Model 4. The Assignment Model 5.
Sequencing Models and Related Problems 6. Advanced Topics In Linear Programming 7. Dynamic Programming 8.
Probability Theory 9. Decision Theory, Games, Investment Analysis and Annuity 10. Queuing Models 11. Replacement Models 12. Inventory Models 13. Simulation 14. Network Analysis In Project Planning (Pert and Cpm) 15.
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Statistical Quality Control 16. Non-Linear Programming Appendices.