Handbook of Optimisation Methods in Operations Research and Systems Analysis PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Handbook of Optimisation Methods in Operations Research and Systems Analysis PDF full book. Access full book title Handbook of Optimisation Methods in Operations Research and Systems Analysis by Luigi Cirocco. Download full books in PDF and EPUB format.
Author: Luigi Cirocco
Publisher:
ISBN: 9781781543290
Category :
Languages : en
Pages :
Get Book Here
Book Description
Author: Luigi Cirocco
Publisher:
ISBN: 9781781543290
Category :
Languages : en
Pages :
Get Book Here
Book Description
Author: K V Mital
Publisher: New Age International
ISBN: 9788122408737
Category : Linear programming
Languages : en
Pages : 408
Get Book Here
Book Description
The Mathematical Aspects Of Operations Research And Systems Analysis Concerned With Optimization Of Objectives Form The Subject Of This Book. In Its Revised, Updated And Enlarged Third Edition, Discussion On Linear Programming Has Been Expanded And Recast With Greater Emphasis On Duality Theory, Sensitivity Analysis, Parametric Programming, Multiobjective And Goal Programming And Formulation And Solution Of Practical Problems. Chapters On Nonlinear Programming Include Integer Programming, Kuhn-Tucker Theory, Separable And Quadratic Programming, Dynamic Programming, Geometric Programming And Direct Search And Gradient Methods. A Chapter On Theory Of Games Is Also Included. A Short Note On Karmarkars Projective Algorithm Is Given In The Appendix.The Book Keeps In View The Needs Of The Student Taking A Regular Course In Operations Research Or Mathematical Programming, And Also Of Research Scholars In Other Disciplines Who Have A Limited Objective Of Learning The Practical Aspects Of Various Optimization Methods To Solve Their Special Problems. For The Former, Illustrative Solved Examples And Unsolved Examples At The End Of Each Chapter, Small Enough To Be Solved By Hand, Would Be Of Greater Interest, While For He Latter, Summaries Of Computational Algorithms For Various Methods Which Would Help Him To Write Computer Programmes To Solve Larger Problems Would Be More Helpful. A Few Computer Programmes In Fortran Iv Have Also Been Given In The Appendix.
Author: K. V. Mital
Publisher:
ISBN:
Category : Mathematical optimization
Languages : en
Pages : 352
Get Book Here
Book Description
Author: Zhuhong Zhang
Publisher:
ISBN: 9781781547113
Category :
Languages : en
Pages : 300
Get Book Here
Book Description
Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 259
Get Book Here
Book Description
Author: Peter Langlow
Publisher:
ISBN:
Category : Mathematical optimization
Languages : en
Pages : 0
Get Book Here
Book Description
Author: Christopher S. Tang
Publisher: Springer Science & Business Media
ISBN: 0387752404
Category : Business & Economics
Languages : en
Pages : 287
Get Book Here
Book Description
This is a carefully developed work focused on the analysis of supply chain interaction issues in emerging markets and industry sectors. It is a leading-edge handbook that will emphasize areas of study where, thus far, little work has been done and where the "rubber meets the road" – the supply chain process, information, and systems integration. These are pertinent issues facing practitioners and researchers in today’s business environment. This is a gap-bridging handbook that analyzes interaction issues from both the research and practitioner sides. The result is a volume that examines and provides practical solutions on interaction issues while being firmly grounded in research principles.
Author: B. D. Sivazlian
Publisher:
ISBN:
Category : Mathematical optimization
Languages : en
Pages : 502
Get Book Here
Book Description
Author: Michael Carter
Publisher: CRC Press
ISBN: 1498780113
Category : Business & Economics
Languages : en
Pages : 448
Get Book Here
Book Description
Operations Research: A Practical Introduction is just that: a hands-on approach to the field of operations research (OR) and a useful guide for using OR techniques in scientific decision making, design, analysis and management. The text accomplishes two goals. First, it provides readers with an introduction to standard mathematical models and algorithms. Second, it is a thorough examination of practical issues relevant to the development and use of computational methods for problem solving. Highlights: All chapters contain up-to-date topics and summaries A succinct presentation to fit a one-term course Each chapter has references, readings, and list of key terms Includes illustrative and current applications New exercises are added throughout the text Software tools have been updated with the newest and most popular software Many students of various disciplines such as mathematics, economics, industrial engineering and computer science often take one course in operations research. This book is written to provide a succinct and efficient introduction to the subject for these students, while offering a sound and fundamental preparation for more advanced courses in linear and nonlinear optimization, and many stochastic models and analyses. It provides relevant analytical tools for this varied audience and will also serve professionals, corporate managers, and technical consultants.
Author: Michael C Fu
Publisher: Springer
ISBN: 1493913840
Category : Business & Economics
Languages : en
Pages : 400
Get Book Here
Book Description
The Handbook of Simulation Optimization presents an overview of the state of the art of simulation optimization, providing a survey of the most well-established approaches for optimizing stochastic simulation models and a sampling of recent research advances in theory and methodology. Leading contributors cover such topics as discrete optimization via simulation, ranking and selection, efficient simulation budget allocation, random search methods, response surface methodology, stochastic gradient estimation, stochastic approximation, sample average approximation, stochastic constraints, variance reduction techniques, model-based stochastic search methods and Markov decision processes. This single volume should serve as a reference for those already in the field and as a means for those new to the field for understanding and applying the main approaches. The intended audience includes researchers, practitioners and graduate students in the business/engineering fields of operations research, management science, operations management and stochastic control, as well as in economics/finance and computer science.
