Here is the listing of Best reference books on Optimization Models.
|1. “Operations Research: Applications and Algorithms” by Wayne L. Winston
Book Review: This book is famous for its practical approach and stresses on the model formulation and model building. Along with the basics of algorithms, the book covers many more topics. The book also covers most of the recent advancements made in the field of Operations Research, its applications and algorithms and this has been one of the biggest factors for the success of the book. The book also provides CD-ROM which contains the recent versions of software that is needed for optimization, simulation and decision analysis.
|2. “Introduction to Mathematical Programming: Applications and Algorithms” by Wayne L. Winston
Book Review: This book mainly focuses on deterministic models and is a very good textbook for the course on operations research. The book provides many chapters that make it very suitable for semester courses ranging from beginners to intermediate and advanced level. The book also stresses on model formulations and model building skills and also deals with the interpolation of computer software output. This book is very suitable for MBA graduate and undergraduate students. Knowledge of linear algebra is the prerequisite for this book.
|3. “Model Building in Mathematical Programming” by H. Paul Williams
Book Review: This book of mathematical programming discusses the general principles and methodologies of model building that is used in the field of mathematical programming and also illustrates the application of models using practical problems from different contexts. The book also provides solutions to different types of models based on the computational difficulty. The book also demonstrates the pros and cons of mathematical programming and illustrates its application to real situations. The book also stresses on the importance of model building and interpretation rather than the solution process.
|4. “Optimization Concepts and Applications in Engineering” by Ashok D. Belegundu, and Tirupathi R.Chandrupatla
Book Review: This book demonstrates the critical imperative integrating theory, modeling, numerical method development, problem solving hence making the students to apply optimization to the real world problems. The book also covers a range of optimization problems using many techniques like gradient, non-gradient, duality, linear, geometric, integer, dynamic programming and finite element based optimization. The book also contains many solved examples and exercises at the end of chapters along with detailed explanations. This book is suitable for graduate and undergraduate courses in all fields of engineering.
|5. “Introduction to Operations Research” by F. Hillier and G. Lieberman
Book Review: This book demonstrates the changes that have occurred in the development of operations research and the evolving demands of the students. The book presents all the mathematical and statistical models that support decision making. The book also introduces the field of statistics and mathematics into the decision making world. The book includes the chapters of markov models, decision trees and many others.
|6. “Equilibrium Problems and Variational Models” by Franco Giannessi|
|7. “Performance Models and Risk Management in Communications Systems” by Peter Harrison|
|8. “Fuzzy Stochastic Optimization: Theory, Models and Applications” by Shuming Wang Junzo Watada|
|9. “Optimal Control Models in Finance: A New Computational Approach” by Ping Chen|
|10. “Approximation Methods for Polynomial Optimization: Models, Algorithms, and Applications” by Zhening Li, Simai He, Shuzhong Zhang|
Sanfoundry Global Education & Learning Series – Best Reference Books!