Guides in the application of linear programming to firm decision making, with the goal of giving decision-makers a better understanding of methods at their disposal Useful as a main resource or as a s
This book is based on the lecture notes of the author delivered to the students at the Institute of Science, Banaras Hindu University, India. It covers simplex, revised simplex, two-phase method, dua
"This book addresses the myriad of practical uses and innovative developments of data envelopment analysis, emphasizing the importance of analyzing productivity by measuring inputs, goals, economic gr
This concise but detailed and thorough treatment discusses the rudiments of the well-known simplex method for solving optimization problems in linear programming. Geared toward undergraduate students,
Kalman filter, particle filter, IMM, PDA, ITS, random sets... The number of useful object-tracking methods is exploding. But how are they related? How do they help track everything from aircraft, missiles and extra-terrestrial objects to people and lymphocyte cells? How can they be adapted to novel applications? Fundamentals of Object Tracking tells you how. Starting with the generic object-tracking problem, it outlines the generic Bayesian solution. It then shows systematically how to formulate the major tracking problems – maneuvering, multiobject, clutter, out-of-sequence sensors – within this Bayesian framework and how to derive the standard tracking solutions. This structured approach makes very complex object-tracking algorithms accessible to the growing number of users working on real-world tracking problems and supports them in designing their own tracking filters under their unique application constraints. The book concludes with a chapter on issues critical to successful impl
The aim of stochastic programming is to find optimal decisions in problems which involve uncertain data. This field is currently developing rapidly with contributions from many disciplines including
Incorporating a number of the author’s recent ideas and examples, Dynamic Programming: Foundations and Principles, Second Edition presents a comprehensive and rigorous treatment of dynamic progr
50 Years of Integer Programming features talks and panel discussions from the Aussois workshop in 2008, commemorating the cutting-plane algorithm, which transformed the field. Key topics of integer pr
This updated fourth edition focuses on modeling concepts, design and analysis of algorithms, and implementation in fields as diverse as industrial engineering, operations research, management science,
Written by a trailblazer in the field, this classic of mathematical programming and operational research first appeared decades ago. It remains ever relevant, offering advanced undergraduates and grad
"Linear and Nonlinear Programming" is considered a classic textbook in Optimization. While it is a classic, it also reflects modern theoretical insights. These insights provide structure to what migh
In a relatively short period of time, data envelopment analysis (DEA) has grown into a powerful analytical tool for measuring and evaluating performance. DEA is computational at its core and this book
Optimization Theory and Methods can be used as a textbook for an optimization course for graduates and senior undergraduates. It is the result of the author's teaching and research over the past decad
This textbook for students and practitioners presents a practical approach to decomposition techniques in optimization. It provides an appropriate blend of theoretical background and practical applica
Nonlinearoptimizationproblemscontainingbothcontinuousanddiscretevariables are called mixed integer nonlinear programs (MINLP). Such problems arise in many ?elds, such as process industry, engineering
Karlof (mathematics, U. of North Carolina at Wilmington) presents a varied selection of papers dealing with theory and applications in integer programming. Ten chapters discuss such topics as construc
Modeling Performance Measurement: Applications and Implementation Issues in DEA presents unified results from several authors' recent DEA research. These new DEA methodology and techniques are develop
For the past two decades, researchers in such fields as computer science, electrical engineering, and material science have been working to develop methods capable of finding high-quality approximate
