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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.
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.
Students with diverse backgrounds will face a multitude of decisions in a variety of engineering, scientific, industrial, and financial settings. They will need to know how to identify problems that the methods of operations research (OR) can solve, how to structure the problems into standard mathematical models, and finally how to apply or develop computational tools to solve the problems.
Perfect for any one-semester course in OR, Operations Research: A Practical Introduction answers all of these needs. In addition to providing a practical introduction and guide to using OR techniques, it includes a timely examination of innovative methods and practical issues related to the development and use of computer implementations. It provides a sound introduction to the mathematical models relevant to OR and illustrates the effective use of OR techniques with examples drawn from industrial, computing, engineering, and business applications
Many students will take only one course in the techniques of Operations Research. Operations Research: A Practical Introduction offers them the greatest benefit from that course through a broad survey of the techniques and tools available for quantitative decision making. It will also encourage other students to pursue more advanced studies and provides you a concise, well-structured, vehicle for delivering the best possible overview of the discipline.
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