Optimization Modeling with LINDO
New Expanded Fifth Edition
You may have already built a few
successful optimization models. However, with a more thorough
understanding of the optimization modeling and a deeper knowledge of
how it can be applied, you may find that you have only scratched the
surface. Optimization Modeling with LINDO, by Linus Schrage
can help you gain the knowledge and understanding to discover and build
new applications and make existing models more efficient. |
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Earlier editions have been used as a textbook in numerous college and
graduate courses and as a reference text by thousands of practitioners
in building commercial applications. Even more than in previous
editions, the emphasis of the new fifth edition is on teaching novices
and experts alike how to apply linear programming and related planning
techniques to real problems of business and industry.
Weighing in at over 600 pages, Optimization Modeling with LINDO
contains in-depth discussion on all major classes of optimization
problems, and it includes what may be the most exhaustive group of real
world based examples of any text on linear, integer and quadratic
programming. While the examples are expressed in LINDO format, the
modeling principles and techniques can be applied to LINGO and What’sBest!
models.
Nearly every chapter has new examples and exercise problems, and a
number of chapters have received more extensive expansion. Substantial
new material has been added to the chapters on:
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Networks and their variations, ranging from special cases
such as the assignment problem to generalizations such as
multicommodity flow, generalized networks, activity-resource
diagrams,
Goal programming, multi-criteria, data envelopment analysis
and other methods for measuring efficiency: A very
comprehensive treatment of methods for measuring efficiency
of organizations is given with numerical examples,
Financial portfolio models and quadratic programming: A
comprehensive sequence of numerical examples is given
illustrating the simple Markowitz portfolio model, the
factor model, scenario approach, managing a portfolio in the
face of transaction costs, hedging and matching benchmark
portfolios,
Decision making under uncertainty: Examples are given
illustrating the scenario approach and concepts such as the
value of information, the value of modeling uncertainty,
utility functions and downside risk, and certainty
equivalence,
Integer programming: more examples have been added, as well
as some discussion on the great importance of proper
formulation when solving integer programs. |
Make room on your shelf for one of the most comprehensive
expositions available on how to apply optimization/mathematical
programming to business and industrial problems. It is to be
published by Duxbury Press and now available. Information for
ordering can be found on theorder page
of this website. |