New PDF release: Applied Integer Programming: Modeling and Solution

By Der-San Chen

An obtainable remedy of the modeling and answer of integer programming difficulties, that includes smooth functions and softwareIn order to completely understand the algorithms linked to integer programming, it is very important comprehend not just how algorithms paintings, but additionally why they paintings. utilized Integer Programming incorporates a special emphasis in this aspect, targeting challenge modeling and answer utilizing advertisement software program. Taking an application-oriented process, this ebook addresses the paintings and technological know-how of mathematical modeling concerning the combined integer programming (MIP) framework and discusses the algorithms and linked practices that permit these versions to be solved so much efficiently.The ebook starts off with insurance of profitable functions, systematic modeling strategies, commonplace version varieties, transformation of non-MIP types, combinatorial optimization challenge types, and automated preprocessing to procure a greater formula. next chapters current algebraic and geometric simple ideas of linear programming idea and community flows wanted for realizing integer programming. eventually, the booklet concludes with classical and sleek resolution techniques in addition to the most important parts for development an built-in software program approach able to fixing large-scale integer programming and combinatorial optimization problems.Throughout the e-book, the authors reveal crucial suggestions via a variety of examples and figures. each one new idea or set of rules is observed via a numerical instance, and, the place acceptable, photographs are used to attract jointly various difficulties or ways right into a unified entire. additionally, good points of answer techniques present in latest advertisement software program are pointed out through the book.Thoroughly classroom-tested, utilized Integer Programming is a superb ebook for integer programming classes on the upper-undergraduate and graduate degrees. It additionally serves as a well-organized reference for pros, software program builders, and analysts who paintings within the fields of utilized arithmetic, computing device technological know-how, operations study, administration technology, and engineering and use integer-programming ideas to version and remedy real-world optimization difficulties.

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Extra resources for Applied Integer Programming: Modeling and Solution

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In Chapter 3, beyond the simple use of 0-1 variables discussed in Chapter 2, the formulation power of 0-1 variables extends their ability to transform a variety of optimization models into integer programs. Transformable optimization models are identified and grouped together according to the types of decision variables, mathematical functions, and constraints. This chapter also describes the relation between logical (Boolean) expressions and 0-1 formulations, in addition to modeling the bundle pricing problem, which is a common business practice.

Model solution ' '' Real-world conclusion (optimal policy) III. 5 Three phases of an OR study. " There is also a postmodel phase "Implementation of the optimal policy" in the organizational environment. The policy is translated into action by managers and workers under authority of the client. Modeling is therefore central to any application of OR, and the construction of an OR model is in part both art and science. There are many cases where practitioners who follow the following three-step "model construction process" naturally arrive at a model formulation: Step 1.

Chapter 12 addresses a modern solution approach known as the branchand-cut, in which a substantial portion of the discussion centers on the generation of cuts that are useful for solving general and special integer programs. In the previous chapter, branch-and-bound is generalized to include generation of cuts or rows, hence the name branch-and-cut. In Chapter 13, branch-and-bound is first generalized to include generation of columns by solving pricing problems, hence the name branch-and-price, and then generalized to include columns and rows, hence the name branch-and-price-and-cut.

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