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The geometric branch-and-bound algorithm

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Part of the book series: Springer Optimization and Its Applications ((SOIANOIA,volume 63))

Abstract

The aim of this chapter is the presentation of the fundamental geometric branch-and-bound algorithm including a general convergence theory. To this end, we start with a literature review of these approaches and their applications to facility location problems in Section 2.1. Next, we give some notations and formally define bounding operations in Section 2.2 before the geometric branch-and-bound prototype algorithm is presented and discussed in Section 2.3. The main contribution of the present chapter can be found in Sections 2.4 and 2.5. Therein, we define the rate of convergence and results about the termination of the algorithm are given. Note that parts of these sections have been published in Schöbel and Scholz (2010b).

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Correspondence to Daniel Scholz .

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© 2012 Springer Science+Business Media, LLC

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Scholz, D. (2012). The geometric branch-and-bound algorithm. In: Deterministic Global Optimization. Springer Optimization and Its Applications(), vol 63. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-1951-8_2

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