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Latest developments in the SDPA family for solving large-scale SDPs. (English) Zbl 1334.90119
Anjos, Miguel F. (ed.) et al., Handbook on semidefinite, conic and polynomial optimization. New York, NY: Springer (ISBN 978-1-4614-0768-3/hbk; 978-1-4614-0769-0/ebook). International Series in Operations Research & Management Science 166, 687-713 (2012).
Summary: The main purpose of this chapter is to introduce the latest developments in SDPA and its family. SDPA is designed to solve large-scale SemiDefinite Programs (SDPs) faster and over the course of 15 years of development, it has been expanded into a high-performance-oriented software package. We hope that this introduction to the latest developments of the SDPA Family will be beneficial to readers who wish to understand the inside of state-of-art software packages for solving SDPs.
For the entire collection see [Zbl 1235.90002].

MSC:
90C22 Semidefinite programming
90-02 Research exposition (monographs, survey articles) pertaining to operations research and mathematical programming
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