4.1 Article Proceedings Paper

The complexity of optimizing over a simplex, hypercube or sphere: a short survey

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SPRINGER
DOI: 10.1007/s10100-007-0052-9

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computational complexity; global optimization; linear and semidefinite programming; approximation algorithms

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We consider the computational complexity of optimizing various classes of continuous functions over a simplex, hypercube or sphere. These relatively simple optimization problems arise naturally from diverse applications. We review known approximation results as well as negative (inapproximability) results from the recent literature.

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