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Beyond convex? global optimization is feasible only for convex objective functions: a theorem

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Publication:816060
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DOI10.1007/s10898-004-2120-1zbMath1097.90071OpenAlexW2070747462MaRDI QIDQ816060

Ralph Baker Kearfott, Vladik Ya. Kreinovich

Publication date: 20 February 2006

Published in: Journal of Global Optimization (Search for Journal in Brave)

Full work available at URL: https://digitalcommons.utep.edu/cgi/viewcontent.cgi?article=1406&context=cs_techrep


zbMATH Keywords

Global optimizationComputational complexityNon-convexity


Mathematics Subject Classification ID

Abstract computational complexity for mathematical programming problems (90C60) Nonconvex programming, global optimization (90C26)


Related Items (3)

Using expert knowledge in solving the seismic inverse problem ⋮ A branch and bound algorithm for the global optimization of Hessian Lipschitz continuous functions ⋮ Branching and bounding improvements for global optimization algorithms with Lipschitz continuity properties


Uses Software

  • INTOPT_90





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