SDU: A Semidefinite Programming-Based Underestimation Method for Stochastic Global Optimization in Protein Docking

DOI10.1109/TAC.2007.894518zbMath1366.90233OpenAlexW2149517992WikidataQ37347238 ScholiaQ37347238MaRDI QIDQ5282086

Yang Shen, Sandor Vajda, Pirooz Vakili, Ioannis Ch. Paschalidis

Publication date: 27 July 2017

Published in: IEEE Transactions on Automatic Control (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1109/tac.2007.894518

Mathematics Subject Classification ID

Semidefinite programming (90C22) Applications of mathematical programming (90C90) Nonconvex programming, global optimization (90C26) Stochastic programming (90C15) Biochemistry, molecular biology (92C40) Computational methods for problems pertaining to biology (92-08)

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Global optimality conditions for cubic minimization problems with cubic constraints ⋮ Global optimization in protein docking using clustering, underestimation and semidefinite programming

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