Muu, L. D.; Tam, B. T. Minimizing the sum of a convex function and the product of two affine functions over a convex set. (English) Zbl 0817.90113 Optimization 24, No. 1-2, 57-62 (1992). Summary: An efficient branch-and-bound algorithm for minimizing the sum of a convex function and the product of two affine functions over a convex set is proposed. The branching takes place in an interval of \(R\), the bounding is a relaxation. Cited in 5 Documents MSC: 90C30 Nonlinear programming 65K05 Numerical mathematical programming methods 49J52 Nonsmooth analysis Keywords:global optimization; numerical efficiency; branch-and-bound; sum of a convex function and the product of two affine functions PDF BibTeX XML Cite \textit{L. D. Muu} and \textit{B. T. Tam}, Optimization 24, No. 1--2, 57--62 (1992; Zbl 0817.90113) Full Text: DOI OpenURL References: [1] Floudas C.A., A collection of test problems for constrained global optimization algorithms (1990) · Zbl 0718.90054 [2] DOI: 10.1287/opre.15.1.39 · Zbl 0173.21602 [3] Henderson J.M., Microeconomic theory (1971) [4] Konno H., J. of Oper. Res. Soc. of Japan 32 pp 143– (1988) [5] Konno H., Linear multiplicative programming (1989) [6] Maling, K., Mueller, S.H. and Heller, W.R. On finding most optimal rectangular package plane. Proceedings of the 19th design automation conference. pp.663–670. [7] Muu L.D., Oper. Res. Lett [8] Muu L.D., A method for solving convex programs with an additional convex-concave constraint 112 (1989) [9] Pardalos P.M., Quadratic programming with one negative eigenvalue is NP-hard (1990) [10] Thach P.T., Reverse convex programs dealing with the product of two linear functions (1990) [11] Tuy H., An efficient solution method for rank two quasiconcave minimization problem (1990) This reference list is based on information provided by the publisher or from digital mathematics libraries. Its items are heuristically matched to zbMATH identifiers and may contain data conversion errors. It attempts to reflect the references listed in the original paper as accurately as possible without claiming the completeness or perfect precision of the matching.