Körner, F. A tight bound for the Boolean quadratic optimization problem and its use in a branch and bound algorithm. (English) Zbl 0658.90066 Optimization 19, No. 5, 711-721 (1988). Known duality statements are used to find tight bounds for the branch and bound process in solving Boolean quadratic optimization problems. To solve the corresponding continuous and partial problem, a Newton-like procedure is indicated. Superlinear convergence, however, is only obtained in partial cases. Cited in 10 Documents MSC: 90C09 Boolean programming 90C20 Quadratic programming 65K05 Numerical mathematical programming methods 49N15 Duality theory (optimization) Keywords:duality; tight bounds; branch and bound; Boolean quadratic optimization; Superlinear convergence PDF BibTeX XML Cite \textit{F. Körner}, Optimization 19, No. 5, 711--721 (1988; Zbl 0658.90066) Full Text: DOI OpenURL References: [1] DOI: 10.1088/0305-4470/15/2/033 [2] Bazaraa M.S., Nonlinear programming-Theory and algorithms (1979) · Zbl 0476.90035 [3] Bernau, H. Upper bound techniques for quadratic programming. Proc. 9th Int. Math. Prog. Symp. pp.347–356. Budapest · Zbl 0428.90055 [4] Bubkard R.E., Math. Progr pp 53– (1984) [5] DOI: 10.1016/0166-218X(84)90111-2 · Zbl 0524.90061 [6] Hammer P.L., Boolean methods in operations research (1968) · Zbl 0155.28001 [7] DOI: 10.1016/S0167-5060(08)70343-1 · Zbl 0426.90063 [8] DOI: 10.1007/BF01459079 · Zbl 0493.90059 [9] DOI: 10.1016/0377-2217(85)90181-X · Zbl 0553.90070 [10] DOI: 10.1007/BF01581047 · Zbl 0475.90065 [11] DOI: 10.1287/mnsc.26.3.282 · Zbl 0443.90067 [12] DOI: 10.1002/zamm.19740540508 · Zbl 0281.90058 [13] Schwetlick H., Numerische Losung nichtlinearer Gleichungen (1979) [14] Stoer J., Convexity and optimization in finite dimensions I (1970) · Zbl 0203.52203 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.