Access the full text.
Sign up today, get DeepDyve free for 14 days.
F. Glover (1974)
Polyhedral convexity cuts and negative edge extensionsZeitschrift für Operations Research, 18
F. Glover (1973)
Convexity Cuts and Cut SearchOper. Res., 21
R. Mueller (1970)
A Method for Solving the Indefinite Quadratic Programming ProblemManagement Science, 16
Z. Kmietowicz, F. Hillier, G. Lieberman (1968)
Introduction to Operations Research., 139
E. Balas (1972)
Integer programming and convex analysis: Intersection cuts from outer polarsMathematical Programming, 2
A. Cabot, R. Francis (1970)
Solving Certain Nonconvex Quadratic Minimization Problems by Ranking the Extreme PointsOper. Res., 18
G. Owen (1973)
Cutting planes for programs with disjunctive constraintsJournal of Optimization Theory and Applications, 11
A. Geoffrion (1970)
Elements of Large-Scale Mathematical Programming Part I: ConceptsManagement Science, 16
F. Glover (1973)
Convexity cuts for multiple choice problemsDiscret. Math., 6
R. Young (1971)
Hypercylindrically Deduced Cuts in Zero-One Integer ProgramsOper. Res., 19
E. Balas, C. Burdet (1973)
Maximizing a Convex Quadratic Function Subject to Linear Constraints.
R. Cottle, W. Mylander (1969)
RITTER'S CUTTING PLANE METHOD FOR NONCONVEX QUADRATIC PROGRAMMING
F. Glover, D. Klingman (1973)
Concave Programming Applied to a Special Class of 0-1 Integer ProgramsOper. Res., 21
K. Ritter (1966)
A method for solving maximum-problems with a nonconcave quadratic objective functionZeitschrift für Wahrscheinlichkeitstheorie und Verwandte Gebiete, 4
W. Candler, R. Townsley (1964)
THE MAXIMIZATION OF A QUADRATIC FUNCTION OF VARIABLES SUBJECT TO LINEAR INEQUALITIES*t
C. Burdet (1973)
Polaroids: A new tool in non‐convex and in integer programmingNaval Research Logistics Quarterly, 20
E. Balas (1971)
Intersection Cuts - A New Type of Cutting Planes for Integer ProgrammingOper. Res., 19
F. Glover (1975)
Polyhedral annexation in mixed integer and combinatorial programmingMathematical Programming, 9
In this paper we discuss the properties of a Bilinear Programming problem, and develop a convergent cutting plane algorithm. The cuts involve only a subset of the variables and preserve the special structure of the constraints involving the remaining variables. The cuts are deeper than other similar cuts.
Naval Research Logistics: An International Journal – Wiley
Published: Mar 1, 1977
Read and print from thousands of top scholarly journals.
Already have an account? Log in
Bookmark this article. You can see your Bookmarks on your DeepDyve Library.
To save an article, log in first, or sign up for a DeepDyve account if you don’t already have one.
Copy and paste the desired citation format or use the link below to download a file formatted for EndNote
Access the full text.
Sign up today, get DeepDyve free for 14 days.
All DeepDyve websites use cookies to improve your online experience. They were placed on your computer when you launched this website. You can change your cookie settings through your browser.