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Cited by 553

The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.

Jointly Constrained Biconvex Programming

Al-Khayyal, Faiz A., Falk, James E.·1983·Mathematics of Operations Research

Abstract

This paper presents a branch-and-bound algorithm for minimizing the sum of a convex function in x, a convex function in y and a bilinear term in x and y over a closed set. Such an objective function is called biconvex with biconcave functions similarly defined. The feasible region of this model permits joint constraints in x and y to be expressed. The bilinear programming problem becomes a special case of the problem addressed in this paper. We prove that the minimum of a biconcave function over a nonempty compact set occurs at a boundary point of the set and not necessarily an extreme point. The algorithm is proven to converge to a global solution of the nonconvex program. We discuss extensions of the general model and computational experience in solving jointly constrained bilinear programs, for which the algorithm has been implemented.

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Metadata

Authors
Al-Khayyal, F. A., & Falk, J. E.
Venue
Mathematics of Operations Research
Published
1983-05
Volume
8
Issue
2
Pages
273-286
ISSN
  • 0364-765X (ISSN-L)
  • 1526-5471
OpenAlex
W2048881327
Cited by
553
References
6
FWCI
2.50
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Jointly Constrained Biconvex Programming. https://app.cochat.ai/papers/10.1287/moor.8.2.273
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Al-Khayyal, F. A., & Falk, J. E. (1983). Jointly Constrained Biconvex Programming. Mathematics of Operations Research. https://doi.org/10.1287/moor.8.2.273

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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