A finite method for globally minimizing a concave function over an unbounded polyhedral convex set and its applications

1988 ◽  
Vol 52 (1-2) ◽  
pp. 21-36 ◽  
Author(s):  
T. V. Thieu
2015 ◽  
Vol 1 (1) ◽  
pp. 9-15
Author(s):  
Tran Vu Thieu

In this paper, we are concerned with the following two problems often encountered in concave programming: Given the  vertices and extreme detections of a polyhedral convex set Modefined by a system of linear constraints, determine the vertices and  extreme directions of the polyhedral convex set  obtained from M just by adding one new linear equality (or inequality) constraint.Among the constraints of a given polyhedral convex set, find those which are redundant, i.e. which can be removed without affecting the polyhedral convex set.


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