2011
DOI: 10.4314/ijest.v2i6.63731
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Multi-objective convex programming problem arising in multivariate sampling

Abstract: In this paper, we formulate the multivariate allocation problem as a multi-objective convex programming problem. The objective functions are convex and there is a single linear constraint with some upper and lower bounds. We also consider a two dimensional multivariate problem when the cost is minimized. A numerical example is given to illustrate the solution procedure.

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Cited by 2 publications
(1 citation statement)
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“…The degree of damage is visibly higher for the composite materials at [1], polymer [12], zinc composite [13], steel [14], TRIP steel matrix [15]; honeycombs based on aluminium [16], stainless steel [5,17]; Wire-woven Bulk Kagome (WBK) truss structures [18] and steel tubes [19].…”
Section: Failure Characteristics In the Honeycombsmentioning
confidence: 99%
“…The degree of damage is visibly higher for the composite materials at [1], polymer [12], zinc composite [13], steel [14], TRIP steel matrix [15]; honeycombs based on aluminium [16], stainless steel [5,17]; Wire-woven Bulk Kagome (WBK) truss structures [18] and steel tubes [19].…”
Section: Failure Characteristics In the Honeycombsmentioning
confidence: 99%