How to analyze the results of LP: Part 3: Infeasibility diagnosis

How to analyze the results of LP: Part 3: Infeasibility diagnosis

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Article ID: iaor19941600
Country: United States
Volume: 23
Issue: 6
Start Page Number: 120
End Page Number: 139
Publication Date: Nov 1993
Journal: Interfaces
Authors:
Abstract:

One problem in debugging a linear program is finding a way to diagnose an infeasible instance. The sources of error could be structural, such as inadvertent omission of activities, or data related, such as insufficient supply to meet demand. The paper presents techniques that LP experts have used in practice for a variety of applications. It is important, however, to distinguish a diagnosis from an isolation. An isolation is a portion of the linear program obtained in some purposeful way to contain a probable cause. A diagnosis additionally requires an explanation of an isolation, which can require complex reasoning.

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