Accession Number:

ADA026374

Title:

Computational Experience with Optimal Value Function and Lagrange Multiplier Sensitivity in NLP

Descriptive Note:

Corporate Author:

GEORGE WASHINGTON UNIV WASHINGTON DC PROGRAM IN LOGISTICS

Personal Author(s):

Report Date:

1976-05-10

Pagination or Media Count:

62.0

Abstract:

Sensitivity analysis in nonlinear programming is examined using the Sequential Unconstrained Minimization Technique. Particular emphasis is placed on the partial derivatives of the Lagrange multipliers and the optimal value function taken with respect to specified problem parameters, the estimation of which is based on recent developments by Armacost and Fiacco. The computational experience complements that previously reported by Armacost and Fiacco. An application of the sensitivity analysis to a large-scale, multi-item inventory model developed for the U.S. Navy is presented.

Subject Categories:

  • Statistics and Probability
  • Logistics, Military Facilities and Supplies

Distribution Statement:

APPROVED FOR PUBLIC RELEASE