Accession Number:

AD0683723

Title:

PRIMAL RESOURCE-DIRECTIVE APPROACHES FOR OPTIMIZING NONLINEAR DECOMPOSABLE SYSTEMS,

Descriptive Note:

Corporate Author:

RAND CORP SANTA MONICA CALIF

Personal Author(s):

Report Date:

1968-12-01

Pagination or Media Count:

66.0

Abstract:

The optimization of large systems comprised of interrelated subsystems is considered. Three different methods are presented for decentralizing the optimization by partitioning into subsystems and iteratively allocating resources to the subsystems, followed by a coordination procedure. They are the Tangential Approximation method, the Large-Step Subgradient approach, and the Piecewise approach. All can be used with price-directive procedures, but resource-directive optimization has the advantages of primality. Author

Subject Categories:

  • Operations Research

Distribution Statement:

APPROVED FOR PUBLIC RELEASE