Accession Number:

ADA087555

Title:

Methods for Large-Scale Nonlinear Optimization.

Descriptive Note:

Technical rept.,

Corporate Author:

STANFORD UNIV CA SYSTEMS OPTIMIZATION LAB

Report Date:

1980-05-01

Pagination or Media Count:

25.0

Abstract:

The application of optimization to electrical power technology often requires the numerical solution of systems that are very large and possibly non-differentiable. A brief survey of the state of the art of numerical optimization is presented in which those methods that are directly applicable to power system problems will be highlighted. The areas of current research that are most likely to yield direct benefit to practical computation are identified. The paper concludes with a survey of available software. Author

Subject Categories:

  • Theoretical Mathematics

Distribution Statement:

APPROVED FOR PUBLIC RELEASE