Accession Number:

AD0855929

Title:

Gradient Methods in Mathematical Programming Part 1. Review of Previous Techniques,

Descriptive Note:

Corporate Author:

RICE UNIV HOUSTON TX AERO-ASTRONAUTICS GROUP

Personal Author(s):

Report Date:

1969-01-01

Pagination or Media Count:

26.0

Abstract:

The report considers the problem of minimizing a function fx, where f is a scalar function and x is an n-vector whose components are unconstrained. For this problem, three previous methods are reviewed, namely, the ordinary gradient method, the conjugate-gradient method, and the variable-metric method. A new intuitive derivation of the last two algorithms is presented. Author

Subject Categories:

  • Operations Research

Distribution Statement:

APPROVED FOR PUBLIC RELEASE