Computation and Theory in Nonlinear Optimization.

Abstract

The principal objectives of this research project were (1) developing path-following methods for normal-map equations, (2) exploring diffusion methods for global optimization and related stochastic methods, and (3) exploiting convex duality for applications in optimization such as decomposing optimization problems, as well as (4) use of the research results to improve problem-solving ability in applications areas. Progress was achieved in all of these areas, and was documented in nine papers prepared for publication in journals or in edited volumes, as well as one Ph.D. dissertation

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Document Details

Document Type
Technical Report
Publication Date
Jun 12, 1995
Accession Number
ADA295496

Entities

People

  • Stephen M. Robinson

Organizations

  • University of Wisconsin–Madison

Tags

Communities of Interest

  • Human Systems

DTIC Thesaurus Topics

  • Abstracts
  • Air Force
  • Computations
  • Computer Science
  • Computer Simulations
  • Convex Sets
  • Diffusion
  • Engineering
  • Equations
  • Industrial Engineering
  • Inequalities
  • Mathematical Analysis
  • Mathematics
  • Operations Research
  • Optimization
  • Simulations
  • Theses

Readers

  • Operations Research
  • Technical Research and Report Writing.