Some Issues in Nonlinear Programming Algorithms for Problems with Simulation Constraints.

Abstract

Many large-scale optimization problems can be formulated as nonlinear programming problems where the constraints represent systems governed by partial differential equations. This deceptively simple observation allows for a wealth of possibilities in the development of optimization methods applicable to such problems. This is a vast area of research on problems of importance to the nations environment, economy, and defense. The work reported here had as its goal the development and evaluation of a number of different optimization strategies for problems with simulation constraints. Specifically, the work focused on applying direct search methods to and developing interior-point algorithms for problems of this form.

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Document Details

Document Type
Technical Report
Publication Date
Apr 13, 1995
Accession Number
ADA294932

Entities

People

  • John E. Dennis Jr.
  • Richard A. Tapia
  • Virginia J. Torczon

Organizations

  • Rice University

Tags

Communities of Interest

  • Air Platforms
  • Energy and Power Technologies
  • Materials and Manufacturing Processes
  • Space

DTIC Thesaurus Topics

  • Air Force
  • Algorithms
  • Applied Mathematics
  • Computational Science
  • Computer Science
  • Differential Equations
  • Equations
  • Evolutionary Algorithms
  • Linear Programming
  • Mathematical Programming
  • Mathematics
  • Nonlinear Programming
  • Operations Research
  • Optimization
  • Parallel Computing
  • Partial Differential Equations
  • Systems Engineering

Readers

  • Operations Research
  • Systems Analysis and Design