Planning Under Uncertainity: Methods and Applications

Abstract

This grant was for research in methods for optimizing parameters in complex simulation models. The principal method investigated was that of sample-path optimization (SPO) During the period of the grant, progress was achieved in extending SPO to the solution of stochastic variational inequalities, and in supporting areas. Results were documented in two papers prepared for publication and in one completed Ph.D. dissertation.

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Document Details

Document Type
Technical Report
Publication Date
Mar 28, 1998
Accession Number
ADA343351

Entities

People

  • Stephen M. Robinson

Organizations

  • University of Wisconsin–Madison

Tags

Communities of Interest

  • Air Platforms
  • Energy and Power Technologies
  • Human Systems

DTIC Thesaurus Topics

  • Abstracts
  • Algorithms
  • Applied Mathematics
  • Classification
  • Computer Science
  • Convex Sets
  • Engineering
  • Engineers
  • Industrial Engineering
  • Inequalities
  • Linear Programming
  • Mathematical Programming
  • Mathematics
  • Operations Research
  • Optimization
  • Simulations
  • Theses

Readers

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  • Operations Research