A Simple Unconstrained Dual Convex Programming Method for the Computation of Discrete Maximum Entropy Distributions.

Abstract

This document formulates the generalized constrained maximum entropy problem often used in a decision making context as an extended dual convex programming problem. The dual problem is then presented. In this dual setting the primal Lagrange multipliers are precisely the dual variables, and are easily calculated directly by virtue of the simple structure of the dual problem. An example involving the selection of best equipment for an oil spill is presented as an illustration. The authors contrast their solution with those given by previous authors. (Author)

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Document Details

Document Type
Technical Report
Publication Date
May 01, 1984
Accession Number
ADA159784

Entities

People

  • K. Paick
  • P. Brockett

Organizations

  • University of Texas at Austin

Tags

Communities of Interest

  • Human Systems

DTIC Thesaurus Topics

  • Algorithms
  • Business Administration
  • Classification
  • Computational Science
  • Computations
  • Computer Programming
  • Contracts
  • Contrast
  • Convex Programming
  • Inequalities
  • Linear Programming
  • Oil Spills
  • Operations Research
  • Optimization
  • Probability
  • Probability Distributions
  • Universities

Fields of Study

  • Mathematics

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Operations Research