Parameter Estimation in a Coupled System of Nonlinear Size-Structured Populations

Abstract

A least-squares technique is developed for identifying unknown parameters in a coupled system of nonlinear size-structured populations. Convergence results for the parameter estimation technique are established. Ample numerical simulations and statistical evidence are provided to demonstrate the feasibility of this approach.

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Document Details

Document Type
Technical Report
Publication Date
Nov 22, 2004
Accession Number
ADA444277

Entities

People

  • Azmy S. Ackleh
  • H. Thomas Banks
  • Keng Deng
  • Shuhua Hu

Organizations

  • University of Louisiana at Lafayette

Tags

Communities of Interest

  • C4I

DTIC Thesaurus Topics

  • Abstracts
  • Biological Sciences
  • Boundary Value Problems
  • Computations
  • Data Science
  • Differential Equations
  • Equations
  • Estimators
  • Information Science
  • Inverse Problems
  • North Carolina
  • Partial Differential Equations
  • Probability
  • Probability Distributions
  • Sampling
  • Statistical Algorithms
  • Theorems

Fields of Study

  • Mathematics

Readers

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