Quantitative Modeling of Growth and Dispersal in Population Models.

Abstract

This document discusses techniques for the estimation of nonlinearities and state-dependent coefficients in parabolic partial differential equations. Applications to density-dependent population dispersal and nonlinear growth/predation models are presented. Computational results using parallel and vector architectures are discussed. Keywords: inverse and parameter estimation problems; insect dispersed; distributed biological systems. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1986
Accession Number
ADA167241

Entities

People

  • H. Thomas Banks
  • K. A. Murphy

Organizations

  • Brown University

Tags

DTIC Thesaurus Topics

  • Air Force
  • Algorithms
  • Applied Mathematics
  • Boltzmann Equation
  • Boundary Value Problems
  • Computers
  • Computing System Architectures
  • Differential Equations
  • Equations
  • Fish
  • Functional Analysis
  • Inverse Problems
  • Mathematical Analysis
  • Mathematics
  • North America
  • Numerical Analysis
  • Partial Differential Equations

Fields of Study

  • Mathematics

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Aquatic Ecology
  • Finite Element Method (FEM) for solving Partial Differential Equations (PDEs)