Quantitative Modeling of Growth and Dispersal in Population Models.
BROWN UNIV PROVIDENCE RI LEFSCHETZ CENTER FOR DYNAMICAL SYSTEMS
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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 growthpredation models are presented. Computational results using parallel and vector architectures are discussed. Keywords inverse and parameter estimation problems insect dispersed distributed biological systems. Author
- Numerical Mathematics