parameter estimation;
coupled system of nonlinear size-structured populations;
finite difference approximation;
numerical simulation;
stand deviation;
D O I:
暂无
中图分类号:
Q [生物科学];
学科分类号:
07 ;
0710 ;
09 ;
摘要:
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.
机构:
Tel Aviv Univ, Fac Life Sci, Dept Zool, Biomath Unit, IL-69978 Tel Aviv, IsraelTel Aviv Univ, Fac Life Sci, Dept Zool, Biomath Unit, IL-69978 Tel Aviv, Israel
Artzy-Randrup, Yael
Olinky, Ronen
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h-index: 0
机构:
Tel Aviv Univ, Fac Life Sci, Dept Zool, Biomath Unit, IL-69978 Tel Aviv, IsraelTel Aviv Univ, Fac Life Sci, Dept Zool, Biomath Unit, IL-69978 Tel Aviv, Israel
Olinky, Ronen
Stone, Lewi
论文数: 0引用数: 0
h-index: 0
机构:
Tel Aviv Univ, Fac Life Sci, Dept Zool, Biomath Unit, IL-69978 Tel Aviv, IsraelTel Aviv Univ, Fac Life Sci, Dept Zool, Biomath Unit, IL-69978 Tel Aviv, Israel