Inverse Problem Numerical Analysis of Forager Bee Losses in Spatial Environment without Contamination

Abstract

We consider an inverse problem of recovering the mortality rate in the honey bee difference equation model, that tracks a forage honeybee leaving and entering the hive each day. We concentrate our analysis to the model without pesticide contamination in the symmetric spatial environment. Thus, the mathematical problem is formulated as a symmetric inverse problem for reaction coefficient at final time constraint. We use the overspecified information to transform the inverse coefficient problem to the forward problem with non-local terms in the differential operator and the initial condition. First, we apply semidiscretization in space to the new nonsymmetric differential operator. Then, the resulting non-local nonsymmetric system of ordinary differential equations (ODEs) is discretized by three iterative numerical schemes using different time stepping. Results of numerical experiments which compare the efficiency of the numerical schemes are discussed. Results from numerical tests with synthetic and real data are presented and discussed, as well.

Numerical Recovering of Space-Dependent Sources in Hyperbolic Transmission Problems

“…We develop iterative finite difference methods based on concepts from papers [27][28][29][30][31], which address the solution of linear parabolic problems with non-local terms only in the initial condition, and [32], where a non-local term occurs both in the the differential operator and the initial condition, but again in the linear parabolic problem on a single connected domain.…”