D-optimal saturated design under a two variable exponential model

Many experimental situations in agricultural and industrial studies require designs under nonlinear setup. Available literature mostly explores experimental designs for nonlinear models with one variable only. With the increase in number of parameters and variables in the model, design constructions becomes more difficult becasue of complex structure of information matrix and incresased computational costs. In this paper D-optimal saturated design under a two variable exponential model has been obtained using Federov exchange algorithm.