D-optimal designs

D-optimal designs are constructed to minimize the generalized variance of the estimated regression coefficients. In the multiple regression setting, the matrix X is often used to represent the data matrix of independent variables. D-optimal designs minimize the overall variance of the estimated regression coefficients by maximizing the determinant of X’X. Designs that are D-optimal have been shown to be nearly optimal for several other criteria that have been proposed as well.