“…Our idea is to proceed from a given set of time values, which could be large and dense, and to formulate an experimental design optimization problem as done earlier by introducing additional weights w k , k ) 1, ..., l. Thus, we replace the kth model function h(p,q,t k ) by w k h(p,q,t k ) with an additional factor w k (for k ) 1, ..., l), which is treated as an optimization variable of the optimum design problem: 20 The covariance matrix C(w,p,q) :) I(w,p,q) -1 is now dependent on additional weights, I(w,p,q) :) F(w,p,q)F(w,p,q) T , F(w,p,q) :) ∇ p f(w,p,q), and, finally, Note that, for stability reasons, a small lower bound τ > 0 is introduced. We must prevent the possibility that weights become zero at an intermediate iterate leading to an indefinite information matrix.…”