In engineering perspective, generating the composition plan that fulfills a client's QoS requirement is a time-consuming optimization problem.
In this sense, this parametric Bayesian approach is promising because it turns the time-consuming optimization problem into a simple sampling problem with a fast and stable Gibbs sampling scheme.
This makes the time-consuming optimization tools successfully used in the planning phase completely inadequate, and ad-hoc (heuristic) algorithms have to be designed.
Thus, a necessary approach is to solve the time-consuming optimization problem repeatedly by varying the values of weighting factors until a satisfactory solution is obtained.
Instead of a time-consuming optimization process, we further enhance LSPIHT with a bit rate allocation mechanism based on perceptual factors to distribute the available bandwidth among different channels considering relative visual impacts on the rendered motion quality.
This situation calls for less time-consuming optimization methods.
The ANN also eliminates the complicated and time-consuming optimization process used in Section "Optimal normalized threshold with respect to J".
Complicated, expensive, and time-consuming optimization techniques that aim to improve the system performance, for example, drive test analysis; antenna and/or power optimization should ideally be avoided.
In our hands, and anecdotally in the hands of others, they tend to be highly variable, necessitating time-consuming optimization of conditions.
The proteolytic cleavage reaction is cost-intensive, requires time-consuming optimization and necessitates post-reaction clean-up, which further reduces the attainable yield.
On-resin disulfide formation can be challenging because of the steric hindrance of reactions taking place within the resin matrix with protected peptides, and it frequently requires time-consuming optimization.
