Quantum computers, besides offering substantial computational speedups, are also expected to preserve the privacy of a computation.
Using a non-linear kernel proved to be infeasible for large data sizes, even with substantial computational resources on a computer cluster.
While such details might increase credibility and validity of the models, this can also result in a substantial computational burden, sometimes, beyond the capabilities of personal computers.
While these conditional random field and Markov random field models are extremely powerful in theory, in practice, substantial computational barriers remain for template construction, training and computing the minimum energy threading of an unknown sequence onto a template.
While we find that the cost and performance characteristics of the cloud-based analysis are accommodating to translational research, it is important to acknowledge that substantial computational skills are still required in order to take full advantage of cloud computing.
For instance, sending huge numbers of legitimate-seeming search requests to a website, each of which uses up substantial computational power, may be more effective and harder to pinpoint than simply flooding it with bogus page requests.
This can lead to substantial computational savings.
This simulation requires substantial computational power.
Such models generally require a substantial computational effort.
We see that ESPRIT affords substantial computational saving with respect to the SAGE estimator.
This operator can effectively reduce a substantial computational overhead encountered in evolutionary algorithms (EAs).
