It is notable that with real world automotive stereo imagery the advantage of more complex and computationally expensive dense stereo techniques (requiring GPU computation for real-time performance [4, 5]) is much less significant than in the case of the laboratory test set results [6].
It is, however, computationally heavy.
The transcension hypothesis proposes that a universal process of evolutionary development guides all sufficiently advanced civilizations into what may be called "inner space," a computationally optimal domain of increasingly dense, productive, miniaturized, and efficient scales of space, time, energy, and matter, and eventually, to a black-hole-like destination.
Our methods help to make stochastic population genetic models involving big, dense transition matrices computationally feasible.
The GraSM approach has significantly improved the performance of annotation-based approaches; however, finding the disjunctive common ancestors (DCA) between two GO terms makes the GraSM approach computationally unattractive, especially for a dense DAG, and this computational complexity is not always proportional to the improvement in performance.
However, the dense sampling strategy is computationally expensive and has a large memory footprint.
Due to the nature of chemical structures, this association graph usually is very dense, making clique finding computationally prohibitive.
Note that this requires that both G−1 and are computed beforehand, which is not computationally feasible because these matrices are dense and large when the number n2 of genotyped animals is large.
In addition to the size n of the circuit, it is also relevant which type of devices are dominating the circuit: If the circuit is dominated by parasitic resistors and capacitances and their number is usually considerably larger than n, then the Jacobi matrix becomes more dense and the solver more computationally dominant.
Stereo matching algorithms are computationally intensive for finding reliable matches and extracting dense map.
