Design space, that is, the number of possible system configurations, is practically always so large that it becomes intractable not only for manual design but also for brute force optimization.
The downside of waiting so long and getting big is that regulation becomes so politicized it becomes intractable.
Without any preemption corresponding to a very cautious form of inheritance this problem is tractable, but when allowing even the most basic forms of preemption, it becomes intractable.
When using functional classifiers as an annotation system, one must implement a classifier for each functional class in a one-versus-rest setting because as the number of functions increases it becomes intractable to train one-versus-one classifiers.
As these devices increase in complexity, it becomes intractable to calculate the low-level interactions between the DNA species by hand.
With the independence assumption removed, finding the optimal decision rule becomes intractable for the original decentralized detection problem [1, 6 8].
The results demonstrate that this framework is effective and overcomes the limitations of the multi-objective stochastic minimum cost flow problem (which becomes intractable for large-scale instances).
Moreover, the exhaustive search becomes intractable for large number of pilot symbols and/or active subcarriers even if the search process is carried out during the system design phase.
In addition, the use of molecular fragments, as often practiced in the de novo design of novel structures, can lead to a combinatorially large search space which becomes intractable for exhaustive solution techniques.
However, in the proposed trellises the states number increases with the source symbol sequence length L, and the source alphabet size U. Thus, the decoding complexity becomes intractable for large values of L and U. Recently, some contributions considered JSC decoding methods including a Low-Density Parity-Check Code (LDPC) for channel coding with application to image transmission.
