Second order, pointwise fifth order, and uniform fifth order methods are applied to compute three sample flows, each of which presents a different computational difficulty: an initially bar-belled drop that pinches in finite time, a drop in a strain flow that approaches a steady state, and a continuously extending drop.
The technique can be applied to other neuron models, and not necessarily for planar systems; n-dimensional systems would only require an additional computational difficulty in computing the associated ( n − 1 ) ARFs.
At the same time, it brings an additional computational difficulty.
Linearization of a nonlinear failure criterion may be required if a software incorporating the nonlinear failure criterion is not readily available or if an additional computational difficulty is encountered due to the nonlinearity of the failure criterion.
The scenario reduction technique eliminates scenarios with low probability and aggregates similar scenarios [32, 38] to get a tradeoff between computational difficulty and approximation accuracy.
The BioQuali tool uses a dedicated constraints solver based on a decision diagram to overcome the computational difficulty and solve systems of biological constraints in a reasonable time.
AGT receives the computational difficulty as a coupling requirement which makes it unique.
Especially, the number of discrete variables is a major influencing factor on computational difficulty.
The NP-complete problems are a sort of inner sanctum of computational difficulty; solve one and you've solved them all, not to mention all the lesser NP problems lurking in the rear.
For the second issue, the current geometric methods unavoidably lead to a problem of the eigen-decomposition for a huge PPI matrix, which gives rise to computational difficulty in the real applications.
In order to avoid computational difficulty, we set an upper bound b=1/4 whenever gradient becomes zero, i.e., whenever the neighboring disparities are the same.
