Having defined the notion of limit in this context, it is straightforward to define continuity of a function.
Although it is straightforward to define similarity measures on two nets that contain the same number of units, it is harder to see how this can be done when the basic architectures of two nets differ.
With calibrated class probability estimates, it is straightforward to define the applicability domain by setting a threshold for the class membership probability below which the prediction of an object is rejected.
Now, it is straightforward to define a path-conservative scheme in the sense defined in [9] based on the previous decomposition: W_{i}^{n+1}=W_{i}^{n}- frac{Delta t}{vert V_{i} vert}sum_{j inmathcal{N}_{i}} vert E_{ij} vertwidehat{mathcal{A}}_{ij}^ cdot bigl(W_{j}^{n}-W_{i}^{n} bigr), (12) where (widehat{mathcal{A}}_{ij}^= widehat{mathcal{A}}^_{Phi}(W_{i},W_{j}, boldsymbol {eta }_{ij})).
Desirable level, where this is straightforward to define (e.g., no presence of organic pollutants that naturally do not occur in the marine environment or indicator levels that correspond to normal reproduction of marine organisms).
It is not straightforward to define what is a community and to formulate community search problem precisely.
The design involves many tradeoffs; therefore, it is not straightforward to define, which architecture is best suited for a WUR.
While it is pretty straightforward to define the requirements for an ideal AD, it is less clear how these requirements can be achieved.
For the Local IRAS-GALEX sample, it is quite straightforward to define Ltir since the IRAS galaxies are selected at 60 μ m.
However, for lack of an endogenous agent, it is not straightforward to define a standard anti-androgen, although in principle this problem can be overcome by agreeing on an arbitrary choice of a particular chemical.
