In a frequency-domain implementation of the least-mean-square (LMS) algorithm, the limiting constraints can be placed directly in the frequency domain, allowing the adaptive filter response to be reduced in the frequency regions of constraint violation, with minimal effect at other frequencies [2].
When the frequency-domain version of the least-mean-square algorithm is used for the adaptive filter, this limiting can be done directly in the frequency domain, allowing the adaptive filter response to be reduced in frequency regions of constraint violation, with minimal effect at other frequencies.
Regions of constraint on the tertiary structure of a protein often result in loose segmentation of its primary structure into stretches of slowly- and rapidly-evolving amino acids.
Although Green et al. (1996) proposed a rank order for the alternatives, they did not consider the possibility of assigning a weight of 0 for a given rank or the difference between two given ranks to be 0. Noguchi et al. (2002) presented a strong ordering to alternatives in which weights are obtained using the feasible solution region of the constraint set in LP.
The power of ML methods to detect functional regions may thus be substantially reduced in regions of weak constraint.
In sum, while regions of relaxed constraint certainly harbor more variation, this does not mean such variation is neutral.
Therefore, we inferred that the observed difference in the regions of functional constraint may reflect the functional specificities of NBS-LRR RGAs in pepper.
Recommendations about 1 2 mm thick invasive melanoma are less clear; however, many national guidelines indicate that a 1 2 cm margin is sufficient, especially in regions of anatomic constraint associated with anticipated functional or cosmetic deformities (e.g. face, distal part of limbs).
Furthermore, the optimal solution is expected to be located close to the boundary of the feasible region, suggesting the importance of constraint handling.
To reduce the space complexity, Mc Donald [20] hypothesized an implicit constraint region of the vanishing point position during the Hough transform, but he did not provide details on how to design the constraint region and its size in relation to curved roads.
Now we have converted the interval constraint region of problem (1) into its crisp structure.
