In addition, such a characterization suggests an efficient algorithm to compute the distance matrix estimator, as an alternative to the usual second-order cone programming which is known not to scale well for large problems. Numerical experiments and an application in visualizing the diversity of Vpu...
A possible reason why they are integrated with a Euclidean algorithm is that, compared with other metrics such as the city-block distance (see below), D2 is disproportionately influenced by the largest discrepancies. As a result, the algorithm tends to discard potential partners who are severely...
In addition, such a characterization suggests an efficient algorithm to compute the distance matrix estimator, as an alternative to the usual second order cone programming known not to scale well for large problems. Numerical experiments and an application in visualizing the diversity of Vpu protein ...
The main purpose of this paper is to present an algorithm that can determine the exemplars of these points accurately and efficiently. This method utilizes two reasonable assumptions: First the cluster centers must have the highest local density 726 Words 3 Pages Decent Essays Preview Multidimensional...
A lc-reduction corresponds to a first step in the Euclidean algorithm when calculating gcd(lc(f),lc(g)) which will be done in the algorithm when considering gpoly(f,g). Still, it has a strong impact on the performance of the algorithm in practice: cutting the lead coefficient down ...
Therefore, computational complexity of the algorithm is O(#Xs). 4 The Scale Filtered Medial Axis The crucial part of the method presented in the previous section, which is a source of problems (MA(Xs) MA(X)), is the reconstruction part after medial balls scaling and the need for ...
This optimisation was implemented using the following algorithm: Importantly, it is not expected that the discretisation of the surface factor parameter causes any problems here. It is reasonable to assume in this instance that there are no local minima that would confound the optimization because of...
Despite the fact that, as is apparent from Lemma 1, the typical values of ZJ are potentially at least exponential in N, we can construct the m-th of the ZJ solutions (in the order above) by a polynomial-time algorithm (which takes on average time ∼NlogN and space ∼N if the...
This means that the right-hand side of the error bound obtained by Tseng [57] depends on the resulting estimator. However, the error bound proved in Theorem 1 only depends on the initial input data of problems. 5 Model parameter estimation and the algorithm In general, the choice of model...
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