In recent times, with the explosion of data and complex computational problems, the greedy approach has been combined with other algorithmic paradigms or used as a heuristic in more sophisticated methods. This allows for utilizing the simplicity of the greedy method while offsetting its limitations....
Vaisnav Roy, Ankit Desai, in Cognitive Big Data Intelligence with a Metaheuristic Approach, 2022 3 Greedy algorithm as the heuristic Greedy search algorithm is an effectual tool, which is generally used for optimization problems. The important steps of all greedy algorithms are as follows: 1. Cho...
The empirical investigations show that the proposed approach outperforms the commonly used and state-of-the-art Structural EM algorithm, both in terms of learning accuracy and efficiency, as well as both when data are missing at random and not at random....
To do so, it needs to test each candidate edge u − v to see whether the endpoints u and v lie in different components; otherwise the edge produces a cycle. And once an edge is chosen, the corresponding components need to be merged. What kind of data structure supports such operations...
The second approach to select a vertex of the host graph is based on a new greedy function, denoted as g2, that evaluates the variation of the objective function when assigning a vertex of the input graph. As it is well documented in the related literature (Cavero et al., 2021b), some...
But then, as I continue forcing this ideology, I start to observe things that are conditions to spotting those tehniques in the first place-- conditions that wouldn't be native to some other approach (say, Segment Tree or Binary Lifting). This is all to say, am I really doing it that...
Our approach is based on a coordinate ascent method which naturally preserves the sparsity of the network structure. We show that SINCO is often comparable to, and, in various cases, outperforms commonly used approaches such as glasso [7] and COVSEL [1], in terms of both structure-...
[6]). Such a structure can maintain multiple interconnected chains and thus theoretically increase processing throughput. The assumption of concerned DAG-oriented solutions is to abandon transaction selection purely based on the highest fees since this approach intuitively increases the probability that ...
For instance, an open-circuit voltage (OCV) technology was proposed in reference [21] to improve the rate of MPPT. Moreover, literature [22] proposed a fractional short-circuit current (SCC) approach. But SCC needs to regular measure the short-circuit current and precise system model. And ...
The task of identifying the orthologs, especially direct descendants of ancestral genes in current species is a fundamental problem in computational biology. A promising approach to solving this problem is to take into account not only local mutations but also global genome rearrangements events. This...