Here a topological sorting algorithm is proposed that is completely new and it reduces the time complexity of the previous algorithms. By separating the vertices having outgoing edges and the vertices having no
Kathpalia and Nagaraj recently introduced a causality measure, called Compression-Complexity Causality (CCC), which employs ‘complexity’ estimated using lossless data-compression algorithms for the purpose of causality estimation. It has been shown to have the strength to work well in case of missin...
,Lm} of linear orders over the set V={1,2,3,…,n}. Solution: A pair of distinct posets {P1,P2}, if it exists, where L(P1)∪L(P2)=ϒ and L(P1) is neither a subset nor superset of L(P2). The complexity of 2-Poset Cover Problem is not yet known. A previous study [3...
while others (e.g. permutation entropy) measure complexity in the time series. Similarly, some of these features are time domain metrics while others are metrics in the frequency domain. Furthermore, the datasets do not share their top most features. For example, for the Hofmeister dataset,...
linear time are robust and powerful. In particular DLINEAR includes most of the concrete problems commonly regarded as computable in linear time (such as graph problems: topological sorting, strong connectivity...) and most combinatorial NP-complete problems belong to NLINEAR. The interest of NLINE...
It is likely that no recognition system of any reasonable complexity – that is, no system that solves a non-trivial recognition problem – will work without incorporating learning as a central component. For learning to be effective, enough data must be acquired to allow a system to account ...
The problem of implementing this for CyTOF data- sets is that the memory complexity is OðN2Þ, which is prohibitively expensive and practically impossible even using state-of-the-art ser- vers. Thus, we implemented the Point-Cluster Distance (PCD) for all main benchmarks in this study....
The problem of implementing this for CyTOF data- sets is that the memory complexity is OðN2Þ, which is prohibitively expensive and practically impossible even using state-of-the-art ser- vers. Thus, we implemented the Point-Cluster Distance (PCD) for all main benchmarks in this study....
By combining the pulse pattern generator output with the RF output using frequency mixers, excitation schemes of higher complexity can be achieved. For frequencies above 1.6 GHz, an Analog Devices ADF5355 PLL was used. This device is a fractional-N synthesizer with programmable modulus (required ...
To analyze the time complexity of the high IP mining algorithms based on Benchmark, we divided the whole process into four relatively independent parts, proximity generation, IPs search, size-2 high IP mining, and size-k (k > 2) high IP mining, and formulated an equation for total time ...