Complexity and algorithms for min cost and max profit scheduling under time-of-use electricity tariffsSchedulingTime-of-use tariffsSingle machineMaximum profitMinimum costFollowing a recent interest in sustainable scheduling under operational costs that vary over time, we study scheduling problems on a ...
Iteration over the long sequencing reads, as opposed to an all-vs-all alignment of reads, allows GoldRush to achieve a linear time complexity in the number of reads. We show that GoldRush produces contiguous and correct genome assemblies with a low memory footprint, and does so without read-...
We have attempted more complicated measures such as MSM [52] and TWED [31]. They are very time-consuming because they have at least quadratic time complexity, and neither of them (using the Python implementations from sktime [30]) could complete the run within the 2-day time frame for an...
In summary, we use a novel GA process to optimize FTS’s hyper-parameters and generate an FTS model with low complexity and high accuracy. Algorithm 2 depicts the whole process of the parsimonious fuzzy time series modelling. The whole process is explained step by step below. Step 1. In ...
In this article, we develop a compact finite difference scheme for a variable-order-time fractional-sub-diffusion equation of a fourth-order derivative term via order reduction. The proposed scheme exhibits fourth-order convergence in space and second-or
Note that the complexity of solving a problem can differ when parametrized with different parameters. As an example, consider the well-known single-scenario1|∑j=1nwjUj≤K|−problem. This problem isNP-complete even whendj=dforj=1,…,n(seeKarp, 1972), but is solvable inO(ndmax)time, ...
3f), a slight improvement on variance, with the advantage of also providing the bifurcation type. We find this result is robust to smoothing method (Gaussian or Lowess), a range of different smoothing parameters, different rolling window sizes for variance and lag-1 autocorrelation, and sample ...
min_frequency=1,max_frequency=20,show=True)multitaper=nk.signal_psd(signal,method="multitapers",max_frequency=20,show=True)lomb=nk.signal_psd(signal,method="lomb",min_frequency=1,max_frequency=20,show=True)burg=nk.signal_psd(signal,method="burg",min_frequency=1,max_frequency=20,order=10,...
The selection criteria of the error tolerance level are also given according to the min-max principle. The algorithm is particularly suitable for tracing time-varying systems and is similar in computational complexity to the standard recursive least squares algorithm. The superior performance of the ...
Finally, it needs to be considered that affect ratings as they are usually employed in ER experiments, on a scale from negative to positive valence, might be too simple to capture the complexity of emotion and emotion regulation. As Walle and Dukes (2023) have recently criticized, categorizing...