big_O executes a Python function for input of increasing size N, and measures its execution time. From the measurements, big_O fits a set of time complexity classes and returns the best fitting class. This is an empirical way to compute the asymptotic class of a function in"Big-O". nota...
Merge Sort Algorithm is considered as one of the best sorting algorithms having a worst case and best case time complexity of O(N*Log(N)), this is the reason that generally we prefer to merge sort over quicksort as quick sort does have a worst-case time complexity of O(N*N)...
AntroPy is a Python 3 package providing several time-efficient algorithms for computing the complexity of time-series. It can be used for example to extract features from EEG signals. Link to documentation Installation AntroPy can be installed with pip ...
Despite the numerous benefits of nearest neighbor analysis-based algorithms, their inference time complexity presents a significant limitation. This complexity is dependent on three main factors: the number of data points (n), the number of features (d), and the number of neighbors (k). As a ...
In some of these cases, the fundamental rules of behavior are well understood, but it can still be difficult to account for everything that can happen due to the complexity of the equations (meteorology, quantum chemistry, plasma physics). In other cases, not all of the predictive variables ...
Such flexibility is an appealing feature for developers, since it allows executing federated queries within the same programming model, leaving the complexity of orchestrating different data sources to the system. In the context of DBMS, orchestration of federated queries is a widely studied topic, ...
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Also, in order to reduce the search space complexity, the shape estimates are assumed to be linear and kept into a linear subspace. By combining these points into their work, a new, low-error and ultra-real time shape predictor was conceived. In order to align the faces to their correct...
This library provides a decorator that disassembles the function's bytecode, checks if it calculates linear recurrences, and tries to reduce the algorithm's time complexity from O(n) to O(log n) using the fast matrix exponentiation.Detailed description: Russian, English.Inspired by the Alexander...
NeuroKit2: The Python Toolbox for Neurophysiological Signal Processing. This is an adaptation to take RRI or peak times from fetal and maternal heart rate data as input and output 60+ HRV measures including optimal time delay-based complexity measures wi