$ gocognit Calculate cognitive complexities of Go functions. Usage: gocognit [<flag> ...] <Go file or directory> ... Flags: -over N show functions with complexity > N only and return exit code 1 if the output is non-empty -top N show the top N most complex functions only -avg sh...
18; iii) while for a stationary motion in a homogeneous medium, EA-MSD and TA-MSD have the same exponent, several systems are intrinsically heterogeneous and non-stationary19,20, which can lead to non-ergodicity (i.e., the non-equivalence of time and ensemble averages). Typically, the...
An integrated squared error (ISE) serves as the measure of discrepancy and is subsequently used to calculate the final test statistic under the null hypothesis. The ISE is calculated as: $${T=\int [{f}_{1}\left(x\right)-{f}_{2}\left(x\right)]}^{2}{{{\mathrm{d}}}x}$$ (1...
Concerning post-estimation analysis, the package offers functionality to calculate shortage probabilities, marginal effects on shortage probabilities, point estimates of normalized shortages, point estimates of relative shortages, aggregate demand and supply, ...
The function of a coherent receiver is to coherently demodulate the signal light and local oscillator light, recover the I/Q component of the laser differential phase noise, obtain the phase modulation noise power spectrum in a digital signal processing (DSP) system, and calculate the integral ...
regression with this and get back the calculated coefficients and residuals. One little trick is that before calling this function you have to append a column of 1’s to the x data to calculate the intercept term. Turns out, this is one of the faster methods to try for linear regression ...
By having an integrated fuzzy comparison matrix, it was possible to calculate the local weight of each main-criterion and sub-criterion. First, the row sum is calculated for each factor using Eq. (6). Based on the information in Table 6, the value of the row sum for main-criteria Econom...
While computational complexity is the most direct influence on detection time, considering that the computational complexity of some algorithms is difficult to calculate or controversial under different assumptions, most papers only provide the training and testing time of their algorithms on the specified...
Logistic regression involves the use of a binary dependent variable (or class) with two categories and is primarily used to predict, as well as to calculate, the probability of a given outcome40. Evolutionary algorithms They are a type of metaheuristic algorithm based on population that involves...
velocity matrix as input (Extended Data Figure1a,c). Note that, while we use RNA velocity here to approximate the direction of cellular dynamics, CellRank generalizes to accommodate any vector field that provides a directional measure, such as metabolic labeling4,5,6or real time information17,18...