carrying intent). When we think in an OO way, we tend to model the problem domain as these interacting entities. This framework helps us break down complexity and design systems with clear boundaries and responsibilities. The power
Then we give an algorithm that returns provably T-depth-optimal circuits and has time and space complexity O((4n2)(c−1)⌈dc⌉) and O((4n2)⌈dc⌉), respectively, where d is the min-T-depth of input unitary. This is much less than the complexity of the algorithm in ref. ...
Multiple access (MA) is a technique to use a satellite communication system efficiently by sharing satellite resources such asfrequency bandwidth, power, time, and space by a large number of earth stations. Three mainMAtechniques have been used: frequency-divisionmultiple access(FDMA), time-division...
The spectral analysis of signals is currently either dominated by the speed–accuracy trade-off or ignores a signal’s often non-stationary character. Here we introduce an open-source algorithm to calculate the fast continuous wavelet transform (fCWT). T
In this paper, we only consider univariate time series, but the proposed framework and methods can be easily generalized to the multivariate case. For the remainder of this paper, we will refer to univariate time series simply as time series. ...
Fundamental cellular processes such as cell movement, division or food uptake critically depend on cells being able to change shape. Fast acquisition of three-dimensional image time series has now become possible, but we lack efficient tools for analysin
complexity 65. drives 写作 第一节 Dear Jack, How is it going? I learned that you get upset easily and often lose your temper with your parents and classmates as a third-year high school student. I am writing to pr...
Tim, who is a famous guy in the startup and productivity scene, describes how you can focus on the famous 80/20 rule to work less and get more results at the same time. Sure, you won’t probably have 4-hour work weeks, but you can easily cut off a lot of hours by simply tracki...
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A growing number of algorithms have been proposed to map a scalar time series into ordinal partition transition networks. However, most observable phenomena in the empirical sciences are of a multivariate nature. We construct ordinal partition transition