So, Harry once again devoted himself to the journey of time and space. He knew that this would be the most difficult adventure in his life, but also the most meaningful. He is determined to repair the chaos in various time and space and return everything to normal. Harry entered the nex...
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. ...
Building on an analogy with the DK model, we propose here a model for such a ‘long-ranged’ DP, whose protocol is explained in the flowchart of Fig. 2a. Specifically, we consider as a local density ni,t a power–law-weighted average of the previous generation \({\{{s}_{j,t-1}...
After the vertex, tessellation, and geometry shaders perform their operations, the primitive is clipped and set up for rasterization, as explained in the previous chapter. This section of the pipeline is relatively fixed in its processing steps, i.e., not programmable but somewhat configurable. ...
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 first is space division multiplexing (SDM), which simply consists of having multiple fibers in a cable or conduit. In a typical installation, there may be between 8 and 1000 fibers in parallel. The second approach is time division multiplexing (TDM) (see Optical Communication Systems: ...
local explanations [24]. As mentioned, a variety of studies in the time series domain highlight shapelets as the main vehicle for providing interpretability [23,40,42] with at least one study providing an alternative Symbolic Aggregate approximation (SAX) combined with a vector space approach [...
The Monte-Carlo linearization algorithm described in this section corrected the TDC master reset timing delays and differential nonlinearities inherent to the SPAD camera sensor. A link to its source code can be found in Table1. The algorithm principle is explained with the help of a simulated exp...
Jumps in the performance of fCWT are explained in the Methods. Source data Full size image All CWT implementations, including fCWT, use a near-continuous frequency scale containing 3,000 frequencies (range, f0 = 1 Hz to f1 = 32 Hz), evenly spaced in exponential space. fCWT...