Satisfiability problems Computational complexity Clone theory Universal algebra Subexponential time 1. Introduction This article is concerned with the time complexity of SAT(S) problems, i.e., problems where we
Our work departs from this paradigm, foregoing all-vs-all sequence alignments in favor of a dynamic data structure implemented in GoldRush, a de novo long read genome assembly algorithm with linear time complexity. We tested GoldRush on Oxford Nanopore Technologies long sequencing read datasets with...
Anybody writing software that has to work in more than one geographic area must at some point think about how to handle time zones. Many developers have an incomplete picture of how time zones work, and this post is written in an attempt to describe this
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Formally, this property corresponds to obtaining lower time complexity for models without numerical instabilities and errors as illustrated in Table 1 (left). For example, Table 1 (left) shows that the complexity of a pth-order numerical ODE solver is \({{{\mathcal{O}}}(Kp)\), where K ...
Typically, the volume rendering speed is limited by the complexity of the fragment program (that is, it's fill-rate bound). Therefore, sometimes it is better to hand-tweak the fragment assembly code to get the maximum throughput, as shown in Listing 40-3. ...
Using FindRank() and GetByRankRange() together you can show users with a score similar to a given user. All very quickly. Documentation https://godoc.org/github.com/wangjia184/sortedsetAbout An ordered collection implemented in Golang with O(log(N)) time complexity on adding / searching ...
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...
Distinguishing cause from effect is a scientific challenge resisting solutions from mathematics, statistics, information theory and computer science. Compression-Complexity Causality (CCC) is a recently proposed interventional measure of causality, inspi
Previous results analyze fast-forwarding of Hamiltonians mostly in a computational complexity setting27,28,33,34, in which the asymptotic scaling of the runtime of quantum circuits implementing a large-scale simulation is important. However, near-term devices are constrained to simulating intermediate-...