here is my submission in which it took O(n) when i used in above formathere [cut] I dont understand why it was happening like this because both iterators here are same type. Can someone specify places where all places lower_bound function is of O(logn) complexity ...
Iteration over the long sequencing reads, as opposed to an all-vs-all alignment of reads, allows GoldRush to achieve a linear time complexity in the number of reads. We show that GoldRush produces contiguous and correct genome assemblies with a low memory footprint, and does so without read-...
During the next few years, the GPU evolved from configurable implementations of a complex fixed-function pipeline to highly programmable blank slates where developers could implement their own algorithms. Programmable shaders of various kinds are the primary means by which the GPU is controlled. ...
Complexity vs. control The runtime API eases device code management by providing implicit initialization, context management, and module management. This leads to simpler code, but it also lacks the level of control that the driver API has. In comparison, the driver API offers more fine-grained...
C.tree D.graph 概念题 To build a heap from N records, the best time complexity is: A.O(logN) B.O(N) C.O(NlogN) D.O(N^2) Heapify 从最后一个非叶子节点一直到根结点进行堆化的调整。如果当前节点小于某个自己的孩子节点(大根堆中),那么当前节点和这个孩子交换。Heapify是一种类似下沉的操作...
proximity to DNA, but is not useful for studying proteins that bind DNA indirectly, for example proteins present in regulatory multi-complexes; iii) formation of the crosslinked polymers is slow, occurring within minutes (≈10–20 min) and thus preventing the identification of short-lived ...
The corresponding formulas can be found in [27]. Every measure needs its predecessor measures to be computed before itself can be retrieved. Thus, it inherits the computational complexity of its predecessors. Therefore it is the most important task to optimize the fundamental computations like the ...
The optimal number of clusters is derived from the minimizing point of the computation complexity function. Simulation results show that the computational time and complexity of CGTrust are controllable and can be used effectively in time critical network operations that require trust analysis....
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 ...
Technological advances in embedded systems and the advent of fog computing led to improved quality of service of applications of cyber-physical systems. In