Similarly, we can have quadratic and other complex space complexity as well, as the complexity of an algorithm increases. But we should always focus on writing algorithm code in such a way that we keep the space complexityminimum. ← Prev ...
Performance of cryptanalytic quantum search algorithms is mainly inferred fromquerycomplexity which hides overhead induced by an implementation. To shed light on quantitative complexity analysis removing hidden factors, we provide a framework for estimating time–space complexity, with carefully accounting ...
According to this theorem, a deterministic machine can simulate non-deterministic machines by using a small amount of space.For time complexity, such a simulation seems to require an exponential increase in time. For space complexity, this theorem shows that any non-deterministic Turing machine that...
CPT+: Decreasing the time/space complexity of the Compact Prediction Tree Ted Gueniche1, Philippe Fournier-Viger1, Rajeev Raman2, and Vincent S. Tseng3 1 Dept. of computer science, University of Moncton, Canada 2 Department of Computer Science, University of Leicester, United Kingdom 3 Dept....
We show that isomorphism testing of k-trees is in the class StUSPACE(logn) (strongly unambiguous logspace). This bound follows from a deterministic logspace algorithm that accesses a strongly unambiguous logspace oracle for canonizing k-trees. Further we
This means that after sufficient time, subject to the complexity of the problem, the solutions are good enough for use, which may not be strictly optimal though. This is a great boon as the exact methods would not even have managed to return a single solution. The sampling-based motion ...
In the LP-based distance metrics learning in Section 4.2, the computational complexity of searching the neighboring points with same and different labels using LSH is O(nd), where d is the number of the hash bins in LSH. The computational complexity of the linear programming in Eq. (9) ...
The process and habits of developing AI applications are consistent with traditional CPU applications. This gets rid of the additional complexity of hardware and software debugging brought about by heterogeneous hardware which can greatly shorten the development cycle of AI applications....
Optimization or combination approaches of APF with optimization algorithms can find a shorter path, but the convergence time of the local minimum is high. With the increasing complexity of the UAVswork environment, the requirements of path planning algorithms become more and more and the traditional ...
Furthermore, considering the complexity of SIN, the security assurance also depends on cross-layer strategies or network functions. Zhou et al. [27] analyzed the relation between threats and services in SIN. They compared the difference in secure routing protocols and anomaly detection methods betwee...