Improved Time Complexities of Algorithms for the Directional Minimum Energy Broadcast ProblemAbility to find a low-energy broadcast routing quickly is vital to a wireless system's energy efficiency. Directional antennae save power by concentrating the transmission towards the intended destinations. A ...
If you want to see more code examples forO(n log n),O(n^2),O(n!), check out themost common time complexities that every developer should know.
In this blog, we will explore the concept of time complexity in a way that is easy to grasp yet formally accurate. We aim to help you understand how algorithms’ efficiency is measured as they handle varying amounts of data. By the end, you’ll have a clear understanding of why time c...
In this type of algorithms, the time it takes to run grows directly proportional to the square of the size of the input (like linear, but squared). In most scenarios and particularly for large data sets, algorithms with quadratic time complexities take a lot of time to execute and should ...
Existing algorithms for learning Boolean networks (BNs) have time complexities of at least O(N . n(0.7(k+1))), where n is the number of variables, N is the number of samples and k is the number of inputs in Boolean functions. Some recent studies propose more efficient methods with O...
Gu, J., Gu, QP. (1994). Average time complexity of the SAT 1.2 algorithm. In: Du, DZ., Zhang, XS. (eds) Algorithms and Computation. ISAAC 1994. Lecture Notes in Computer Science, vol 834. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-58325-4_176 ...
Driven by the implications of complex networks (CNs) on many applications, studying CNs has become of crucial importance for designing efficient algorithms to control or predict the behavior of such networks. In plenty of real-world applications, CNs are not static but vary in time. For example...
a珍惜身边人,幸福伴我一生 Treasures the personal maidservant, happiness accompanies my life[translate] ahtyjuyk htyjuyk[translate] aAlgorithms can be classified by their time or space complexities 算法可以由他们的时间或空间复杂分类[translate]
This diagram illustrates the dependencies and time complexities that exist between individual measures and their computation for all nodes in a network. It was derived from [27]. n is the number of nodes. Every measure is calculated from its predecessors. For example, the transitivity (right ...
This is conflict with the stationary assumption on which most of the optimization methods are developed. In addition, the time complexities of the learning processes and the accuracies of results are greatly determined by the optimization process for all types of the deep network models [10]. ...