摘要: The best response algorithm is often used in game theory to find Nash equilibria, its worst case complexity is known.This article show the exact complexity of the best response algorithm in random potential games.DOI: 10.1007/978-3-662-53354-3_4 被引量: 18 ...
We first construct a periodic function based on the attacked symmetric cipher and then apply Simon’s algorithm to recover the secret key. The complexity of the attack is polynomial in terms of the key bits and the complexity comparison on specific symmetric ciphers is presented. Finally, we ...
The main concern with the triangle algorithm is its complexity, which is 12(p-1)(p-2) and which can be too high when p is large and/or when fast processing is required, e.g., in a real-time application (possibly in connection with updating algorithms). The amount of computation can...
has better sorting algorithm, includes elitism which preserves an already founded Pareto optimal from deleting, uses explicit diversity preserving mechanism, and its complexity is at most O(MN2), while the NSGA complexity is O(MN3) (where M is the number of objectives and N is the population ...
Morone and Makse (2015) proposed a low complexity collective impact (CI) centrality index based on percolation theory in Nature. The percolation theory in complex networks focuses on how to transmit and influence information through nodes and connections in the network, as well as how to predict ...
Beyond understanding what algorithms are, auditors may also need to understand the characteristics of an algorithm, specifically in terms of intelligence, complexity, and type. These characteristics vary along a sliding scale, influencing the level of inherent risk associated with a given algorithm. Bec...
The goal of our research is to investigate the joint use of visualizations and augmented reality to learn algorithms, both from the point of view of its technical feasibility and its emotional and learning effect on students. For the study, we have selected a task for the algorithmic strategy ...
The whale optimization algorithm has received much attention since its introduction due to its outstanding performance. However, like other algorithms, the whale optimization algorithm still suffers from some classical problems. To address the issues of
The time complexity of the algorithm is linear in the number of elements contained in the range. The operator== used to determine the match between elements must impose an equivalence relation between its operands. Example // alg_adj_fnd.cpp // compile with: /EHsc #include <list> #include...
The authors of [133] adopted the sub-optimal greedy algorithm to reduce computational complexity. 3. Evolutionary Algorithm Evolutionary algorithm is the type of algorithm inspired by nature, such as mutation and natural selection, and emulates the behaviours of nature to solve the problem. Any ...