With bi-partitioning strategy, by maximizing the module density, an algorithm is proposed based on discrete quantum particle swarm optimization for complex network community detection.
采用二分策略，通过最大化模块密度，提出了基于离散量子粒子群优化进行复杂网络社区检测的算法。
Quantum theory dictates that a very tiny thing can absorb energy only in discrete amounts, can never sit perfectly still, and can literally be in two places at once.
量子理论决定了每个微小物体只能吸收不连续的能量，且不能保持完美的静止，甚至能同时出现在两个地方。
The standard limit on the precision with which a quantum measurement can be carried out is due to the statistical error associated with counting discrete particles rather than continuous quantities.
量子测量中精度的标准极限，源于与可计数离散粒子，而不是连续量相关的统计误差。
应用推荐