随机网络演算，网络性能分析工具 网络基本性能分析、流量控制、节点的调度、缓存、延迟的定量估计 确定性网络演算理论：P{服务质量不比预定目标差}=1 随机性网络演算理论：P{服务质量比预定目标差}≤ε

基于模拟退火算法解决TSP问题的MATLAB实现,代码运行无误,阅读简单，已测试

ER随机网络 当p不太小时， 聚集系数较小， 平均最短路径较短。

小世界网络、ER随机网络生成算法，通过matlab软件实现

用matlab实现随机网络的生成。可以用matlab直接运行M文件

基于鲁棒H∞滤波技术的非线性控制系统随机网络攻击估计

随机网络演算，liu Yong和Jiang Yuming写的。随机网络演算定义了统计边界，允许实际情况以一定的概率超过统计边界，从而得到了系统的随机服务质量保证，避免了确定性网络演算过于保守带来的资源浪费问题。

包括各种queue stability的定义，不同的随机排队网络模型，最小drift网络控制算法设计原理以及Lyapunov drift系统分析。

This text is written to teach the theory of Lyapunov drift and Lyapunov optimization for stochastic network optimization. It assumes only that the reader is familiar with basic probability concepts (such as expectations and the law of large numbers). Familiarity with Markov chains and with standard (non-stochastic) optimization is useful but not required. A variety of examples and simulation results are given to illustrate the main concepts. Diverse problem set questions (several with example solutions) are also given. These questions and examples were developed over several years for use in the stochastic network optimization course taught by the author. They include topics of wireless opportunistic scheduling, multi-hop routing, network coding for maximum throughput, distortion-aware data compression, energy-constrained and delay-constrained queueing, dynamic decision making for maximum profit, and more.