Studies on the convergence of stochastic algorithm for the constant step size 型随机算法收敛性分析
A riemannian geometry underlying stochastic algorithm for adaptive principal component analysis 主成分分析的一个黎曼几何随机算法
A riemannian geometry underlying stochastic algorithm for log-optimal portfolio problem with risk control 最优投资组合问题的一个黎曼几何随机算法
In the front part of this paper we discussed the chemical reaction quantitive calculation's determinate algorithm and stochastic algorithm 本文的前面详细的讨论了虚拟细胞中化学反应定量计算的确定型算法和随机型算法。
By presenting the mathemetical base and computational flow, two kind stochastic algorithms : genetic algorithm and simulated annealing algorithm are discussed 首先,从高性能优化算法着手,研究遗传算法和模拟退火这两种优化算法的数学基础和计算流程。
Because the stochastic algorithm depends much on the random number generator, we also introduce how to implement all kinds of generator in detail . the non-essa has their application range 由于随机型算法对随机数产生器有较大的依赖,在论述随机型算法时介绍了随机型算法中用到各种随机数产生器的实现方法。
However, the weakness of the stochastic algorithm is the slow convergence speed . therefore, how to improve the convergence speed of the stochastic algorithm is the main task in the research of electromagnetic inverse problems 但是随机类优化算法的弱点是收敛速度太慢,故如何改进这类算法以提高其收敛速度,是当前电磁场逆问题优化算法研究的热点。
However, the weakness of the stochastic algorithm is the slow convergence speed . therefore, how to improve the convergence speed of the stochastic algorithm is the main task in the research of electromagnetic inverse problems 但是随机类优化算法的弱点是收敛速度太慢,故如何改进这类算法以提高其收敛速度,是当前电磁场逆问题优化算法研究的热点。
The flow scheme of the complex separation could be expressed directly by using gp's special hierarchical structure and the problem of different meanings encountered by other stochastic algorithms for expressing distillation system could be solved 算法利用层次化结构来直观地表达复杂分离流程,同时解决了其他随机算法编码在表达精馏过程时的歧意性问题。
In this paper we give the floor limit of and dispose it when gets below the floor limit . because determinate algorithm has high speed low precision and stochastic algorithm has high precision low speed, we should intergrate them in a complicated system 本文提出了对非精确算法的改进,给出了非精确随机算法值的下限公式,并对其越下限情况作出了处理。