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1)  CS convergence Sublayer
收敛子层
2)  CS and SAR
收敛子层分段和重组层
3)  convergence with respect to a testing sequence
层次收敛
1.
Backward_convergence with respect to a testing sequence is introduced and its properties and sufficient and necessary condition are presented.
在LF-拟序集中引进了反向层次收敛理论。
4)  Constriction factor
收敛因子
1.
The performance of current solutions for nonlinear equations,such as N-R and N+I strongly depends on precision and initial values of model,which causes unstableness of convergence,In order to improve stableness of convergence, Particle Swarm Optimization (PSO) and Constriction Factor PSO (CFPSO) algorithm are applied,as well as N+1 for comparison.
针对这一问题本文分别采用基本粒子群算法(PSO)和带收敛因子的粒子群算法(CFPSO)求解,并与 N+1残量法作了比较。
5)  convergence factor
收敛因子
1.
According to characters of iterative method,a dynamic convergence factor in terms of initial convergence factor and damping convergence factor is introduced to improve the oscillation convergence effect of iterati.
计算中根据迭代方法的特点,为改进迭代算法振荡性收敛效果,引入动态收敛因子(即初始收敛因子和阻尼收敛因子),讨论了收敛因子对收敛过程的影响,通过合理联合选取初始收敛因子和阻尼收敛因子,使迭代的收敛速度更快。
2.
The convergence factors for the Schwarz Alternating Procedure (SAP) on the union of two disks are discussed.
讨论了圆域并集上施瓦茨交替法的收敛速度 ,计算得到了收敛因子的具体表达式 。
3.
The simulation result derives the suitable convergence factor and verifies the improvement of the proposed algorithm in terms of power control precision and convergence speed.
最后通过仿真对比得到算法收敛因子的合理取值,验证了可变步长功率控制算法可有效提高功率控制精度和收敛速度。
6)  Convergence of filter
滤子收敛
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