1) iteration adjustment
迭代调整
1.
Some methods like linear prediction,iteration adjustment and recovery of missing feature points are summarized from the experiment ,with which the LSM method is improved.
并通过实验总结出线性预测,迭代调整,恢复丢失特征点等方法,并对自适应最小二乘法进行了改进。
2) iterative adjusting threshold
迭代调整阈值
3) total step iteration
整步迭代
4) the integral iteration
整体迭代
1.
Traditional B-snake is on the basis of the integral iteration.
传统B-snake模型以整体迭代为基础,已经逼近到目标的轮廓曲线仍要参加迭代计算,影响轮廓曲线的收敛速度。
5) Iterative minor adjustment
迭代微调
6) monotone iteration
单调迭代
1.
First,we constructed a pair of appropriate upper and lower solutions,and then we proved the existence of the traveling wave solutions between two equilibria of the system by using the monotone iteration approach.
构造了一对合适的上下解,利用单调迭代方法证明了模型的两个平衡点之间行波解的存在性,进一步丰富了单调方法的内容。
2.
This paper is devoted to investigate a kind of lattice Nicholson s blowflies model with delay,and prove the existence of traveling wavefronts by upper-lower solution and monotone iteration technique.
考虑了一类具有时滞的格散N icholson苍蝇模型,并利用上下解和单调迭代技巧证明了此方程波前解的存在性。
3.
It is shown that the system exist monotone traveling wave solutions by using monotone iteration with upper and lower solutions provided wave speed satisfies some conditions.
研究一维离散的神经网络细胞模型,其输出函数是非线性的且其信息反馈具时滞,通过构造方程的上、下解,采用单调迭代准则得到当系统的波速c满足一定条件时存在单调行波解。
补充资料：层层迭迭
1.见"层层迭迭"。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条