与传统的逐次逼近解法(SAM)相比,该方法收敛性强,应用范围广,可适用于高电导率对比地层。
The method converges faster than conventional successive approximation method (SAM) and can be applied to high conductivity contrast formation.
即从测井数据出发,在地震资料的控制下,通过逐次迭代,精确地反演岩性及厚层参数,有效地解决了反演的多解性问题。
Guided by seismic data, we use logging data to invert lithological parameters and bed thickness exactly by successive iteration, hence solving the problem of multi solution in inversion.
该方法具有逐次优化算法的隐性并行性和收敛性,禁忌搜索的智能性和变尺度混沌优化方法的快速性。
The algorithm has not only the implicit parallelism, global convergence of POA and the intelligence of tabu search, but also the fast convergence of MSCOA.
利用逐次逼近方法和一系列经典的估计,证明了弱解的局部存在性和惟一性。
Firstly, by use of the successive approximation method and a series of classical estimates, the local existence and uniqueness of weak solution are proved.
本文通过构造迭代函数,利用逐次逼近的方法给出了一类方程根的存在性与唯一性的判断的一种解决方案。
By means of constructional iterative equation, this paper presents a way to give out the existence and singularity of a type of equational root with gradual approach method.
文章创建的路网交通量分配的整体优化模型能够克服逐次配流性方法难以逾越的困难。
An optimization model of traffic assignment is set to solve problems that cannot be solved by "step by step"methods.
处在挤压变形带、剪切变形带到引张变形带(及地域)中岩石所承受的构造附加静水压力有逐次变小的规律性。
There is a gradual decrease in tectonic superimposed hydrostatic pressure from compressional deformation zone through shear deformation zone to extensional deformation zone.
在逐次截尾样本下,研究电子元件混联系统可靠性指标的估计问题。
Based on progressively censored sample, the problems of estimating the reliability performance for compound system with electronic components are studied by using Bayes and MLE approaches.
后两小时内的扩散性抑制波局限于顶叶皮层中央区域,且传播面积逐次减少;
During the later 2 hours, the waves were restricted in the central parietal cortex, and the propagated area decreased reversely with the increasing times of SD waves.
后两小时内的扩散性抑制波局限于顶叶皮层中央区域,且传播面积逐次减少;
During the later 2 hours, the waves were restricted in the central parietal cortex, and the propagated area decreased reversely with the increasing times of SD waves.
应用推荐