approximate error

approximate error的基本解释

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近似误差

与approximate error相关的网络例句 [注：此内容来源于网络，仅供参考]

It shows that the optimal control given by Yoshisuke Misaka is approximate. Error of the approximation and scope of application of the approximate algorithm are discussed.

本文用极大值原理对文献[1]的带钢轧机厚度的前馈最优控制算式进行了推导，证明了美坂佳助所给出的前馈最优控制是近似的，讨论了这一近似的影响及其适用范围。

With the growing developments of the construction of SS/FH sequence in much wider fields, the well-known complexity measures—the linear complexity, the linear complexity profile and the k-error linear complexity—are widelyused but not sufficient to evaluate the complexities of the sequences available, for instance, the cryptographical sequence and the chaotic sequence families.

针对目前国内外普遍采用的LC、LCP和k-error LC(k-error Linear Complexity)序列复杂度检测理论存在的缺陷，将物理学和信息论中信息熵的概念引入到序列的复杂度检验中，提出了基于近似熵(ApEn：Approximate Entroy)的FH/SS(Frequnecy Hopping/Spread Spectrum)序列复杂度检验理论。

Fist, comprehensive analysis on the current study on data processing is made, and characters of Newton methods about nonlinear surveying and mapping data processing are discussed, and then new solutions to parameters estimate with multi-sources, multi-types, multi-dimension, multi-precision bynonlinear least square are presented such as PSB algorithm, digital continuation and generalized digital continuation algorithm, cone model method, tensor analysis method, GCMA(mixed algorithm of gradient method and conjugate gradient method), combining algorithm based on Newton method and gradient method and confidence region and so on, and a new fast difference iterative algorithm is proposed towards parameters estimation containing random parameters in nonlinear models, and a new solutions to nonlinear least squares surveying and mapping adjustment by parameters estimation both considering the random and nonrandom parameters is presented after studying on nonlinear data processing in deformation monitoring, and at last primary analysis on error propagation of spatial data is made and approximate error propagation formula and error analysis formula to length and area are proposed.

首先比较全面分析了目前测量数据处理理论的研究现状，讨论了牛顿类方法在处理非线性模型参数估计方面的特点，研究并给出了求解多源、多类型、多维、多精度、非线性最小二乘测量平差参数估计的若干种新方法，这包括PSB算法、数值延拓及其广义数值延拓算法、锥模型法、张量分析法、基于最速下降法和牛顿法的组合算法、基于最速下降

与approximate error相关的网络解释 [注：此内容来源于网络，仅供参考]

approximate continuity：近似连续性

approximate construction 近似作图 | approximate continuity 近似连续性 | approximate error 近似误差

approximate derivative：近似导数;近似微商

近似收敛 approximate convergence | 近似导数;近似微商 approximate derivative | 近似误差 approximate error