1.
Zernike Moments with Minimum Geometric Error and Numerical Integration Error
几何误差和数值误差最小化的Zernike矩
2.
The Mathematical Mean of the Physical Quantity and the Physical Experimental Error;
物理量的数学平均值和物理实验误差
3.
The estimated amount or percentage by which an observed or calculated value may differ from the true value.
偏差，误差测算价值相差于实际价值的大概数量或百分点
4.
Numerical Iteration Method for Modifying Measurement Error of Diameters of Steel Ball or Ring
套圈和钢球直径测量误差修正的数值迭代法
5.
Research on Correction of Numerical Simulation Error Based on WAMS;
基于WAMS的动态数值仿真轨迹误差校正的研究
6.
Study of Gradient Error Estimates of the Triangulation Interpolated Coefficients Finite Element Methods;
三角形插值系数有限元梯度误差的研究
7.
The Average Error of the Interpolation Operator Sequence in Function Probability Space;
插值算子列在函数概率空间下的平均误差
8.
Estimation for a class of m order potence B-spline wavelet interpolation error;
一类m阶基数B-样条小波插值的误差估计
9.
The Count Average Value of Optimal Error Term Which is Connected with Euler Function;
优化的与Euler函数有关的误差项的算术均值
10.
Numerical Methods and Their Error Estimates for Backward Stochastic Differential Equations
倒向随机微分方程的数值方法及其误差估计
11.
Local Error Estimates for Radial Basis Function Interpolation
流形上径向基函数插值的局部误差估计
12.
On the numerical dispersion errors of the boundary element method in free-surface potential flow problems
自由面势流问题边界元法的数值色散误差
13.
A class of midpoint formulas for numerical integration and its error analysis
一类数值积分的中点公式及其误差分析
14.
New method for reducing the numerical error in solving the problem of contaminant transport in groundwater
地下水溶质运移数值模拟中减少误差的新方法
15.
Fast Numerical Method and Error Analysis of Ellipse Integral Equation
椭圆积分方程的快速数值求解与误差分析
16.
Evaluation of Measurement Uncertainty of Indication Error of Potentiometens with Digital Multimeters
用数字多用表检测电位差计示值误差的不确定度评定
17.
An error analysis of numerical calculation by series formula of Bessel function
利用贝塞尔函数的级数形式进行数值计算的误差分析
18.
Numerical examples are given to illustrate that the norm errors of the approximate algorithm is generally small, while the smaller the absolute value is, the greater the component errors will be.
数值算例表明：该近似算法的范数误差一般较小，而绝对量较小的分量误差较大。