1.
Research for relationship between general Julia set and iteration parameters
广义Julia分形图对迭代参数依赖性的研究
2.
A class of iterated function systems of fractal interpolation surfaces with multiparameters
一类多参数分形插值曲面迭代函数系
3.
Ink transfer equation parameters are assigned by differential iteration scheme.
本文利用微分迭代法，对油墨转移方程参数赋值。
4.
Solution to Two Parameter Iterative Algorithm of the Linear Matrix Equation;
矩阵方程AXB+CXD=F的两种参数迭代解法的讨论
5.
An Accelerated Parallel Iteration Method with Parameters for Solving All Roots of a Polynomial Equation
一种求多项式方程根的参数并行加速迭代法
6.
Non-Iteration Methods of Turbulent Flux Parameterization
湍流通量参数化方案的非迭代方法研究
7.
Iterative Learning Control For a Class of Nonlinearly Parameterized System
一类非线性参数化系统的迭代学习控制
8.
AN ITERATIVE PARAMETER IDETIFICATION METHOD FOR NONLINEAR VIBRATION SYSTEMS BASED ON DISCRETE VARIATIONAL PRINCIPLE
非线性振动系统参数识别的迭代离散变分方法
9.
Adaptive Iterative Learning Control for Nonlinearly Parameterized System
非线性参数化系统自适应迭代学习控制
10.
Iterative learning-control for distributed parameter systems based on vector-plot analysis
基于向量图分析的分布参数系统迭代学习控制
11.
Multiple Parameter Iteration-correction Method for Solving the Generalized Mixed-type Lyapunov Matrix Equation
广义混合型Lyapunov矩阵方程多参数迭代校正方法
12.
The Starting Point Problem of Parameters Estimation for LFM Signal Based on Newton's Method
LFM信号参数估计的牛顿迭代方法初始值研究
13.
Iteration and Iterative Roots for Polygonal Functions and Multifunctions;
折线函数和集值函数的迭代与迭代根
14.
The Iterated Function System of a Class of Multi-parameter Recursion Fractal Interpolation Surface and Its Box-dimension
一类多参数递归分形插值曲面迭代函数系及其盒维数
15.
Study on Three Parameters Load Transfer Function and Iterative Arithmetic of Large Diameter Single Pile Bearing Capacity and Settlement Analysis;
大直径桩承载性状分析的三参数荷载传递函数和迭代算法
16.
Wherefore writer carries out another iterative computation.
在迭代优化计算中考虑全部啮合参数对齿轮传动的影响。
17.
Selecting Regularization Parameter in Time Marching Method Based on the Synchronous Iteration of Noise and Image
基于噪声与图像同步迭代来确定时间步进法的规整化参数
18.
By the ACRP,regularized parameter can automatic correct to appropriate value whatever the initial condition is.
通过这种正则化参数自适应选择,无论迭代初值如何选择,正则化参数都可以自动修正到最优值。