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iterative method相关的网络例句

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

It is an important method to improve restoration quality by choosing regular parameter according to local feature of images. For example, the variance of pixel brightness in iterative process is a useful feature.

根据图像的局部特征来选取自适应变化的正则化参数是提高图像恢复质量的一个重要方法,可以根据像素在迭代过程中的亮度变化量大小来选取正则化参数。

To the discrete-time systems, we introduce a new discrete-time norm, the algorithm given is not depend upon the initial data. For a class of uncertain discrete-time systems, we also adopt the method of iterative learning control, we convert the problem of learning control into a global stability of trivial solution for lower triangular matrix dynamic systems, and obtain the result of tracking to desired state of the system.

对于一般非线性离散系统,引进了离散的范数,所给的算法不依赖于学习控制算法中的初始数据,对于一类不确定离散系统的状态跟踪问题,我们也采用迭代学习控制的方法,将相应的学习控制问题转化为一个下三角动力系统的平凡解全局稳定性问题,获得了对系统理想状态的跟踪结果,并对所给的算法的收敛性进行了分析。

The method of upper and lower solutions and the monotone iterative technique are used.

研究一类四阶微分方程解的存在性,利用上下解及单调迭代的方法,得出这类四阶方程的最大解和最小解的存在。

Newton's method, no conditions iterative control!

牛顿法计算程序,迭代没有条件控制!

The whole contents is divided into five chapters. In chapter 1, as the beginning of this paper, we offered some relative knowledge, such as the cone theory and semi-order method in nonlinear functional analysis. Moreover, we established a new fixed point theorem of the mixed monotone iterative operator.

全文共分成五章:第一章作为准备知识给出了本文要用到的相关知识内容,其中包括非线性泛函分析中的锥理论及半序方法,并建立了新的混合单调算子不动点定理。

In order to describe the random-like feature of chaotic signal, the statistical analysis method for discrete time chaos system is studied. A domain iterative algorithm for numerical estimation of the invariant probability distribution is presented, which is the foundation for the statistical analysis and processing of chaotic signal.

针对混沌系统的随机性特征,本文研究了离散时间混沌系统的统计分析方法,并给出了一种基于Frobenius-Perron算子的区间迭代算法用于混沌映射不变分布的数值求解,该方法在样本数较少时,仍可以获得不变分布的良好估计,为混沌信号进一步的统计分析和处理奠定了基础。

The key idea is that the proposed numerical scheme involves the operator splitting technique, balance tensor diffusivity, Runge-Kutta time-stepping method, and a conjugate gradient iterative solver.

此法最主要的概念是使用一种分离的离散式、数值平衡扩散式、时间前进法及共轭梯度法来求解。

Three different numerical iterative algorithms are developed and the accuracy and stabilities of them are compared. Tension and compression instabilities are studied and effects of Conservative Smoothing Approach and artificial viscosity on stabilities are discussed. Based on Taylor series expansion, Modified SPH method is proposed. The discrete forms of the function and its first derivative estimations of the kernel function are deduced in both one and two dimensional space.

讨论了三种不同的数值迭代算法对计算精度和稳定性的影响;分析了不稳定性产生的根源,包括拉伸不稳定和压缩不稳定,探讨了保守光滑算法和人为粘性对稳定性的影响;在Taylor展开的基础上提出了一种修正的SPH方法,并推导一维和二维情形下函数的核估计和函数的一阶导数核估计的离散形式,结果表明,二维情形下MSPH方法可以很好的改善边界粒子的计算精度。

Use of the best domain value method, iterative cycle operation to achieve the purpose of image segmentation.

利用最佳域值法,迭代循环运算达到图像分割的目的。

Use of the best domain value method, iterative cycle operation to achieve t...

利用最佳域值法,迭代循环运算达到图像分割的目的。

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