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resolvent kernel相关的网络例句

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Chapter III focused on OCS kernel modules, including Command Executor, Message Bus, Subsystem Agents, etc.

第三章主要讲述OCS各核心模块,包括命令执行器、消息总线和各子系统代理等组件。

This error is returned if the module load command is used before loading a Multiboot kernel.

当模块加载命令在多重引导内核加载之前使用时返回此错误。

In the six chapter, we use the methods of reproducing kernel and Carleson measure charactering the pointwise multipliers on the Hardy space, Bergman space on the polydiscs, we also obtain a necessary condition for a composition operator to be a compact operator, and a addition result on the range of composition operator on the Hardy space.

在第六章中,我们利用再生核与Carl e Son测度刻画了多圆Hardy空间到Bergman空间,以及Bergman空间到Bergman空间的点乘子,得到Hardy空间与Bergman空间上复合算子为紧的一个必要条件,以及在Hardy空间上关于复合算子值域的一个结果。

Keywords: Fisher linear discriminant analysis,kernel function,orthogonal complementary space,human face recognition

为了能利用非线性鉴别特征进行人脸识别,提出了一种基于核的子空间鉴别分析方法。

Both the MWZC set with ideal intra-group correlation properties and its combination sets of specific subsets can achieve the theoretical bound as long as a complete complementary sequence set with subsequence length 1 is used a basic kernel.

而且,无论是MWZC序列集合还是它的特定子集组成的合并集合都可以达到理论界限,从而在给定相关性能和序列长度的条件下,可以获得最大的序列数目。

In this paper, the concurrency control, the kernel of the synchronized collaborative design technology, is researched.

本文就同步协同设计技术中的核心问题并发控制问题开展了研究。

Weapply the kernel methods of regression functions and conditional density functions to obtain aseries ofβas the estimators ofβ.

回归函数核估计方法中,又分别提出了在选定连续样本点和离散样本点时的两种非参数估计模型,并对这两种模型做了详细的阐述。

We apply the kernel methods of regression functions and conditional density functions to obtain a series of as the estimators of . Then using Monte Carlo Analysis method , we can get the optimal choice of the unknown parametric that is . Examples illustrate the models and will show this estimation is effective.

应用回归函数核估计和条件密度函数的核估计方法估计未知量,将得到的一组估计值用Monte Carlo Analysis方法处理便得到最优的,并通过算例模拟讨论以上估计方法的优劣。

The kernel of stochastic model is the construction of joint distribution or conditional probability distribution.

随机模型的核心问题是构建联合分布或条件概率分布。

This paper discusses the conditional stability for solving the inverse sideways heat conduction problem by the rapid decreasing properties of the mollification kernel function, and obtain its regularization solution and its error estimate by constructing a well-posed problem.

利用磨光核函数在无穷远处的急降性质研究了反问题的条件稳定性,构造了一个适定的问题来逼近原问题,从而获得反问题的正则化解及其误差估计。

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赛后,科比说,他一直都是一名非常出色的射手,今天他打得很棒。

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