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kernel function相关的网络例句

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

Of course, it is Galaxy series product got paying close attention to not just, this year August, the company announced to release 8 kernels, every kernel the Niagara2 chip of 8 lines Cheng, the network that the function of the buy inside Niagara 2 includes per sec. 10Mbps, add communication of close, PCI Express and 4 memory controller to wait amain, it may be said is an example of odd chip system.

当然,不仅仅是Galaxy系列产品得到了关注,今年8月份,公司宣布发布了8内核,每个内核8线程的Niagara2 芯片,Niagara 2内置的功能包括每秒钟10Mbps的网络、全速加密、PCI Express通讯以及4个内存控制器等,可谓是单芯片系统的一个典范。

In the fifth chapter, we use the the methods of function theoryestablised a class of analytic reproducing kernel space, we call it a generalized Arveson space.

在第五章中,我们利用函数论的方法建立了更广泛的一类解析的再生核空间,称之为广义Arveson空间,讨论了它的一些关系,并得到了一些有趣的结果。

This paper is major in the research of PROFIBUS-DP protocol and SPC3s kernel program, and gives the hardware and software architrave. The measurement system can not only get the exact data from location but also has the function of self-diagnosis、 self-alarming and self-compensation.

本论文在研究了PROFIBUS-DP现场总线的基本理论的基础上,通过对协议芯片SPC3的资源和通信协议的研究,剖析了SPC3的核心程序,探讨了装置组成的硬件和软件策略,给出了硬件软件系统设计框图,开发出带PROFIBUS-DP接口的热电偶温度检测装置。

NA samples ; the kernel estimation of density function ; empiricale Bayes test ; asymptotic optimality ; convergence rates

NA样本;密度函数的核估计;经验Bayes检验;渐近最优性;收敛速度

The objective of this paper is to analyze medical expenses records of a group in a year. The Kernel Density Estimation, a nonparametric method, is used to estimate the density function of natural logarithm of medical expenses amount. Then the estimated density function is used to estimate the means and variances of medical expenses amount spent by the inpatients per time.

本文研究了某团体一年的住院医疗费用记录,运用非参数模型中的核密度估计方法,对每次住院费用对数的分布密度进行了估计,并用它进一步估计了每次住院费用的均值和方差,取得了较好的效果。

In the special case of GLM—normal linear model with classical link function,we compare our methods with existing ones and our methods perform more excellently.Finally,sequential detection of structural changes is studied in nonparametric regression models o Based on Nadaraya-Watson estimator of regression function,we calculate the residual series and construct "residual cumulative sum process" with weight values of kernel estimator of "long-run average density function".

在随机模拟一节中,给出了布朗桥的h-增量过程的"Max-Max"泛函统计量的经验分位数表,并在随机模拟中验证了文中所提"部分和"与"滑动和"方法的有效性,同时在广义线性模型取"典则连接函数"时的特例—正态线性模型场合,与已有方法进行了对比,结果显示文中所提方法表现更优。

The relationsare built among the Bergman kernel,the Riemann mapping function,the Szeg'o kerneland the Green function etc.,therefore,if we get the one of them,then it is easy toobtain the others from these relations.

五研究了Bergman核的理论,它具有再生性质,给出了Bergman核、Riemann映射、核以及Green函数之间的密切关系表达式。

The method is to add a term into the original singular kernel while it subtracts its analytical solution from the original equation. Since the singularity of Green's function can be eliminated by such a mathematical technique, shape function does not need to be supposed while solving the unknown. The calculation can be directly applied to the real shape of the object by taking the integral points distributed on the object as nodes that satisfy boundary conditions.

由於格林函数的奇异性经过数学上的技巧加以消除,因此当求解未知数时已经不需要再假设形状函数,即可直接使用物体真实的外型来做计算,也就是直接将物体上分布的积分点视为满足边界条件的节点。

Optimization; parametric quadratic convex programming; set-valued map; directional derivative; linear stability; solution-set map; parametric linear programming; error bound; subdifferential map; lower locally directionally Lipschitzian; upper locally di-rectionally Lipschitzian; locally directionally Lipschitzian; convex function; quasidiferential; kernelled quasidiferential; quasi-kernel; star-kernel; star-diferential; Penot diferential; subderivative; superderivative; epiderivative; set-valued optimization; set-valued analysis; subdifferential; optimization condition;ε-dual; scalization; generalized subconvexlike-cone;ε-Lagrange multiplier

基础科学,数学,运筹学最优化;集值映射;方向导数;线性稳定;最优解集映射;参数线性规划;参数凸二次规划;误差界;次微分映射;下局部方向Lipschitzian;上局部方向Lipschitzian;局部方向Lipschitzian;凸函数;拟微分;核拟微分;拟核;星核;星微分; Penot-微分;上导数;下导数; Epi-导数;集值优化;集值分析;集值映射的次微分;最优性条件;广义锥次类凸;ε-对偶;数乘;ε-Lagrange乘子

Secondly the paper takes U-BOOT as the booting systems. It expatiates upon the booting system's processes and function and puts forward developments methods of the booting systems; According to the basic principle of Linux kernel the paper mainly expatiates on the processes, memory management and file system of OS. Furthermore it gives the kernel's start-up processes and replants the OS to the goal system.

其次,本文以U-BOOT为引导系统,对引导程序的程序流程及功能进行研究分析,对引导系统进行了开发;根据Linux内核的基本原理,对操作系统的进程、内存管理以及文件系统进行分析,给出了内核的启动流程,并完成了向目标系统的移植工作。

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