多维

He subsequently entered the Merola Opera Program of the San Francisco Opera where he performed the role of Alfredo in La Traviata and also participated in master classes with Joan Sutherland.

他到旧金山歌剧院参加了萨瑟兰的大师班，并在那里演唱了《茶花女》中的阿尔弗莱多。1999年，罗兰多·维拉泽恩在多明戈歌剧比赛中获二等奖和萨苏埃拉一等奖。

Keywords asymptotic waveform evaluation;size dimension;Power/ground planar structure;impedance characteristics;adaptive sectional method;Laurent series expansion;broad-band asymptotic waveform evaluation;multi

渐近波形估计技术；尺寸维；电源/地平面结构；阻抗特性；自适应分段方法；洛朗级数展开；宽带渐近波形估计技术；多维渐近波形估计方法；自适应跳点技术；参数提取；电源完整性分析；参变分析

Which are important in object-relational databases, and how to translate the select-from-where cause into representations of monoid system are discussed. We take into account the onedimensional and multidimensional data partition methods, physical storage structures and further more how to parallelize them.

本文讨论了对象-关系型数据库中的重要数据类型-集类型如表、集合等的有效实现；讨论了select-from-where查询语句在monoid系统中的表示方法，给出了多种一维／多维数据分布方法、物理存储结构及其并行化方法；系统地分析、设计并实现了并行数据库系统的数据库原语操作及其基本并行算法。

The content of this course includes cost benefit analysis method, the basis of optimization theory, one dimension optimization,nonrestraint multi-dimension optimization theory, linear programming, nonlinear programming, dynamic programming, Monte Carlo Method.

课程内容包括工程系统决策分析内容和步骤，费用—效益分析方法及其应用，最优化方法基础，一维搜索方法，无约束的多维搜索方法，非线性规划算法及其应用，线性规划算法及其应用，动态规划及其应用，蒙特卡洛方法及其应用等。

Thus, we may have to extend our view from one dimensional axis to multi-dimensional space, m -space, and to extend our research tools from scalars to multi-component vectors, m -vectors.

因而，我们可能要扩展我们的眼光，把我们的眼光从一维的"数轴"扩展到"多维空间"，把我们的分析工具从"标量"扩展到"多元向量"。

The dynamic programming is based on "the optimality principle", which makes a complex multidimensional question into several easy lower questions with relation to it .

动态规划是基于"最优性原理"它将一个复杂的多维问题分解成若干个相互依赖、联系的易于求解的低维问题。

The dynamic programming is based on "the optimality principle", which makes a complex multi-dimensional question into an easy lower question with relation to it.

动态规划是基于"最优性原理"它将一个复杂的多维问题分解成若干个相互依赖、联系的易于求解的低维问题。

In this chapter, three kinds of target recognition methods are performed, which are:①Target recognition method based on the description of polarization parameter plane. The echo polarization states of target are projected onto the polarization state plane described by the ellipticity ε and the tilt angle τ of the polarization ellipse, the change of parameter following ferquency becomes the chart. According to the changing trait of the chart, the multidimensional polarization feature space of target has been contructed. Furthermore, a series of polarization feature parameters used in designing the structure of target recognition device are extracted, and they are insensible to the posture of target.②Target recognition method based on the description of Poincare polarization sphere. The echo polarization states of target expressed by Stokes vector are projected onto the Poincare polarization sphere. The conception of polarization ferquency stability, which is used in describing the dynamic distribution characteristics of the target echo polarization states on Poincare polarization sphere, has been defined. A group of polarization feature parameters used in designing the structure of target recognition device are extracted, and they are insensible to the posture of target.③Target recognition method based on the description of frequency sensitivity. In accordance with the conception of the polarization state distance defined on Poincare polarization sphere, the frequency sensibility of the physical structure property of target has been investigated, the frequency distribution feature curves in PSD domain are obtained, and targets'features are extracted by means of the curve-fitting method with Least Square Criterion.

这章具体研究了基于三种极化散射特性描述的相应的目标识别方法：①基于极化参数平面描述的目标识别方法，将目标回波极化状态投影到以极化椭圆参数，即椭圆率角ε和倾角τ表征的极化状态平面上，参数随观测频率的变化就形成了图，根据图的变化特点构造了目标的多维极化特征空间，并提取了不敏感目标姿态变化的极化特征参数组来设计目标的识别器结构；②基于Poincare极化球面描述的目标识别方法，采用Stokes矢量表征目标回波的极化状态，并将其投影到描述极化状态的Poincare极化球面上，定义了极化频率稳定度的概念用以刻画目标回波极化状态在Poincare极化球面上的动态分布信息，提取了准方位不变性的目标极化特征，最后设计了目标的识别器结构；③基于频率敏感性描述的目标识别方法，通过在Poincare极化球面上所定义的极化状态距离的概念，研究的是复杂目标物理结构特性对探测信号频率的敏感程度问题，获得了在极化状态距离下的频率分布特性曲线，采用最小二乘估计曲线拟合方法，它既用于极化特征的降维，同时又直接将拟合参数作为目标的分类特征。

We use the approximate distribution comes from probability generating function of CreditRisk+ to value the CDO under the single sector factor and multi-sector factors scenarios. For single sector factor model, we discuss the sensitive analysis of CDO fair spread by different default probability, default correlation and loss given default. For multi-sector factors model, we exam the CDO fair spread based on different sector correlation assumption, such as Gamma distribution in moment match method, multivariate Gamma distribution and compound Gamma distribution.

本文在信用风险加成模型之下，利用机率产生函数的近似分配评价抵押债务债券，并考虑单一部门因子与多个部门因子，单一部门因子中，在不同违约机率、违约相关系数和违约损失率下，探讨抵押债务债券公平价差之敏感度分析；多个部门因子中，在不同相关性部门因子分配假设下，如动差配适法的伽玛分配、多维伽玛分配、复合伽玛分配，探讨抵押债务债券公平价差之方法结果比较。

But the finite difference methods require that computational domain is regular, and usually people construct the difference scheme for one dimension and then extend it to two or three dimensions in a dimension by dimension fashion.

有限差分方法要求计算区域比较规则，而且人们往往是对一维方程构造差分格式，再用分裂方法将其推广到多维。

But we don't care about Battlegrounds.

但我们并不在乎沙场中的显露。

Ah! don't mention it, the butcher's shop is a horror.

啊！不用提了。提到肉，真是糟透了。