查询词典 algebraic geometry

Since the Schr〓dinger equation is very difficult to be solved for the moleculescontained relatively more atomes, the algebraic approach is more efficient.

由于对原子数较多的分子，其薛定谔方程的求解非常困难，因此处理这一问题的比较有效的方法是代数方法。

In the secondary modeling,"Hidden Euler" approach is applied to solve the nonlinear simultaneous differential equations, and the discrete nonlinear algebraic equations are calculated by "Newton-Raphson" numerical approach.

二次建模时，采用隐式欧拉法求解常微分方程组，离散后形成的非线性代数方程组采用牛顿-辛普生方法进行计算。

A set of simultaneous, linear algebraic equations results for the entire structure, in which the structural displacements are unknowns.

阿的同时，线性代数方程的整体结构，在这种结构位移未知结果集。

Fundamental concepts in power system differential-algebraic equations model, like singular point and multiple energy function sheets defined on constraint manifolds, are studied.

所得研究成果揭示了微分代数模型与奇异扰动模型的本质区别、奇异性与系统模型和系统负载的联系、结构保持能量函数法可能具有的内在保守性等，这对深入理解电力系统微分代数方程模型的拓扑结构、结构保持能量函数法和暂态电压稳定及其与功角稳定的关系具有一定的价值。

Latent semantic index LSIis a new algebraic model for information retrieval, which maps documents and queries vectors into a lower dimensional space by singular value decomposition, so that the inherent vagueness associated with a retrieval process based on keyword sets is considerably reduced and semantic association among the documents is highlighted consequently.

隐含语义索引是一种新型的信息检索模型，它通过奇异值分解，将词向量和文档向量投影到一个低雏空间，消减了词和文档之间的语义模糊度，使得文档之间的语义关系更为明晰。

Some important properties of singular value vector of color face image were proved, and then it was extracted as algebraic feature and applied to color face recognition.

首先证明了彩色图像的奇异值向量具有代数和几何不变性；然后将其提取为图像的代数特征并应用到人脸识别中。

Some important properties of singular value vector of color face image were proved,and then it was extracted as algebraic feature and applied to color face recognition.

由于灰度图像易处理、灰度人脸图像库易获取的特点，大多数人脸识别方法都是基于灰度人脸图像的。

The algebraic and geometric invariance of singular value vector is firstly given,and then singular value vector compressed is extracted as the image feature,then RBF neural network is used to training and recognition.

首先说明了彩色图像的奇异值向量具有代数和几何不变性，再将降维的奇异值向量作为图像的特征，然后应用RBF神经网络进行训练和识别。

In the first chapter, we have introduced the research background and someresearch achievements of Laplacian spectral radius, and we also introduce somebasic conceptions on algebraic graph.

在第一章中，我们介绍了图的Laplace谱半径的研究背景以及近年来国内外学者的一些研究成果，也介绍了代数图论中的一些基本概念。

In this paper,lower bounds on the spectral radius of adjacency matrices of trees and perfect trees are discussed by algebraic method and edge switching of graph,and all trees which reach lower bounds on the spectral radius are obtained.

利用代数方法、图的边变换，以及树的邻接矩阵谱与L ap lacian谱的关系，研究树和完美树的邻接矩阵谱半径和L ap lacian谱半径的下界，给出达到下界的所有极树，得到的新结果改进了文献[2]的结论。

You can snipe the second and third union leaders from this position.

您可以鹬第二和第三工会领袖从这一立场出发。

Aiming at the currently shortage of XML streams quality detecting, this paper proposes a new forecasting method of XML streams quality by least squares support vector machines, which is used the method of XML keys' vector matrix as windows, and vector product wavelet transform to multilevel decompose and refactor the XML streams series, that can fulfill real-time checking demand of XML quality, and ensure constraint, consist- ency and integrality. For even more adapting net load, it proposes a control strategy by weight and adaptive adjustment to ensure XML streams quality.

针对当前XML数据流质量检测存在的不足，提出构建XML键的矢量矩阵作为窗口，利用矢量积小波变换多级分解与重构XML数据流，再结合最小二乘支持向量机对XML数据流质量进行预测的一种方法，满足XML数据流质量重构时实时检测的要求，保证XML数据的约束性、一致性与完整性；为了更好的适应网络负载，采取加权与自适应窗口调整等调度策略充分保证XML数据流的质量检测。