| 1. | Completely analytical algorithm of nearly singular integrals in the boundary element method of potential problems
位势问题边界元法中几乎奇异积分的完全解析算法 |
| 2. | An analytical algorithm of solving generalized optimal set of discriminant vectors based on perturbation method
基于扰动方法的广义最佳鉴别矢量集求解的一种解析算法 |
| 3. | Analytical algorithm of the nearly singular integrals in boundary element method to orthotropic potential problems
正交各向异性位势问题边界元法中几乎奇异积分的解析算法 |
| 4. | An offset surface method was proposed to calculate the discrete mandril ' s height , whose algorithm was very simple and without the convergence problem which is common to analytical algorithm
提出了采用偏移球心曲面计算顶杆高度的方法，算法实现简单，无解析算法产生的收敛问题。 |
| 5. | The paper presents a lot of data collected from the fictitious device running , along with three analytical algorithms , namely phasor calculation , harmonic analysis , and comfirmation of failure phase
摘要文章阐述了在电力系统故障时如何用虚拟仪器记录大量数据和对其分析处理的三类算法：相量计算、谐波分析和故障相判别。 |
| 6. | Experimental measurements have also made on some novel and typical phenomena occurred in low pressure discharges to diagnose the mechanisms of these phenomena with help of some different methods and the newly developed analytical algorithms
指出了此种探针设计的基本原则和必须加以细致处理的几个关键问题，给出了相应理论分析的基本过程和结果。 |
| 7. | The research of nonlinear dynamic question is a front - line topic in engineering science field , up to now the algorithm with high precision and good efficiency is still a difficult problem , the analytical algorithm is merely suit to special questions and the conventional numerical methods have some disadvantages , such as the precision is sensitivity to time - step or some components of high frequency ca n ' t be obtained etc . the precise integration method ( pim ) provides a new approach to deal with dynamic system for its striking high precision
非线性动力学问题是各工程科学领域中的重要课题之一。目前，结构非线性动力系统高精度、高效率计算问题仍较难解决，非线性振动解析法仅适用求解某些特殊问题；对传统动力方程数值解法，若步长较大，计算精度不高或不能正确反映一些高频振动分量。而性能优良的精细积分算法则为结构动力系统的精细计算提供了新的求解思路。 |
| 8. | ( 3 ) a series of new methods of feature extraction based on the generalized optimal discriminant analysis are proposed , including the improved algorithm based on guo ' s algorithm calculating the generalized optimal set of discriminant vectors , the analytical algorithm of solving generalized optimal set of discriminant vectors which is the complete solution of the generalized optimal set of discriminant vectors , and the new algorithm of feature extraction based on the generalized kl transformation which enjoys the advantaqges of higher recognition rate and the lower computational load . furthur more , we have proposed the relationship between the generalized kl transformation and the generalized optimal discriminant transformation , a new explanation of generalized kl transformation has been obtained
( 3 )提出了基于广义最优鉴别分析的图象特征抽取的一系列新方法，它们包括： guo广义最优鉴别矢量集算法的改进方法；广义最优鉴别矢量集的解析算法，彻底解决广义最优鉴别矢量集的求解问题；提出了基于广义k - l变换的特征抽取方法，并从理论上揭示了基于广义k - l变换的特征抽取方法和基于广义最优鉴别准则的特征抽取方法之间的关系。 |
