Completely analytical algorithm of nearly singular integrals in the boundary element method of potential problems 位勢問題邊界元法中幾乎奇異積分的完全解析算法
An analytical algorithm of solving generalized optimal set of discriminant vectors based on perturbation method 基于擾動方法的廣義最佳鑒別矢量集求解的一種解析算法
Analytical algorithm of the nearly singular integrals in boundary element method to orthotropic potential problems 正交各向異性位勢問題邊界元法中幾乎奇異積分的解析算法
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計算頂桿高度的方法,算法實現(xiàn)簡單,無解析算法產(chǎn)生的收斂問題。
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 摘要文章闡述了在電力系統(tǒng)故障時如何用虛擬儀器記錄大量數(shù)據(jù)和對其分析處理的三類算法:相量計算、諧波分析和故障相判別。
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 指出了此種探針設(shè)計的基本原則和必須加以細(xì)致處理的幾個關(guān)鍵問題,給出了相應(yīng)理論分析的基本過程和結(jié)果。
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 非線性動力學(xué)問題是各工程科學(xué)領(lǐng)域中的重要課題之一。目前,結(jié)構(gòu)非線性動力系統(tǒng)高精度、高效率計算問題仍較難解決,非線性振動解析法僅適用求解某些特殊問題;對傳統(tǒng)動力方程數(shù)值解法,若步長較大,計算精度不高或不能正確反映一些高頻振動分量。而性能優(yōu)良的精細(xì)積分算法則為結(jié)構(gòu)動力系統(tǒng)的精細(xì)計算提供了新的求解思路。
( 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 )提出了基于廣義最優(yōu)鑒別分析的圖象特征抽取的一系列新方法,它們包括: guo廣義最優(yōu)鑒別矢量集算法的改進方法;廣義最優(yōu)鑒別矢量集的解析算法,徹底解決廣義最優(yōu)鑒別矢量集的求解問題;提出了基于廣義k - l變換的特征抽取方法,并從理論上揭示了基于廣義k - l變換的特征抽取方法和基于廣義最優(yōu)鑒別準(zhǔn)則的特征抽取方法之間的關(guān)系。