ill conditioned meaning in Chinese
病态的
Examples
- From the computational perspective , we can avoid to solve linear systems often suffering from ill conditioning , which was needed in former fractal approximation techniques
从计算前景看这避免了处理在以前的分形逼近方法中需要处理的病态线形系统。 - How to analyze the essence , overcome the effect of ill conditioning and obtain more accurate and stable estimation of the unknown parameters are very important in many fields , such as gps surveying data processing , and have been determined as an important studying field in contemporary surveying error theory and engineering data processing by the international association of geodesy ( 1ag ) . the dissertation begins with review of the main history of ill conditioning research
如何针对测量实际，分析测量平差系统病态性的实质、克服或减弱测量平差系统病态性的影响、取得更为准确的参数估值和可靠的平差成果，是当前gps等重大测量工程数据处理中所面临的一个重要课题，它已被国际大地测量协会( iag )确立为现代测量误差理论及数据处理研究中的一项重要内容。 - Based on the singular - value decomposition method , several schemes to readjust the singular value of design matrix are proponed through perturbation analysis , and a simulated example is studied for illustrating these schemes can overcome the ill effect when there exist ill conditioning among the columns of the design matrix . the problem of selecting the biased parameter is studied in every scheme
通过对观测方程进行扰动分析，基二奇异值分解技术，提出了若干种修正奇异值的方案，讨论了奇异值修正方案中偏参数的选取问题，并且结合模拟算例对这些方案在克服设计阵的病态性影响方面的作用进行了研究。 - This algorithm improves confidence in se by estimating parameters and states at the same time . simulation results on test power systems which range in size from 4 to 118 buses , have shown the virtues as follows : getting unbiased estimation without detecting and identifying bad data in measurements ; solving state and parameter estimation for power system with good convergence and excellent robust property ; increasing the numbers of iterations a little bit with the test systems expanded ; estimating many transformer taps simultaneously and remaining the main state estimation ; keeping the estimated relative error within + 0 . 1 % and processing efficiently equality constraints and ill condition with polynomial complexity
对ieee ? 4 118节点系统和广西主网进行的仿真结果表明： l1范数估计具有不良数据拒绝特性，当量测量中存在不良数据时，该算法在不经检测和辨识不良数据情况下仍是无偏估计，具有良好收敛性，所需迭代次数随着问题规模扩大而增长极小；能够同时估计多个变压器抽头，并保持状态估计主体；在满足可观测性条件下，估计的相对误差保证在0 . 1以内；能够有效处理等式约束和病态条件，并具有多项式时间性。