ill conditioning 病态性
numerical ill-conditioning 数值病态
ill conditioning diagnostics 病态性诊断
diagnosis and improvement of ill-conditioning 病态的诊断和改进
Ill-conditioning Diagnostics Based on Eigensystem 基于特征系统的病态性诊断
The resarch on covering the bad effects of ill conditioning to obtain more accurate and stable estimation of the unknown parameters is important in surveying engineering data processing field. So the ill-conditioning diagnostics should be studied firstly.
如何针对测量实际,削弱或克服测量平差系统病态性的危害,取得更为准确的参数估值和可靠的平差成果,是当前测量工程数据处理中面临的一个重要课题,而给出更合理的诊断指标是进行病态性诊断研究的重点。
参考来源 - 基于敏感度分析的病态性诊断·2,447,543篇论文数据，部分数据来源于NoteExpress
The parameter estimation problem in parameter adjustment model is considered when outliers and ill-conditioning exist simultaneously.
讨论了测量平差中粗差和病态性同时存在时的参数估计问题。
In the proposed method, virtual measurements are treated as equality constraints, which avoids the numerical ill-conditioning problem due to the disparity in weighting factors.
该方法把虚拟测量处理为等式约束，避免了由于权因子分散而导致的数值病态问题。
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