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基于噪声抑制的电机结构设计与工艺优化比较研究
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作者 雷美艳 《机床与液压》 北大核心 2004年第6期166-167,共2页
介绍电机噪声的分类及其产生的机理与原因。基于噪声抑制 ,对电机结构设计与制造工艺进行优化比较 。
关键词 噪声 优化比较 小等距
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On Infinitesimal Ⅱ-isometry of Surfaces
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作者 杨纬隆 《Chinese Quarterly Journal of Mathematics》 CSCD 1996年第2期5-10,共6页
In this paper,we try to discuss the conjecture which says that infinitesimal Ⅱ-isome try of surface is infintesimal Ⅰ -isometry. i. e, infinitesimal rigid.Under some weakly suppositions of Guass curvature,some new ... In this paper,we try to discuss the conjecture which says that infinitesimal Ⅱ-isome try of surface is infintesimal Ⅰ -isometry. i. e, infinitesimal rigid.Under some weakly suppositions of Guass curvature,some new results are worked out They are generalizations of known theories. 展开更多
关键词 SURFACE infintesimal Ⅱ-isometry infintesimal rigid
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A Theorem on Infinitesimal I-isometry of Surfaces Immersed in a Space with Constant Curvature
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作者 程新跃 杨文茂 邱敦元 《Chinese Quarterly Journal of Mathematics》 CSCD 1997年第4期63-69, ,共7页
In this paper we discuss the infinitesimal I-isometric de formations of surfaces immersed in a space with constant curvature. We obtain a sufficient condition for the de formation vector field to be zero vector field ... In this paper we discuss the infinitesimal I-isometric de formations of surfaces immersed in a space with constant curvature. We obtain a sufficient condition for the de formation vector field to be zero vector field which is generalization of the results in [1] and [2]. 展开更多
关键词 infinitesimal isometric deformation mean curvature vector sectional curvature
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The bounds of restricted isometry constants for low rank matrices recovery 被引量:6
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作者 WANG HuiMin LI Song 《Science China Mathematics》 SCIE 2013年第6期1117-1127,共11页
This paper discusses conditions under which the solution of linear system with minimal Schatten-p norm, 0 〈 p ≤ 1, is also the lowest-rank solution of this linear system. To study this problem, an important tool is ... This paper discusses conditions under which the solution of linear system with minimal Schatten-p norm, 0 〈 p ≤ 1, is also the lowest-rank solution of this linear system. To study this problem, an important tool is the restricted isometry constant (RIC). Some papers provided the upper bounds of RIC to guarantee that the nuclear-norm minimization stably recovers a low-rank matrix. For example, Fazel improved the upper bounds to δ4Ar 〈 0.558 and δ3rA 〈 0.4721, respectively. Recently, the upper bounds of RIC can be improved to δ2rA 〈 0.307. In fact, by using some methods, the upper bounds of RIC can be improved to δ2tA 〈 0.4931 and δrA 〈 0.309. In this paper, we focus on the lower bounds of RIC, we show that there exists linear maps A with δ2rA 〉1√2 or δrA 〉 1/3 for which nuclear norm recovery fail on some matrix with rank at most r. These results indicate that there is only a little limited room for improving the upper bounds for δ2rA and δrA.Furthermore, we also discuss the upper bound of restricted isometry constant associated with linear maps A for Schatten p (0 〈 p 〈 1) quasi norm minimization problem. 展开更多
关键词 restricted isometry constants low-rank matrix recovery Schatten-p norm nuclear norm com-pressed sensing convex optimization
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