Analysis of Low Rank Matrix Recovery via Mendelson's Small Ball Method

来源 :第八届工业与应用数学国际大会 | 被引量 : 0次 | 上传用户：lanrengbuluo

【摘要】

：

　　We study low rank matrix recovery from undersampled measurements via nuclear norm minimization.We aim to recover a matrix X from few linear measurements(Fro

【作者】

：

TerstiegeUlrich;HolgerRauhut;KabanavaMaryia;

【机构】

：

RWTH Aachen Univ.

【出处】

：

第八届工业与应用数学国际大会

【发表日期】

：

2015年期

下载到本地 , 更方便阅读

下载此文赞助VIP

声明 : 本文档内容版权归属内容提供方 , 如果您对本文有版权争议 , 可与客服联系进行内容授权或下架

论文部分内容阅读

　　We study low rank matrix recovery from undersampled measurements via nuclear norm minimization.We aim to recover a matrix X from few linear measurements(Frobenius inner products with measurement matrices).For different scenarios of independent random measurement matrices we derive bounds for the minimal number of measurements sufficient to uniformly recover any rank r matrix with high probability

其他文献

Delay Systems and Applications

　　The purpose of the minisymposium is to provide a wide forum for presentations and discussions on the recent trends in the theory of differential and differe

会议

Frequency-Sweeping Stability Test for Linear Systems with Multiple Delays

　　We study the stability of time-delay systems with multiple delays,by extending a recently proposed frequency-sweeping framework.

会议

On Neutral First Order Delay Differential Equations with M Commensurate Delays

　　In this paper we derive a robust algorithmic stability test to determine asymptotic stability of a first linear delay differential equations with Constant c

会议

Delayed Feedback in the Haematopoietic System

　　The production and control of mammalian blood cells is regulated through an intertwined system of feedback mechanisms involving differentiation of cell line

会议

Non-Linear ep-Residual Minimization in A Greedy Algorithm for Phase Retrieval

　　Motivated by a very efficient greedy algorithm we introduced recently for solving phase retrieval problems with convergence guarantees,we present a modifica

会议

Hierarchical Tensors Approximation for Uncertainty Quantification

　　Hierarchical Tucker tensor format(HT-Hackbusch tensors)and Tensor Trains(TT-Tyrtyshnikov tensors,I.Oseledets)have been introduced recently for low rank tens

会议

Tensor Completion in Hierarchical Tensor Formats

　　Hierarchical Tucker tensor format(HT-Hackbusch tensors)and Tensor Trains(TT-Tyrtyshnikov tensors,I.Oseledets)have been introduced recently for low rank tens

会议

Application of Field-based Optimization Methods in NC Tool-path Computation

　　NC tool-path research has evolved from computing acceptable toolpaths to finding optimal ones.NC machining is a multi-objective problem and the various opti

会议

Double Spiral Tool Path Generation and Linking Method for Complex Pocket Machining

　　We propose a new double spiral tool-path generation and linking method for complex pockets with islands which can be used for high speed machining(HSM).Taki

会议

Machine Tool Vibrations and Machined Surface Quality

　　The lecture summarizes the free,forced,self-excited,regenerative and parametrically forced machine tool vibrations together with their different combination

会议

Analysis of Low Rank Matrix Recovery via Mendelson's Small Ball Method

与本文相关的学术论文