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Please use this identifier to cite or link to this item: http://arks.princeton.edu/ark:/88435/dsp01bz60cw29c
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dc.contributor.advisorSinger, Amiten_US
dc.contributor.authorCucuringu, Mihaien_US
dc.contributor.otherApplied and Computational Mathematics Departmenten_US
dc.date.accessioned2012-08-01T19:34:26Z-
dc.date.available2012-08-01T19:34:26Z-
dc.date.issued2012en_US
dc.identifier.urihttp://arks.princeton.edu/ark:/88435/dsp01bz60cw29c-
dc.description.abstractThis thesis consists of five chapters, and focuses on two main problems: the graph realization problem with its applications to localization of sensor network and structural biology, and the low-rank matrix completion problem. Chapter 1 is a brief introduction to rigidity theory and supplies the background needed for the subsequent chapters. Chapter 2 introduces the graph realization problem in dimension two, and its application to sensor network localization. Chapter 3 considers the three dimensional graph realization problem and its application to the molecule problem from structural biology. Chapter 4 focuses on the group synchronization problem, and provides a more in-depth analysis of the synchronization methods used in our algorithms for the graph realization problem in R^2 and R^3. Finally, Chapter 5 investigates the problem of uniqueness of low-rank matrix completion, building on tools from rigidity theory.en_US
dc.language.isoenen_US
dc.publisherPrinceton, NJ : Princeton Universityen_US
dc.relation.isformatofThe Mudd Manuscript Library retains one bound copy of each dissertation. Search for these copies in the <a href=http://catalog.princeton.edu> library's main catalog </a>en_US
dc.subjectdistance geometryen_US
dc.subjecteigenvector synchronizationen_US
dc.subjectgraph realizationen_US
dc.subjectlow rank matrix completionen_US
dc.subjectmolecule problemen_US
dc.subjectsensor network localizationen_US
dc.subject.classificationApplied mathematicsen_US
dc.subject.classificationMathematicsen_US
dc.titleGraph Realization and Low-Rank Matrix Completionen_US
dc.typeAcademic dissertations (Ph.D.)en_US
pu.projectgrantnumber690-2143en_US
Appears in Collections:Applied and Computational Mathematics

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