Please use this identifier to cite or link to this item:
http://arks.princeton.edu/ark:/88435/dsp01bz60cw29c
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.advisor | Singer, Amit | en_US |
dc.contributor.author | Cucuringu, Mihai | en_US |
dc.contributor.other | Applied and Computational Mathematics Department | en_US |
dc.date.accessioned | 2012-08-01T19:34:26Z | - |
dc.date.available | 2012-08-01T19:34:26Z | - |
dc.date.issued | 2012 | en_US |
dc.identifier.uri | http://arks.princeton.edu/ark:/88435/dsp01bz60cw29c | - |
dc.description.abstract | This 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.iso | en | en_US |
dc.publisher | Princeton, NJ : Princeton University | en_US |
dc.relation.isformatof | The 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.subject | distance geometry | en_US |
dc.subject | eigenvector synchronization | en_US |
dc.subject | graph realization | en_US |
dc.subject | low rank matrix completion | en_US |
dc.subject | molecule problem | en_US |
dc.subject | sensor network localization | en_US |
dc.subject.classification | Applied mathematics | en_US |
dc.subject.classification | Mathematics | en_US |
dc.title | Graph Realization and Low-Rank Matrix Completion | en_US |
dc.type | Academic dissertations (Ph.D.) | en_US |
pu.projectgrantnumber | 690-2143 | en_US |
Appears in Collections: | Applied and Computational Mathematics |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Cucuringu_princeton_0181D_10225.pdf | 18.58 MB | Adobe PDF | View/Download |
Items in Dataspace are protected by copyright, with all rights reserved, unless otherwise indicated.