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dc.contributor.advisorVirginia Vassilevska Williams.en_US
dc.contributor.authorAncona, Bertie(Alberto)en_US
dc.contributor.otherMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.en_US
dc.date.accessioned2019-11-22T00:01:01Z
dc.date.available2019-11-22T00:01:01Z
dc.date.copyright2019en_US
dc.date.issued2019en_US
dc.identifier.urihttps://hdl.handle.net/1721.1/123000
dc.descriptionThis electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.en_US
dc.descriptionThesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2019en_US
dc.descriptionCataloged from student-submitted PDF version of thesis.en_US
dc.descriptionIncludes bibliographical references (pages 59-60).en_US
dc.description.abstractIn this thesis, we show conditional lower bounds for graph distance problems in the sensitivity setting, a restriction on the dynamic setting. We consider graph diameter, radius, and eccentricities over a few distance metrics, and sensitivities both constant and logarithmic in the size of the graph. Despite these restrictions, we find that many lower bound results from the static and fully dynamic settings still hold under popular conjectures. We show many of these lower bounds for graphs with constant maximum degree as well.en_US
dc.description.statementofresponsibilityby Bertie Ancona.en_US
dc.format.extent60 pagesen_US
dc.language.isoengen_US
dc.publisherMassachusetts Institute of Technologyen_US
dc.rightsMIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission.en_US
dc.rights.urihttp://dspace.mit.edu/handle/1721.1/7582en_US
dc.subjectElectrical Engineering and Computer Science.en_US
dc.titleConditional lower bounds for graph sensitivity problemsen_US
dc.typeThesisen_US
dc.description.degreeM. Eng.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Scienceen_US
dc.identifier.oclc1127388799en_US
dc.description.collectionM.Eng. Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Scienceen_US
dspace.imported2019-11-22T00:01:00Zen_US
mit.thesis.degreeMasteren_US
mit.thesis.departmentEECSen_US


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