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Algebra / Operations research / Real algebraic geometry / Convex optimization / Convex function / Semidefinite programming / Adjacency matrix / Convex cone / Matrix / Mathematical optimization / Mathematics / Convex analysis


Convex Optimization Methods for Graphs and Statistical Modeling by Venkat Chandrasekaran B.A. in Mathematics, B.S. in Electrical and Computer Engineering Rice University (2005)
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Document Date: 2012-02-01 13:45:54


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File Size: 1,41 MB

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Facility

Massachusetts Institute of Technology June / Massachusetts Institute of Technology / Computer Engineering Rice University / Computer Science Massachusetts Institute of Technology / /

IndustryTerm

optical systems / signal processing / /

Organization

Professors of Electrical Engineering / NSF FRG / Department Committee on Graduate Students / Rice University / Massachusetts Institute of Technology / Department of Electrical Engineering and Computer Science / /

Person

Noah Stein / Emily Fox / Devavrat Shah / Brian Jones / David Gamarnik / Janet Fischer / Nathan Srebro / Rene Pfitzner / Ryan Giles / Matt Johnson / Misha Chertkov / Hari Narayanan / Sujay Sanghavi / Peter Jones / Pat Kreidl / Evgeny Logvinov / Debbie Deng / Jinwoo Shin / Alan S. Willsky / Pablo A. Parrilo / Matt Barnett / Lisa Gaumond / Amir Ali Ahmadi / Alan S. Willsky Edwin Sibley / Rachel Cohen / Prahladh Harsha / Jin Choi / Dmitry Malioutov / Ben Recht / Ying Liu / Shrini Kudekar / Jason Williams / James Saunderson / Jennifer Donovan / Shashi Borade / Urs Niesen / Vincent Tan / Sanjoy Mitter / Ahmed Kirmani / Jason Johnson / /

Position

Professor of Electrical Engineering and Computer Science Thesis Supervisor / Professor of Electrical Engineering and Computer Science Chair / great advisors in Alan Willsky / Fisher / /

ProvinceOrState

Massachusetts / /

Technology

machine learning / Simulation / 2011 Massachusetts Institute of Technology / /

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