Theses most similar to those of author Wang, Mengdi

Simulation-based approximate solution of large-scale linear least squares problems and applications (2010) read it

  • Advisor: Jaakkola, Tommi S. (Tommi Sakari)
  • Department of Electrical Engineering and Computer Science
  • Advisors: Glenn D. Ellison; Muhamet Yildiz
  • Department of Economics
  • Advisors: D. Simeste; J.N. Tsitsiklis
  • Operations Research Center
  • Advisors: Daniel A. Spielman; Santosh Vempala
  • Department of Mathematics
  • Advisor: Alan S. Willsky
  • Department of Electrical Engineering and Computer Science
  • Advisors: Newey, Whitney K; Victor Chernozhukov
  • Department of Economics
  • Advisor: Munther A. Dahleh
  • Department of Electrical Engineering and Computer Science
  • Advisor: Constantinos Daskalakis
  • Department of Electrical Engineering and Computer Science
  • Advisors: Jerry A. Hausman; Victor Chernozhukov
  • Department of Economics
  • Advisors: Marzouk, Youssef M. (Youssef Mohamed); Sertac Karaman
  • Department of Aeronautics and Astronautics

Stochastic methods for large-scale linear problems, variational inequalities, and convex optimization (2013) read it

  • Advisor: Dimitris Bertsimas Pablo A. Parrilo
  • Department of Electrical Engineering and Computer Science
  • Advisor: John N. Tsitsiklis
  • Department of Electrical Engineering and Computer Science
  • Advisor: Alan S. Willsky
  • Department of Electrical Engineering and Computer Science
  • Advisors: Newey, Whitney K; Victor Chernozhukov
  • Department of Economics
  • Advisors: Newey, Whitney K; Victor Chernozhukov
  • Department of Economics
  • Advisors: Alan S. Willsky; Dimitris Bertsimas Pablo A. Parrilo
  • Department of Electrical Engineering and Computer Science
  • Advisors: Alan S. Willsky; Dimitris Bertsimas Pablo A. Parrilo
  • Department of Electrical Engineering and Computer Science
  • Advisor: Abhinav Kumar
  • Department of Mathematics
  • Advisors: Stefanie Jegelk; Suvrit Sra
  • Department of Electrical Engineering and Computer Science