Now showing items 1-5 of 5

    • 6.041 / 6.431 Probabilistic Systems Analysis and Applied Probability, Spring 2005 

      Bertsekas, Dimitri; Tsitsiklis, John; Médard, Muriel (2005-06)
      This course is offered both to undergraduates (6.041) and graduates (6.431), but the assignments differ. 6.041/6.431 introduces students to the modeling, quantification, and analysis of uncertainty. Topics covered include: ...
    • 6.231 Dynamic Programming and Stochastic Control, Fall 2008 

      Bertsekas, Dimitri (2008-12)
      This course covers the basic models and solution techniques for problems of sequential decision making under uncertainty (stochastic control). We will consider optimal control of a dynamical system over both a finite and ...
    • 6.231 Dynamic Programming and Stochastic Control, Fall 2011 

      Bertsekas, Dimitri (2011-12)
      The course covers the basic models and solution techniques for problems of sequential decision making under uncertainty (stochastic control). We will consider optimal control of a dynamical system over both a finite and ...
    • 6.253 Convex Analysis and Optimization, Spring 2004 

      Bertsekas, Dimitri (2004-06)
      6.253 develops the core analytical issues of continuous optimization, duality, and saddle point theory, using a handful of unifying principles that can be easily visualized and readily understood. The mathematical theory ...
    • 6.253 Convex Analysis and Optimization, Spring 2010 

      Bertsekas, Dimitri (2010-06)
      This course will focus on fundamental subjects in (deterministic) optimization, connected through the themes of convexity, geometric multipliers, and duality. The aim is to develop the core analytical and computational ...