Courses:

Engineering and Applied Sciences >> Information Science


For Course Instructors

  • Advertise your course for free
  • Feature your course listing
  • Create course discussion group
  • Link to your course page
  • Increase student enrollment

More Info...>>


Course Info

  • Course Number / Code:
  • 6.253 (Spring 2004) 
  • Course Title:
  • Convex Analysis and Optimization 
  • Course Level:
  • Graduate 
  • Offered by :
  • Massachusetts Institute of Technology (MIT)
    Massachusetts, United States  
  • Department:
  • Electrical Engineering and Computer Science 
  • Course Instructor(s):
  • Prof. Dimitri Bertsekas 
  • Course Introduction:
  •  


  • 6.253 Convex Analysis and Optimization



    Spring 2004




    Course Highlights


    This course site features a complete set of lecture notes.


    Course Description


    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 of convex sets and functions is discussed in detail, and is the basis for an intuitive, highly visual, geometrical approach to the subject.
     

ACKNOWLEDGEMENT:
This course content is a redistribution of MIT Open Courses. Access to the course materials is free to all users.






© 2017 CourseTube.com, by Higher Ed Media LLC. All Rights Reserved.