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Course Info

  • Course Number / Code:
  • 6.252J (Spring 2004) 
  • Course Title:
  • Nonlinear Programming 
  • Course Level:
  • Graduate 
  • Offered by :
  • Massachusetts Institute of Technology (MIT)
    Massachusetts, United States  
  • Department:
  • Sloan School of Management 
  • Course Instructor(s):
  • Prof. Robert Freund 
  • Course Introduction:
  •  


  • 15.084J / 6.252J Nonlinear Programming



    Spring 2004




    Course Highlights


    Nonlinear Programming features videos of three key lectures in their entirety. A set of comprehensive lecture notes are also available, which explains concepts with the help of equations and sample exercises.


    Course Description


    This course introduces students to the fundamentals of nonlinear optimization theory and methods. Topics include unconstrained and constrained optimization, linear and quadratic programming, Lagrange and conic duality theory, interior-point algorithms and theory, Lagrangian relaxation, generalized programming, and semi-definite programming. Algorithmic methods used in the class include steepest descent, Newton's method, conditional gradient and subgradient optimization, interior-point methods and penalty and barrier methods.


    Special Features




    Technical Requirements


    Special software is required to use some of the files in this course: .rm.


    *Some translations represent previous versions of courses.

     

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






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