Mechanical Engineering, Indian Institute of Science, Bangalore 560 012, India
Optimization hinders evolution!
ME256 Variational methods and structural optimization Jan.-May, 2012
Instructor: G. K. Ananthasuresh, Room 106, ME Building, suresh at mecheng.iisc.ernet.in
Back to homepage of the course

Homework #2
Assigned: Jan. 12th, 2012
Due: Jan. 24th, 2012
Points: 50
Additional points for work that is beyond instructor's expectation!

  1. 20 points
    Take any constrained minimization problem in two variables with one objective function and two inequality constraints and one equality constraint. Solve it to find all its solutions. Plot the contours and locate the stationary points and label them as minima/maxima/saddle points as the case may be.
    Verify all of the conditions contained in the Karush-Kuhn-Tucker conditions for all the solutions. Do not forget to write a clear statement of the problem.
    Extra points for those who choose or create interesting and new problems.
  2. 15 points
    Search in the library and the Internet, choose, and write a pair of "Theorems of the Alternative". Write about the significance of those theorems, and particularly the one you have chosen, in the context of optimization with a finite set of variables.
  3. 15 points
    Given that f = x1 + x22 + x2x3 + 2 x23 and h = 0.5*(x21 + x22 + x23) - 0.5 we want to minimize f with respect to {x1, x2, x3} subject to h = 0.
    verify if {1,0,0}T with mu = -1, satisfies the necessary and sufficiency conditions.
    This is a problem given by Luenberger (1986) and used by Papalambros and Wilde (2008) to illustrate a subtle issue. Make up a new problem that has the same feature.