good tutorials on constrained optimization

[ilya239]

What are some good online tutorials on the constrained optimization methods used in lecture (Lagrange multipliers for inequality constraints, and quadratic programming)? I want to better understand why an optimal solution to the problem given to the quadratic solver corresponds to a maximum-margin classifier for the original problem. Many thanks!
p.s. Offline (textbook) references are welcome as well.

[yaser]

Originally Posted by ilya239

What are some good online tutorials on the constrained optimization methods used in lecture (Lagrange multipliers for inequality constraints, and quadratic programming)? I want to better understand why an optimal solution to the problem given to the quadratic solver corresponds to a maximum-margin classifier for the original problem. Many thanks!
p.s. Offline (textbook) references are welcome as well.

Here is a textbook reference for optimization:

http://www.stanford.edu/~boyd/cvxbook/

Maximizing the margin was reduced to a condition on the norm of w, and that was shown to be equivalent to the QP problem in this segment of the lecture:

[ilya239]

Originally Posted by yaser

Here is a textbook reference for optimization:
http://www.stanford.edu/~boyd/cvxbook/

Thanks a lot, this is a good treatment complementary to the ones I've found.