- Consider the optimization
min ex1+3x20.1 + ex13x20.1 + ex10.1
Write a code to solve this optimization using the gradient method with the backtracking parameters = 0.1 and = 0.6. Draw f(x(k)) verses k for k = 0,1,2, ,50 on a log-linear plot.
- Consider the optimization
min
where n = 5000 and ai are randomly generated vectors. Solve this optimization using Newtons method with the backtracking line search ( = 0.01 and = 0.5). Draw f(x(k)) versus k for k = 0,1,2, ,30 on a log-linear plot.
- Derive the distributed ADMM updates for SVM problem.

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