Homework 8

Due: Dec. 28, 22:00:00

Newton's method

  1. Consider the following optimization problem:

    minex1+e2x2

    subject tox1+x2=1.

    • Write down the Lagrangian function and the (first-order) optimality condition.
    • Solve the problem by the Lagrange multiplier method.
    • Find the closed form expression for the Newton direction, and run an iteration starting from the initial point x=(1,0)T.

KKT condition

  1. Consider the following optimization problem:

    minf(x1,x2)=ex1+x2+ex1−x2

    subject tox1+x2≥1,x1≥0.

    • Write down the Lagrangian function and the KKT conditions.
    • Find the optimal point and corresponding multipliers.
  2. Consider the following optimization problem:

    min12‖x−x0‖2

    subject tog(x)≤0.

    Suppose that g(x)∈C1:Rn→R is a continuously differentiable function, x0∈Rn and g(x0)>0.

    Let x∗ be the optimal solution and we further assume that x∗ is a regular point. Apply KKT condition to determine:

    • Whether g(x∗)=0 or g(x∗)<0 ?
    • Whether (x∗−x0)T∇g(x∗)<0, =0, or >0 ?

Lagrange dual

  1. Consider the following optimization problem:

    minf(x)=log⁡(1+ex)

    subject tox≥0.

    • Find the optimal solution and the optimal value of f.
    • Write down the dual function and find the closed form.
    • Write down the dual problem.
    • Find the optimal solution to the dual problem.

Questionnaire