Good Will Hunting

Question 1

<p>What is Kuhn Tucker?</p>

Answer 1

<p>The acronym KT stands for this.</p>

Question 2

<p class=”large” style=”text-align:center”;>What is a Lagrange multiplier?</p>

Answer 2

<p class=”large” style=”text-align:center”;>Lamda.</p>

Question 3

<p class=”large” style=”text-align:center”;>What are lamdas?</p>

Answer 3

<p class=”large” style=”text-align:center”;>These terms balance the gradients of the constraints to be equivalent to the gradient of the objective function.</p>

Question 4

<p>What is X* is feasible?</p>

Answer 4

<p>This is the first KT condition.</p>

Question 5

<p>What is that the Hessian be positive definite for X*?</p>

Answer 5

<p>This is a sufficient condition for unconstrained optimality.</p>