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*(15 pts) FInd the largest range of the step-size, <math> \alpha </math>, for which the fixed step gradient descent algorithm is guaranteed to convege to the minimizer of the quadratic function <br/>
 
*(15 pts) FInd the largest range of the step-size, <math> \alpha </math>, for which the fixed step gradient descent algorithm is guaranteed to convege to the minimizer of the quadratic function <br/>
 
<center> <math> f = \frac{1}{2} x^{T}Qx - b^{T}x </math> </center> <br/>
 
<center> <math> f = \frac{1}{2} x^{T}Qx - b^{T}x </math> </center> <br/>
starting from an arbitary initial condition <math> x^{(0)} \in \mathbb{R}^{n} </math>
+
starting from an arbitary initial condition <math> x^{(0)} \in \mathbb{R}^{n} </math>, where  <math> x \in \mathbb{R}^{n} </math>, and <math>Q = Q^{T} > 0</math>. <br/>
 +
*(5 pts) Find the largest range of the step size, <math>\alpha</math>, for which the fixed step gradient descent algorithm is guaranteed to converge to the minimizer of the quadratic function<br/>
 +
<center><math> f= 6x_{1}^{2}+2x_{2}^{2}-5 </math></center>, <br/>
 +
starting from an arbitrary initial condition <math>x^{(0)} \in \mathbb{R}^{n}</math>
  
  
 +
----
 +
3. (20 pts) Is the function <br/>
  
 
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Revision as of 22:22, 27 January 2019


ECE Ph.D. Qualifying Exam

Automatic Control (AC)

Question 3: Optimization

August 2017



Student answers and discussions for Part 1,2,3,4,5

1.(20 pts) Considern the following linear program,

minimize $ 2x_{1} + x_{2} $,

subject to $ x_{1} + 3x_{2} \geq 6 $

$ 2x_{1} + x_{2} \geq 4 $

$ x_{1} + x_{2} \leq 3 $

$ x_{1} \geq 0 $, $ x_{2} \geq 0 $.

Convert the above linear program into standard form and find an initial basix feasible solution for the program in standard form.


2.(20 pts)

  • (15 pts) FInd the largest range of the step-size, $ \alpha $, for which the fixed step gradient descent algorithm is guaranteed to convege to the minimizer of the quadratic function
$ f = \frac{1}{2} x^{T}Qx - b^{T}x $

starting from an arbitary initial condition $ x^{(0)} \in \mathbb{R}^{n} $, where $ x \in \mathbb{R}^{n} $, and $ Q = Q^{T} > 0 $.

  • (5 pts) Find the largest range of the step size, $ \alpha $, for which the fixed step gradient descent algorithm is guaranteed to converge to the minimizer of the quadratic function
$ f= 6x_{1}^{2}+2x_{2}^{2}-5 $
,

starting from an arbitrary initial condition $ x^{(0)} \in \mathbb{R}^{n} $



3. (20 pts) Is the function

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