3450:635 Project #1, Optimization, Dr. Norfolk
Due:
Great Circle Distance
Using the input le of the locations of the major airports in each State, (latitudes
are North, longitudes are West), write a r
Final Examination
Optimization 3450:635 Dr. Norfolk
Due : May 5 , 2008
Show your work.
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Each hint costs 1 point.
For questions (13), de
Final Examination
Optimization 3450:635
Dr. Norfolk
Due : 12:00pm, May 3 , 2010
Show your work.
Quote any references.
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Each hint costs 1 point.
1. Fertilizer
Midterm
Optimization 3450:635
Dr. Norfolk
Due : Mar 26 , 2010
Show your work.
Quote any references.
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Each hint costs 1 point.
1. A class is given the problem
Convex Optimization
(EE227A: UC Berkeley)
Lecture 14
(Gradient methods II)
07 March, 2013
Suvrit Sra
Organizational
Take home midterm: will be released on 18th March 2013
on bSpace by 5pm; Solutions
Quasi-Newton Methods
Quasi-Newton methods are a class of optimization methods which mimic Newtons method
without computing second derivatives.
The basic idea is to approximate the Hessian B 2 f (xk )
3450:635 Project #2, Optimization, Dr. Norfolk
Due:
Travelling Salesperson Tour
Using the Great Circle calculations from project #1, and an algorithm of your
choice, nd the best tour of all cities tha
3450:635 Project #4, Optimization, Dr. Norfolk
Due:
Newtons Method
Implement the Newtons Method with Choleskis method and Hessian modication, step length = 1.0, and objective function given by Rosenbr
3450:635 Project #3, Optimization, Dr. Norfolk
Due:
Steepest Descent
Implement the steepest descent algorithm, with back-tracking line search starting
at = 1.0, and objective function given by Rosenbr
Midterm Optimization 3450:635
Dr. Norfolk Due : Mar 26 , 2008
Show your work.
Quote any references.
You may only discuss this test with me.
Each hint costs 1 point.
1. Suppose that we wish to nd a