.. Created by Adam Cunnningham on Mon May 30 2016.

**Week 12: November 14 - 18**
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Optimization
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Finding the "best" solution to a problem is a common requirement in engineering and in the natural and social sciences. We start by looking at ways to do this for functions of a single variable.

Multivariable Optimization
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We study optimization techniques for problems where more than one variable can be changed at a time.

Global Positioning System (GPS)
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Finding a location using the Global Positioning System (GPS) can be formulated as a multivariable optimization problem. Using a simplified 2D GPS model, we solve this problem using the techniques developed in class.

NumPy
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- **random.choice**

Matplotlib
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- **contour**
- **contourf**
- **colorbar**

Quiz 10: NumPy Array Operations
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- Vectorized code
- Axis-dependent operations: **sum**, **mean**, **amin**, **amax**, **argmin**, **argmax**

:download:`Sample Quiz 10 <../Quizzes/Quiz10Sample.pdf>`

Report 9
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:doc:`gps`