Difference between revisions of "CompSciWeek12"
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= Reading Assignment = |
= Reading Assignment = |
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* [http://web.mit.edu/18.06/www/Spring97/exam-97.html Problem Series] from MIT Linear Algebra Course |
* [http://web.mit.edu/18.06/www/Spring97/exam-97.html Problem Series] from MIT Linear Algebra Course |
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| + | * [http://predictivestatmech.org/papers/pre-linalg.pdf Notes on Linear Algebra] |
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| + | * [[Media:Coord.pdf|Lecture Notes]] on Linear Algebra and Numerical Optimization |
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= Class 1 & 2 = |
= Class 1 & 2 = |
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Latest revision as of 12:21, 13 November 2014
Reading Assignment
- Problem Series from MIT Linear Algebra Course
- Notes on Linear Algebra
- Lecture Notes on Linear Algebra and Numerical Optimization
Class 1 & 2
- Numerical Optimization
- Numerical Integration - complete example for particle growth statistics
- Integrating with GNU ODE
Homework 7 - Due Monday, November 17
- Create two short essays by hand explaining the key concepts with equations and sketches (see Feynman Learning Technique) for:
- Rotation and translation to align axes in a 2D figure to a given endpoint.
- Gradient-following minimization of a function of N variables.
- Write an exercise to test a student's ability to translate between tensordot(), subscript summation notation, and a summation using a for-loop.
