CompSciWeek12

= Reading Assignment =
 * Problem Series from MIT Linear Algebra Course
 * Notes on Linear Algebra
 * [[Media:Coord.pdf|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.