Reading:

• Hughes-Hallett 4.1, 4.2, 4.3, 8.5 (ignore subsection “Is a Critical Point a Local Maximum or a Local Minimum), 8.6 (ignore subsection “Analytical Approach: The Method of Lagrange Multipliers”)
• Gradient Reader
• StartR 2.1, 2.3, 4.1
• Antagonism Between Achievement and Enjoyment

Lessons (Asterisk indicates there is a checkpoint quiz in Moodle):

• Introduction to Optimization*: Screencast – Slides
• 1D Optimization*: Screencast – Slides
• Unconstrained 2D Optimization*: Screencast – Slides
• Constrained 2D Optimization*: Screencast – Slides
• Gradient Search in R: Screencast
• Constrained Optimization in R: Screencast

Practice problems:

• 4.1.7, 21, 28, 29, 31
• 4.2.8, 14
• 4.3.2, 19, 39, 42, 47
• 8.5.18
• 8.6.11, 12, 13, 14 (use R), 18, 19, 21, 22 (use R)
• Answer key

In-Class Activities:

• R notes
• Optimization practice (key)
• Constrained optimization practice (key)