Introduces Dynamic Programming, focusing on saving computation by remembering previous calculations and applying it to solve optimization problems efficiently.
Presents an environment-based interpreter for recursive functions, optimizing evaluation through parameter bindings and eliminating the need for explicit substitutions.
Covers advanced counting techniques, including linear recurrence relations and generating functions, with examples from the Fibonacci sequence and differences between dice and poker cards.
