Lectures related to Quick Sort: In-place Subdivision

Explores derivatives, O-Notation, extrema, and algorithm complexity in Analysis 1.

Introduces the merge sort algorithm through the divide-and-conquer approach, emphasizing correctness and time analysis.

Covers the merge sort algorithm, which recursively divides, sorts, and merges sublists to achieve a final sorted list.

Explores recursive sorting algorithms, recursion, dynamic programming, and the efficiency of recursive solutions.

Introduces growth of functions, sorting problem, insertion sort, computational model, and merge sort.