Merge sort

Related lectures (26)

Page 2 of 3

Covers the concept of Merge Sort, a highly efficient recursive sorting algorithm.

Covers recursion, dynamic programming, and algorithm design using divide and conquer strategies.

Explains recursive sorting using Merge Sort and its linearithmic complexity.

Explores loop invariants, time analysis, and the Divide-and-Conquer approach with a focus on Merge Sort.

Covers parametric polymorphism, lists construction, tuples, generic methods, merge sort, and proving program properties.

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

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

Covers the analysis of algorithms, focusing on insertion sort and computational models.

Explores the Merge Sort algorithm, applying the Divide and Conquer approach to sorting arrays efficiently.

Covers the concept of Merge Sort, a recursive sorting algorithm that divides a list into sublists until each sublist has one element.