Lectures related to Merge algorithm

Covers mathematical induction, recursively defined functions, and iterative algorithms for problem-solving.

Covers statistical hypothesis testing, likelihood estimation, and confidence intervals construction.

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

Presents the merge sort algorithm for sorting integers and the concept of fusion for merging ordered lists efficiently.

Explains recursion in algorithms and the Karatsuba multiplication method for large numbers.

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