Lectures related to Computation & Algorithms II: Sorting and Recursive Algorithms

Explores examples of algorithm complexity, sorting, and polynomial computations.

Explores the binary search algorithm's efficiency in reducing search time.

Introduces selection and insertion sorting algorithms, explaining their correctness and time complexity.

Explores recursion, recursive algorithms, and sorting algorithms' efficiency for problem-solving and data organization.

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

Explains the merge sort algorithm, its correctness, and time complexity compared to other sorting algorithms.

Explores binary search fundamentals, efficiency, and temporal complexity in algorithmic searching.

Explores binary search, merge sort, recursion in algorithms, Fibonacci numbers, and dynamic programming.