Recursion and Karatsuba Multiplication

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Matrix Multiplication and Divide-and-Conquer Techniques

Discusses matrix multiplication using divide-and-conquer techniques and introduces Strassen's algorithm for improved efficiency.

Merge Sort: Divide-and-Conquer Approach

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

Merge Sort: Divide and Conquer

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

Merge Sort: Divide-and-Conquer

Introduces Merge Sort, a divide-and-conquer algorithm for efficient array sorting, discussing correctness, runtime analysis, linear-time merging, and recurrence solving techniques.

Algorithm Design: Divide and Conquer

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

Recursive Sorting: Merge Sort

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

Search Algorithms: Dichotomy Search

Explores dichotomy search algorithms, analyzing complexity and implementation details for efficient searching in sorted lists.

Sorting Algorithms: Selection and Insertion

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

Recursion and Sorting Algorithms

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

Computation & Algorithms II: Sorting and Recursive Algorithms

Explores sorting and recursive algorithms, including complexity analysis, maximal value, and binary search.