Lectures related to Algorithms in Computer Science: Search and Sort Techniques

Covers worst-case complexity, algorithms, and proofs including mathematical induction and recursion.

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

Explores dynamic programming for palindromic subsequences, merging binary search trees, and finding the median of two sorted arrays.

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

Explores worst-case complexity, mathematical induction, and algorithms like binary search and insertion sort.

Introduces the CS-250 Algorithms course, covering its structure, objectives, and key topics in algorithmic problem-solving.

Covers the complexity analyses of algorithms and their worst-case time complexities.

Explores optimization problems and greedy algorithms for efficient decision-making.

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

Covers hashing, sorting, extendible hashing, linear hashing, and external sorting.

Explores sorting methods, insertion sort, and algorithm comparison for efficient data organization.

Covers the complexity analyses of search and sorting algorithms.

Discusses Strassen's algorithm for matrix multiplication and heaps, covering efficient algorithms and their applications in computer science.

Covers algorithms for searching, sorting, optimization, and the Halting Problem.

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

Explains recursive sorting using Merge Sort and its linearithmic complexity.

Introduces recursion and binary search algorithms for efficient problem-solving.

Covers the basics of algorithms, the importance of studying them, data structures, and the impact of algorithms on various fields.

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