Algorithms: Summary of the week

Related lectures (23)

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Provides an overview of essential search and sort algorithms in computer science.

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

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

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

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

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

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

Covers the complexity analyses of search and sorting algorithms.

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

Explores linear search, insertion sort, coin change, maximum matching, and the halting problem in algorithms.