Optimization Algorithms: Greedy Approach

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

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

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

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

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

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

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

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

Covers the application of entropy in algorithms, focusing on sorting and decision-making strategies.