Recursion and Sorting Algorithms

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

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

Covers the complexity analyses of search and sorting algorithms.

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

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

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

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

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

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

Explains binary search, the logarithm function, and recursive algorithms for factorial and Fibonacci sequences.