Sorting Algorithms: Selection and Insertion

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Related lectures (22)

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Quick Sort: Divide-and-Conquer

Explores the Quick Sort algorithm, focusing on its divide-and-conquer approach and time complexity analysis.

Complexity & Induction: Algorithms & Proofs

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

Dynamic Programming: Palindromic Subsequences

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

Derivatives, O-Notation

Explores derivatives, O-Notation, extrema, and algorithm complexity in Analysis 1.

Selection Sort: Efficiency and Complexity

Explores the efficiency and complexity of the selection sort algorithm compared to other sorting methods.

Insertion Sort: Basics and Analysis

Introduces Insertion Sort, explaining its basics, insertion process, and correctness analysis.

Algorithm Complexity Analyses

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

Algorithm Design: Divide and Conquer

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

Algorithmic Challenges: Solutions and Optimization

Explores algorithmic challenges, time complexity, optimization, recursion, and probability calculations.

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.