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Lecture
Introduction to Algorithms: Course Overview and Basics
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Related lectures (18)
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Calcul and Algorithms: What is an Algorithm?
Covers the basics of algorithms in computer science, including their formalization and complexity.
Sorting Algorithms: Sorting Methods and Comparison
Explores sorting methods, insertion sort, and algorithm comparison for efficient data organization.
Recursive Sorting: Merge Sort
Explains recursive sorting using Merge Sort and its linearithmic complexity.
Sorting Algorithms: Selection and Insertion
Introduces selection and insertion sorting algorithms, explaining their correctness and time complexity.
Algorithmic Challenges: Solutions and Optimization
Explores algorithmic challenges, time complexity, optimization, recursion, and probability calculations.
Merge Sort: Divide and Conquer
Explores the Merge Sort algorithm, applying the Divide and Conquer approach to sorting arrays efficiently.
Quick Sort: Divide-and-Conquer
Explores the Quick Sort algorithm, focusing on its divide-and-conquer approach and time complexity analysis.
Entropy and Algorithms: Applications in Sorting and Weighing
Covers the application of entropy in algorithms, focusing on sorting and decision-making strategies.