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Related lectures (21)
Complexity & Induction: Algorithms & Proofs
Covers worst-case complexity, algorithms, and proofs including mathematical induction and recursion.
Merge Sort: Sorting Algorithm
Explains the merge sort algorithm, its correctness, and time complexity compared to other sorting algorithms.
Sous-algorithmes
MOOC: Information, Computation, Communication: Introduction to computational thinking
Introduces sub-algorithms and the insertion sort algorithm with a focus on pre-sorted elements.
Sorting Algorithms: Selection and Insertion
Introduces selection and insertion sorting algorithms, explaining their correctness and time complexity.
Dynamic Programming: Palindromic Subsequences
Explores dynamic programming for palindromic subsequences, merging binary search trees, and finding the median of two sorted arrays.
Optimization Algorithms: Greedy Approach
Explores optimization problems and greedy algorithms for efficient decision-making.
Merge Sort: Divide and Conquer
Explores the Merge Sort algorithm, applying the Divide and Conquer approach to sorting arrays efficiently.
Algorithm Design: Divide and Conquer
Covers recursion, dynamic programming, and algorithm design using divide and conquer strategies.
Complexity & Induction: Algorithms & Proofs
Explores worst-case complexity, mathematical induction, and algorithms like binary search and insertion sort.
Algorithm Complexity Analyses
Covers the complexity analyses of algorithms and their worst-case time complexities.
Sorting Algorithms: Sorting Methods and Comparison
Explores sorting methods, insertion sort, and algorithm comparison for efficient data organization.
Calcul and Algorithms: What is an Algorithm?
Covers the basics of algorithms in computer science, including their formalization and complexity.
Search Algorithms: Dichotomy Search
Explores dichotomy search algorithms, analyzing complexity and implementation details for efficient searching in sorted lists.
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Algorithms in Computer Science: Search and Sort Techniques
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Provides an overview of essential search and sort algorithms in computer science.
Analysis of Algorithms
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Covers the analysis of algorithms, focusing on insertion sort and computational models.
Transferable Skills in Student Engineering Projects
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Delves into the development of transferable skills in student engineering projects, emphasizing interdisciplinary collaboration, project management, and ethical sensitivity.
Merge Sort: Divide, Conquer, Combine
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Explores Merge Sort, a sorting algorithm that divides, conquers, and combines arrays efficiently to achieve O(nlog n) time complexity.
Insertion Sort: Basics and Analysis
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Introduces Insertion Sort, explaining its basics, insertion process, and correctness analysis.
Fate and Behavior of Organic Contaminants
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Explores the fate of organic contaminants in water, covering removal processes, key parameters, and environmental compartments.
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