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Lecture
Hashing & Sorting
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Related lectures (27)
Merge Sort: Sorting Algorithm
Explains the merge sort algorithm, its correctness, and time complexity compared to other sorting algorithms.
Hashing and Quick Sort
Covers the efficient implementation of hash tables and the Quick Sort algorithm.
Optimization Algorithms: Greedy Approach
Explores optimization problems and greedy algorithms for efficient decision-making.
Sorting Algorithms: Selection and Insertion
Introduces selection and insertion sorting algorithms, explaining their correctness and time complexity.
Introduction to Algorithms: Course Overview and Basics
Introduces the CS-250 Algorithms course, covering its structure, objectives, and key topics in algorithmic problem-solving.
Recursive Sorting: Merge Sort
Covers the concept of Merge Sort, a highly efficient recursive sorting algorithm.
Recursive Sorting: Merge Sort
Explains recursive sorting using Merge Sort and its linearithmic complexity.
Merge Sort: Divide and Conquer
Explores the Merge Sort algorithm, applying the Divide and Conquer approach to sorting arrays efficiently.
Sorting Algorithms: Sorting Methods and Comparison
Explores sorting methods, insertion sort, and algorithm comparison for efficient data organization.
Recursive Sorting: Merge Sort
Covers the concept of Merge Sort, a recursive sorting algorithm that divides a list into sublists until each sublist has one element.
Parallel Sorting: Merge Sort Algorithm
Covers the implementation of a parallel merge sort algorithm in Scala, comparing its performance with quicksort.
Lists: Fundamental Data Structure in Functional Programming
Covers the syntax, differences, constructors, operations, patterns, sorting, and complexity of lists in functional programming.
Hashing and Sorting
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Covers hashing, sorting, extendible hashing, linear hashing, and external sorting.
Hashing and Sorting Techniques in Database Systems
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Provides an overview of hashing and sorting techniques in database management systems, focusing on their implementation and performance optimization.
Algorithms in Computer Science: Search and Sort Techniques
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Provides an overview of essential search and sort algorithms in computer science.
Tree-Structured Indexing: B+ Trees Explained
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Covers B+ Trees, a key data structure for efficient indexing in databases.
Derivatives, O-Notation
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Explores derivatives, O-Notation, extrema, and algorithm complexity in Analysis 1.
Merge Sort: Divide-and-Conquer
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Introduces Merge Sort, a divide-and-conquer algorithm for efficient array sorting, discussing correctness, runtime analysis, linear-time merging, and recurrence solving techniques.
Merge Sort: Divide and Conquer
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Introduces growth of functions, sorting problem, insertion sort, computational model, and merge sort.
Insertion Sort: Basics and Analysis
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Introduces Insertion Sort, explaining its basics, insertion process, and correctness analysis.
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