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Programming Concepts
Unit 1
Object-Oriented Programming (OOPs)
Introduction to OOPs
Classes and Objects
Inheritance and Polymorphism
Unit 2
Data Structure and Algorithms
Introduction to Data Structures
Arrays and Linked Lists
Sorting and Searching Algorithms
Unit 3
Operating System
Introduction to Operating System
Process Management in Operating System
Memory Management in Operating System
File Systems in Operating System
Unit 4
Database Management
Introduction to Databases
Database Design and Modeling
Query Optimization and Performance Tuning
Unit 2 • Chapter 3
Sorting and Searching Algorithms
Summary
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Concept Check
What is an advantage of using merge sort over quick sort?
Fastest sorting algorithm, in-place sorting, O(n log n) in worst case.
Average-case O(n log n) time complexity, in-place sorting, stable sorting.
Stable sorting, guarantees O(n log n) time complexity.
Highly efficient for large datasets, stable sorting, worst-case O(n^2).
What is the time complexity of selection sort?
O(n log n) on average, not suitable for large datasets, in-place sorting.
O(n^2) in all cases, not suitable for large datasets.
Guaranteed O(n log n) time complexity, stable sorting, not in-place sorting.
O(n^2) in all cases, not suitable for large datasets, in-place sorting.
Which algorithm is efficient for sorting large datasets with duplicates?
Merge sort, stable sorting, not efficient for large datasets.
Bubble sort, slowest sorting algorithm, O(n^2) in worst case.
Quick sort, efficient for small datasets, worst-case O(n^2), not stable sorting.
Radix sort, suitable for integers and strings.
What data structure is commonly used for searching in sorted arrays?
Hash table, O(1) time complexity for searching, not for sorted arrays.
Binary search, O(log n) time complexity.
Linear search, O(n) time complexity, suitable for unsorted arrays.
Linked list, O(n) time complexity for searching, not for sorted arrays.
Which search algorithm is used for unsorted arrays and lists?
Hashing, O(1) time complexity, not suitable for arrays and lists.
Linear search, O(n) time complexity.
Jump search, O(√n) time complexity, not efficient for small arrays.
Binary search, O(log n) time complexity, suitable for sorted arrays.
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Arrays and Linked Lists