
Introduction to Data Structures and Algorithms
Explore arrays as a linear non primitive data structure that stores homogeneous items at consecutive memory locations, using 0-based indexing, and the concepts of declaration, definition, and size (subscript).
Learn insertion and deletion in a C++ linked list, including insertions at first, last, and between nodes, and deletions of first, last, or middle elements.
Learn the stack data structure, its LIFO behavior, and push and pop operations from the top. Understand capacity limits and how FILO and LIFO govern element order.
Explore the queue data structure, where insertion occurs at the rear and deletion at the front under the FIFO principle, contrasting with stacks.
Explore the tree data structure, its nodes and edges, root and leaf concepts, and how general trees, binary trees, and binary search trees enforce hierarchy and parent-child rules.
Explore graphs as a non-linear data structure of vertices and edges, and distinguish directed and undirected graphs while recognizing the role of weights in weighted graphs.
Learn linear (sequential) search, traversing arrays or lists from the first element to locate a target and report its index or absence.
Explore the time and space complexity of the linear search algorithm, focusing on Big O notation, best, average, and worst cases, and the role of a counter variable.
Implement binary search in C++ using a bottom-up approach with main as the entry point and a statically initialized array. Search 3 shows index 1; 45 is not found (-1).
This is the end of Basics Of Data Structures and Algorithms.
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Search Algorithms are Discussed by following the below sequence :
i) Example ,
ii) then their algorithms ,
iii) their line by line coding explained using C++
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v) Discussion related to Time and Space trade off.
Course Contents
Arrays
Linked List
Stack
Queues
Trees
Graphs
Search Algorithm
Implementation of search algorithm
Analysis of Complexity of Search Algorithm
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