Data Structures & Algorithms are fundamental concepts in computer science that deal with organizing, storing, and manipulating data efficiently. Data structures (e.g., arrays, linked lists, trees, graphs) provide ways to manage and access data, while algorithms are step-by-step procedures for solving problems or performing computations (e.g., sorting, searching, optimization). Together, they form the backbone of software development, enabling efficient problem-solving, performance optimization, and scalable solutions in programming and real-world applications.
40 questions and answers
How insertion sort and selection sorts are different?
Both sorting techniques maintains two sub-lists, sorted and unsorted and both take one element at a time and places it into sorted sub-list.
What is a Judy array?
Judy array is a complex but very fast associative array data structure for storing and looking up values using integer or string keys. Unlike normal arrays, Judy arrays may be sparse;
What is the benefit of using arrays of pointers instead of several pointer variables?
The benefit of using arrays of pointers is that you can use a for loop
What is a minimum spanning tree ? Describe Huffman’s Algorithm.
A spanning tree of a graph is just a subgraph that contains all the vertices and is a tree. Huffman’s algorithm is a method for building an extended binary tree with a minimum weighted path length from a set of given weights.
What are the differences between AVL Tree & Binary Search Tree ?
A binary search tree (BST) is a binary tree data structure which has the following properties: ->each node has a value;
Find the time complexity of Binary Search Algorithm.
In binary search each step of the algorithm divides the list of items being searched in half of the list. So we can say that
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