MASTERING DATA STRUCTURES AND ALGORITHMS (1).pdf
- 1. Presented by: ANIK BHATTACHARYA Roll No.: 2005849 MASTERING DATA STRUCTURES AND ALGORITHMS KIIT UNIVERSITY
- 2. ABOUT THIS COURSE Abdul Bari is the Instructor of this course, He has been teaching this course to all students for a long period of time, he knows the pulse of students very well, he knows how to present the topic so that it’s easy to grasp for students. TOOLS: Visual Studio Code
- 3. INTRODUCTION Data Structures and Algorithms, is a fundamental subject in computer science. It focuses on organizing data efficiently using data structures and designing step-by-step procedures called algorithms to solve computational problems. DSA helps in optimizing software performance, memory usage, and scalability. It is crucial for software development, coding interviews, and competitive programming
- 4. Classification of Data Structure
- 5. ARRAY An array is a fundamental data structure used in computer science to store a collection of elements of the same type. It provides a contiguous block of memory where elements are stored in a sequential manner. The main advantage of arrays is their constant-time access to any element. Given an index, the element can be directly accessed using simple pointer arithmetic.
- 6. A queue is a linear data structure that follows the "first-in, first-out" (FIFO) principle. It represents a collection of elements in which new elements are added at the rear (enqueue) and existing elements are removed from the front (dequeue). Advantage of Queues that it maintain the order of elements based on their arrival time, making them suitable for scenarios that require a "first-in, first-out" (FIFO) processing approach also provide efficient operations for adding elements to the rear and removing elements from the front, making them ideal for managing tasks or requests in a sequential manner. QUEUE
- 7. A stack is a fundamental data structure in computer science that follows the "last-in, first-out" (LIFO) principle. It represents a collection of elements in which new elements are added at the top (push) and existing elements are removed from the top (pop). Stacks offer simplicity, efficiency, and convenient access to the most recently added elements. They provide an intuitive and efficient way to handle sequential data processing, making them an essential tool in many programming tasks. STACK
- 8. A linked list is a data structure commonly used in computer science to store and organize data. It consists of a sequence of nodes, where each node contains two components: the data itself and a reference (or link) to the next node in the sequence. There are various types of linked lists, including singly linked lists, doubly linked lists, and circular linked lists. The main advantage of linked lists is their ability to efficiently insert and delete elements at any position, unlike arrays that require shifting elements. LINKED LIST
- 9. A tree is a hierarchical data structure composed of nodes that are connected by edges. It represents a branching structure where each node can have zero or more child nodes, except for the root node that has no parent. Trees support various operations, including traversing the tree (pre-order, in-order, and post-order), searching for a specific node or value, inserting new nodes, deleting nodes, and performing tree-related algorithms such as tree balancing or path finding. TREE
- 10. A graph is a non-linear data structure composed of nodes (vertices) connected by edges. It is used to represent relationships between objects or entities. Graphs consist of two main components: nodes and edges. Graphs have a wide range of applications in various domains, including computer science, social networks, transportation networks, recommendation systems, and data analysis. They are used to model and solve problems that involve relationships, connectivity, paths, and optimizations. GRAPH GRAPH
- 11. CONCLUSION In conclusion, data structures and algorithms are fundamental components of computer science and software development. Data structures provide efficient ways to organize, store, and manipulate data, while algorithms define step-by-step procedures to solve specific problems or perform computations. The choice of data structure and algorithm depends on the problem at hand and the desired trade-offs between time efficiency, space usage, and simplicity. It requires careful analysis and consideration of the problem's requirements and constraints.