Introduction To Algorithms Data Structures 1
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Introduction to Algorithms & Data Structures, 1
Author: Bolakale Aremu
language: en
Publisher: Ojula Technology Innovations
Release Date: 2025-01-07
What You Will Learn & How to Get Help. The design of an efficient algorithm for the solution of the problem calls for the inclusion of appropriate data structures. In the field of computer science, data structures are used to store and organize data in a way that is easy to understand and use. They are used to organize and represent data in a way that will make it easier for computers to retrieve and analyze it. These are the fundamental building blocks that any programmer must know how to use correctly in order to build their own programs. Benefits of learning about algorithms and data structures First, they will help you become a better programmer. Another benefit is that they will make you think more logically. Furthermore, they can help you design better systems for storing and processing data. They also serve as a tool for optimization and problem-solving. As a result, the concepts of algorithms and data structures are very valuable in any field. For example, you can use them when building a web app or writing software for other devices. You can apply them to machine learning and data analytics, which are two hot areas right now. If you are a hacker, algorithms and data structures in Python are also important for you everywhere. Now, whatever your preferred learning style, I've got you covered. If you're a visual learner, you'll love my clear diagrams and illustrations throughout this book. If you're a practical learner, you'll love my hands-on lessons so that you can get practical with algorithms and data structures and learn in a hands-on way.
Fundamentals of Data Structures
Author: Anuradha A. Puntamberkar
language: en
Publisher: Technical Publications
Release Date: 2020-12-01
The book has been developed to provide comprehensive and consistent coverage of both the concepts of data structures as well as implementation of these concepts using Python and C++ language. The book utilizes a systematic approach wherein each data structure is explained using examples followed by its implementation using suitable programming language. It begins with the introduction to data structures and algorithms. In this, an overview of various types of data structures is given and asymptotic notations, best case, worst case and average case time complexity is discussed. This part is concluded by discussing the two important algorithmic strategies such as - divide and conquer and greedy method. The book then focuses on the linear data structures such as arrays in which types of arrays, concept of ordered list, implementation of polynomial using arrays and sparse matrix representation and operations are discussed. The implementation of these concepts is using Python and C++ programming language. Then searching and sorting algorithms, their implementation and time complexities are discussed. The sorting and searching methods are illustrated systematically with the help of examples. The book then covers the linear data structures such as linked list, stacks and queues. These data structures are very well explained with the help of illustrative diagrams, examples and implementations. The explanation in this book is in a very simple language along with clear and concise form which will help the students to have clear-cut understanding of the subject.
Introduction to Algorithms
This edition has been revised and updated throughout. It includes some new chapters. It features improved treatment of dynamic programming and greedy algorithms as well as a new notion of edge-based flow in the material on flow networks.--[book cover].