Dmytro's study of software engineering, particularly software economics and developer productivity, influenced this book's emphasis on simplicity and preference for solution methods applicable to a variety of problems.--back cover

This book constitutes the refereed proceedings of the 7th International Workshop on Algorithms and Data Structures, WADS 2001, held in Providence, RI, USA in August 2001. The 40 revised full papers presented were carefully reviewed and selected from a total of 89 submissions. Among the topics addressed are multiobjective optimization, computational graph theory, approximation, optimization, combinatorics, scheduling, Varanoi diagrams, packings, multi-party computation, polygons, searching, etc.

Understand the basics and concepts of Data StructureKey features This book is especially designed for beginners, explains all basics and concepts about data structure. Source code of all programs are given in C language. Important data structure like Stack, Queue, Linked list, Trees and Graph are well explained. Solved example, frequently asked questions in the examinations are given which will serve as a useful reference source. Effective description of sorting algorithms (Quick Sort, Heap Sort, Merge Sort etc.) Description This book is specially designed to serve as textbook for the students of various streams such as PGDCA, B.Tech./B.E., BCA, B.Sc., M.Tech./M.E., MCA, MS and cover all the topics of Data Structures.The subject data structure is of prime importance for all the students of Computer Science and IT. It is a practical approach for understanding the basics and concepts of data structure. All the concepts are implemented in C language in an easy manner. To make clarity on the topic; diagrams, examples, algorithms and programs are given throughout the book. What will you learn New features and essential of Algorithms and Arrays. Linked List, its type and implementation. Stacks and Queues Trees and Graphs Searching and Sorting Who this book is forThis book is useful for all the students of B. Tech, B.E., MCA, BCA, B.Sc. (Computer Science), and so on. Person with basic knowledge in this field can understand the concept from the beginning of the book itself. Table of contents1. Algorithms and Flowchart2. Algorithm Analysis3. Introduction to Data Structure4. Function and Recursion5. Arrays and Pointers6. Strings7. Stacks8. Queues9. Linked lists10. Trees11. Graph12. Searching 13. Sorting14. HashingAbout the authorBrijesh Bakariya working as an Assistant Professor in Department of Computer Science and Engineering. I.K. Gujral Punjab Technical University (IKGPTU) Jalandhar (Punjab) has done his Ph.D. from Maulana Azad National Institute of Technology (NIT-Bhopal), Madhya Pradesh and MCA from Devi Ahilya Vishwavidyalaya, Indore (Madhya Pradesh) in Computer Applications. He has been teaching since 2009 and guiding M.Tech/ Ph.D students. He has also published many research papers in the area of Data Mining and Image Processing

Book with a practical approach for understanding the basics and concepts of Data Structure DESCRIPTION Book gives full understanding of theoretical topic and easy implementation of data structures through C. The book is going to help students in self-learning of data structures and in understanding how these concepts are implemented in programs.Ê Algorithms are included to clear the concept of data structure. Each algorithm is explained with figures to make student clearer about the concept. Sample data set is taken and step by step execution of algorithm is provided in the book to ensure the in Ð depth knowledge of students about the concept discussed. KEY FEATURES This book is especially designed for beginners, explains all basics and concepts about data structure.Ê Source code of all data structures are given in C language. Important data structures like Stack, Queue, Linked List, Tree and Graph are well explained. Solved example, frequently asked in the examinations are given which will serve as a useful reference source.Ê Effective description of sorting algorithm (Quick Sort, Heap Sort, Merge Sort etc.) WHAT WILL YOU LEARN _ New features and essential of Algorithms and Arrays. _ Linked List, its type and implementation. _ Stacks and Queues _ Trees and Graphs _ Searching and Sorting _ Greedy method _ Beauty of Blockchain WHO THIS BOOK IS FOR This book is specially designed to serve as textbook for the students of various streams such as PGDCA, B.Tech. /B.E., BCA, BSc M.Tech. /M.E., MCA,ÊMS and cover all the topics of Data Structure. The subject data structure is of prime importance for the students of Computer Science and IT. It isÊÊpractical approach for understanding the basics and concepts of data structure. All the concepts are implemented in C language in an easy manner.ÊÊTo make clarity on the topic, diagrams, examples and programs are given throughout the book. Table of Contents 1. Algorithm and Flowcharts 2. Algorithm Analysis 3. Introduction to Data structure 4. Functions and Recursion 5. Arrays and Pointers 6. String 7. Stack 8. Queues 9. Linked Lists 10. Trees 11. Graphs 12. Searching 13. SortingÊ 14. Hashing

This book constitutes the refereed proceedings of the 18th International Symposium on Algorithms and Data Structures, WADS 2023, held during July 31-August 2, 2023. The 47 regular papers, presented in this book, were carefully reviewed and selected from a total of 92 submissions. They present original research on the theory, design and application of algorithms and data structures.

This book constitutes the refereed proceedings of the 16th International Symposium on Algorithms and Data Structures, WADS, 2019, held in Edmonton, AB, Canada, in August 2019. The 42 full papers presented together with 3 invited lectures, we carefully reviewed and selected from a total of 88 submissions. They present original research on the theory and application of algorithms and data structures in many areas, including combinatorics, computational geometry, databases, graphics, and parallel and distributed computing.

Creating robust software requires the use of efficient algorithms, but programmers seldom think about them until a problem occurs. Algorithms in a Nutshell describes a large number of existing algorithms for solving a variety of problems, and helps you select and implement the right algorithm for your needs -- with just enough math to let you understand and analyze algorithm performance. With its focus on application, rather than theory, this book provides efficient code solutions in several programming languages that you can easily adapt to a specific project. Each major algorithm is presented in the style of a design pattern that includes information to help you understand why and when the algorithm is appropriate. With this book, you will: Solve a particular coding problem or improve on the performance of an existing solution Quickly locate algorithms that relate to the problems you want to solve, and determine why a particular algorithm is the right one to use Get algorithmic solutions in C, C++, Java, and Ruby with implementation tips Learn the expected performance of an algorithm, and the conditions it needs to perform at its best Discover the impact that similar design decisions have on different algorithms Learn advanced data structures to improve the efficiency of algorithms With Algorithms in a Nutshell, you'll learn how to improve the performance of key algorithms essential for the success of your software applications.