This well-organized book, now in its second edition, discusses the fundamentals of various data structures using C as the programming language. Beginning with the basics of C, the discussion moves on to describe Pointers, Arrays, Linked lists, Stacks, Queues, Trees, Heaps, Graphs, Files, Hashing, and so on that form the base of data structure. It builds up the concept of Pointers in a lucid manner with suitable examples, which forms the crux of Data Structures. Besides updated text and additional multiple choice questions, the new edition deals with various classical problems such as 8-queens problem, towers of Hanoi, minesweeper, lift problem, tic-tac-toe and Knapsack problem, which will help students understand how the real-life problems can be solved by using data structures. The book exhaustively covers all important topics prescribed in the syllabi of Indian universities/institutes, including all the Technical Universities and NITs. Primarily intended as a text for the undergraduate students of Engineering (Computer Science/Information Technology) and postgraduate students of Computer Application (MCA) and Computer Science (M.Sc.), the book will also be of immense use to professionals engaged in the field of computer science and information technology. Key Features • Provides more than 160 complete programs for better understanding. • Includes over 470 MCQs to cater to the syllabus needs of GATE and other competitive exams. • Contains over 500 figures to explain various algorithms and concepts. • Contains solved examples and programs for practice. • Provides companion CD containing additional programs for students’ use.

Based on the tenet that good habits are formed early, the authors consistently emphasize the principles of structured programming and software engineering. Every complete programme uses a consistent style and as programmes are analyze, styles and standards are further explained.

This second edition expands upon the solid, practical foundation established in the first edition of the text. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.

A Practical Approach to Data Structure and Algorithm with Programming in C discusses about how data structure and algorithm plays out with programming in C. This book comprises topics such as algorithm writing and array. This book sheds light on topics such as searching algorithms, searching algorithms and heap & heap sort in terms of data structure. Readers have also provided insights about basic as well as advanced level information about types of arrays, space complexity of recursive algorithm and primitive operations on array. There is also a discussion about the applications and implementation of the above-mentioned factors in this book.

Implementations, as well as interesting, real-world examples of each data structure and algorithm, are shown in the text. Full source code appears on the accompanying disk.

Introduction -- Array-based lists -- Linked lists -- Skiplists -- Hash tables -- Binary trees -- Random binary search trees -- Scapegoat trees -- Red-black trees -- Heaps -- Sorting algorithms -- Graphs -- Data structures for integers -- External memory searching.

Advanced Data Structures presents a comprehensive look at the ideas, analysis, and implementation details of data structures as a specialized topic in applied algorithms. Data structures are how data is stored within a computer, and how one can go about searching for data within. This text examines efficient ways to search and update sets of numbers, intervals, or strings by various data structures, such as search trees, structures for sets of intervals or piece-wise constant functions, orthogonal range search structures, heaps, union-find structures, dynamization and persistence of structures, structures for strings, and hash tables. This is the first volume to show data structures as a crucial algorithmic topic, rather than relegating them as trivial material used to illustrate object-oriented programming methodology, filling a void in the ever-increasing computer science market. Numerous code examples in C and more than 500 references make Advanced Data Structures an indispensable text. topic. Numerous code examples in C and more than 500 references make Advanced Data Structures an indispensable text.

Learn the fundamentals of Data Structures through C++ DESCRIPTION There are two major hurdles faced by anybody trying to learn Data Structures : Most books attempt to teach it using algorithms rather than complete working programs. A lot is left to the imagination of the reader, instead of explaining it in detail. This is a different Data Structures book. It uses C++ language to teach Data Structures. Secondly, it goes far beyond merely explaining how Stacks, Queues and Linked Lists work. The readers can actually experience (rather than imagine) sorting of an array, traversing of a doubly-linked list, construction of a binary tree, etc. through carefully crafted animations that depict these processes. All these animations are available on the Downloadable DVD. In addition, it contains numerous carefully-crafted figures, working programs and real-world scenarios where different data structures are used. This would help you understand the complicated operations being performed on different data structures easily. Add to that the customary lucid style of Yashavant Kanetkar and you have a perfect Data Structures book in your hands. KEY FEATURES ¥Ê Ê Ê Strengthens the foundations, as a detailed explanation of concepts are givenÊ ¥Ê Ê Ê Focuses on how to think logically to solve a problem ¥Ê Ê Ê Algorithms used in the book are well explained and illustrated step by step ¥Ê Ê Ê Help students in understanding how data structures are implemented in programs Ê WHAT WILL YOU LEARN ÊÊÊAnalysis of Algorithms, Arrays, Linked Lists, Sparse Matrices ÊÊÊStacks, Queues, Trees, Graphs, Searching and Sorting Ê WHO THIS BOOK IS FOR Students, Programmers, researchers, and software developers who wish to learn the basics of Data structures. Table of Contents 1. Analysis of Algorithms 2. Arrays 3. Linked Lists 4. Sparse Matrices 5. Stacks 6. Queues 7. Trees 8. Graphs 9. Searching and Sorting

The design and analysis of efficient data structures has long been recognized as a key component of the Computer Science curriculum. Goodrich, Tomassia and Goldwasser's approach to this classic topic is based on the object-oriented paradigm as the framework of choice for the design of data structures. For each ADT presented in the text, the authors provide an associated Java interface. Concrete data structures realizing the ADTs are provided as Java classes implementing the interfaces. The Java code implementing fundamental data structures in this book is organized in a single Java package, net.datastructures. This package forms a coherent library of data structures and algorithms in Java specifically designed for educational purposes in a way that is complimentary with the Java Collections Framework.

Gain a better understanding of pointers, from the basics of how pointers function at the machine level, to using them for a variety of common and advanced scenarios. This short contemporary guide book on pointers in C programming provides a resource for professionals and advanced students needing in-depth hands-on coverage of pointer basics and advanced features. It includes the latest versions of the C language, C20, C17, and C14. You’ll see how pointers are used to provide vital C features, such as strings, arrays, higher-order functions and polymorphic data structures. Along the way, you’ll cover how pointers can optimize a program to run faster or use less memory than it would otherwise. There are plenty of code examples in the book to emulate and adapt to meet your specific needs. What You Will Learn Work effectively with pointers in your C programming Learn how to effectively manage dynamic memory Program with strings and arrays Create recursive data structures Implement function pointers Who This Book Is For Intermediate to advanced level professional programmers, software developers, and advanced students or researchers. Prior experience with C programming is expected.