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Data Structures and Algorithms Implementation through C

Author: Dr. Brijesh Bakariya
Publisher: BPB Publications
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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. 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 – 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. 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. 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, MS 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 is 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 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. Sorting 14. Hashing


Data Structures And Algorithms

Author: N.A.Deshpande S.S.Sane
Publisher: Technical Publications
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Fundamental ConceptsData Structures : Data, Data objects, Data types, Abstract Data Types (ADT) and Data structure, Concept of primitive and non primitive, Linear and non-linear, Static and dynamic, Persistent and ephemeral data structures,Introduction to algorithms : Definition and characteristics of an algorithm, Algorithm design.Tools : Flowcharts and pseudo code, Notations : Algorithm Header, Purpose, Conditions and return, Statements, Statement numbers, Variables, Comments, Statement constructs : Sequence, Selection, Loops and sub-algorithms.Program development : Analysis design, Coding, Testing and verification.Linear Data Structures using Sequential OrganizationConcept of sequential organization, Arrays as ADT, Storage representation of array (row major and column major). Representation of polynomials using arrays, Representation of sparse matrix, Addition, Transpose and fast transpose of sparse matrix, Time and space complexity analysis for simple and fast transpose for sparse matrix.Stacks Fundamentals, Stacks as ADT, Representation and implementation of stack using arrays, Applications of stack : Expression evaluation and conversion, Reversing a string, Parsing : Well-form parenthesis, Decimal to binary conversion, Representation of multiple stacks using single array.Recursion : Definition, Writing recursive functions, How recursion works ? Simulating recursion using stack.QueuesFundamentals, Queue as ADT, Representation and implementation of queue using arrays, Circular queue : Representation and implementation, Applications of queue : Josephus problem, Job scheduling, Queue simulation, Categorizing data, Doubly ended queue, Representation of multiple queues using single array, Priority queue.Searching and SortingSearching : Sequential, Binary and index sequential search.Sorting : General concepts : Sort order, Sort stability, Efficiency and passes, Bubble sort, Selection sort, Insertion sort, Shell, Radix, Quick and merge sort.Algorithm Analysis and StrategiesAlgorithm analysis : Time complexity : Real time and frequency count, Big 'O' and notations, Space complexity : Compile-time and run-time, Best, Average and worst cases. Algorithmic strategies : Use and the peculiar characteristics of each type, Divide and conquer (Quick sort/Tower of Hanoi), Backtracking (Eight queens problem), Greedy (Job scheduling with deadlines), Dynamic programming (Example triangulation problem) (Implementation not expected for all the examples).Programming Laboratory


An Introduction to Data Structures and Algorithms

Author: J.A. Storer
Publisher: Springer Science & Business Media
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Data structures and algorithms are presented at the college level in a highly accessible format that presents material with one-page displays in a way that will appeal to both teachers and students. The thirteen chapters cover: Models of Computation, Lists, Induction and Recursion, Trees, Algorithm Design, Hashing, Heaps, Balanced Trees, Sets Over a Small Universe, Graphs, Strings, Discrete Fourier Transform, Parallel Computation. Key features: Complicated concepts are expressed clearly in a single page with minimal notation and without the "clutter" of the syntax of a particular programming language; algorithms are presented with self-explanatory "pseudo-code." * Chapters 1-4 focus on elementary concepts, the exposition unfolding at a slower pace. Sample exercises with solutions are provided. Sections that may be skipped for an introductory course are starred. Requires only some basic mathematics background and some computer programming experience. * Chapters 5-13 progress at a faster pace. The material is suitable for undergraduates or first-year graduates who need only review Chapters 1 -4. * This book may be used for a one-semester introductory course (based on Chapters 1-4 and portions of the chapters on algorithm design, hashing, and graph algorithms) and for a one-semester advanced course that starts at Chapter 5. A year-long course may be based on the entire book. * Sorting, often perceived as rather technical, is not treated as a separate chapter, but is used in many examples (including bubble sort, merge sort, tree sort, heap sort, quick sort, and several parallel algorithms). Also, lower bounds on sorting by comparisons are included with the presentation of heaps in the context of lower bounds for comparison-based structures. * Chapter 13 on parallel models of computation is something of a mini-book itself, and a good way to end a course. Although it is not clear what parallel


Data Structures And Algorithms

Author: A.A.Puntambekar
Publisher: Technical Publications
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Data Structures and Algorithms in C

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Publisher: Tata McGraw-Hill Education
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Data Structures and Algorithms in C

Author: Yujing He
Publisher: CreateSpace
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Data structure is a way to represent the storage and the organization of data in the computer for programming languages to easily access the data and process the data within. There are several kinds of data structures that are very commonly used: Array, List, Queue, Stack, Binary Tree, and Set that we will discuss here. Different data structure has its own characteristics. These data structures are used in most programming languages. Here we will use the C++ language to represent those data structures and see how to use them.


Data Structures and Algorithms 1

Author: K. Mehlhorn
Publisher: Springer Science & Business Media
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The design and analysis of data structures and efficient algorithms has gained considerable importance in recent years. The concept of "algorithm" is central in computer science, and "efficiency" is central in the world of money. I have organized the material in three volumes and nine chapters. Vol. 1: Sorting and Searching (chapters I to III) Vol. 2: Graph Algorithms and NP-completeness (chapters IV to VI) Vol. 3: Multi-dimensional Searching and Computational G- metry (chapters VII and VIII) Volumes 2 and 3 have volume 1 as a common basis but are indepen dent from each other. Most of volumes 2 and 3 can be understood without knowing volume 1 in detail. A general kowledge of algorith mic principles as laid out in chapter 1 or in many other books on algorithms and data structures suffices for most parts of volumes 2 and 3. The specific prerequisites for volumes 2 and 3 are listed in the prefaces to these volumes. In all three volumes we present and analyse many important efficient algorithms for the fundamental computa tional problems in the area. Efficiency is measured by the running time on a realistic model of a computing machine which we present in chapter I. Most of the algorithms presented are very recent inven tions; after all computer science is a very young field. There are hardly any theorems in this book which are older than 20 years and at least fifty percent of the material is younger than 10 years.


Data Structures and Algorithms in Java

Author: Adam Drozdek
Publisher: Cengage Learning
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Using the Java programming language, author Adam Drozdek highlights three important aspects of data structures and algorithms. First, the book places special emphasis on the connection between data structures and their algorithms, including an analysis of the algorithms' complexity. Second, the book presents data structures in the context of object-oriented program design, stressing the principle of information hiding in its treatment of encapsulation and decomposition. Finally, the book closely examines data structure implementation. Overall, this practical and theoretical book prepares students with a solid foundation in data structures for future courses and work in design implementation, testing, or maintenance of virtually any software system. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.


Advanced Data Structures and Algorithms

Author: A.A.Puntambekar
Publisher: Technical Publications
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C++ class overview - Class definition, Objects, Class members, Access control, Class scope, Constructors and destructors, Parameter passing methods, Inline functions, Static class members, This pointer, Friend functions, Dynamic memory allocation and deallocation (new and delete), Exception handling. Function overloading, Operator overloading, Generic programming - Function and class templates, Inheritance basics, Base and derived classes, Inheritance types, Base class access control, Runtime polymorphism using virtual functions, Abstract classes, Streams I/O. Algorithms, Performance analysis-time complexity and space complexity, O-notation, Omega notation and Theta notation, Review of basic data structures - The list ADT, Stack ADT, Queue ADT, Implementation using template classes in C++, Sparse matrix representation. Dictionaries, Linear list representation, Skip list representation, Operations - Insertion, Deletion and searching, Hash table representation, Hash functions, Collision resolution-separate chaining, Open addressing-linear probing, Quadratic probing, Double hashing, Rehashing, Extendible hashing, Comparison of hashing and skip lists. Priority queues - Definition, ADT, Realizing a priority queue using heaps, Definition, Insertion, Deletion, Application-Heap sort, External sorting - Model for external sorting, Multiway merge, Polyphase merge. Search trees (Part I) : Binary search trees, Definition, ADT, Implementation, Operations-searching, Insertion and deletion, Balanced search trees - AVL trees, Definition, Height of an AVL tree, Representation, Operations-insertion, Deletion and searching. Search trees (Part II) : Red - Black trees and splay trees, B-Trees-B-Tree of order m, Height of a B-Tree, Insertion, Deletion and searching, Comparison of search trees.Divide and Conquer-General method, Applications - Binary search, Merge sort, Quick sort, Strassen s matrix multiplication. Efficient non recursive tree traversal algorithms, Biconnected components. Disjoint set operations, Union and find algorithms. Greedy method and Dynamic programming : General method (Greedy), Minimum cost spanning trees, Job sequencing with deadlines, General method (Dynamic programming), Optimal binary search trees, 0/1 Knapsack problem, Ordering matrix multiplications.


Data Structures And Algorithms

Author: Harry. H. Chaudhary.
Publisher: Programmers Mind LLC New York.
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Features of Book - Essential Data Structures Skills -- Made Easy! All Code/Algo written in C Programming. || Learn with Fun strategy. Anyone can comfortably follow this book to Learn DSA Step By Step. Unique strategy- Concepts, Problems, Analysis, Questions, Solutions. Why This Book - This book gives a good start and complete introduction for data structures and algorithms for Beginner’s. While reading this book it is fun and easy to read it. This book is best suitable for first time DSA readers, Covers all fast track topics of DSA for all Computer Science students and Professionals. Learn all Concept’s Clearly with World Famous Programmer Harry Chaudhary. Main Objective - Data structures is concerned with the storage, representation and manipulation of data in a computer. In this book, we discuss some of the more versatile and popular data structures used to solve a variety of useful problems. Among the topics are linked lists, stacks, queues, trees, graphs, sorting and hashing. What Special - Data Structures & Algorithms Using C or C++ takes a gentle approach to the data structures course in C Providing an early, text gives students a firm grasp of key concepts and allows those experienced in another language to adjust easily. Flexible by design,. Finally, a solid foundation in building and using abstract data types is alsoprovided. Using C, this book develops the concepts & theory of data structures and algorithm analysis in a gradual, step-by-step manner, proceeding from concrete examples to abstract principles. Standish covers a wide range of both traditional and contemporary software engineering topics. This is a handy guide of sorts for any computer science Students, This book is a solution bank for various problems related to data structures and algorithms. It can be used as a reference manual by Computer Science Engineering students. This Book also covers all aspects of CS, IT. Special Note: Digital Pdf Edition || Epub Edition is Available on Google Play & Books. less