Download or read book Generic Algorithms and Data Structures Using C 11 written by Sergei Nakariakov and published by Createspace Independent Pub. This book was released on 2013-04-01 with total page 564 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book contains implementation of generic algorithms and data structures using C++11. I Type Traits 1 Type Functions 2 Extended Function Traits 3 Integer Traits 4 Associated Member Types 5 Member pointers 6 Overloadable operators 7 Reference Traits 8 Type Traits 8.1 All 8.2 Assignable 8.3 Common 8.4 Convertible 8.5 Derived 8.6 Float 8.7 Function 8.8 Identity 8.9 Integer 8.10 Meta 8.11 Relational 8.12 Same 8.13 Select 8.14 Void II Type Concepts 9 Type deduction systems 10 Overloaded Concept Implementations 11 Type Concepts 11.1 Copyable 11.2 Difference Type 11.3 Equality Comparable 11.4 Pointer Of 11.5 Reference Of 11.6 Size Type 11.7 Streamable 11.8 Totally Ordered 11.9 Value Type III Functional Library 12 Functional Library IV Sequence Concepts 13 Sequence Concepts Traits 14 Sequence Concepts 14.1 Iterators 14.2 Ranges 14.3 Readable and Writable 14.4 Traits 15 Range 15.1 Reference Of 15.2 Ranges 16 Range Generator 17 Sequence Algorithms 17.1 Binary Search 17.2 Copy 17.3 Count 17.4 Equal 17.5 Fill 17.6 Find 17.7 For Each 17.8 Generate 17.9 Heap 17.10Lexicographical 17.11Merge 17.12Min Max 17.13Mismatch 17.14Move 17.15Partition 17.16Permutation 17.17Quantifier 17.18Remove 17.19Replace 17.20Reverse 17.21Search 17.22Set 17.23Shuffle 17.24Sort 17.25Transform 17.26Unique 18 Iterators 18.1 Filter 19 Sequence Testing V Memory Concepts 20 Concepts 21 Allocators VI Matrix 22 Matrix Base 23 Slice Iterator 24 Matrix 25 Matrix Reference 26 Matrix Operations 27 Slice 28 Support Operations 29 Matrix Traits 30 Matrix 30.1 1D Matrix 30.2 2D Matrix 30.3 3D Matrix 30.4 Matrix 30.5 Matrix Operations 30.6 Slice Operations 30.7 Solver VII Graph 31 Graph Concepts 32 Interface And Predicates 33 Graph I/O 34 Graph Handle 35 Utilities 36 Graph Edge 37 Adjacency List 37.1 Node Pool 37.2 Directed and Undirected Adjacency List 37.3 Directed and Undirected Adjacency Vector VIII Data 38 Container Concepts 39 Optional Qualifier

Download or read book Data Structures and Algorithms in C written by Michael T. Goodrich and published by John Wiley & Sons. This book was released on 2011-02-22 with total page 739 pages. Available in PDF, EPUB and Kindle. Book excerpt: An updated, innovative approach to data structures and algorithms Written by an author team of experts in their fields, this authoritative guide demystifies even the most difficult mathematical concepts so that you can gain a clear understanding of data structures and algorithms in C++. The unparalleled author team incorporates the object-oriented design paradigm using C++ as the implementation language, while also providing intuition and analysis of fundamental algorithms. Offers a unique multimedia format for learning the fundamentals of data structures and algorithms Allows you to visualize key analytic concepts, learn about the most recent insights in the field, and do data structure design Provides clear approaches for developing programs Features a clear, easy-to-understand writing style that breaks down even the most difficult mathematical concepts Building on the success of the first edition, this new version offers you an innovative approach to fundamental data structures and algorithms.

Download or read book C for Programmers with an Introduction to C11 written by Paul Deitel and published by Prentice Hall. This book was released on 2013-04-19 with total page 955 pages. Available in PDF, EPUB and Kindle. Book excerpt: The professional programmer’s Deitel® guide to procedural programming in C through 130 working code examples Written for programmers with a background in high-level language programming, this book applies the Deitel signature live-code approach to teaching the C language and the C Standard Library. The book presents the concepts in the context of fully tested programs, complete with syntax shading, code highlighting, code walkthroughs and program outputs. The book features approximately 5,000 lines of proven C code and hundreds of savvy tips that will help you build robust applications. Start with an introduction to C, then rapidly move on to more advanced topics, including building custom data structures, the Standard Library, select features of the new C11 standard such as multithreading to help you write high-performance applications for today’s multicore systems, and secure C programming sections that show you how to write software that is more robust and less vulnerable. You’ll enjoy the Deitels’ classic treatment of procedural programming. When you’re finished, you’ll have everything you need to start building industrial-strength C applications. Practical, example-rich coverage of: C programming fundamentals Compiling and debugging with GNU gcc and gdb, and Visual C++® Key new C11 standard features: Type generic expressions, anonymous structures and unions, memory alignment, enhanced Unicode® support, _Static_assert, quick_exit and at_quick_exit, _Noreturn function specifier, C11 headers C11 multithreading for enhanced performance on today’s multicore systems Secure C Programming sections Data structures, searching and sorting Order of evaluation issues, preprocessor Designated initializers, compound literals, bool type, complex numbers, variable-length arrays, restricted pointers, type generic math, inline functions, and more. Visit www.deitel.com For information on Deitel’s Dive Into® Series programming training courses delivered at organizations worldwide visit www.deitel.com/training or write to [email protected] Download code examples To receive updates for this book, subscribe to the free DEITEL® BUZZ ONLINE e-mail newsletter at www.deitel.com/newsletter/subscribe.html Join the Deitel social networking communities on Facebook® at facebook.com/DeitelFan, Twitter® @deitel, LinkedIn® at bit.ly/DeitelLinkedIn and Google+TM at gplus.to/Deitel

Download or read book Data Structure and Algorithms Using C written by Sachi Nandan Mohanty and published by John Wiley & Sons. This book was released on 2021-01-12 with total page 416 pages. Available in PDF, EPUB and Kindle. Book excerpt: Everyone knows that programming plays a vital role as a solution to automate and execute a task in a proper manner. Irrespective of mathematical problems, the skills of programming are necessary to solve any type of problems that may be correlated to solve real life problems efficiently and effectively. This book is intended to flow from the basic concepts of C++ to technicalities of the programming language, its approach and debugging. The chapters of the book flow with the formulation of the problem, it's designing, finding the step-by-step solution procedure along with its compilation, debugging and execution with the output. Keeping in mind the learner’s sentiments and requirements, the exemplary programs are narrated with a simple approach so that it can lead to creation of good programs that not only executes properly to give the output, but also enables the learners to incorporate programming skills in them. The style of writing a program using a programming language is also emphasized by introducing the inclusion of comments wherever necessary to encourage writing more readable and well commented programs. As practice makes perfect, each chapter is also enriched with practice exercise questions so as to build the confidence of writing the programs for learners. The book is a complete and all-inclusive handbook of C++ that covers all that a learner as a beginner would expect, as well as complete enough to go ahead with advanced programming. This book will provide a fundamental idea about the concepts of data structures and associated algorithms. By going through the book, the reader will be able to understand about the different types of algorithms and at which situation and what type of algorithms will be applicable.

Download or read book Data Structures Using C written by D. S. Malik and published by South Western Educational Publishing. This book was released on 2010 with total page 912 pages. Available in PDF, EPUB and Kindle. Book excerpt: The latest book from Cengage Learning on Data Structures Using C++, International Edition

Download or read book Algorithms and Data Structures written by Kurt Mehlhorn and published by Springer Science & Business Media. This book was released on 2008-05-27 with total page 300 pages. Available in PDF, EPUB and Kindle. Book excerpt: Algorithms are at the heart of every nontrivial computer application, and algorithmics is a modern and active area of computer science. Every computer scientist and every professional programmer should know about the basic algorithmic toolbox: structures that allow efficient organization and retrieval of data, frequently used algorithms, and basic techniques for modeling, understanding and solving algorithmic problems. This book is a concise introduction addressed to students and professionals familiar with programming and basic mathematical language. Individual chapters cover arrays and linked lists, hash tables and associative arrays, sorting and selection, priority queues, sorted sequences, graph representation, graph traversal, shortest paths, minimum spanning trees, and optimization. The algorithms are presented in a modern way, with explicitly formulated invariants, and comment on recent trends such as algorithm engineering, memory hierarchies, algorithm libraries and certifying algorithms. The authors use pictures, words and high-level pseudocode to explain the algorithms, and then they present more detail on efficient implementations using real programming languages like C++ and Java. The authors have extensive experience teaching these subjects to undergraduates and graduates, and they offer a clear presentation, with examples, pictures, informal explanations, exercises, and some linkage to the real world. Most chapters have the same basic structure: a motivation for the problem, comments on the most important applications, and then simple solutions presented as informally as possible and as formally as necessary. For the more advanced issues, this approach leads to a more mathematical treatment, including some theorems and proofs. Finally, each chapter concludes with a section on further findings, providing views on the state of research, generalizations and advanced solutions.

Download or read book Aj s Guide To Algorithm and Data Structure in C C written by A. J and published by . This book was released on 2019-10-10 with total page 526 pages. Available in PDF, EPUB and Kindle. Book excerpt: IntroductionChapter 1: Introduction to algorithm and their typesChapter 2: Performance analysis of an algorithm: Space ComplexityChapter 3: Performance analysis of an algorithm: Time ComplexityChapter 4: Asymptotic NotationsChapter 5: Asymptotic Notation Big OChapter 6: Asymptotic Notation Big Omega and ThetaSorting Algorithms:1: Bubble sort2: Selection Sort3: Insertion Sort4: Merge Sort5: Quick Sort6: Pigeonhole Sort7: 3-Way Quicksort (Dutch National Flag) algorithm8: Cocktail Sort9: Radix Sort10: Bucket Sort11: Counting Sort12: Shell Sort13: Topological sort14: Comb sortSearching Algorithm1: Linear Search2: Binary Search3: Jump Search4: Interpolation Search5: Exponential Search6: Ternary SearchBasic Data Structures:1: Stack Data structure and Implementation using arrays.2: Stack Data structure and Implementation using Linked List.3: Singly Linked List.4: Doubly Linked List [DLL] .5: Circular Singly Linked List.6: Circular Doubly Linked List.7: Queue Data Structure with implementation using arrays.8: Queue Data Structure with implementation using linked list.9: Circular Queues Data structure with Implementation using arrays.10: Circular Queue Data structure with Implementation using Linked List.Trees Data Structure Tutorials:1. Tree Data Structure Introduction2. Introduction to Binary Tree3. Binary Tree Traversal4. Binary Search Tree Introduction5. Implementation of BST6. Implementation of Binary tree7. TRIE Data structure8. Heaps9. Priority Queue10. AVL tree11. Introduction to segment trees12. Performing minimum Range query in Segment Tree and implementation13. Lazy propagation of segment trees14. Fenwick trees and implementationGraph Data Structure Tutorials:1. Graph Introduction2. Graph Representation Adjacency Matrix3. Graph Representation Adjacency List4. Graph Traversal5. Graph Traversal using Stack and Queue6. Bipartite graph7. Graph coloring problem8. Isomorphic Graph9. Euler Graph10. Hamiltonian GraphDifferent types of problem solving technique1. Brute force approach2. Recursion3. Dynamic programming approach4. Backtracking approach5. Greedy approach6. Two pointer approachMinimum Spanning Tree:1. Introduction to minimum spanning tree2. Kruskal's algorithm3. Prims AlgorithmFind shortest path algorithm1. Bellman ford2. Dijkstra's3. Floyd warshallsString matching algorithms1. Knuth Morris Pratt String matching algorithm2. Rabin Karp algorithm3. Boyer-Moore string-search algorithmKnapsack Problem:1. Fractional knapsack2. KnapsackAdditional Problems:1. P, NP, NP hard, NP Complete2. Tower of Hanoi3. Sieve of Eratosthenes4. Kadane Algorithm5. Sliding Window Approach6. Travelling Salesman problem7. Minimum Coin Change Problem8. Total number of ways to get denomination of coins.9. Job Sequencing problem10. Activity Selection Problem11. House Robber ProblemHR Interview questions and tips to answer them1. Expectations on oncoming topics2. Mistakes to avoid in an interview.3. Tell me about yourself4. Why should we hire you?5. Why do you want to work for us?6. What are your greatest strengths and weakness?7. What are your greatest achievements/ accomplishments?8. Any questions for us?9. Where do you want to see yourself in 5 years?10. How to you work under pressure?11. How do you make important decisions?12. What motivates you to do the best on job?13. Do you prefer working alone or in a team?14. What do you know about our company?15. Are you planning for further studies?16. What is your salary expectations?Tips for Developers to improve their skills1. How to prepare for coding interview in 3 months.2. Tips to solve coding interview questions3. How to write a resume for coding interview?4. Tips to become good at programming

Download or read book Data Structures Algorithm Analysis in C written by Mark Allen Weiss and published by Addison Wesley Longman. This book was released on 1999 with total page 614 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this text, readers are able to look at specific problems and see how careful implementations can reduce the time constraint for large amounts of data from several years to less than a second. Class templates are used to describe generic data structures and first-class versions of vector and string classes are used. Included is an appendix on a Standard Template Library (STL). This text is for readers who want to learn good programming and algorithm analysis skills simultaneously so that they can develop such programs with the maximum amount of efficiency. Readers should have some knowledge of intermediate programming, including topics as object-based programming and recursion, and some background in discrete math.

Download or read book Data Structures and Algorithms in Java written by Michael T. Goodrich and published by John Wiley & Sons. This book was released on 2014-01-28 with total page 736 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Objects Abstraction Data Structures and Design written by Elliot B. Koffman and published by John Wiley & Sons. This book was released on 2005-10-20 with total page 832 pages. Available in PDF, EPUB and Kindle. Book excerpt: "It is a practical book with emphasis on real problems the programmers encounter daily." --Dr.Tim H. Lin, California State Polytechnic University, Pomona "My overall impressions of this book are excellent. This book emphasizes the three areas I want: advanced C++, data structures and the STL and is much stronger in these areas than other competing books." --Al Verbanec, Pennsylvania State University Think, Then Code When it comes to writing code, preparation is crucial to success. Before you can begin writing successful code, you need to first work through your options and analyze the expected performance of your design. That's why Elliot Koffman and Paul Wolfgang's Objects, Abstraction, Data Structures, and Design: Using C++ encourages you to Think, Then Code, to help you make good decisions in those critical first steps in the software design process. The text helps you thoroughly understand basic data structures and algorithms, as well as essential design skills and principles. Approximately 20 case studies show you how to apply those skills and principles to real-world problems. Along the way, you'll gain an understanding of why different data structures are needed, the applications they are suited for, and the advantages and disadvantages of their possible implementations. Key Features * Object-oriented approach. * Data structures are presented in the context of software design principles. * 20 case studies reinforce good programming practice. * Problem-solving methodology used throughout... "Think, then code!" * Emphasis on the C++ Standard Library. * Effective pedagogy.

Download or read book Mastering Algorithms with C written by Kyle Loudon and published by "O'Reilly Media, Inc.". This book was released on 1999 with total page 560 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Algorithms and Data Structures in C written by Alan Parker and published by CRC Press. This book was released on 1993-08-26 with total page 276 pages. Available in PDF, EPUB and Kindle. Book excerpt: Algorithms and Data Structures in C++ introduces modern issues in the theory of algorithms, emphasizing complexity, graphs, parallel processing, and visualization. To accomplish this, the book uses an appropriate subset of frequently utilized and representative algorithms and applications in order to demonstrate the unique and modern aspects of the C++ programming language. What makes this book so valuable is that many complete C++ programs have been compiled and executed on multiple platforms. Each program presented is a stand-alone functional program. A number of applications that exercise significant features of C++, including templates and polymorphisms, is included. The book is a perfect text for computer science and engineering students in traditional algorithms or data structures courses. It will also benefit professionals in all fields of computer science and engineering.

Download or read book C Data Structures and Algorithms written by Wisnu Anggoro and published by Packt Publishing Ltd. This book was released on 2018-04-26 with total page 314 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn how to build efficient, secure and robust code in C++ by using data structures and algorithms - the building blocks of C++ Key Features Use data structures such as arrays, stacks, trees, lists, and graphs with real-world examples Learn the functional and reactive implementations of the traditional data structures Explore illustrations to present data structures and algorithms, as well as their analysis, in a clear, visual manner Book Description C++ is a general-purpose programming language which has evolved over the years and is used to develop software for many different sectors. This book will be your companion as it takes you through implementing classic data structures and algorithms to help you get up and running as a confident C++ programmer. We begin with an introduction to C++ data structures and algorithms while also covering essential language constructs. Next, we will see how to store data using linked lists, arrays, stacks, and queues. Then, we will learn how to implement different sorting algorithms, such as quick sort and heap sort. Along with these, we will dive into searching algorithms such as linear search, binary search and more. Our next mission will be to attain high performance by implementing algorithms to string datatypes and implementing hash structures in algorithm design. We'll also analyze Brute Force algorithms, Greedy algorithms, and more. By the end of the book, you'll know how to build components that are easy to understand, debug, and use in different applications. What you will learn Know how to use arrays and lists to get better results in complex scenarios Build enhanced applications by using hashtables, dictionaries, and sets Implement searching algorithms such as linear search, binary search, jump search, exponential search, and more Have a positive impact on the efficiency of applications with tree traversal Explore the design used in sorting algorithms like Heap sort, Quick sort, Merge sort and Radix sort Implement various common algorithms in string data types Find out how to design an algorithm for a specific task using the common algorithm paradigms Who this book is for This book is for developers who would like to learn the Data Structures and Algorithms in C++. Basic C++ programming knowledge is expected.

Download or read book A Practical Introduction to Data Structures and Algorithm Analysis written by Clifford A. Shaffer and published by . This book was released on 2001 with total page 536 pages. Available in PDF, EPUB and Kindle. Book excerpt: This practical text contains fairly "traditional" coverage of data structures with a clear and complete use of algorithm analysis, and some emphasis on file processing techniques as relevant to modern programmers. It fully integrates OO programming with these topics, as part of the detailed presentation of OO programming itself.Chapter topics include lists, stacks, and queues; binary and general trees; graphs; file processing and external sorting; searching; indexing; and limits to computation.For programmers who need a good reference on data structures.

Download or read book Coding data structures written by Alvaro Leal and published by Alvaro Leal. This book was released on with total page 117 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a comprehensive guide meticulously crafted aiming to demystify the intricate world of data structures using the C programming language. While data structures may not be the most glamorous topic in the world of technology, they are the backbone of many cutting-edge technologies, including artificial intelligence (AI), blockchain, and NoSQL databases. These technologies rely heavily on data structures to efficiently store, organize, and manipulate large volumes of data. The choice of the C programming language as the medium of exploration in this book is deliberate. C, with its elegant simplicity and raw efficiency, provides a canvas where data structures can be dissected, understood, and mastered in their purest form. As the lingua franca of programming, C facilitates an intimate interaction with memory management and low-level operations, essential aspects in comprehending the intricacies of data structures. This book will take you on a comprehensive journey through the spectrum of data structures. From the foundational arrays and linked lists to the more advanced techniques used in trees, graphs, and hash tables, each chapter delves into a specific data structure, unraveling its implementation details, operational intricacies, and real-world applications. With a problem-solving approach at its core, this book challenges readers with hands-on exercises, encouraging them to synthesize knowledge and apply it to practical scenarios.

Download or read book Genetic Programming and Data Structures written by William B. Langdon and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computers that `program themselves' has long been an aim of computer scientists. Recently genetic programming (GP) has started to show its promise by automatically evolving programs. Indeed in a small number of problems GP has evolved programs whose performance is similar to or even slightly better than that of programs written by people. The main thrust of GP has been to automatically create functions. While these can be of great use they contain no memory and relatively little work has addressed automatic creation of program code including stored data. This issue is the main focus of Genetic Programming, and Data Structures: Genetic Programming + Data Structures = Automatic Programming!. This book is motivated by the observation from software engineering that data abstraction (e.g., via abstract data types) is essential in programs created by human programmers. This book shows that abstract data types can be similarly beneficial to the automatic production of programs using GP. Genetic Programming and Data Structures: Genetic Programming + Data Structures = Automatic Programming! shows how abstract data types (stacks, queues and lists) can be evolved using genetic programming, demonstrates how GP can evolve general programs which solve the nested brackets problem, recognises a Dyck context free language, and implements a simple four function calculator. In these cases, an appropriate data structure is beneficial compared to simple indexed memory. This book also includes a survey of GP, with a critical review of experiments with evolving memory, and reports investigations of real world electrical network maintenance scheduling problems that demonstrate that Genetic Algorithms can find low cost viable solutions to such problems. Genetic Programming and Data Structures: Genetic Programming + Data Structures = Automatic Programming! should be of direct interest to computer scientists doing research on genetic programming, genetic algorithms, data structures, and artificial intelligence. In addition, this book will be of interest to practitioners working in all of these areas and to those interested in automatic programming.

Download or read book An Introduction to Data Structures and Algorithms written by J.A. Storer and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 609 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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