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 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 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 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 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 Practical Data Structures in C written by Bryan Flamig and published by Wiley. This book was released on 1993-05-03 with total page 448 pages. Available in PDF, EPUB and Kindle. Book excerpt: C++ is the premier up-and-coming language of the 90s providing elegant ways to code algorithms and data structures and solve real-world problems. Written using generic C++, it takes a no-nonsense, practical approach to designing algorithms and data structures. All of the elements needed to implement the algorithm or data structure will be completely covered so that readers can use the material immediately. Features complete code and practical examples which users can easily adapt to their own programs. Also includes a companion disk that will have all of the examples typed in and ready-to-run.

Download or read book Algorithms and Data Structures in C written by Alan Parker and published by Routledge. This book was released on 2018-05-11 with total page 272 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 Genetic Programming and Data Structures written by W.B. Langdon and published by Springer Science & Business Media. This book was released on 1998-04-30 with total page 298 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 Data Structures and Algorithms Using Java written by William McAllister and published by Jones & Bartlett Learning. This book was released on 2009 with total page 598 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data Structures & Theory of Computation

Download or read book Handbook of Data Structures and Applications written by Dinesh P. Mehta and published by Taylor & Francis. This book was released on 2018-02-21 with total page 1120 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Handbook of Data Structures and Applications was first published over a decade ago. This second edition aims to update the first by focusing on areas of research in data structures that have seen significant progress. While the discipline of data structures has not matured as rapidly as other areas of computer science, the book aims to update those areas that have seen advances. Retaining the seven-part structure of the first edition, the handbook begins with a review of introductory material, followed by a discussion of well-known classes of data structures, Priority Queues, Dictionary Structures, and Multidimensional structures. The editors next analyze miscellaneous data structures, which are well-known structures that elude easy classification. The book then addresses mechanisms and tools that were developed to facilitate the use of data structures in real programs. It concludes with an examination of the applications of data structures. Four new chapters have been added on Bloom Filters, Binary Decision Diagrams, Data Structures for Cheminformatics, and Data Structures for Big Data Stores, and updates have been made to other chapters that appeared in the first edition. The Handbook is invaluable for suggesting new ideas for research in data structures, and for revealing application contexts in which they can be deployed. Practitioners devising algorithms will gain insight into organizing data, allowing them to solve algorithmic problems more efficiently.

Download or read book Sequential and Parallel Algorithms and Data Structures written by Peter Sanders and published by Springer Nature. This book was released on 2019-08-31 with total page 509 pages. Available in PDF, EPUB and Kindle. Book excerpt: This textbook is a concise introduction to the basic toolbox of structures that allow efficient organization and retrieval of data, key algorithms for problems on graphs, and generic techniques for modeling, understanding, and solving algorithmic problems. The authors aim for a balance between simplicity and efficiency, between theory and practice, and between classical results and the forefront of research. 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, optimization, collective communication and computation, and load balancing. The authors also discuss important issues such as algorithm engineering, memory hierarchies, algorithm libraries, and certifying algorithms. Moving beyond the sequential algorithms and data structures of the earlier related title, this book takes into account the paradigm shift towards the parallel processing required to solve modern performance-critical applications and how this impacts on the teaching of algorithms. The book is suitable for undergraduate and graduate students and professionals familiar with programming and basic mathematical language. Most chapters have the same basic structure: the authors discuss a problem as it occurs in a real-life situation, they illustrate the most important applications, and then they introduce simple solutions as informally as possible and as formally as necessary so the reader really understands the issues at hand. As they move to more advanced and optional issues, their approach gradually leads to a more mathematical treatment, including theorems and proofs. The book includes many examples, pictures, informal explanations, and exercises, and the implementation notes introduce clean, efficient implementations in languages such as C++ and Java.

Download or read book Open Data Structures written by Pat Morin and published by Athabasca University Press. This book was released on 2013 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

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 Data Structures Using C written by Rohit Khurana and published by Vikas Publishing House. This book was released on with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Data Structures using C provides its readers a thorough understanding of data structures in a simple, interesting, and illustrative manner. Appropriate examples, diagrams, and tables make the book extremely student-friendly. It meets the requirements of students in various courses, at both undergraduate and postgraduate levels, including BTech, BE, BCA, BSc, PGDCA, MSc, and MCA. Key Features • Presentation for easy grasp through chapter objectives, suitable tables and diagrams and programming examples. • Examination-oriented approach through objective and descriptive questions at the end of each chapter • Large number of questions and exercises for practice

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 Data Structures and Algorithms Using C written by Rao and published by Pearson Education India. This book was released on 1900 with total page 578 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data Structures and Algorithms Using C++ helps students master data structures, their algorithms and the analysis of complexities of these algorithms. Each chapter includes an Abstract Data Type (ADT) and applications along with a detailed explanat