Boost Graph Library

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Boost Graph Library

Author : Jeremy G. Siek
Publisher : Pearson Education
ISBN 13 : 0321601610
Total Pages : 464 pages
Book Rating : 4.3/5 (216 download)

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Book Synopsis Boost Graph Library by : Jeremy G. Siek

Download or read book Boost Graph Library written by Jeremy G. Siek and published by Pearson Education. This book was released on 2001-12-20 with total page 464 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Boost Graph Library (BGL) is the first C++ library to apply the principles of generic programming to the construction of the advanced data structures and algorithms used in graph computations. Problems in such diverse areas as Internet packet routing, molecular biology, scientific computing, and telephone network design can be solved by using graph theory. This book presents an in-depth description of the BGL and provides working examples designed to illustrate the application of BGL to these real-world problems. Written by the BGL developers, The Boost Graph Library: User Guide and Reference Manual gives you all the information you need to take advantage of this powerful new library. Part I is a complete user guide that begins by introducing graph concepts, terminology, and generic graph algorithms. This guide also takes the reader on a tour through the major features of the BGL; all motivated with example problems. Part II is a comprehensive reference manual that provides complete documentation of all BGL concepts, algorithms, and classes. Readers will find coverage of: Graph terminology and concepts Generic programming techniques in C++ Shortest-path algorithms for Internet routing Network planning problems using the minimum-spanning tree algorithms BGL algorithms with implicitly defined graphs BGL Interfaces to other graph libraries BGL concepts and algorithms BGL classes–graph, auxiliary, and adaptor Groundbreaking in its scope, this book offers the key to unlocking the power of the BGL for the C++ programmer looking to extend the reach of generic programming beyond the Standard Template Library.

The Boost C++ Libraries

Author : Boris Schäling
Publisher : Boris Schäling
ISBN 13 :
Total Pages : 878 pages
Book Rating : 4./5 ( download)

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Book Synopsis The Boost C++ Libraries by : Boris Schäling

Download or read book The Boost C++ Libraries written by Boris Schäling and published by Boris Schäling. This book was released on with total page 878 pages. Available in PDF, EPUB and Kindle. Book excerpt: The second edition of The Boost C++ Libraries introduces 72 Boost libraries that provide a wide range of useful capabilities. They help you manage memory and process strings more easily. They provide containers and other data structures that go well beyond what the standard library offers. They make it easy to build platform-independent network applications. Simply put, these 72 libraries greatly expand your C++ toolbox. The second edition contains more than 430 examples. All examples are as short as possible, but they are complete, so you can compile and run them as is. They show you what the Boost libraries offer and give you a head start on using the libraries in your own applications. The goal of this book is to increase your efficiency as a C++ developer and to simplify software development with C++. The Boost libraries introduced in this book will help you write less code with fewer bugs and finish projects faster. You code will be more concise and self-explanatory and more easily adapted when requirements change. The second edition is based on the Boost libraries 1.55.0 and 1.56.0 with the latter version having been released in August 2014. The examples are based on C++11 and have been tested with Visual Studio 2013, GCC 4.8 and Clang 3.3 on various platforms. For Boost libraries which were incorporated into the C++11 standard library, differences between Boost and the standard library are highlighted. The Boost libraries are one of the most important and influential open source C++ libraries. Their source code is available under a permissive free software license. Several Boost libraries have been incorporated into the C++11 standard library. The Boost libraries are developed and supported by the Boost community - a worldwide developer community with a strong interest in pushing C++ boundaries further.

Boost C++ Application Development Cookbook

Author : Antony Polukhin
Publisher : Packt Publishing Ltd
ISBN 13 : 1787284832
Total Pages : 433 pages
Book Rating : 4.7/5 (872 download)

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Book Synopsis Boost C++ Application Development Cookbook by : Antony Polukhin

Download or read book Boost C++ Application Development Cookbook written by Antony Polukhin and published by Packt Publishing Ltd. This book was released on 2017-08-30 with total page 433 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn to build applications faster and better by leveraging the real power of Boost and C++ About This Book Learn to use the Boost libraries to simplify your application development Learn to develop high quality, fast and portable applications Learn the relations between Boost and C++11/C++4/C++17 Who This Book Is For This book is for developers looking to improve their knowledge of Boost and who would like to simplify their application development processes. Prior C++ knowledge and basic knowledge of the standard library is assumed. What You Will Learn Get familiar with new data types for everyday use Use smart pointers to manage resources Get to grips with compile-time computations and assertions Use Boost libraries for multithreading Learn about parallel execution of different task Perform common string-related tasks using Boost libraries Split all the processes, computations, and interactions to tasks and process them independently Learn the basics of working with graphs, stacktracing, testing and interprocess communications Explore different helper macros used to detect compiler, platform and Boost features In Detail If you want to take advantage of the real power of Boost and C++ and avoid the confusion about which library to use in which situation, then this book is for you. Beginning with the basics of Boost C++, you will move on to learn how the Boost libraries simplify application development. You will learn to convert data such as string to numbers, numbers to string, numbers to numbers and more. Managing resources will become a piece of cake. You'll see what kind of work can be done at compile time and what Boost containers can do. You will learn everything for the development of high quality fast and portable applications. Write a program once and then you can use it on Linux, Windows, MacOS, Android operating systems. From manipulating images to graphs, directories, timers, files, networking – everyone will find an interesting topic. Be sure that knowledge from this book won't get outdated, as more and more Boost libraries become part of the C++ Standard.

Beyond the C++ Standard Library

Author : Bjorn Karlsson
Publisher : Pearson Education
ISBN 13 : 0672334151
Total Pages : 703 pages
Book Rating : 4.6/5 (723 download)

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Book Synopsis Beyond the C++ Standard Library by : Bjorn Karlsson

Download or read book Beyond the C++ Standard Library written by Bjorn Karlsson and published by Pearson Education. This book was released on 2005-08-31 with total page 703 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introducing the Boost libraries: the next breakthrough in C++ programming Boost takes you far beyond the C++ Standard Library, making C++ programming more elegant, robust, and productive. Now, for the first time, a leading Boost expert systematically introduces the broad set of Boost libraries and teaches best practices for their use. Writing for intermediate-to-advanced C++ developers, Björn Karlsson briefly outlines all 58 Boost libraries, and then presents comprehensive coverage of 12 libraries you're likely to find especially useful. Karlsson's topics range from smart pointers and conversions to containers and data structures, explaining exactly how using each library can improve your code. He offers detailed coverage of higher-order function objects that enable you to write code that is more concise, expressive, and readable. He even takes you "behind the scenes" with Boost, revealing tools and techniques for creating your own generic libraries. Coverage includes Smart pointers that provide automatic lifetime management of objects and simplify resource sharing Consistent, best-practice solutions for performing type conversions and lexical conversions Utility classes that make programming simpler and clearer Flexible container libraries that solve common problems not covered by the C++ Standard Library Powerful support for regular expressions with Boost.Regex Function objects defined at the call site with Boost.Bind and Boost.Lambda More flexible callbacks with Boost.Function Managed signals and slots (a.k.a. the Observer pattern) with Boost.Signals The Boost libraries are proving so useful that many of them are planned for inclusion in the next version of the C++ Standard Library. Get your head start now, with Beyond the C++ Standard Library.

Learning Boost C++ Libraries

Author : Arindam Mukherjee
Publisher : Packt Publishing Ltd
ISBN 13 : 1783551224
Total Pages : 558 pages
Book Rating : 4.7/5 (835 download)

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Book Synopsis Learning Boost C++ Libraries by : Arindam Mukherjee

Download or read book Learning Boost C++ Libraries written by Arindam Mukherjee and published by Packt Publishing Ltd. This book was released on 2015-07-31 with total page 558 pages. Available in PDF, EPUB and Kindle. Book excerpt: Filled with dozens of working code examples that illustrate the use of over 40 popular Boost libraries, this book takes you on a tour of Boost, helping you to independently build the libraries from source and use them in your own code. The first half of the book focuses on basic programming interfaces including generic containers and algorithms, strings, resource management, exception safety, and a miscellany of programming utilities that make everyday programming chores easy. Following a short interlude that introduces template metaprogramming and functional programming, the later chapters are devoted to systems programming interfaces, focusing on directory handling, I/O, concurrency, and network programming

Graph Machine Learning

Author : Claudio Stamile
Publisher : Packt Publishing Ltd
ISBN 13 : 1800206755
Total Pages : 338 pages
Book Rating : 4.8/5 (2 download)

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Book Synopsis Graph Machine Learning by : Claudio Stamile

Download or read book Graph Machine Learning written by Claudio Stamile and published by Packt Publishing Ltd. This book was released on 2021-06-25 with total page 338 pages. Available in PDF, EPUB and Kindle. Book excerpt: Build machine learning algorithms using graph data and efficiently exploit topological information within your models Key Features Implement machine learning techniques and algorithms in graph data Identify the relationship between nodes in order to make better business decisions Apply graph-based machine learning methods to solve real-life problems Book Description Graph Machine Learning will introduce you to a set of tools used for processing network data and leveraging the power of the relation between entities that can be used for predictive, modeling, and analytics tasks. The first chapters will introduce you to graph theory and graph machine learning, as well as the scope of their potential use. You'll then learn all you need to know about the main machine learning models for graph representation learning: their purpose, how they work, and how they can be implemented in a wide range of supervised and unsupervised learning applications. You'll build a complete machine learning pipeline, including data processing, model training, and prediction in order to exploit the full potential of graph data. After covering the basics, you'll be taken through real-world scenarios such as extracting data from social networks, text analytics, and natural language processing (NLP) using graphs and financial transaction systems on graphs. You'll also learn how to build and scale out data-driven applications for graph analytics to store, query, and process network information, and explore the latest trends on graphs. By the end of this machine learning book, you will have learned essential concepts of graph theory and all the algorithms and techniques used to build successful machine learning applications. What you will learn Write Python scripts to extract features from graphs Distinguish between the main graph representation learning techniques Learn how to extract data from social networks, financial transaction systems, for text analysis, and more Implement the main unsupervised and supervised graph embedding techniques Get to grips with shallow embedding methods, graph neural networks, graph regularization methods, and more Deploy and scale out your application seamlessly Who this book is for This book is for data scientists, data analysts, graph analysts, and graph professionals who want to leverage the information embedded in the connections and relations between data points to boost their analysis and model performance using machine learning. It will also be useful for machine learning developers or anyone who wants to build ML-driven graph databases. A beginner-level understanding of graph databases and graph data is required, alongside a solid understanding of ML basics. You'll also need intermediate-level Python programming knowledge to get started with this book.

Massive Graph Analytics

Author : David A. Bader
Publisher : CRC Press
ISBN 13 : 1000538699
Total Pages : 681 pages
Book Rating : 4.0/5 (5 download)

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Book Synopsis Massive Graph Analytics by : David A. Bader

Download or read book Massive Graph Analytics written by David A. Bader and published by CRC Press. This book was released on 2022-07-20 with total page 681 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Graphs. Such a simple idea. Map a problem onto a graph then solve it by searching over the graph or by exploring the structure of the graph. What could be easier? Turns out, however, that working with graphs is a vast and complex field. Keeping up is challenging. To help keep up, you just need an editor who knows most people working with graphs, and have that editor gather nearly 70 researchers to summarize their work with graphs. The result is the book Massive Graph Analytics." — Timothy G. Mattson, Senior Principal Engineer, Intel Corp Expertise in massive-scale graph analytics is key for solving real-world grand challenges from healthcare to sustainability to detecting insider threats, cyber defense, and more. This book provides a comprehensive introduction to massive graph analytics, featuring contributions from thought leaders across academia, industry, and government. Massive Graph Analytics will be beneficial to students, researchers, and practitioners in academia, national laboratories, and industry who wish to learn about the state-of-the-art algorithms, models, frameworks, and software in massive-scale graph analytics.

Link Prediction in Social Networks

Author : Srinivas Virinchi
Publisher : Springer
ISBN 13 : 3319289225
Total Pages : 67 pages
Book Rating : 4.3/5 (192 download)

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Book Synopsis Link Prediction in Social Networks by : Srinivas Virinchi

Download or read book Link Prediction in Social Networks written by Srinivas Virinchi and published by Springer. This book was released on 2016-01-22 with total page 67 pages. Available in PDF, EPUB and Kindle. Book excerpt: This work presents link prediction similarity measures for social networks that exploit the degree distribution of the networks. In the context of link prediction in dense networks, the text proposes similarity measures based on Markov inequality degree thresholding (MIDTs), which only consider nodes whose degree is above a threshold for a possible link. Also presented are similarity measures based on cliques (CNC, AAC, RAC), which assign extra weight between nodes sharing a greater number of cliques. Additionally, a locally adaptive (LA) similarity measure is proposed that assigns different weights to common nodes based on the degree distribution of the local neighborhood and the degree distribution of the network. In the context of link prediction in dense networks, the text introduces a novel two-phase framework that adds edges to the sparse graph to forma boost graph.

Introduction to the Boost C++ Libraries

Author : Robert Demming
Publisher : Datasim Education Bv
ISBN 13 : 9789491028014
Total Pages : 310 pages
Book Rating : 4.0/5 (28 download)

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Book Synopsis Introduction to the Boost C++ Libraries by : Robert Demming

Download or read book Introduction to the Boost C++ Libraries written by Robert Demming and published by Datasim Education Bv. This book was released on 2010-11-01 with total page 310 pages. Available in PDF, EPUB and Kindle. Book excerpt: C++ is one of the most important and influential programming languages for application development. It supports the modular, object- oriented and generic programming models and its flexibility has been one of the main reasons why it has been so successful. With the emergence of the Boost Libraries (www.boost.org) we see that C++ is brought to a new level, namely a set of reusable and modular template libraries that C++ developers can use in their applications. This book is dedicated to a number of Boost libraries for higher-order functions, data types and data structures, libraries for text and string processing, multi-threading, random number generation and more. We also discuss how Boost and design patterns are used to promote the flexibility of code. Each library is described in a step-by-step manner. Numerous examples are given to show the functionality of each library. The full source code is freely available to purchasers of the book. Coverage Includes Understanding and using 30 major Boost libraries. Learn about higher-order functions, data structures, memory management, multi-threading and more. Using Boost in new and existing applications. Integrating Boost and the Gang-Of-Four design patterns. Ready-to-run projects for Visual Studio. Appendices and exercises."

Generic Algorithms and Data Structures Using C++11

Author : Sergei Nakariakov
Publisher : Createspace Independent Pub
ISBN 13 : 9781484111543
Total Pages : 564 pages
Book Rating : 4.1/5 (115 download)

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Book Synopsis Generic Algorithms and Data Structures Using C++11 by : Sergei Nakariakov

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

Practical Graph Mining with R

Author : Nagiza F. Samatova
Publisher : CRC Press
ISBN 13 : 1439860858
Total Pages : 495 pages
Book Rating : 4.4/5 (398 download)

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Book Synopsis Practical Graph Mining with R by : Nagiza F. Samatova

Download or read book Practical Graph Mining with R written by Nagiza F. Samatova and published by CRC Press. This book was released on 2013-07-15 with total page 495 pages. Available in PDF, EPUB and Kindle. Book excerpt: Discover Novel and Insightful Knowledge from Data Represented as a GraphPractical Graph Mining with R presents a "do-it-yourself" approach to extracting interesting patterns from graph data. It covers many basic and advanced techniques for the identification of anomalous or frequently recurring patterns in a graph, the discovery of groups or cluste

Large-scale Graph Analysis: System, Algorithm and Optimization

Author : Yingxia Shao
Publisher : Springer Nature
ISBN 13 : 9811539286
Total Pages : 154 pages
Book Rating : 4.8/5 (115 download)

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Book Synopsis Large-scale Graph Analysis: System, Algorithm and Optimization by : Yingxia Shao

Download or read book Large-scale Graph Analysis: System, Algorithm and Optimization written by Yingxia Shao and published by Springer Nature. This book was released on 2020-07-01 with total page 154 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces readers to a workload-aware methodology for large-scale graph algorithm optimization in graph-computing systems, and proposes several optimization techniques that can enable these systems to handle advanced graph algorithms efficiently. More concretely, it proposes a workload-aware cost model to guide the development of high-performance algorithms. On the basis of the cost model, the book subsequently presents a system-level optimization resulting in a partition-aware graph-computing engine, PAGE. In addition, it presents three efficient and scalable advanced graph algorithms – the subgraph enumeration, cohesive subgraph detection, and graph extraction algorithms. This book offers a valuable reference guide for junior researchers, covering the latest advances in large-scale graph analysis; and for senior researchers, sharing state-of-the-art solutions based on advanced graph algorithms. In addition, all readers will find a workload-aware methodology for designing efficient large-scale graph algorithms.

From Mathematics to Generic Programming

Author : Alexander A. Stepanov
Publisher : Addison-Wesley Professional
ISBN 13 : 0133491781
Total Pages : 311 pages
Book Rating : 4.1/5 (334 download)

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Book Synopsis From Mathematics to Generic Programming by : Alexander A. Stepanov

Download or read book From Mathematics to Generic Programming written by Alexander A. Stepanov and published by Addison-Wesley Professional. This book was released on 2014-11-13 with total page 311 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this substantive yet accessible book, pioneering software designer Alexander Stepanov and his colleague Daniel Rose illuminate the principles of generic programming and the mathematical concept of abstraction on which it is based, helping you write code that is both simpler and more powerful. If you’re a reasonably proficient programmer who can think logically, you have all the background you’ll need. Stepanov and Rose introduce the relevant abstract algebra and number theory with exceptional clarity. They carefully explain the problems mathematicians first needed to solve, and then show how these mathematical solutions translate to generic programming and the creation of more effective and elegant code. To demonstrate the crucial role these mathematical principles play in many modern applications, the authors show how to use these results and generalized algorithms to implement a real-world public-key cryptosystem. As you read this book, you’ll master the thought processes necessary for effective programming and learn how to generalize narrowly conceived algorithms to widen their usefulness without losing efficiency. You’ll also gain deep insight into the value of mathematics to programming—insight that will prove invaluable no matter what programming languages and paradigms you use. You will learn about How to generalize a four thousand-year-old algorithm, demonstrating indispensable lessons about clarity and efficiency Ancient paradoxes, beautiful theorems, and the productive tension between continuous and discrete A simple algorithm for finding greatest common divisor (GCD) and modern abstractions that build on it Powerful mathematical approaches to abstraction How abstract algebra provides the idea at the heart of generic programming Axioms, proofs, theories, and models: using mathematical techniques to organize knowledge about your algorithms and data structures Surprising subtleties of simple programming tasks and what you can learn from them How practical implementations can exploit theoretical knowledge

Computational Discrete Mathematics

Author : Sriram Pemmaraju
Publisher : Cambridge University Press
ISBN 13 : 1107268710
Total Pages : 615 pages
Book Rating : 4.1/5 (72 download)

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Book Synopsis Computational Discrete Mathematics by : Sriram Pemmaraju

Download or read book Computational Discrete Mathematics written by Sriram Pemmaraju and published by Cambridge University Press. This book was released on 2009-10-15 with total page 615 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book was first published in 2003. Combinatorica, an extension to the popular computer algebra system Mathematica®, is the most comprehensive software available for teaching and research applications of discrete mathematics, particularly combinatorics and graph theory. This book is the definitive reference/user's guide to Combinatorica, with examples of all 450 Combinatorica functions in action, along with the associated mathematical and algorithmic theory. The authors cover classical and advanced topics on the most important combinatorial objects: permutations, subsets, partitions, and Young tableaux, as well as all important areas of graph theory: graph construction operations, invariants, embeddings, and algorithmic graph theory. In addition to being a research tool, Combinatorica makes discrete mathematics accessible in new and exciting ways to a wide variety of people, by encouraging computational experimentation and visualization. The book contains no formal proofs, but enough discussion to understand and appreciate all the algorithms and theorems it contains.

Boost.Asio C++ Network Programming

Author : Wisnu Anggoro
Publisher : Packt Publishing Ltd
ISBN 13 : 1785289098
Total Pages : 200 pages
Book Rating : 4.7/5 (852 download)

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Book Synopsis Boost.Asio C++ Network Programming by : Wisnu Anggoro

Download or read book Boost.Asio C++ Network Programming written by Wisnu Anggoro and published by Packt Publishing Ltd. This book was released on 2015-09-16 with total page 200 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn effective C++ network programming with Boost.Asio and become a proficient C++ network programmer About This Book Learn efficient C++ network programming with minimum coding using Boost.Asio Your one-stop destination to everything related to the Boost.Asio library Explore the fundamentals of networking to choose designs with more examples, and learn the basics of Boost.Asio Who This Book Is For This book is for C++ Network programmers with basic knowledge of network programming, but no knowledge of how to use Boost.Asio for network programming. What You Will Learn Prepare the tools to simplify network programming in C++ using Boost.Asio Explore the networking concepts of IP addressing, TCP/IP ports and protocols, and LAN topologies Get acquainted with the usage of the Boost libraries Get to know more about the content of Boost.Asio network programming and Asynchronous programming Establish communication between client and server by creating client-server application Understand the various functions inside Boost.Asio C++ libraries to delve into network programming Discover how to debug and run the code successfully In Detail Boost.Asio is a C++ library used for network programming operations. Organizations use Boost because of its productivity. Use of these high-quality libraries speed up initial development, result in fewer bugs, reduce reinvention-of-the-wheel, and cut long-term maintenance costs. Using Boost libraries gives an organization a head start in adopting new technologies. This book will teach you C++ Network programming using synchronous and asynchronous operations in Boost.Asio with minimum code, along with the fundamentals of Boost, server-client applications, debugging, and more. You will begin by preparing and setting up the required tools to simplify your network programming in C++ with Boost.Asio. Then you will learn about the basic concepts in networking such as IP addressing, TCP/IP protocols, and LAN with its topologies. This will be followed by an overview of the Boost libraries and their usage. Next you will get to know more about Boost.Asio and its concepts related to network programming. We will then go on to create a client-server application, helping you to understand the networking concepts. Moving on, you will discover how to use all the functions inside the Boost.Asio C++ libraries. Lastly, you will understand how to debug the code if there are errors found and will run the code successfully. Style and approach An example-oriented book to show you the basics of networking and help you create a network application simply using Boost.Asio, with more examples for you to get up and running with Boost.Asio quickly.

The C++ Standard Library

Author : Nicolai M. Josuttis
Publisher : Addison-Wesley
ISBN 13 : 0132977737
Total Pages : 1190 pages
Book Rating : 4.1/5 (329 download)

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Book Synopsis The C++ Standard Library by : Nicolai M. Josuttis

Download or read book The C++ Standard Library written by Nicolai M. Josuttis and published by Addison-Wesley. This book was released on 2012-05-25 with total page 1190 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Best-Selling C++ Resource Now Updated for C++11 The C++ standard library provides a set of common classes and interfaces that greatly extend the core C++ language. The library, however, is not self-explanatory. To make full use of its components–and to benefit from their power–you need a resource that does far more than list the classes and their functions. The C++ Standard Library: A Tutorial and Reference, Second Edition, describes this library as now incorporated into the new ANSI/ISO C++ language standard (C++11). The book provides comprehensive documentation of each library component, including an introduction to its purpose and design; clearly written explanations of complex concepts; the practical programming details needed for effective use; traps and pitfalls; the exact signature and definition of the most important classes and functions; and numerous examples of working code. The book focuses in particular on the Standard Template Library (STL), examining containers, iterators, function objects, and STL algorithms. The book covers all the new C++11 library components, including Concurrency Fractional arithmetic Clocks and timers Tuples New STL containers New STL algorithms New smart pointers New locale facets Random numbers and distributions Type traits and utilities Regular expressions The book also examines the new C++ programming style and its effect on the standard library, including lambdas, range-based for loops, move semantics, and variadic templates. An accompanying Web site, including source code, can be found at www.cppstdlib.com.

Polygon Mesh Processing

Author : Mario Botsch
Publisher : CRC Press
ISBN 13 : 1568814267
Total Pages : 244 pages
Book Rating : 4.5/5 (688 download)

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Book Synopsis Polygon Mesh Processing by : Mario Botsch

Download or read book Polygon Mesh Processing written by Mario Botsch and published by CRC Press. This book was released on 2010-10-07 with total page 244 pages. Available in PDF, EPUB and Kindle. Book excerpt: Geometry processing, or mesh processing, is a fast-growing area of research that uses concepts from applied mathematics, computer science, and engineering to design efficient algorithms for the acquisition, reconstruction, analysis, manipulation, simulation, and transmission of complex 3D models. Applications of geometry processing algorithms already cover a wide range of areas from multimedia, entertainment, and classical computer-aided design, to biomedical computing, reverse engineering, and scientific computing. Over the last several years, triangle meshes have become increasingly popular, as irregular triangle meshes have developed into a valuable alternative to traditional spline surfaces. This book discusses the whole geometry processing pipeline based on triangle meshes. The pipeline starts with data input, for example, a model acquired by 3D scanning techniques. This data can then go through processes of error removal, mesh creation, smoothing, conversion, morphing, and more. The authors detail techniques for those processes using triangle meshes. A supplemental website contains downloads and additional information.