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Author: Yvonne Thorpe
Publisher: Heinemann-Raintree Library
ISBN: 9781432915292
Category : Architecture
Languages : en
Pages : 40
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Book Description
Explains how graphs can be used to help students learn about buildings and structures, describing the different types of graphs that can be used to gather and organize data about the topics and including information about tunnels, bridges, skyscrapers, and dams.
Author: Yvonne Thorpe
Publisher: Heinemann-Raintree Library
ISBN: 9781432915292
Category : Architecture
Languages : en
Pages : 40
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Book Description
Explains how graphs can be used to help students learn about buildings and structures, describing the different types of graphs that can be used to gather and organize data about the topics and including information about tunnels, bridges, skyscrapers, and dams.
Author: Yvonne Thorpe
Publisher: Capstone Classroom
ISBN: 9781432915445
Category : Architecture
Languages : en
Pages : 34
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Book Description
Explains how graphs can be used to help students learn about buildings and structures, describing the different types of graphs that can be used to gather and organize data about the topics and including information about tunnels, bridges, skyscrapers, and dams.
Author: Myriam Uribe-Etxebarria
Publisher: Oxford University Press, USA
ISBN: 0199644934
Category : Language Arts & Disciplines
Languages : en
Pages : 446
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Book Description
This volume addresses some of the most important approaches to the following key questions in contemporary generative syntactic theory: What are the operations available for (syntactic) structure-building in natural languages? What are the triggers behind them? and Which constraints are involved in the operations? Internationally recognised scholars and young researchers propose new answers on the basis of detailed discussions of a wide range of phenomena (Gapping, Right-Node-Raising, Comparative Deletion, Across-The-Board movement, Tough-constructions, Nominalizations, Scope interactions, Wh-movement, A-movement, Case and Agreement relations, among others). Their discussions draw on evidence from a rich variety of languages, including Brazilian Portuguese, Bulgarian, Croatian, English, German, Icelandic, Japanese, Spanish, Vata, and Vietnamese. The proposals presented illustrate the shift in the locus of the explanation of linguistic phenomena that characterizes contemporary linguistic theory: a shift, in many cases, from a model which relies on properties of systems external to narrow syntax (such as the Lexicon or the Phonetic Form component) to one which relies on properties of the structure-building mechanisms themselves. The volume will interest researchers and students of theoretical linguistics from advanced undergraduate and above.
Author: Igor A. Karnovsky
Publisher: McGraw Hill Professional
ISBN: 0071394656
Category : Technology & Engineering
Languages : en
Pages : 560
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Book Description
* This information-rich reference book provides solutions to the architectural problem of vibrations in beams, arches and frames in bridges, highways, buildings and tunnels * A must-have for structural designers and civil engineers, especially those involved in the seismic design of buildings * Well-organized into problem-specific chapters, and loaded with detailed charts, graphs, and necessary formulas
Author: William L. William L. Hamilton
Publisher: Springer Nature
ISBN: 3031015886
Category : Computers
Languages : en
Pages : 141
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Book Description
Graph-structured data is ubiquitous throughout the natural and social sciences, from telecommunication networks to quantum chemistry. Building relational inductive biases into deep learning architectures is crucial for creating systems that can learn, reason, and generalize from this kind of data. Recent years have seen a surge in research on graph representation learning, including techniques for deep graph embeddings, generalizations of convolutional neural networks to graph-structured data, and neural message-passing approaches inspired by belief propagation. These advances in graph representation learning have led to new state-of-the-art results in numerous domains, including chemical synthesis, 3D vision, recommender systems, question answering, and social network analysis. This book provides a synthesis and overview of graph representation learning. It begins with a discussion of the goals of graph representation learning as well as key methodological foundations in graph theory and network analysis. Following this, the book introduces and reviews methods for learning node embeddings, including random-walk-based methods and applications to knowledge graphs. It then provides a technical synthesis and introduction to the highly successful graph neural network (GNN) formalism, which has become a dominant and fast-growing paradigm for deep learning with graph data. The book concludes with a synthesis of recent advancements in deep generative models for graphs—a nascent but quickly growing subset of graph representation learning.
Author: Juan Sequeda
Publisher: Springer Nature
ISBN: 3031019164
Category : Computers
Languages : en
Pages : 142
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Book Description
This book is a guide to designing and building knowledge graphs from enterprise relational databases in practice.\ It presents a principled framework centered on mapping patterns to connect relational databases with knowledge graphs, the roles within an organization responsible for the knowledge graph, and the process that combines data and people. The content of this book is applicable to knowledge graphs being built either with property graph or RDF graph technologies. Knowledge graphs are fulfilling the vision of creating intelligent systems that integrate knowledge and data at large scale. Tech giants have adopted knowledge graphs for the foundation of next-generation enterprise data and metadata management, search, recommendation, analytics, intelligent agents, and more. We are now observing an increasing number of enterprises that seek to adopt knowledge graphs to develop a competitive edge. In order for enterprises to design and build knowledge graphs, they need to understand the critical data stored in relational databases. How can enterprises successfully adopt knowledge graphs to integrate data and knowledge, without boiling the ocean? This book provides the answers.
Author: Michael Krivelevich
Publisher: Cambridge University Press
ISBN: 1107136571
Category : Mathematics
Languages : en
Pages : 129
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Book Description
A concise introduction, aimed at young researchers, to recent developments of a geometric and topological nature in random graphs.
Author: Malcolm Millais
Publisher: Routledge
ISBN: 1317312163
Category : Architecture
Languages : en
Pages : 579
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Book Description
This is a one-stop book for knowing everything important about building structures. Self-contained and with no prerequisites needed, it is suitable for both general readers and building professionals. follow the history of structural understanding; grasp the concepts of structural behaviour via step-by-step explanations; apply these concepts to a simple building; see how these concepts apply to real buildings, from Durham Cathedral to the Bank of China; use these concepts to define the design process; see how these concepts inform design choices; understand how engineering and architecture have diverged, and what effect this had; learn to do simple but relevant numerical calculations for actual structures; understand when dynamics are important; follow the development of progressive collapse prevention; enter the world of modern structural theory; see how computers can be used for structural analysis; learn how to organise and design a successful project. With more than 500 pages and over 1100 user-friendly diagrams, this book is a must for anyone who would like to understand the fascinating world of structures.
Author: Jeremy G. Siek
Publisher: Pearson Education
ISBN: 0321601610
Category : Computers
Languages : en
Pages : 465
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Book Description
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.
Author: Richard M. Weiss
Publisher: Princeton University Press
ISBN: 0691216045
Category : Business & Economics
Languages : en
Pages : 154
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Book Description
This book provides a clear and authoritative introduction to the theory of buildings, a topic of central importance to mathematicians interested in the geometric aspects of group theory. Its detailed presentation makes it suitable for graduate students as well as specialists. Richard Weiss begins with an introduction to Coxeter groups and goes on to present basic properties of arbitrary buildings before specializing to the spherical case. Buildings are described throughout in the language of graph theory. The Structure of Spherical Buildings includes a reworking of the proof of Jacques Tits's Theorem 4.1.2. upon which Tits's classification of thick irreducible spherical buildings of rank at least three is based. In fact, this is the first book to include a proof of this famous result since its original publication. Theorem 4.1.2 is followed by a systematic study of the structure of spherical buildings and their automorphism groups based on the Moufang property. Moufang buildings of rank two were recently classified by Tits and Weiss. The last chapter provides an overview of the classification of spherical buildings, one that reflects these and other important developments.
