Graphing Buildings and Structures

Graphing Buildings and Structures PDF 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.

Graphing Buildings and Structures

Graphing Buildings and Structures PDF 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.

Formulas for Structural Dynamics: Tables, Graphs and Solutions

Formulas for Structural Dynamics: Tables, Graphs and Solutions PDF 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

The Boost Graph Library

The Boost Graph Library PDF 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.

Graph Representation Learning

Graph Representation Learning PDF 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.

Graphing the Universe

Graphing the Universe PDF Author: Deborah Underwood
Publisher: Capstone Classroom
ISBN: 9781432915469
Category : Juvenile Nonfiction
Languages : en
Pages : 36

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Book Description
Photographs and text introduce young readers to the universe, discussing the sun and moon, planets, comets, meteors, stars, other galaxies, and more; and describe the different types of graphing that can be used to group data related to the universe.

Building Knowledge Graphs

Building Knowledge Graphs PDF Author: Jesus Barrasa
Publisher: "O'Reilly Media, Inc."
ISBN: 1098127072
Category : Computers
Languages : en
Pages : 291

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Book Description
Incredibly useful, knowledge graphs help organizations keep track of medical research, cybersecurity threat intelligence, GDPR compliance, web user engagement, and much more. They do so by storing interlinked descriptions of entities—objects, events, situations, or abstract concepts—and encoding the underlying information. How do you create a knowledge graph? And how do you move it from theory into production? Using hands-on examples, this practical book shows data scientists and data engineers how to build their own knowledge graphs. Authors Jesús Barrasa and Jim Webber from Neo4j illustrate common patterns for building knowledge graphs that solve many of today’s pressing knowledge management problems. You’ll quickly discover how these graphs become increasingly useful as you add data and augment them with algorithms and machine learning. Learn the organizing principles necessary to build a knowledge graph Explore how graph databases serve as a foundation for knowledge graphs Understand how to import structured and unstructured data into your graph Follow examples to build integration-and-search knowledge graphs Learn what pattern detection knowledge graphs help you accomplish Explore dependency knowledge graphs through examples Use examples of natural language knowledge graphs and chatbots Use graph algorithms and ML to gain insight into connected data

Graphing Transportation

Graphing Transportation PDF Author: Deborah Underwood
Publisher: Heinemann-Raintree Library
ISBN: 9781432915261
Category : Juvenile Nonfiction
Languages : en
Pages : 40

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Book Description
Explains how children can use charts and graphs to organize and study data related to transportation.

Graphing the Environment

Graphing the Environment PDF Author: Andrew Solway
Publisher: Capstone Classroom
ISBN: 9781432915452
Category : Juvenile Nonfiction
Languages : en
Pages : 36

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Book Description
Explains how children can use charts and graphs to organize and study data related to the environment.

Graphing Habitats

Graphing Habitats PDF Author: Sarah Medina
Publisher: Capstone Classroom
ISBN: 9781432915353
Category : Juvenile Nonfiction
Languages : en
Pages : 36

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Book Description
Presents information about habitats through charts and graphs.

AI for Games, Third Edition

AI for Games, Third Edition PDF Author: Ian Millington
Publisher: CRC Press
ISBN: 1351053299
Category : Art
Languages : en
Pages : 1010

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Book Description
AI is an integral part of every video game. This book helps professionals keep up with the constantly evolving technological advances in the fast growing game industry and equips students with up-to-date information they need to jumpstart their careers. This revised and updated Third Edition includes new techniques, algorithms, data structures and representations needed to create powerful AI in games. Key Features A comprehensive professional tutorial and reference to implement true AI in games Includes new exercises so readers can test their comprehension and understanding of the concepts and practices presented Revised and updated to cover new techniques and advances in AI Walks the reader through the entire game AI development process