P-graphs for Process Systems Engineering - Mathematical Models and Algorithms
pdf | 7.36 MB | English | Isbn:‎ B09RSSQHXG | Author: Ferenc Friedler | Year: 2022

English | 2021 | ISBN: 1636392016 , 978-1636392011 | 121 pages | True PDF | 4.13 MB
This book describes a set of methods, architectures, and tools to extend the data pipeline at the disposal of developers when they need to publish and consume data from Knowledge Graphs (graph-structured knowledge bases that describe the entities and relations within a domain in a semantically meaningful way) using SPARQL, Web APIs, and JSON.To do so, it focuses on the paradigmatic cases of two middleware software packages,grlcandSPARQL Transformer, which automatically build and run SPARQL-based REST APIs and allow the specification of JSON schema results, respectively.

English | 2021 | ISBN: 1683927729 | 328 pages | PDF | 45.74 MB
Created as a book for a first-time or beginning Excel user, it is designed to be a comprehensive, yet accessible and easy to understand introduction to using and mastering Microsoft Excel 2019 and previous versions. Starting with the basics of what spreadsheets are, and progressing through the foundational concepts and features of Excel, the book provides a thorough, yet user-friendly introduction to the main capabilities of Excel. The book covers the most fundamental and important aspects of Excel, which form the basis for a solid foundation in the use of this critical software application. The topics discussed include an overview of Excel, followed by formulas, functions, and formatting. After this, there is extensive coverage of conditional and selection features, graphs and charts, pivot tables, using a spreadsheet as a database, and selected special topics. The book is illustrated with numerous , together with examples, applications, and exercises. Suitable for professional reference, self-study, or for use in an instructor-led or online course, this book will help readers to become effective and knowledgeable in using one of the most useful tools for enhancing one's business and personal productivity.

Quantum Probability and Spectral Analysis of Graphs by Akihito Hora
English | PDF | 2007 | 371 Pages | ISBN : 3540488626 | 4 MB
This is the first book to comprehensively cover quantum probabilistic approaches to spectral analysis of graphs, an approach developed by the authors. The book functions as a concise introduction to quantum probability from an algebraic aspect. Here readers will learn several powerful methods and techniques of wide applicability, recently developed under the name of quantum probability. The exercises at the end of each chapter help to deepen understanding.

Linkedin Learning - Data Science Foundations Knowledge Graphs-XQZT
English | Size: 118.77 MB
Category: Tutorial

Optimization Algorithms for Networks and Graphs, Second Edition, By James Evans
2017 | 470 Pages | ISBN: 0824786025 | PDF | 138 MB
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I. M. Gelfand, E. G. Glagoleva, E. E. Shnol, "Functions and Graphs"
English | 2002 | ISBN: 0486425649 | EPUB | pages: 112 | 7.2 mb
The second in a series of systematic studies by a celebrated mathematician I. M. Gelfand and colleagues, this volume presents students with a well-illustrated sequence of problems and exercises designed to illuminate the properties of functions and graphs. Since readers do not have the benefit of a blackboard on which a teacher constructs a graph, the authors abandoned the customary use of diagrams in which only the final form of the graph appears; instead, the book's margins feature step-by-step diagrams for the complete construction of each graph. The first part of the book employs simple functions to analyze the fundamental methods of constructing graphs. The second half deals with more complicated and refined questions concerning linear functions, quadratic trinomials, linear fractional functions, power functions, and rational functions.

Knowledge Graphs
English | 2021 | ISBN: 9781098104863 | 93 Pages | EPUB | 7 MB
Applying knowledge in the right context is the most powerful lever businesses can use to become agile, creative, and resilient. Knowledge graphs add context, meaning, and utility to business data. They drive intelligence into data for unparalleled automation and visibility into processes, products, and customers. Businesses use knowledge graphs to anticipate downstream effects, make decisions based on all relevant information, and quickly respond to dynamic markets.

Magic Graphs, Second Edition by Alison M. Marr
English | PDF | 196 Pages | ISBN : 0817683909 | 2013 | 1.7 MB
Magic squares are among the more popular mathematical recreations. Over the last 50 years, many generalizations of "magic" ideas have been applied to graphs. Recently there has been a resurgence of interest in "magic labelings" due to a number of results that have applications to the problem of decomposing graphs into trees.

James Powell, "A Librarian's Guide to Graphs, Data and the Semantic Web"
English | 2015 | ISBN: 1843347539 | 270 pages | PDF | 5 MB
Graphs are about connections, and are an important part of our connected and data-driven world. A Librarian's Guide to Graphs, Data and the Semantic Web is geared toward library and information science professionals, including librarians, software developers and information systems architects who want to understand the fundamentals of graph theory, how it is used to represent and explore data, and how it relates to the semantic web. This title provides a firm grounding in the field at a level suitable for a broad audience, with an emphasis on open source solutions and what problems these tools solve at a conceptual level, with minimal emphasis on algorithms or mathematics. The text will also be of special interest to data science librarians and data professionals, since it introduces many graph theory concepts by exploring data-driven networks from various scientific disciplines. The first two chapters consider graphs in theory and the science of networks, before the following chapters cover networks in various disciplines. Remaining chapters move on to library networks, graph tools, graph analysis libraries, information problems and network solutions, and semantic graphs and the semantic web.