Relations and Graphs - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Relations and Graphs write by Gunther Schmidt. This book was released on 2012-12-06. Relations and Graphs available in PDF, EPUB and Kindle. Relational methods can be found at various places in computer science, notably in data base theory, relational semantics of concurrency, relationaltype theory, analysis of rewriting systems, and modern programming language design. In addition, they appear in algorithms analysis and in the bulk of discrete mathematics taught to computer scientists. This book is devoted to the background of these methods. It explains how to use relational and graph-theoretic methods systematically in computer science. A powerful formal framework of relational algebra is developed with respect to applications to a diverse range of problem areas. Results are first motivated by practical examples, often visualized by both Boolean 0-1-matrices and graphs, and then derived algebraically.
Intermediate Algebra 2e
Intermediate Algebra 2e - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Intermediate Algebra 2e write by Lynn Marecek. This book was released on 2020-05-06. Intermediate Algebra 2e available in PDF, EPUB and Kindle.
Discrete Mathematics
Discrete Mathematics - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Discrete Mathematics write by Oscar Levin. This book was released on 2018-07-30. Discrete Mathematics available in PDF, EPUB and Kindle. Note: This is a custom edition of Levin's full Discrete Mathematics text, arranged specifically for use in a discrete math course for future elementary and middle school teachers. (It is NOT a new and updated edition of the main text.)This gentle introduction to discrete mathematics is written for first and second year math majors, especially those who intend to teach. The text began as a set of lecture notes for the discrete mathematics course at the University of Northern Colorado. This course serves both as an introduction to topics in discrete math and as the "introduction to proof" course for math majors. The course is usually taught with a large amount of student inquiry, and this text is written to help facilitate this.Four main topics are covered: counting, sequences, logic, and graph theory. Along the way proofs are introduced, including proofs by contradiction, proofs by induction, and combinatorial proofs.While there are many fine discrete math textbooks available, this text has the following advantages: - It is written to be used in an inquiry rich course.- It is written to be used in a course for future math teachers.- It is open source, with low cost print editions and free electronic editions.
Graph Representation Learning
Graph Representation Learning - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Graph Representation Learning write by William L. William L. Hamilton. This book was released on 2022-06-01. Graph Representation Learning available in PDF, EPUB and Kindle. 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.
The Geometry of René Descartes
The Geometry of René Descartes - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook The Geometry of René Descartes write by René Descartes. This book was released on 2012-09-19. The Geometry of René Descartes available in PDF, EPUB and Kindle. The great work that founded analytical geometry. Includes the original French text, Descartes' own diagrams, and the definitive Smith-Latham translation. "The greatest single step ever made in the progress of the exact sciences." — John Stuart Mill.
