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Discrete Mathematics and Its Applications Seventh Edition

by Kenneth H. Rosen

Discrete Mathematics and Its Applications, Seventh Edition, is intended for one or two term introductory Discrete Mathematics courses taken by students from a wide variety of majors, including Computer Science, Mathematics, and Engineering.

Discrete Mathematics for Computing (3rd Edition)

by Peter Grossman

<p>Palgrave Macmillan Discrete Mathematics for Computing is suitable for students taking a one-semester introductory course in discrete mathematics, particularly those studying Computing and Informations Systems. It presents the essential mathematics needed for computing in a style suitable for students with only a moderate background in the subject. <p>Material is introduced at a gentle pace and in an informal style, without compromising mathematical integrity. The text includes many examples of how the theory is applied to problems in computing. This third edition includes: a new expanded section on encryption, additional examples to illustrate key concepts, new exercises at a variety of levels. <p>Peter Grossman has worked in universities and industry as a mathematician and computing professional. As a lecturer in mathematics, he was responsible for coordinating and developing mathematics courses for computing students. He has applied his skills in areas as diverse as calculator design, irrigation systems and underground mine layouts.

Discrete Mathematics with Coding (Textbooks in Mathematics)

by Hugo D Junghenn

This book, for a first undergraduate course in Discrete Mathematics, systematically exploits the relationship between discrete mathematics and computer programming. Unlike most discrete mathematics texts focusing on one of the other, the book explores the rich and important connection between these two disciplines and shows how each discipline reinforces and enhances the other. The mathematics in the book is self-contained, requiring only a good background in precalculus and some mathematical maturity. New mathematical topics are introduced as needed. The coding language used is VBA Excel. The language is easy to learn, has intuitive commands, and the reader can develop interesting programs from the outset. Additionally, the spreadsheet platform in Excel makes for convenient and transparent data input and output and provides a powerful venue for complex data manipulation. Manipulating data is greatly simplified using spreadsheet features and visualizing the data can make programming and debugging easier. The VBA language is seamlessly integrated into the spreadsheet environment with no other resources required. Furthermore, as some of the modules in the book show, intricate patterns, graphs, and animation in the form of moving cells is possible. Features Introduces coding in VBA Excel assuming no previous coding experience. Develops programs in Linear Analysis, Logic, Combinatorics, Probability, and Number Theory. Contains over 90 fully tested and debugged programs. The code for these is as well as the exercises is available on the author's website. Contains numerous examples that gradually introduce the reader to coding techniques. Includes programs that solve systems of linear equations, linear programming problems, combinatorial problems, Venn diagram problems and programs that produce truth tables from logic statements and logic statements from switching and gate circuits, encrypt and decrypt messages and simulate probability experiments.

Discrete Mathematics with Ducks (Textbooks in Mathematics)

by Sarah-Marie Belcastro

<p>Discrete Mathematics with Ducks, Second Edition is a gentle introduction for students who find the proofs and abstractions of mathematics challenging. At the same time, it provides stimulating material that instructors can use for more advanced students. The first edition was widely well received, with its whimsical writing style and numerous exercises and materials that engaged students at all levels. <p>The new, expanded edition continues to facilitate effective and active learning. It is designed to help students learn about discrete mathematics through problem-based activities. These are created to inspire students to understand mathematics by actively practicing and doing, which helps students better retain what they’ve learned. As such, each chapter contains a mixture of discovery-based activities, projects, expository text, in-class exercises, and homework problems. The author’s lively and friendly writing style is appealing to both instructors and students alike and encourages readers to learn. The book’s light-hearted approach to the subject is a guiding principle and helps students learn mathematical abstraction.</p>

Discrete Problems in Nature Inspired Algorithms

by Anupam Shukla Ritu Tiwari

This book includes introduction of several algorithms which are exclusively for graph based problems, namely combinatorial optimization problems, path formation problems, etc. Each chapter includes the introduction of the basic traditional nature inspired algorithm and discussion of the modified version for discrete algorithms including problems pertaining to discussed algorithms.

Discrete Structures and Their Interactions

by Jason I. Brown

Discover the Connections between Different Structures and FieldsDiscrete Structures and Their Interactions highlights the connections among various discrete structures, including graphs, directed graphs, hypergraphs, partial orders, finite topologies, and simplicial complexes. It also explores their relationships to classical areas of mathematics,

Discrete-Time and Discrete-Space Dynamical Systems (Communications and Control Engineering)

by Kuize Zhang Lijun Zhang Lihua Xie

Discrete-Time and Discrete-Space Dynamical Systems provides a systematic characterization of the similarities and differences of several types of discrete-time and discrete-space dynamical systems, including:Boolean control networks;nondeterministic finite-transition systems;finite automata;labelled Petri nets; andcellular automata.The book's perspective is primarily based on topological properties though it also employs semitensor-product and graph-theoretic methods where appropriate. It presents a series of fundamental results: invertibility, observability, detectability, reversiblity, etc., with applications to systems biology.Academic researchers with backgrounds in applied mathematics, engineering or computer science and practising engineers working with discrete-time and discrete-space systems will find this book a helpful source of new understanding for this increasingly important class of systems. The basic results to be found within are of fundamental importance for further study of related problems such as automated synthesis and safety control in cyber-physical systems using formal methods.

Discrete Time Systems and Signal Processing

by S. Palani

This book is designed to serve as a textbook for courses offered to undergraduate students enrolled in the Electrical, Electronics, Communications, and Instrumentation Engineering disciplines. The book presents a clear and comprehensive introduction to digital signal processing. For easier comprehension, the course contents of all the chapters are in sequential order. A variety of examples and solved problems are included in the book to enable application and ease of understanding of theoretical concepts. Every chapter contains several homework problems with answers followed by question-and-answer-type assignments. The detailed coverage and pedagogical tools make this an ideal textbook for students and researchers enrolled in electrical engineering and related programs.

Discriminating Data: Correlation, Neighborhoods, and the New Politics of Recognition

by Wendy Hui Chun

How big data and machine learning encode discrimination and create agitated clusters of comforting rage.In Discriminating Data, Wendy Hui Kyong Chun reveals how polarization is a goal—not an error—within big data and machine learning. These methods, she argues, encode segregation, eugenics, and identity politics through their default assumptions and conditions. Correlation, which grounds big data&’s predictive potential, stems from twentieth-century eugenic attempts to &“breed&” a better future. Recommender systems foster angry clusters of sameness through homophily. Users are &“trained&” to become authentically predictable via a politics and technology of recognition. Machine learning and data analytics thus seek to disrupt the future by making disruption impossible. Chun, who has a background in systems design engineering as well as media studies and cultural theory, explains that although machine learning algorithms may not officially include race as a category, they embed whiteness as a default. Facial recognition technology, for example, relies on the faces of Hollywood celebrities and university undergraduates—groups not famous for their diversity. Homophily emerged as a concept to describe white U.S. resident attitudes to living in biracial yet segregated public housing. Predictive policing technology deploys models trained on studies of predominantly underserved neighborhoods. Trained on selected and often discriminatory or dirty data, these algorithms are only validated if they mirror this data. How can we release ourselves from the vice-like grip of discriminatory data? Chun calls for alternative algorithms, defaults, and interdisciplinary coalitions in order to desegregate networks and foster a more democratic big data.

Discursive Design: Critical, Speculative, and Alternative Things (Design Thinking, Design Theory)

by Bruce M. Tharp Stephanie M. Tharp

Exploring how design can be used for good—prompting self-reflection, igniting the imagination, and affecting positive social change.Good design provides solutions to problems. It improves our buildings, medical equipment, clothing, and kitchen utensils, among other objects. But what if design could also improve societal problems by prompting positive ideological change? In this book, Bruce and Stephanie Tharp survey recent critical design practices and propose a new, more inclusive field of socially minded practice: discursive design. While many consider good design to be unobtrusive, intuitive, invisible, and undemanding intellectually, discursive design instead targets the intellect, prompting self-reflection and igniting the imagination. Discursive design (derived from “discourse”) expands the boundaries of how we can use design—how objects are, in effect, good(s) for thinking. Discursive Design invites us to see objects in a new light, to understand more than their basic form and utility. Beyond the different foci of critical design, speculative design, design fiction, interrogative design, and adversarial design, Bruce and Stephanie Tharp establish a more comprehensive, unifying vision as well as innovative methods. They not only offer social criticism but also explore how objects can, for example, be used by counselors in therapy sessions, by town councils to facilitate a pre-vote discussions, by activists seeking engagement, and by institutions and industry to better understand the values, beliefs, and attitudes of those whom they serve. Discursive design sparks new ways of thinking, and it is only through new thinking that our sociocultural futures can change.

Discursive Disruption, Populist Communication and Democracy: The Cases of Hugo Chávez and Donald J. Trump (Routledge Research in Political Communication)

by Elena Block

In Discursive Disruption, Populist Communication and Democracy, Elena Block explores the links between declining democratic discourses, populist communication, and reflects on the communicative and moral dimensions of populism. Block proposes the concept of discursive disruption to help to identify, analyze and understand the disruptive power of populist speech, turning to the communicative styles of Venezuela’s late President Hugo Chávez and the US’s President Donald J. Trump to illustrate and support this new conceptual and analytical tool. While the mainstream political class and media traditionally sought to manage the processes of political communication, the book contends that they have now been displaced and their role has been undermined. Middle ground politics and journalism have been substituted by the adversarial rhetorical styles of populists, multiplied through multi-fragmented channels, texts and voices. With this book, Block continues her introspection in the conceptual, communicative and mediatic dimensions of populism by adding a perspective that draws on democratic and discursive theories. Discursive Disruption, Populist Communication and Democracy is ideally designed for scholars and professional communicators in political science and communication studies eager to understand the connection between weakening discourses of modern democracy and the pervasiness of confrontational styles of populist communication in contemporary political exchanges.

The Discursive Power of Memes in Digital Culture: Ideology, Semiotics, and Intertextuality (Routledge Studies in New Media and Cyberculture)

by Bradley E. Wiggins

Shared, posted, tweeted, commented upon, and discussed online as well as off-line, internet memes represent a new genre of online communication, and an understanding of their production, dissemination, and implications in the real world enables an improved ability to navigate digital culture. This book explores cases of cultural, economic, and political critique levied by the purposeful production and consumption of internet memes. Often images, animated GIFs, or videos are remixed in such a way to incorporate intertextual references, quite frequently to popular culture, alongside a joke or critique of some aspect of the human experience. Ideology, semiotics, and intertextuality coalesce in the book’s argument that internet memes represent a new form of meaning-making, and the rapidity by which they are produced and spread underscores their importance.

Discussing Design: Improving Communication and Collaboration through Critique

by Adam Connor Aaron Irizarry

Real critique has become a lost skill among collaborative teams today. Critique is intended to help teams strengthen their designs, products, and services, rather than be used to assert authority or push agendas under the guise of "feedback." In this practical guide, authors Adam Connor and Aaron Irizarry teach you techniques, tools, and a framework for helping members of your design team give and receive critique.Using firsthand stories and lessons from prominent figures in the design community, this book examines the good, the bad, and the ugly of feedback. You'll come away with tips, actionable insights, activities, and a cheat sheet for practicing critique as a part of your collaborative process.This book covers:Best practices (and anti-patterns) for giving and receiving critiqueCultural aspects that influence your ability to critique constructivelyWhen, how much, and how often to use critique in the creative processFacilitation techniques for making critiques timely and more effectiveStrategies for dealing with difficult people and challenging situations

Disease Control Through Social Network Surveillance (Lecture Notes in Social Networks)

by Thirimachos Bourlai Panagiotis Karampelas Reda Alhajj

This book examines modern paradigms of disease control based on social network surveillance applications, including electronic sentinel surveillance and wireless application-based surveillance science. It also highlights topics that integrate statistical and epidemiological sciences with surveillance practice and, in order to reflect the evolution of social networking practices, discusses topics concerning the challenges for surveillance theory and practice. In turn, the book goes a step further by providing insights on how we need to analyse epidemiological trends by following best practices on distinguishing useful information from noise, namely fake news, false reporting of disease incidents and events, etc. At the same time, we need to be able to protect health-focused applications and communication tools via cybersecurity technologies and to ensure that anonymity of reporting and privacy are preserved. In closing, the book discusses the role and impact of social media on disease surveillance, as well as the current role of communities in infectious disease surveillance and control.

Disentangling Participation

by Tone Bratteteig Ina Wagner

Providing a critical view on user participation in design, disentangling decision making and power in design, this book uses fieldwork material from two large participatory design projects: one experimental in the field of urban planning, the other a product development project within health care. Addressing power issues in participatory design is critical to providing a realistic view of the possibilities and limitations of participation. Design is decision-making: during a design process a huge number of decisions taken before the designers end up with a design result - an artefact or system. All decisions are a choice between possibilities and selecting one of them and making it concrete as a change in an artefact is a demonstration of the capacity to transform, which is a key aspect of power. Participatory designers are committed to empowering users and facilitating a design process where users are able to take part in all types of decisions. This volume explores the challenges for practitioners of participatory design arising from this commitment by asking what participation really means: who should participate and in which parts of a design process; what does it mean to share power with users; how are decisions to be made in a participatory way and what is it that users participate in? The book provides a conceptual framework for understanding these issues as well as a fresh look at participation.

Dishonored: The Dunwall Archives

by Various

The artworks, manuscripts, and scraps of information gathered throughout Dunwall are collected at last. It has been a long and difficult journey to archive these tales of our cursed city, but it is my hope that you, reading this now, will take heed, and learn from those gone before you to forge your own destiny. The Dunwall Archives are now yours--what will you do with them now that you know the truth in these pages?

Disinformation in Open Online Media: Third Multidisciplinary International Symposium, MISDOOM 2021, Virtual Event, September 21–22, 2021, Proceedings (Lecture Notes in Computer Science #12887)

by Jonathan Bright Anastasia Giachanou Viktoria Spaiser Francesca Spezzano Anna George Alexandra Pavliuc

This book constitutes the refereed proceedings of the Third Multidisciplinary International Symposium on Disinformation in Open Online Media, MISDOOM 2021, held in September 2021. The conference was held virtually due to the COVID-19 pandemic. The 9 full papers were carefully reviewed and selected from 27 submissions. The papers focus on health misinformation, hate speech, misinformation diffusion, news spreading behaviour and mitigation, harm-aware news recommender systems.

Disinformation in Open Online Media: 5th Multidisciplinary International Symposium, MISDOOM 2023, Amsterdam, The Netherlands, November 21–22, 2023, Proceedings (Lecture Notes in Computer Science #14397)

by Davide Ceolin Tommaso Caselli Marina Tulin

This book constitutes the refereed proceedings of the 5th Multidisciplinary International Symposium on Disinformation in Open Online Media, MISDOOM 2023, which was held in Amsterdam, The Netherlands, during November 21–22, 2023.The 13 full papers presented in this book were carefully reviewed and selected from 19 submissions. The papers focus on misinformation, disinformation, hate speech, disinformation campaigns, social network analysis, large language models, generative AI, and multi-modal embeddings.

Disinformation in Open Online Media: First Multidisciplinary International Symposium, MISDOOM 2019, Hamburg, Germany, February 27 – March 1, 2019, Revised Selected Papers (Lecture Notes in Computer Science #12021)

by Christian Grimme Mike Preuss Frank W. Takes Annie Waldherr

This book constitutes the refereed proceedings of the First Multidisciplinary International Symposium, MISDOOM 2019, held in Hamburg, Germany, in February/March 2019. The 14 revised full papers were carefully reviewed and selected from 21 submissions. The papers are organized in topical sections named: human computer interaction and disinformation, automation and disinformation, media and disinformation.

Disinformation in Open Online Media: Second Multidisciplinary International Symposium, MISDOOM 2020, Leiden, The Netherlands, October 26–27, 2020, Proceedings (Lecture Notes in Computer Science #12259)

by Mike Preuss Max Van Duijn Viktoria Spaiser Frank Takes Suzan Verberne

This book constitutes the refereed proceedings of the Second Multidisciplinary International Symposium, MISDOOM 2020, held in Leiden, The Netherlands, in October 2020.* The 18 full papers were carefully reviewed and selected from 23 submissions. The papers deal with the interdisciplinary field of computational social science, and in particular with the automated detection and combat of misinformation using modern techniques from machine learning, text mining, and social network analysis. * The conference was held virtually due to the COVID-19 pandemic. Chapters “Identifying Political Sentiments on YouTube: A Systematic Comparison regarding the Accuracy of Recurrent Neural Network and Machine Learning Models” and “Do Online Trolling Strategies Differ in Political and Interest Forums: Early Results” are available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.

Disinformation in Open Online Media: 4th Multidisciplinary International Symposium, MISDOOM 2022, Boise, ID, USA, October 11–12, 2022, Proceedings (Lecture Notes in Computer Science #13545)

by Francesca Spezzano Adriana Amaral Davide Ceolin Lisa Fazio Edoardo Serra

This book constitutes the refereed proceedings of the 4th Multidisciplinary International Symposium on Disinformation in Open Online Media, MISDOOM 2022, held in October 2022. The 7 full papers and 3 short papers were carefully reviewed and selected from 17 full/short paper submissions. The papers focus on health and climate change misinformation, social bots and comment moderation, information seeking and diffusion, misinformation detection, and user perception-based trust models.

Disinformation, Misinformation, and Fake News in Social Media: Emerging Research Challenges and Opportunities (Lecture Notes in Social Networks)

by Kai Shu Suhang Wang Dongwon Lee Huan Liu

This book serves as a convenient entry point for researchers, practitioners, and students to understand the problems and challenges, learn state-of-the-art solutions for their specific needs, and quickly identify new research problems in their domains. The contributors to this volume describe the recent advancements in three related parts: (1) user engagements in the dissemination of information disorder; (2) techniques on detecting and mitigating disinformation; and (3) trending issues such as ethics, blockchain, clickbaits, etc. This edited volume will appeal to students, researchers, and professionals working on disinformation, misinformation and fake news in social media from a unique lens.

Disjunctive Programming

by Egon Balas

Disjunctive Programming is a technique and a discipline initiated by the author in the early 1970's, which has become a central tool for solving nonconvex optimization problems like pure or mixed integer programs, through convexification (cutting plane) procedures combined with enumeration. It has played a major role in the revolution in the state of the art of Integer Programming that took place roughly during the period 1990-2010. The main benefit that the reader may acquire from reading this book is a deeper understanding of the theoretical underpinnings and of the applications potential of disjunctive programming, which range from more efficient problem formulation to enhanced modeling capability and improved solution methods for integer and combinatorial optimization. Egon Balas is University Professor and Lord Professor of Operations Research at Carnegie Mellon University's Tepper School of Business.

Disk-Based Algorithms for Big Data

by Christopher G. Healey

Disk-Based Algorithms for Big Data is a product of recent advances in the areas of big data, data analytics, and the underlying file systems and data management algorithms used to support the storage and analysis of massive data collections. The book discusses hard disks and their impact on data management, since Hard Disk Drives continue to be common in large data clusters. It also explores ways to store and retrieve data though primary and secondary indices. This includes a review of different in-memory sorting and searching algorithms that build a foundation for more sophisticated on-disk approaches like mergesort, B-trees, and extendible hashing. Following this introduction, the book transitions to more recent topics, including advanced storage technologies like solid-state drives and holographic storage; peer-to-peer (P2P) communication; large file systems and query languages like Hadoop/HDFS, Hive, Cassandra, and Presto; and NoSQL databases like Neo4j for graph structures and MongoDB for unstructured document data. Designed for senior undergraduate and graduate students, as well as professionals, this book is useful for anyone interested in understanding the foundations and advances in big data storage and management, and big data analytics. About the Author Dr. Christopher G. Healey is a tenured Professor in the Department of Computer Science and the Goodnight Distinguished Professor of Analytics in the Institute for Advanced Analytics, both at North Carolina State University in Raleigh, North Carolina. He has published over 50 articles in major journals and conferences in the areas of visualization, visual and data analytics, computer graphics, and artificial intelligence. He is a recipient of the National Science Foundation’s CAREER Early Faculty Development Award and the North Carolina State University Outstanding Instructor Award. He is a Senior Member of the Association for Computing Machinery (ACM) and the Institute of Electrical and Electronics Engineers (IEEE), and an Associate Editor of ACM Transaction on Applied Perception, the leading worldwide journal on the application of human perception to issues in computer science.

Diskrete Mathematik: Geordnete Mengen

by Bernhard Ganter

Die Ordnungstheorie ist ein faszinierendes Teilgebiet der Diskreten Mathematik, das praktischen Nutzen und abstrakte mathematische Theorie, anschauliche Überlegungen und schwierige Forschungsprobleme auf manchmal verblüffende Art miteinander verbindet. Das Buch gibt eine motivierende Einführung in Grundbegriffe und moderne Strömungen der mathematischen Theorie geordneter Mengen, wobei der Autor sich auf besonders interessante Themen konzentriert. Da die Ordnungstheorie einfach und anspruchsvoll zugleich ist, abstrakt und angewandt, anschaulich und unvorstellbar, ist sie gerade für Studenten in der zweiten Hälfte des Bachelorstudiums und zu Beginn des Masterstudiums bestens geeignet.

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