A Short Course in Discrete Mathematics

A Short Course in Discrete Mathematics
Author :
Publisher : Courier Corporation
Total Pages : 258
Release :
ISBN-10 : 9780486439464
ISBN-13 : 0486439461
Rating : 4/5 (64 Downloads)

Synopsis A Short Course in Discrete Mathematics by : Edward A. Bender

What sort of mathematics do I need for computer science? In response to this frequently asked question, a pair of professors at the University of California at San Diego created this text. Its sources are two of the university's most basic courses: Discrete Mathematics, and Mathematics for Algorithm and System Analysis. Intended for use by sophomores in the first of a two-quarter sequence, the text assumes some familiarity with calculus. Topics include Boolean functions and computer arithmetic; logic; number theory and cryptography; sets and functions; equivalence and order; and induction, sequences, and series. Multiple choice questions for review appear throughout the text. Original 2005 edition. Notation Index. Subject Index.

Introduction to Random Graphs

Introduction to Random Graphs
Author :
Publisher : Cambridge University Press
Total Pages : 483
Release :
ISBN-10 : 9781107118508
ISBN-13 : 1107118506
Rating : 4/5 (08 Downloads)

Synopsis Introduction to Random Graphs by : Alan Frieze

The text covers random graphs from the basic to the advanced, including numerous exercises and recommendations for further reading.

Foundations of Combinatorics with Applications

Foundations of Combinatorics with Applications
Author :
Publisher : Courier Corporation
Total Pages : 789
Release :
ISBN-10 : 9780486151502
ISBN-13 : 0486151506
Rating : 4/5 (02 Downloads)

Synopsis Foundations of Combinatorics with Applications by : Edward A. Bender

This introduction to combinatorics, the foundation of the interaction between computer science and mathematics, is suitable for upper-level undergraduates and graduate students in engineering, science, and mathematics. The four-part treatment begins with a section on counting and listing that covers basic counting, functions, decision trees, and sieving methods. The following section addresses fundamental concepts in graph theory and a sampler of graph topics. The third part examines a variety of applications relevant to computer science and mathematics, including induction and recursion, sorting theory, and rooted plane trees. The final section, on generating functions, offers students a powerful tool for studying counting problems. Numerous exercises appear throughout the text, along with notes and references. The text concludes with solutions to odd-numbered exercises and to all appendix exercises.

Handbook of Research on Advanced Applications of Graph Theory in Modern Society

Handbook of Research on Advanced Applications of Graph Theory in Modern Society
Author :
Publisher : IGI Global
Total Pages : 615
Release :
ISBN-10 : 9781522593829
ISBN-13 : 1522593829
Rating : 4/5 (29 Downloads)

Synopsis Handbook of Research on Advanced Applications of Graph Theory in Modern Society by : Pal, Madhumangal

In the world of mathematics and computer science, technological advancements are constantly being researched and applied to ongoing issues. Setbacks in social networking, engineering, and automation are themes that affect everyday life, and researchers have been looking for new techniques in which to solve these challenges. Graph theory is a widely studied topic that is now being applied to real-life problems. The Handbook of Research on Advanced Applications of Graph Theory in Modern Society is an essential reference source that discusses recent developments on graph theory, as well as its representation in social networks, artificial neural networks, and many complex networks. The book aims to study results that are useful in the fields of robotics and machine learning and will examine different engineering issues that are closely related to fuzzy graph theory. Featuring research on topics such as artificial neural systems and robotics, this book is ideally designed for mathematicians, research scholars, practitioners, professionals, engineers, and students seeking an innovative overview of graphic theory.

Mathematics for Computer Science

Mathematics for Computer Science
Author :
Publisher :
Total Pages : 988
Release :
ISBN-10 : 9888407066
ISBN-13 : 9789888407064
Rating : 4/5 (66 Downloads)

Synopsis Mathematics for Computer Science by : Eric Lehman

This book covers elementary discrete mathematics for computer science and engineering. It emphasizes mathematical definitions and proofs as well as applicable methods. Topics include formal logic notation, proof methods; induction, well-ordering; sets, relations; elementary graph theory; integer congruences; asymptotic notation and growth of functions; permutations and combinations, counting principles; discrete probability. Further selected topics may also be covered, such as recursive definition and structural induction; state machines and invariants; recurrences; generating functions.

Better Data Visualizations

Better Data Visualizations
Author :
Publisher : Columbia University Press
Total Pages : 464
Release :
ISBN-10 : 9780231550154
ISBN-13 : 0231550154
Rating : 4/5 (54 Downloads)

Synopsis Better Data Visualizations by : Jonathan Schwabish

Now more than ever, content must be visual if it is to travel far. Readers everywhere are overwhelmed with a flow of data, news, and text. Visuals can cut through the noise and make it easier for readers to recognize and recall information. Yet many researchers were never taught how to present their work visually. This book details essential strategies to create more effective data visualizations. Jonathan Schwabish walks readers through the steps of creating better graphs and how to move beyond simple line, bar, and pie charts. Through more than five hundred examples, he demonstrates the do’s and don’ts of data visualization, the principles of visual perception, and how to make subjective style decisions around a chart’s design. Schwabish surveys more than eighty visualization types, from histograms to horizon charts, ridgeline plots to choropleth maps, and explains how each has its place in the visual toolkit. It might seem intimidating, but everyone can learn how to create compelling, effective data visualizations. This book will guide you as you define your audience and goals, choose the graph that best fits for your data, and clearly communicate your message.

The Practitioner's Guide to Graph Data

The Practitioner's Guide to Graph Data
Author :
Publisher : "O'Reilly Media, Inc."
Total Pages : 471
Release :
ISBN-10 : 9781492044024
ISBN-13 : 1492044024
Rating : 4/5 (24 Downloads)

Synopsis The Practitioner's Guide to Graph Data by : Denise Gosnell

Graph data closes the gap between the way humans and computers view the world. While computers rely on static rows and columns of data, people navigate and reason about life through relationships. This practical guide demonstrates how graph data brings these two approaches together. By working with concepts from graph theory, database schema, distributed systems, and data analysis, you’ll arrive at a unique intersection known as graph thinking. Authors Denise Koessler Gosnell and Matthias Broecheler show data engineers, data scientists, and data analysts how to solve complex problems with graph databases. You’ll explore templates for building with graph technology, along with examples that demonstrate how teams think about graph data within an application. Build an example application architecture with relational and graph technologies Use graph technology to build a Customer 360 application, the most popular graph data pattern today Dive into hierarchical data and troubleshoot a new paradigm that comes from working with graph data Find paths in graph data and learn why your trust in different paths motivates and informs your preferences Use collaborative filtering to design a Netflix-inspired recommendation system

How to Lie with Statistics

How to Lie with Statistics
Author :
Publisher : W. W. Norton & Company
Total Pages : 144
Release :
ISBN-10 : 9780393070873
ISBN-13 : 0393070875
Rating : 4/5 (73 Downloads)

Synopsis How to Lie with Statistics by : Darrell Huff

If you want to outsmart a crook, learn his tricks—Darrell Huff explains exactly how in the classic How to Lie with Statistics. From distorted graphs and biased samples to misleading averages, there are countless statistical dodges that lend cover to anyone with an ax to grind or a product to sell. With abundant examples and illustrations, Darrell Huff’s lively and engaging primer clarifies the basic principles of statistics and explains how they’re used to present information in honest and not-so-honest ways. Now even more indispensable in our data-driven world than it was when first published, How to Lie with Statistics is the book that generations of readers have relied on to keep from being fooled.

Handbook of Graphs and Networks in People Analytics

Handbook of Graphs and Networks in People Analytics
Author :
Publisher : CRC Press
Total Pages : 266
Release :
ISBN-10 : 9781000597271
ISBN-13 : 100059727X
Rating : 4/5 (71 Downloads)

Synopsis Handbook of Graphs and Networks in People Analytics by : Keith McNulty

Handbook of Graphs and Networks in People Analytics: With Examples in R and Python covers the theory and practical implementation of graph methods in R and Python for the analysis of people and organizational networks. Starting with an overview of the origins of graph theory and its current applications in the social sciences, the book proceeds to give in-depth technical instruction on how to construct and store graphs from data, how to visualize those graphs compellingly and how to convert common data structures into graph-friendly form. The book explores critical elements of network analysis in detail, including the measurement of distance and centrality, the detection of communities and cliques, and the analysis of assortativity and similarity. An extension chapter offers an introduction to graph database technologies. Real data sets from various research contexts are used for both instruction and for end of chapter practice exercises and a final chapter contains data sets and exercises ideal for larger personal or group projects of varying difficulty level. Key features: Immediately implementable code, with extensive and varied illustrations of graph variants and layouts. Examples and exercises across a variety of real-life contexts including business, politics, education, social media and crime investigation. Dedicated chapter on graph visualization methods. Practical walkthroughs of common methodological uses: finding influential actors in groups, discovering hidden community structures, facilitating diverse interaction in organizations, detecting political alignment, determining what influences connection and attachment. Various downloadable data sets for use both in class and individual learning projects. Final chapter dedicated to individual or group project examples.