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Matlab für Dummies (Für Dummies)
by John Paul Mueller Jim SizemoreMATLAB® So lernen Sie MATLAB ideal zu nutzen Ob Naturwissenschaftler, Mathematiker, Ingenieur oder Datenwissenschaftler - mit MATLAB haben Sie ein mächtiges Tool in der Hand, das Ihnen die Arbeit mit Ihren Daten erleichtert. Aber wie das mit manch mächtigen Dingen so ist - es ist auch ganz schön kompliziert. Aber keine Sorge! Die Autoren führen Sie in diesem Buch Schritt für Schritt an das Programm heran - von der Installation und den ersten Skripten bis hin zu aufwändigen Berechnungen, der Erstellung von Grafiken und effizienter Fehlerbehebung. Sie werden begeistert sein, was Sie mit MATLAB alles anstellen können. Sie erfahren Was es mit dem MATLAB-Dateisystem auf sich hat Wie Sie mathematische Operationen mit Vektoren und Matrizen durchführen Wie Sie Funktionen und Skripte erstellen Wie Sie importieren, exportieren und publizieren.
Matplotlib 3.0 Cookbook: Over 150 recipes to create highly detailed interactive visualizations using Python
by Srinivasa Rao PoladiBuild attractive, insightful, and powerful visualizations to gain quality insights from your dataKey FeaturesMaster Matplotlib for data visualizationCustomize basic plots to make and deploy figures in cloud environmentsExplore recipes to design various data visualizations from simple bar charts to advanced 3D plotsBook DescriptionMatplotlib provides a large library of customizable plots, along with a comprehensive set of backends. Matplotlib 3.0 Cookbook is your hands-on guide to exploring the world of Matplotlib, and covers the most effective plotting packages for Python 3.7. With the help of this cookbook, you'll be able to tackle any problem you might come across while designing attractive, insightful data visualizations. With the help of over 150 recipes, you'll learn how to develop plots related to business intelligence, data science, and engineering disciplines with highly detailed visualizations. Once you've familiarized yourself with the fundamentals, you'll move on to developing professional dashboards with a wide variety of graphs and sophisticated grid layouts in 2D and 3D. You'll annotate and add rich text to the plots, enabling the creation of a business storyline. In addition to this, you'll learn how to save figures and animations in various formats for downstream deployment, followed by extending the functionality offered by various internal and third-party toolkits, such as axisartist, axes_grid, Cartopy, and Seaborn. By the end of this book, you'll be able to create high-quality customized plots and deploy them on the web and on supported GUI applications such as Tkinter, Qt 5, and wxPython by implementing real-world use cases and examples.What you will learnDevelop simple to advanced data visualizations in Matplotlib Use the pyplot API to quickly develop and deploy different plots Use object-oriented APIs for maximum flexibility with the customization of figuresDevelop interactive plots with animation and widgets Use maps for geographical plotting Enrich your visualizations using embedded texts and mathematical expressionsEmbed Matplotlib plots into other GUIs used for developing applicationsUse toolkits such as axisartist, axes_grid1, and cartopy to extend the base functionality of MatplotlibWho this book is forThe Matplotlib 3.0 Cookbook is for you if you are a data analyst, data scientist, or Python developer looking for quick recipes for a multitude of visualizations. This book is also for those who want to build variations of interactive visualizations.
Matplotlib for Python Developers
by Sandro TosiThis is a practical, hands-on book, with a lot of code and images. It presents the real code that generates every image and describes almost every single line of it, so that you know exactly what's going on. Introductory, descriptive, and theoretical parts are mixed with examples, so that reading and understanding them is easy. All of the examples build gradually with code snippets, their explanations, and plot images where necessary with the complete code and output presented at the end. This book is essentially for Python developers who have a good knowledge of Python; no knowledge of Matplotlib is required. You will be creating 2D plots using Matplotlib in no time at all.
Matplotlib for Python Developers: Effective techniques for data visualization with Python, 2nd Edition
by Allen Yu Claire Chung Aldrin YimLeverage the power of Matplotlib to visualize and understand your data more effectivelyKey FeaturesPerform effective data visualization with Matplotlib and get actionable insights from your dataDesign attractive graphs, charts, and 2D plots, and deploy them to the webGet the most out of Matplotlib in this practical guide with updated code and examplesBook DescriptionPython is a general-purpose programming language increasingly being used for data analysis and visualization. Matplotlib is a popular data visualization package in Python used to design effective plots and graphs. This is a practical, hands-on resource to help you visualize data with Python using the Matplotlib library. Matplotlib for Python Developers, Second Edition shows you how to create attractive graphs, charts, and plots using Matplotlib. You will also get a quick introduction to third-party packages, Seaborn, Pandas, Basemap, and Geopandas, and learn how to use them with Matplotlib. After that, you’ll embed and customize your plots in third-party tools such as GTK+3, Qt 5, and wxWidgets. You’ll also be able to tweak the look and feel of your visualization with the help of practical examples provided in this book. Further on, you’ll explore Matplotlib 2.1.x on the web, from a cloud-based platform using third-party packages such as Django. Finally, you will integrate interactive, real-time visualization techniques into your current workflow with the help of practical real-world examples.By the end of this book, you’ll be thoroughly comfortable with using the popular Python data visualization library Matplotlib 2.1.x and leveraging its power to build attractive, insightful, and powerful visualizations.What you will learnCreate 2D and 3D static plots such as bar charts, heat maps, and scatter plotsGet acquainted with GTK+3, Qt5, and wxWidgets to understand the UI backend of MatplotlibDevelop advanced static plots with third-party packages such as Pandas, GeoPandas, and SeabornCreate interactive plots with real-time updatesDevelop web-based, Matplotlib-powered graph visualizations with third-party packages such as DjangoWrite data visualization code that is readily expandable on the cloud platformWho this book is forThis book is essentially for anyone who wants to create intuitive data visualizations using the Matplotlib library. If you’re a data scientist or analyst and wish to create attractive visualizations using Python, you’ll find this book useful. Some knowledge of Python programming is all you need to get started.
Matrices, Statistics and Big Data: Selected Contributions from IWMS 2016 (Contributions to Statistics)
by S. Ejaz Ahmed Simo Puntanen Francisco CarvalhoThis volume features selected, refereed papers on various aspects of statistics, matrix theory and its applications to statistics, as well as related numerical linear algebra topics and numerical solution methods, which are relevant for problems arising in statistics and in big data. The contributions were originally presented at the 25th International Workshop on Matrices and Statistics (IWMS 2016), held in Funchal (Madeira), Portugal on June 6-9, 2016. The IWMS workshop series brings together statisticians, computer scientists, data scientists and mathematicians, helping them better understand each other’s tools, and fostering new collaborations at the interface of matrix theory and statistics.
Matrix Activism: Global Practices of Resistance (Routledge Research in Cultural and Media Studies)
by Michela ArdizzoniThe intersection of virtual and physical spaces at the heart of contemporary political protests is a pivotal element in new practices of activism. In this new and global ecology of dissent and activism, different forces, stakeholders, and spaces, once defiantly discordant, come together to define the increasingly malleable nature and terms of participatory politics and the performance of democracy. This book explores the emerging sites, aesthetics and politics of contemporary dissent as a critical attempt to foreground their mediation and negotiation in an era of neoliberal globalization. Contemporary forms of media activism occupy deeply ambivalent spaces, which Ardizzoni analyzes using the lens of what she calls "matrix activism." Rather than confining the analysis to a single platform, a single technology, or a single social actor, matrix activism allows us to explain the hybrid nature of new forms of dissent and resistance, as they are located at the intersection of alternative and mainstream, non-profit and corporate, individual and social, production and consumption, online and offline.
Matrix Algebra: Theory, Computations and Applications in Statistics (Springer Texts in Statistics)
by James E. GentleThis book presents the theory of matrix algebra for statistical applications, explores various types of matrices encountered in statistics, and covers numerical linear algebra. Matrix algebra is one of the most important areas of mathematics in data science and in statistical theory, and previous editions had essential updates and comprehensive coverage on critical topics in mathematics.This 3rd edition offers a self-contained description of relevant aspects of matrix algebra for applications in statistics. It begins with fundamental concepts of vectors and vector spaces; covers basic algebraic properties of matrices and analytic properties of vectors and matrices in multivariate calculus; and concludes with a discussion on operations on matrices, in solutions of linear systems and in eigenanalysis. It also includes discussions of the R software package, with numerous examples and exercises.Matrix Algebra considers various types of matrices encountered in statistics, such as projection matrices and positive definite matrices, and describes special properties of those matrices; as well as describing various applications of matrix theory in statistics, including linear models, multivariate analysis, and stochastic processes. It begins with a discussion of the basics of numerical computations and goes on to describe accurate and efficient algorithms for factoring matrices, how to solve linear systems of equations, and the extraction of eigenvalues and eigenvectors. It covers numerical linear algebra—one of the most important subjects in the field of statistical computing. The content includes greater emphases on R, and extensive coverage of statistical linear models. Matrix Algebra is ideal for graduate and advanced undergraduate students, or as a supplementary text for courses in linear models or multivariate statistics. It’s also ideal for use in a course in statistical computing, or as a supplementary text forvarious courses that emphasize computations.
Matrix Discrete Element Analysis of Geological and Geotechnical Engineering
by Chun LiuThis book introduces the basic structure, modeling methods, numerical calculation processes, post-processing, and system functions of MatDEM, which applies the basic principles and algorithm of the discrete element method. The discrete element method can effectively simulate the discontinuity, inhomogeneity, and large deformation damage of rock and soil. It is widely used in both research and industry. Based on the innovative matrix discrete element computing method, the author developed the high-performance discrete element software MatDEM from scratch, which can handle millions of elements in discrete element numerical simulations. This book also presents several examples of applications in geological and geotechnical engineering, including basic geotechnical engineering problems, discrete element tests, three dimensional landslides, and dynamic and multi-field coupling functions. Teaching videos and the relevant software can be accessed on the MATDEM website (http://matdem.com). The book serves as a useful reference for research and engineering staff, undergraduates, and postgraduates who work in the fields of geology, geotechnical, water conservancy, civil engineering, mining, and physics.
Matrix Information Geometry
by Rajendra Bhatia Frank NielsenThis book presents advances in matrix and tensor data processing in the domain of signal, image and information processing. The theoretical mathematical approaches are discusses in the context of potential applications in sensor and cognitive systems engineering. The topics and application include Information Geometry, Differential Geometry of structured Matrix, Positive Definite Matrix, Covariance Matrix, Sensors (Electromagnetic Fields, Acoustic sensors) and Applications in Cognitive systems, in particular Data Mining.
Matrix Transforms for Computer Games and Animation
by John VinceMatrix transforms are ubiquitous within the world of computer graphics, where they have become an invaluable tool in a programmer's toolkit for solving everything from 2D image scaling to 3D rotation about an arbitrary axis. Virtually every software system and hardware graphics processor uses matrices to undertake operations such as scaling, translation, reflection and rotation. Nevertheless, for some newcomers to the world of computer games and animation, matrix notation can appear obscure and challenging. Matrices and determinants were originally used to solve groups of simultaneous linear equations, and were subsequently embraced by the computer graphics community to describe the geometric operations for manipulating two- and three-dimensional structures. Consequently, to place matrix notation within an historical context, the author provides readers with some useful background to their development, alongside determinants. Although it is assumed that the reader is familiar with everyday algebra and the solution of simultaneous linear equations, Matrix Transforms for Computer Games and Animation does not expect any prior knowledge of matrix notation. It includes chapters on matrix notation, determinants, matrices, 2D transforms, 3D transforms and quaternions, and includes many worked examples to illustrate their practical use.
Matrix and Analytical Methods for Performance Analysis of Telecommunication Systems
by Valeriy Naumov Yuliya Gaidamaka Natalia Yarkina Konstantin SamouylovThis introductory textbook is designed for a one-semester course on the use of the matrix and analytical methods for the performance analysis of telecommunication systems. It provides an introduction to the modelling and analysis of telecommunication systems for a broad interdisciplinary audience of students in mathematics and applied disciplines such as computer science, electronics engineering, and operations research.
Matrix-Based Introduction to Multivariate Data Analysis
by Kohei AdachiThis is the first textbook that allows readers who may be unfamiliar with matrices to understand a variety of multivariate analysis procedures in matrix forms. By explaining which models underlie particular procedures and what objective function is optimized to fit the model to the data, it enables readers to rapidly comprehend multivariate data analysis. Arranged so that readers can intuitively grasp the purposes for which multivariate analysis procedures are used, the book also offers clear explanations of those purposes, with numerical examples preceding the mathematical descriptions.Supporting the modern matrix formulations by highlighting singular value decomposition among theorems in matrix algebra, this book is useful for undergraduate students who have already learned introductory statistics, as well as for graduate students and researchers who are not familiar with matrix-intensive formulations of multivariate data analysis.The book begins by explaining fundamental matrix operations and the matrix expressions of elementary statistics. Then, it offers an introduction to popular multivariate procedures, with each chapter featuring increasing advanced levels of matrix algebra. Further the book includes in six chapters on advanced procedures, covering advanced matrix operations and recently proposed multivariate procedures, such as sparse estimation, together with a clear explication of the differences between principal components and factor analyses solutions. In a nutshell, this book allows readers to gain an understanding of the latest developments in multivariate data science.
Matrix-Based Introduction to Multivariate Data Analysis
by Kohei AdachiThis book enables readers who may not be familiar with matrices to understand a variety of multivariate analysis procedures in matrix forms. Another feature of the book is that it emphasizes what model underlies a procedure and what objective function is optimized for fitting the model to data. The author believes that the matrix-based learning of such models and objective functions is the fastest way to comprehend multivariate data analysis. The text is arranged so that readers can intuitively capture the purposes for which multivariate analysis procedures are utilized: plain explanations of the purposes with numerical examples precede mathematical descriptions in almost every chapter. This volume is appropriate for undergraduate students who already have studied introductory statistics. Graduate students and researchers who are not familiar with matrix-intensive formulations of multivariate data analysis will also find the book useful, as it is based on modern matrix formulations with a special emphasis on singular value decomposition among theorems in matrix algebra. The book begins with an explanation of fundamental matrix operations and the matrix expressions of elementary statistics, followed by the introduction of popular multivariate procedures with advancing levels of matrix algebra chapter by chapter. This organization of the book allows readers without knowledge of matrices to deepen their understanding of multivariate data analysis.
Maturing the Snowflake Data Cloud: A Templated Approach to Delivering and Governing Snowflake in Large Enterprises
by Andrew Carruthers Sahir AhmedThis project-oriented book gives you a hands-on approach to designing, developing, and templating your Snowflake platform delivery. Written by seasoned Snowflake practitioners, the book is full of practical guidance and advice to accelerate and mature your Snowflake journey. Working through the examples helps you develop the skill, knowledge, and expertise to expand your organization’s core Snowflake capability and prepare for later incorporation of additional Snowflake features as they become available. Your Snowflake platform will be resilient, fit for purpose, extensible, and guarantee rapid, consistent, and repeatable, pattern-based deployments ready for application delivery.When a Snowflake account is delivered there are no controls, guard rails, external monitoring, nor governance mechanisms baked in. From a large organization perspective, this book explains how to deliver your core Snowflake platform in the form of a Landing Zone, a consistent, templated approach that assumes familiarity with Snowflake core concepts and principles. The book also covers Snowflake from a governance perspective and addresses the “who can see what?” question, satisfying requirements to know for certain that your Snowflake accounts properly adhere to your organization’s data usage policies.The book provides a proven pathway to success by equipping you with skill, knowledge, and expertise to accelerate Snowflake adoption within your organization. The patterns delivered within this book are used for production deployment, and are proven in real-world use. Examples in the book help you succeed in an environment in which governance policies, processes, and procedures oversee and control every aspect of your Snowflake platform development and delivery life cycle. Your environment may not be so exacting, but you’ll still benefit from the rigorous and demanding perspective this book’s authors bring to the table. The book shows you how to leverage what you already know and adds what you don’t know, all applied to deliver your Snowflake accounts. You will know how to position your organization to deliver consistent Snowflake accounts that are prepared and ready for immediate application development.What You Will LearnCreate a common, consistent deployment framework for Snowflake in your organizationEnable rapid up-skill and adoption of Snowflake, leveraging the benefits of cloud platformsDevelop a deep understanding of Snowflake administration and configurationImplement consistent, approved design patterns that reduce account provisioning timesManage data consumption by monitoring and controlling access to datasetsWho This Book Is ForSystems administrators charged with delivering a common implementation pattern for all Snowflake accounts within an organization; senior managers looking to simplify the delivery of complex technology into their existing infrastructure; developers seeking to understand guard rails, monitoring, and controls to ensure that Snowflake meets their organization's requirements; sales executives needing to understand how their data usage can be monitored and gain insights into how their data is being consumed; governance colleagues wanting to know who can see each data set, and wanting to identify toxic role combinations, and have confidence that their Snowflake accounts are properly provisioned
Maturity and Innovation in Digital Libraries: 20th International Conference on Asia-Pacific Digital Libraries, ICADL 2018, Hamilton, New Zealand, November 19-22, 2018, Proceedings (Lecture Notes in Computer Science #11279)
by Milena Dobreva Annika Hinze Maja ŽumerThis book constitutes the refereed proceedings of the 20th International Conference on Asia-Pacific Digital Libraries, ICADL 2018, held in Hamilton, New Zealand, in November 2018. The 20 full, 6 short, and 11 work in progress papers presented in this volume were carefully reviewed and selected from 77 submissions. The papers were organized in topical sections named: topic modeling and semantic analysis; social media, web, and news; heritage and localization; user experience; digital library technology; and use cases and digital librarianship.
Maven Build Customization
by Roberto Baldi Lorenzo AnarduThis book is for developers and delivery managers who have some experience with Maven and Java, but want to extend their knowledge to automate the building process, thereby reducing human errors.
Maven Essentials
by Prabath SiriwardenaGet started with the essentials of Apache Maven and get your build automation system up and running quickly About This Book * Explore the essentials of Apache Maven essentials to arm yourself with all the ingredients needed to develop a comprehensive build automation system * Identify the extension points in Apache Maven and learn more about them in-depth * Improve developer productivity by optimizing the build process with best practices in Maven using this compact guide Who This Book Is For The book is ideal for for experienced developers who are already familiar with build automation, but want to learn how to use Maven and apply its concepts to the most difficult scenarios in build automation. What You Will Learn * Comprehend the key concepts in Apache Maven * Build your own custom plugins and get to know how Maven extension points are used * Troubleshoot build issues with greater confidence * Optimize Maven's configuration settings * Write custom lifecycles and extensions * Get hands-on and create a Maven assembly * Explore the best practices to design a build system that improves developer productivity In Detail Maven is the #1 build tool used by developers and it has been around for more than a decade. Maven stands out among other build tools due to its extremely extensible architecture, which is built on of the concept of convention over configuration. It's widely used by many open source Java projects under Apache Software Foundation, Sourceforge, Google Code, and more. Maven Essentials is a fast-paced guide to show you the key concepts in Maven and build automation. We get started by introducing you to Maven and exploring its core concepts and architecture. Next, you will learn about and write a Project Object Model (POM) while creating your own Maven project. You will also find out how to create custom archetypes and plugins to establish the most common goals in build automation. After this, you'll get to know how to design the build to prevent any maintenance nightmares, with proper dependency management. We then explore Maven build lifecycles and Maven assemblies. Finally, you will discover how to apply the best practices when designing a build system to improve developer productivity. Style and approach This book is a practical and compact guide that will show you how to use Apache Maven in an optimal way to address enterprise build requirements. It provides technical guidance to get you started with Maven and build automation.
Maven for Eclipse
by Sanjay ShahIf you want to learn about Maven and use it from within Eclipse to develop Java projects, this is the book for you. Prior experience in developing Java projects and using the Eclipse IDE is presumed. Whether you are a beginner or an experienced developer, this book will get you up and running quickly, with a hands-on approach.
Maven: A Developer's Notebook
by Tim O'Brien Vincent MassolMaven is a new project management and comprehension tool which provides an elegant way to share build logic across projects. In terms of capabilities, Maven is an improvement to Apache Ant-thanks to numerous plug-ins and built-in integration with unit testing frameworks such as JUnit. Tired of writing the same build logic for every project? Using Maven, you can leverage the experience of the community to avoid the tedious process of creating yet another build script for each new project. Maven: A Developer's Notebook begins by introducing you to the concept of project object model (POM), and then offers further details on the essential features of Maven. Like all titles in O'Reilly's Developer's Notebook series, this no-nonsense book skips the boring prose and cuts right to the chase. It's an approach that forces you to get your hands dirty by working through a series of poignant labs-exercises that speak to you instead of at you. Plus, Maven: A Developer's Notebook is the first book on the subject to hit the market, so you know the information is fresh and timely. If you're a Java programmer, you'll be armed with all the critical information you need to get up to speed on this powerful new build tool. You'll discover how Maven can help you: manage a project's build, reporting, and documentation, all from a central piece of information break a complex project into a series of smaller subprojects report on code quality, unit tests, code duplication, and project activity create a custom remote repository build simple and complex plug-ins In the end, you'll find yourself spending less time working on your project's build system and more time working on your project's code.
Maven: A Developer's Notebook
by Vincent Massol Timothy M. O'BrienMaven is a new project management and comprehension tool which provides an elegant way to share build logic across projects. In terms of capabilities, Maven is an improvement to Apache Ant-thanks to numerous plug-ins and built-in integration with unit testing frameworks such as JUnit. Tired of writing the same build logic for every project? Using Maven, you can leverage the experience of the community to avoid the tedious process of creating yet another build script for each new project. Maven: A Developer's Notebook begins by introducing you to the concept of project object model (POM), and then offers further details on the essential features of Maven. Like all titles in O'Reilly's Developer's Notebook series, this no-nonsense book skips the boring prose and cuts right to the chase. It's an approach that forces you to get your hands dirty by working through a series of poignant labs-exercises that speak to you instead of at you. Plus, Maven: A Developer's Notebook is the first book on the subject to hit the market, so you know the information is fresh and timely. If you're a Java programmer, you'll be armed with all the critical information you need to get up to speed on this powerful new build tool. You'll discover how Maven can help you: manage a project's build, reporting, and documentation, all from a central piece of information break a complex project into a series of smaller subprojects report on code quality, unit tests, code duplication, and project activity create a custom remote repository build simple and complex plug-ins In the end, you'll find yourself spending less time working on your project's build system and more time working on your project's code.
Maven: The Definitive Guide
by Sonatype CompanyWritten by Maven creator Jason Van Zyl and his team at Sonatype, Maven: The Definitive Guide clearly explains how this popular tool can bring order to your software development projects. The first part of the book demonstrates Maven's capabilities through the development of several sample applications from ideation to deployment, and the second part offers a complete reference guide. Concise and to the point, this is the only guide you need to manage your project.
Maven: The Definitive Guide
by Sonatype CompanyFor too long, developers have worked on disorganized application projects, where every part seemed to have its own build system, and no common repository existed for information about the state of the project. Now there's help. The long-awaited official documentation to Maven is here.Written by Maven creator Jason Van Zyl and his team at Sonatype, Maven: The Definitive Guide clearly explains how this tool can bring order to your software development projects. Maven is largely replacing Ant as the build tool of choice for large open source Java projects because, unlike Ant, Maven is also a project management tool that can run reports, generate a project website, and facilitate communication among members of a working team.To use Maven, everything you need to know is in this guide. The first part demonstrates the tool's capabilities through the development, from ideation to deployment, of several sample applications -- a simple software development project, a simple web application, a multi-module project, and a multi-module enterprise project.The second part offers a complete reference guide that includes:The POM and Project RelationshipsThe Build LifecyclePluginsProject website generationAdvanced site generationReportingPropertiesBuild ProfilesThe Maven RepositoryTeam CollaborationWriting PluginsIDEs such as Eclipse, IntelliJ, ands NetBeansUsing and creating assembliesDeveloping with Maven ArchetypesSeveral sources for Maven have appeared online for some time, but nothing served as an introduction and comprehensive reference guide to this tool -- until now. Maven: The Definitive Guide is the ideal book to help you manage development projects for software, web applications, and enterprise applications. And it comes straight from the source.
Maximal Planar Graph Theory and the Four-Color Conjecture
by Jin XuThis open access book integrates foundational principles with advanced methodologies concerning maximal planar graphs. It offers readers an exceptional examination of graph structures, chromatic polynomials, and the construction and proof techniques of the Four-Color Conjecture. It is tailored for researchers, educators, and students involved in graph theory, combinatorics, and computational mathematics. The book consists of nine meticulously developed chapters. It starts with fundamental concepts in graph theory and then advances to pioneering computational proofs and recursive formulas of the chromatic number related to maximal planar graphs. Notable features include comprehensive discharging techniques, innovative approaches for constructing graphs of various orders, and groundbreaking conjectures concerning tree-colorability and unique four-colorability. The concluding chapter introduces Kempe's changes, offering new insights into the dynamics of graph coloring. Whether you are an academic enhancing your theoretical knowledge or a student searching for clear explanations for complex concepts, this book provides essential tools for navigating and addressing some of the most intricate challenges in graph theory. Its rigorous analysis and computational techniques equip readers with the necessary skills to engage deeply with maximal planar graph problems, making it an indispensable resource for advancing research and practical applications. No prior knowledge is necessary; however, a foundational understanding of graph theory is advised. This opportunity presents a chance to explore innovative perspectives and methodologies that expand the horizons of mathematical inquiry and proof development.
Maximize Your Investment: 10 Key Strategies for Effective Packaged Software Implementations
by Grady Brett BeaubouefThis is a handbook covering ten principles for packaged software implementations that project managers, business owners, and IT developers should pay attention to. The book also has practical real-world coverage including a sample agenda for conducting business solution modeling, customer case studies, and a road map to implement guiding principles. This book is aimed at enterprise architects, development leads, project managers, business systems analysts, business systems owners, and anyone who wants to implement packaged software effectively. If you are a customer looking to implement COTS software in the future then this book will provide a strategy to maximize your investment. If you are in an internal IT role and you find that your internal software development methodology doesn't quite work for an off-the-shelf business software package then this book will provide you with perspective on how to adjust your approach. If you are an implementation partner looking to minimize the blood, sweat, and tears shed with implementing COTS software then this book will be a guide to filter out obstacles and enable implementation focus.
Maximize Your Social: A One-Stop Guide to Building a Social Media Strategy for Marketing and Business Success
by Neal SchafferToday, a large number of companies still don't have a strategic approach to social media. Others fail to calculate how effective they are at social media, one of the critical components of implementing any social media strategy. When companies start spending time and money on their social media efforts, they need to create an internal plan that everyone can understand. Maximize Your Social offers a clear vision of what businesses need to do to create--and execute upon--their social media for business road map.