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Splash!
by Ann JonasIt's hard to keep up with the goings-on at Ann Jonas's pond. What fun young readers will have keeping track! Cat. Dog. Frog. Fish. Who went in and who jumped out? Here is a counting book as fresh as a spring-fed pond.
Splash!: Modeling and Measurement Applications for Young Learners in Grades K-1
by Clg Of William And Mary/Ctr Gift Ed Virginia Caine TonnesonSplash! is a mathematics unit for high-ability learners in kindergarten and first grade focusing on concepts related to linear measurement, the creativity elements of fluency and flexibility, and the overarching, interdisciplinary concept of models. The unit consists of 13 lessons centered on the idea of designing a community pool. Students examine the question of why we measure, the importance of accuracy in measurement, and the various units and tools of measurement. The unit presents a hands-on, constructivist approach, allowing children to build their knowledge base and their skills as they explore mathematical ideas through play and planned investigations. Students are involved in creative and critical thinking, problem solving, process skill development, and communication.Grades K-1
Spline Collocation Methods for Partial Differential Equations: With Applications in R
by William E. SchiesserA comprehensive approach to numerical partial differential equations Spline Collocation Methods for Partial Differential Equations combines the collocation analysis of partial differential equations (PDEs) with the method of lines (MOL) in order to simplify the solution process. Using a series of example applications, the author delineates the main features of the approach in detail, including an established mathematical framework. The book also clearly demonstrates that spline collocation can offer a comprehensive method for numerical integration of PDEs when it is used with the MOL in which spatial (boundary value) derivatives are approximated with splines, including the boundary conditions. R, an open-source scientific programming system, is used throughout for programming the PDEs and numerical algorithms, and each section of code is clearly explained. As a result, readers gain a complete picture of the model and its computer implementation without having to fill in the details of the numerical analysis, algorithms, or programming. The presentation is not heavily mathematical, and in place of theorems and proofs, detailed example applications are provided. Appropriate for scientists, engineers, and applied mathematicians, Spline Collocation Methods for Partial Differential Equations: Introduces numerical methods by first presenting basic examples followed by more complicated applications Employs R to illustrate accurate and efficient solutions of the PDE models Presents spline collocation as a comprehensive approach to the numerical integration of PDEs and an effective alternative to other, well established methods Discusses how to reproduce and extend the presented numerical solutions Identifies the use of selected algorithms, such as the solution of nonlinear equations and banded or sparse matrix processing Features a companion website that provides the related R routines Spline Collocation Methods for Partial Differential Equations is a valuable reference and/or self-study guide for academics, researchers, and practitioners in applied mathematics and engineering, as well as for advanced undergraduates and graduate-level students.
Spline and Spline Wavelet Methods with Applications to Signal and Image Processing
by Pekka Neittaanmäki Amir Z. Averbuch Valery A. ZheludevThis book presents various contributions of splines to signal and image processing from a unified perspective that is based on the Zak transform (ZT). It expands the methodology from periodic splines, which were presented in the first volume, to non-periodic splines. Together, these books provide a universal toolbox accompanied by MATLAB software for manipulating polynomial and discrete splines, spline-based wavelets, wavelet packets and wavelet frames for signal/ image processing applications. In this volume, we see that the ZT provides an integral representation of discrete and polynomial splines, which, to some extent, is similar to Fourier integral. The authors explore elements of spline theory and design, and consider different types of polynomial and discrete splines. They describe applications of spline-based wavelets to data compression. These splines are useful for real-time signal processing and, in particular, real-time wavelet and frame transforms. Further topics addressed in this volume include: "global" splines, such as interpolating, self-dual and smoothing, whose supports are infinite; the compactly supported quasi-interpolating and smoothing splines including quasi-interpolating splines on non-uniform grids; and cubic Hermite splines as a source for the design of multiwavelets and multiwavelet frames. Readers from various disciplines including engineering, computer science and mathematical information technology will find the descriptions of algorithms, applications and software in this book especially useful.
Splines and PDEs: Cetraro, Italy 2017 (Lecture Notes in Mathematics #2219)
by Tom Lyche Giancarlo Sangalli Stefano Serra-Capizzano Angela Kunoth Carla Manni Hendrik SpeleersThis book takes readers on a multi-perspective tour through state-of-the-art mathematical developments related to the numerical treatment of PDEs based on splines, and in particular isogeometric methods. A wide variety of research topics are covered, ranging from approximation theory to structured numerical linear algebra. More precisely, the book provides (i) a self-contained introduction to B-splines, with special focus on approximation and hierarchical refinement, (ii) a broad survey of numerical schemes for control problems based on B-splines and B-spline-type wavelets, (iii) an exhaustive description of methods for computing and analyzing the spectral distribution of discretization matrices, and (iv) a detailed overview of the mathematical and implementational aspects of isogeometric analysis. The text is the outcome of a C.I.M.E. summer school held in Cetraro (Italy), July 2017, featuring four prominent lecturers with different theoretical and application perspectives. The book may serve both as a reference and an entry point into further research.
Splines and Variational Methods (Dover Books on Mathematics)
by P. M. PrenterOne of the clearest available introductions to variational methods, this text requires only a minimal background in calculus and linear algebra. Its self-contained treatment explains the application of theoretic notions to the kinds of physical problems that engineers regularly encounter. The text's first half concerns approximation theoretic notions, exploring the theory and computation of one- and two-dimensional polynomial and other spline functions. Later chapters examine variational methods in the solution of operator equations, focusing on boundary value problems in one and two dimensions. Additional topics include least squares and other Galerkin methods. Many helpful definitions, examples, and exercises appear throughout the book. A classic reference in spline theory, this volume will benefit experts as well as students of engineering and mathematics.
Splitting Algorithms, Modern Operator Theory, and Applications
by Heinz H. Bauschke Regina S. Burachik D. Russell LukeThis book brings together research articles and state-of-the-art surveys in broad areas of optimization and numerical analysis with particular emphasis on algorithms. The discussion also focuses on advances in monotone operator theory and other topics from variational analysis and nonsmooth optimization, especially as they pertain to algorithms and concrete, implementable methods. The theory of monotone operators is a central framework for understanding and analyzing splitting algorithms. Topics discussed in the volume were presented at the interdisciplinary workshop titled Splitting Algorithms, Modern Operator Theory, and Applications held in Oaxaca, Mexico in September, 2017. Dedicated to Jonathan M. Borwein, one of the most versatile mathematicians in contemporary history, this compilation brings theory together with applications in novel and insightful ways.
Splitting Methods in Communication, Imaging, Science, and Engineering
by Wotao Yin Roland Glowinski Stanley J. OsherThis book is about computational methods based on operator-splitting. The three editors, while all being applied mathematicians whose expertise include splitting methods, work in different application areas including computational mechanics, image processing, wireless communication, nonlinear optics (optical fibers), and so on. Therefore, the book will present very versatile aspects of splitting methods and their applications, motivating the cross-fertilization of ideas.
Splunk Certified Study Guide: Prepare for the User, Power User, and Enterprise Admin Certifications
by Deep MehtaMake your Splunk certification easier with this exam study guide that covers the User, Power User, and Enterprise Admin certifications. This book is divided into three parts. The first part focuses on the Splunk User and Power User certifications starting with how to install Splunk, Splunk Processing Language (SPL), field extraction, field aliases and macros, and Splunk tags. You will be able to make your own data model and prepare an advanced dashboard in Splunk.In the second part, you will explore the Splunk Admin certification. There will be in-depth coverage of Splunk licenses and user role management, and how to configure Splunk forwarders, indexer clustering, and the security policy of Splunk. You’ll also explore advanced data input options in Splunk as well as .conf file merging logic, btool, various attributes, stanza types, editing advanced data inputs through the .conf file, and various other types of .conf file in Splunk.The concluding part covers the advanced topics of the Splunk Admin certification. You will also learn to troubleshoot Splunk and to manage existing Splunk infrastructure. You will understand how to configure search head, multi-site indexer clustering, and search peers besides exploring how to troubleshoot Splunk Enterprise using the monitoring console and matrix.log. This part will also include search issues and configuration issues. You will learn to deploy an app through a deployment server on your client’s instance, create a server class, and carry out load balancing, socks proxy, and indexer discovery.By the end of the Splunk Certified Study Guide, you will have learned how to manage resources in Splunk and how to use REST API services for Splunk. This section also explains how to set up Splunk Enterprise on the AWS platform and some of the best practices to make them work efficiently together.The book offers multiple choice question tests for each part that will help you better prepare for the exam.What You Will LearnStudy to pass the Splunk User, Power User, and Admin certificate examsImplement and manage Splunk multi-site clusteringDesign, implement, and manage a complex Splunk Enterprise solutionMaster the roles of Splunk Admin and troubleshootingConfigure Splunk using AWSWho This Book Is For People looking to pass the User, Power User, and Enterprise Admin exams. It is also useful for Splunk administrators and support engineers for managing an existing deployment.
Sport Analytics: A data-driven approach to sport business and management
by Gil Fried and Ceyda MumcuThe increasing availability of data has transformed the way sports are played, promoted and managed. This is the first textbook to explain how the big data revolution is having a profound influence across the sport industry, demonstrating how sport managers and business professionals can use analytical techniques to improve their professional practice. While other sports analytics books have focused on player performance data, this book shows how analytics can be applied to every functional area of sport business, from marketing and event management to finance and legal services. Drawing on research that spans the entire sport industry, it explains how data is influencing the most important decisions, from ticket sales and human resources to risk management and facility operations. Each chapter contains real world examples, industry profiles and extended case studies which are complimented by a companion website full of useful learning resources. Sport Analytics: A data-driven approach to sport business and management is an essential text for all sport management students and an invaluable reference for any sport management professional involved in operational research.
Sport and Migration: Borders, Boundaries and Crossings
by Joseph MaguireFrom Major League Baseball to English soccer’s Premier League, all successful contemporary professional sports leagues include a wide diversity of nationalities and ethnicities within their playing and coaching rosters. The international migration of sporting talent and labor, encouraged and facilitated by the social and economic undercurrents of globalization, mean that world sport is now an important case study for any student or researcher with an interest in international labor flows, economic migration, global demography or the interdependent world economy. In this dazzling collection of papers, leading international sport studies scholars chart the patterns, policies and personal experiences of labour migration within and around sport, and in doing so cast important new light both on the forces shaping modern sport and on the role that sport plays in shaping the world economy and global society. Presenting original case studies of sports from European and African soccer to Japanese baseball to rugby union in New Zealand, the book makes an important contribution to our understanding of a wide range of issues within contemporary social science, such as national identity politics, economic structure and organization, north-south relations, imperial legacies and gender relations. This book is invaluable reading for students and researchers working in sport studies, human geography, economics or international business.
Sport- und Gesundheitstourismus 2030: Wie die „Generation plus“ den Markt verändert
by Pamela Heise Michaela Axt-GadermannDieses Fachbuch fokussiert auf das sport- und gesundheitstouristische Nachfrageverhalten der "Generation plus". Einer Konsumentengruppe in ihrer zweiten Lebenshälfte, die mit einer großen Neugier in Bezug auf sich selbst und die Welt und einem Plus an Interessen, Anspruch und Kaufkraft ausgestattet ist. Durch die sich wandelnden soziodemographischen, ökonomischen und klimatischen Rahmenbedingungen ergeben sich auch im Bereich der Freizeit- und Tourismusbranche signifikante Änderungen zu den bisherigen Nachfrage- und Angebotsstrukturen. Destinationen, die sich bereits jetzt mit der wachsenden Zahl reifer Touristen beschäftigen, stellen ihre Weichen in Richtung Zukunft.Das Buch greift vor dem Hintergrund des demographischen Wandels aktuelle touristische Entwicklungen und zukünftige Herausforderungen auf, denen sich Destinationen und Anbieter im Sinne der Wettbewerbsfähigkeit stellen müssen. Das Buch richtet sich durch die Symbiose aus Theorie und Praxis im Sinne eines Handlungsleitfadens u.a. an Entscheider und Produktentwickler im touristischen Destinations- und Eventkontext, an Lehrende und Studierende sowie an alle, die eine anregende Lektüre suchen.
Sportinformatik: Modellbildung, Simulation, Datenanalyse und Visualisierung von sportbezogenen Daten
by Daniel MemmertIn den letzten Jahren ist die Sportinformatik extrem gewachsen, vor allem weil immer mehr und neuere Daten verfügbar wurden. Sportinformatische Tools – sei es im Training zur Gegnervorbereitung, im Wettkampf oder in der Wissenschaft – sind im Sport heute auf unterschiedlichen Expertise-Ebenen unverzichtbar. Durch den Einsatz in den vier großen Anwendungsfeldern Vereine und Verbände, Wirtschaft, Wissenschaft sowie Medien ist ein völlig neuer Markt entstanden, der innerhalb der universitären Forschungs- und Lehraktivitäten zunehmend an Bedeutung gewinnt.Dieses Lehrbuch möchte der mittlerweile breiten Vielfalt der Sportinformatik gerecht werden, indem mehr als 30 Autorinnen und Autoren aus ihrem Spezialgebiet berichten und neueste Erkenntnisse prägnant zusammenfassen. Das Werk gliedert sich in vier Hauptabschnitte: Datensätze, Modellbildung, Simulation sowie Datenanalyse. Neben Hintergründen zu Programmiersprachen und zur Visualisierung wird es von der Historie und einem Ausblick eingerahmt. Studierende mit Bezug zur Sportwissenschaft erhalten einen umfassenden Einblick in die Sportinformatik, unterstützt durch ein didaktisch ausgefeiltes Konzept, das eine einfache Vermittlung der Lerninhalte ermöglicht. Zahlreiche digitale Übungsfragen untermauern den Lerneffekt und gewährleisten eine optimale Prüfungsvorbereitung. Für Fortgeschrittene bietet die vertiefende Diskussion von Zeitreihen Data Mining, künstlichen neuronalen Netzwerken, Convolution Kernel, Transfer Learning und Random Forests einen zusätzlichen Mehrwert.
Sports Analytics in Practice with R
by Ted KwartlerSports Analytics in Practice with R A practical guide for those looking to employ the latest and leading analytical software in sport In the last twenty years, sports organizations have become a data-driven business. Before this, most decisions in sports were qualitatively driven by subject-matter experts. In the years since numerous teams found success with “Money Ball” analytical perspectives, the industry has sought to advance its analytical acumen to improve on- and off-field outcomes. The increasing demand for data to inform decisions for coaches, scouts, and players before and during sporting events has led to intriguing efforts to build upon this quantitative approach. As this methodology for assessing performance has matured and grown in importance, so too has the open-source R software emerged as one of the leading analytical software packages. In fact, R is a top 10 programming language that is useful in academia and industry for statistics, machine learning, and rapid prototyping. Sports Analytics in Practice with R neatly marries these two advances to teach basic analytics for sports-related use—from cricket to baseball, from basketball to tennis, from soccer to sports gambling, and more. Sports Analytics in Practice with R readers will also find: A broad perspective of sports, focusing on a wide range of sports rather than just one The first book of its kind that features coding examples Case study approach throughout the book Companion website including data sets to work through alongside the explanations Sports Analytics in Practice with R is a helpful tool for students and professionals in the sports management field, but also for sports enthusiasts who have a coding background.
Sports Analytics: A Guide for Coaches, Managers, and Other Decision Makers
by Benjamin AlamarBenjamin C. Alamar founded the first journal dedicated to sports statistics, the Journal of Quantitative Analysis in Sports. He developed and teaches a class on sports analytics for managers at the University of San Francisco and has published numerous cutting-edge studies on strategy and player evaluation. Today, he cochairs the sports statistics section of the International Statistics Institute and consults with several professional teams and businesses in sports analytics. There isn't a better representative of this emerging field to show diverse organizations how to implement analytics into their decision-making strategies, especially as analytic tools grow increasingly complex. Alamar provides a clear, easily digestible survey of the practice and a detailed understanding of analytics' vast possibilities. He explains how to evaluate different programs and put them to use. Using concrete examples from professional sports teams and case studies demonstrating the use and value of analytics in the field, Alamar designs a roadmap for managers, general managers, and other professionals as they build their own programs and teach their approach to others.
Sports Analytics: A Guide for Coaches, Managers, and Other Decision Makers
by Benjamin AlamarData and analytics have the potential to provide sports organizations with a competitive advantage both on and off the field. Yet even as the use of analytics in sports has become commonplace, teams regularly find themselves making big investments without significant payoff.This book is a practical, nontechnical guide to incorporating sports data into decision making, giving leaders the knowledge they need to maximize their organization’s investment in analytics. Benjamin C. Alamar—a leading expert who has built high-performing analytics groups—surveys the current state of the use of data in sports, including both specifics around the tools and how to deploy them most effectively. Sports Analytics offers a clear, easily digestible overview of data management, statistical models, and information systems and a detailed understanding of their vast possibilities. It walks readers through the essentials of understanding the value of different types of data and strategies for building and managing an analytics team. Throughout, Alamar illustrates the value of analytics with real-world examples and case studies from both the sports and business sides.Sports Analytics has guided a range of sports professionals to success since its original publication in 2013. This second edition adds examples and strategies that focus on using data on the business side of a sports organization, provides concrete strategies for incorporating different types of data into decision making, and updates all discussions for the rapid technological developments of the last decade.
Sports Analytics: Data-Driven Sports and Decision Intelligence
by Dieu Hack-Polay Ali B. Mahmoud P. Mary Jeyanthi A. MansuraliIn "Sports Analytics: Data-Driven Sports and Decision Intelligence," embark on a journey through the exhilarating world of sports enhanced by the power of data-driven insights. From the nail-biting moments on the field to the strategic decisions behind the scenes, this comprehensive guide unveils the secrets that propel teams to victory and champions to greatness.It explores the cutting-edge techniques and methodologies that revolutionize the way we understand and analyze sports performance. From player evaluations to game strategies, injury prevention to fan engagement, this book equips you with the tools to gain a competitive edge in any sport. Whether you're a coach, player, analyst, or simply a passionate fan, this book will change the way you see the game. This book details how to use analytics and machine learning to highlight key performance indicators (KPIs) of sports for analysis. The authors show how to apply various statistical techniques, machine learning and data mining algorithms for on-field and off-field analysis. They go on to show how analytical algorithms are used in the sports ecosystem to derive solutions for the team and leadership, helping team managers and coaches to monitor games and player information through dashboards. The book then shows how to deploy machine learning algorithms for validating and improving teams and players performance. The book is relevant to professionals and academics working in machine learning and data analysis related to sports.
Sports Data Mining
by Hsinchun Chen Osama K. Solieman Robert P. SchumakerData mining is the process of extracting hidden patterns from data, and it's commonly used in business, bioinformatics, counter-terrorism, and, increasingly, in professional sports. First popularized in Michael Lewis' best-selling Moneyball: The Art of Winning An Unfair Game, it is has become an intrinsic part of all professional sports the world over, from baseball to cricket to soccer. While an industry has developed based on statistical analysis services for any given sport, or even for betting behavior analysis on these sports, no research-level book has considered the subject in any detail until now. Sports Data Mining brings together in one place the state of the art as it concerns an international array of sports: baseball, football, basketball, soccer, greyhound racing are all covered, and the authors (including Hsinchun Chen, one of the most esteemed and well-known experts in data mining in the world) present the latest research, developments, software available, and applications for each sport. They even examine the hidden patterns in gaming and wagering, along with the most common systems for wager analysis.
Sports Engineering and Computer Science: Proceedings of the International Conference on Sport Science and Computer Science (SSCS 2014), Singapore, 16-17 September 2014 (Advances in Sports Engineering and Technology)
by Qi LuoSports Engineering and Computer Science contains papers presented at the 2014 International Conference on Sport Science and Computer Science (SSCS 2014), held September 16-17, 2014 in Singapore and at the 2014 International Conference on Biomechanics and Sports Engineering (BSE 2014), held October 24-25, 2014, in Riga, Latvia. The contributions hav
Sports Math (Math 24/7)
by Rae SimonsThe speed of a pitch, the number of points scored, the time left on the clock . . . math is everywhere in the world of sports. Learn about the numbers and statistics behind sports like baseball, basketball, and football--and you'll find you understand the sports you love even better. In Sports Math, you'll discover that the math you learn in the classroom is just as important on the soccer field and basketball court.
Sports Research with Analytical Solution using SPSS
by J. P. VermaA step-by-step approach to problem-solving techniques using SPSS® in the fields of sports science and physical education Featuring a clear and accessible approach to the methods, processes, and statistical techniques used in sports science and physical education, Sports Research with Analytical Solution using SPSS® emphasizes how to conduct and interpret a range of statistical analysis using SPSS. The book also addresses issues faced by research scholars in these fields by providing analytical solutions to various research problems without reliance on mathematical rigor. Logically arranged to cover both fundamental and advanced concepts, the book presents standard univariate and complex multivariate statistical techniques used in sports research such as multiple regression analysis, discriminant analysis, cluster analysis, and factor analysis. The author focuses on the treatment of various parametric and nonparametric statistical tests, which are shown through the techniques and interpretations of the SPSS outputs that are generated for each analysis. Sports Research with Analytical Solution using SPSS® also features: Numerous examples and case studies to provide readers with practical applications of the analytical concepts and techniques Plentiful screen shots throughout to help demonstrate the implementation of SPSS outputs Illustrative studies with simulated realistic data to clarify the analytical techniques covered End-of-chapter short answer questions, multiple choice questions, assignments, and practice exercises to help build a better understanding of the presented concepts A companion website with associated SPSS data files and PowerPoint® presentations for each chapter Sports Research with Analytical Solution using SPSS® is an excellent textbook for upper-undergraduate, graduate, and PhD-level courses in research methods, kinesiology, sports science, medicine, nutrition, health education, and physical education. The book is also an ideal reference for researchers and professionals in the fields of sports research, sports science, physical education, and social sciences, as well as anyone interested in learning SPSS.
Spots: Counting Creatures from Sky to Sea
by Carolyn LesserFrom one leopard ray in the open ocean to ten tundra butterflies in the Arctic sky, Carolyn Lesser's playful language celebrates the rich and varied wildlife of our earth. Each of the ten creatures presented lives in a different biome.
Sprachbildung in der Lehramtsausbildung Mathematik: Konzepte für eine sprachbewusste Hochschullehre
by Florian Schacht Susanne GuckelsbergerWie lassen sich Fachdidaktik und Sprachbildung im Lehramtsstudium so verknüpfen, dass zukünftige Mathematiklehrkräfte optimal auf sprachbewussten Fachunterricht vorbereitet werden? Dieser Frage geht dieses Open Access Buch aus interdisziplinärer Perspektive nach – fachlich fundiert, forschungsorientiert und anschaulich:Die vorgestellten Leitideen und Design-Prinzipien für eine sprachbewusste Hochschullehre bilden den konzeptionellen Rahmen, der auch für die Weiterentwicklung eigener Lehrveranstaltungen genutzt werden kann.An zahlreichen empirischen Beispielen aus Schule und Hochschule werden Synergien zwischen Mathematikdidaktik und Sprachbildung aufgezeigt und Vorschläge für die konkrete Ausgestaltung der Hochschullehre gemacht.Einen besonderen Schwerpunkt bildet das Forschende Lernen in Praxisphasen an der Schnittstelle von Fach und Sprache.Impulse aus anderen Fachdidaktiken (Informatik, Chemie) eröffnen Transfermöglichkeiten.Mit seinen vielfältigen Einblicken in das hochaktuelle Thema Sprachbildung im Fachunterricht als Gegenstand einer sprachbewussten Hochschullehre ist das Buch für Hochschuldozierende und Studierende in der Lehramtsausbildung Mathematik gleichermaßen von Interesse.Das Buchbietet Konzepte für die Verknüpfung von Mathematikdidaktik und Sprachbildung in der Lehrkräfteausbildung Mathematik,ist interdisziplinär und forschungsorientiert,ist geeignet für Hochschuldozierende und Studierende.Das Buch ist unter den Bedingungen der Creative Commons Attribution 4.0 International License über SpringerLink (link.springer.com) frei zugänglich.