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Maths Learning Difficulties, Dyslexia and Dyscalculia: Second Edition
by Steve ChinnWritten by a world authority on maths difficulties in children, this accessible guide provides tried and tested visual strategies and tailored techniques to help teachers and parents support children with SpLDs who need help with maths.Drawing on the latest research, into areas such as cognition and meta-cognition, along with the authors' decades of teaching experience, the book offers insight into how maths learning difficulties, including dyslexia, dyscalculia and maths anxiety, make maths difficult. Each chapter looks at foundational areas of maths learning that children may struggle with, from early number experiences to basic addition and subtraction, times tables, measurement and more. Essential reading for any teacher, learning assistant or parent supporting children with maths.
Advanced Linear Algebra (Textbooks in Mathematics)
by Bruce CoopersteinThis book discusses structure theory of an operator, topics on inner product spaces, and trace and determinant functions of a linear operator. It addresses bilinear forms with a full treatment of symplectic spaces and orthogonal spaces, as well as explains construction of tensor, symmetric, and exterior algebras. Featuring several new exercises, the second edition adds coverage of sesquilinear forms, linear groups, matrices, normed vector spaces, orthogonal spaces over perfect fields of characteristic two, and Clifford algebras. A solutions manual is available upon qualifying course adoption.
R for Programmers: Mastering the Tools
by Dan ZhangUnlike other books about R, written from the perspective of statistics, this book is written from the perspective of programmers, providing a channel for programmers with expertise in other programming languages to quickly understand R. The contents are divided into four parts: the basics of R, the server of R, databases and big data, and the appendices, which introduce the installation of Java, various databases, and Hadoop. Because this is a reference book, there is no special sequence for reading all the chapters. Anyone new to the subject who wishes to master R comprehensively can simply follow the chapters in sequence.
Start Programming Using HTML, CSS, and JavaScript (Chapman & Hall/CRC Textbooks in Computing #17)
by Iztok FajfarThis text is a manual for undergraduate students in engineering and the natural sciences to discover how computer programming works. Using a dialog format between two students and a professor, the text teaches students how the mainstream web languages HTML, CSS, and JavaScript interact and how to harness their capabilities in practical settings. Each chapter focuses on a specific theme supported by a gradual development of engaging worked examples of live web documents and applications using the three languages.
Robert Rosen and Relational System Theory: An Overview (Anticipation Science #8)
by James Bryan LennoxThis book focuses on Robert Rosen’s contributions to relational system theory, which is the science of organization and function. This science was originally developed by Nicolas Rashevsky, and further developed by Rashevsky’s student Robert Rosen, and continues to be developed by Rosen’s student A. H. Louie amongst others. Due to its revolutionary character, it is often misunderstood, and to some, controversial. The formal and conceptual setting for Rosen’s relational system theory is category theory. Rosen was the first to apply category theory to scientific problems, outside of pure mathematics, and the first to think about science from the point of view of category theory. To better understand the work of Rosen, this book provides an overview of his theory of modeling, complexity, anticipation, and organism. It presents the foundations of this science and the philosophical motivations behind it along with conceptual clarification and historical context in order to present Rosen’s ideas to a wider audience.
Socio-Spatial Dynamics in Mediterranean Europe: Exploring Metropolitan Structural Processes and Short-term Change (Spatial Demography Book Series #3)
by José María Feria-Toribio Ricardo Iglesias-Pascual Federico BenassiThis book analyses the most recent socio-territorial trends that are developing in the Spanish metropolitan space. The first part focuses on the most recent metropolitan dynamics and demographic changes in Southern Europe. The second part discusses the most important processes in metropolitan areas: the problems of increasing social and residential vulnerability and the problems of diversity management. The third part analyses some concrete cases of the main changes and complexity in the spatial dynamics of metropolitan areas in Southern Europe. Finally, the fourth and last part provides an overview on the instruments and the resources put in place by some Southern European cities for the development of governance and citizen participation as an instrument of reaction to the social, economic and COVID crisis. By discussing the main changes and uncertainties derived from the social scenarios after the pandemic, the dynamics of social dualisation of the city, as well as the necessaryinstruments for its analysis and the main challenges in urban governance with special attention of Southern European context, this book provides an interesting read for spatial demographers, human geographers, social scientists and spatial planners.
Algebraisches Denken im Arithmetikunterricht der Grundschule: Muster entdecken – Strukturen verstehen (Mathematik Primarstufe und Sekundarstufe I + II)
by Kathrin Akinwunmi Anna Susanne SteinwegDieses Buch thematisiert algebraisches Denken in der Grundschule als wesentlichen Kern der übergreifenden Leitidee „Muster, Strukturen und funktionaler Zusammenhang“ in den aktuellen KMK-Bildungsstandards.Für algebraische Lehr-Lernprozesse ist eine Unterscheidung zwischen sichtbaren Mustern und allgemeinen Strukturen wesentlich; eine solche wird hier vorgelegt und an vielen Beispielen konkretisiert: Muster machen aufmerksam und lassen neugierig werden. Die Suche nach Begründungen des Musters erwartet, die Tür zu dahinterliegenden Strukturen zu öffnen. Strukturen, d. h. die mathematischen Eigenschaften und Relationen, können so als ursächlich für die Regelmäßigkeit des Musters erkannt werden.Für die unterrichtliche Förderung und gezielte Unterstützung der algebraischen Denkentwicklung werden in diesem Buch einerseits Grundideen algebraischen Denkens für den Arithmetikunterricht ausgearbeitet und andererseits Prinzipien für Unterricht zu algebraischen Grundideen und ihr Zusammenspiel mit prozessbezogenen, allgemeinen Kompetenzen erläutert. Den vier algebraischen Grundideen folgend werden vielfältige, didaktisch aufbereitete Anregungen zur praktischen Umsetzung sowie jeweils entsprechendes Hintergrundwissen angeboten.Das Buch richtet sich an Lehramtsstudierende, an angehende und bereits praktizierende Lehrkräfte sowie an Personen, die in der Lehrerinnen- und Lehrerbildung tätig sind.
From Unimodal to Multimodal Machine Learning: An Overview (SpringerBriefs in Computer Science)
by Blaž ŠkrljWith the increasing amount of various data types, machine learning methods capable of leveraging diverse sources of information have become highly relevant. Deep learning-based approaches have made significant progress in learning from texts and images in recent years. These methods enable simultaneous learning from different types of representations (embeddings). Substantial advancements have also been made in joint learning from different types of spaces. Additionally, other modalities such as sound, physical signals from the environment, and time series-based data have been recently explored. Multimodal machine learning, which involves processing and learning from data across multiple modalities, has opened up new possibilities in a wide range of applications, including speech recognition, natural language processing, and image recognition.From Unimodal to Multimodal Machine Learning: An Overview gradually introduces the concept of multimodal machine learning, providing readers with the necessary background to understand this type of learning and its implications. Key methods representative of different modalities are described in more detail, aiming to offer an understanding of the peculiarities of various types of data and how multimodal approaches tend to address them (although not yet in some cases). The book examines the implications of multimodal learning in other domains and presents alternative approaches that offer computationally simpler yet still applicable solutions. The final part of the book focuses on intriguing open research problems, making it useful for practitioners who wish to better understand the limitations of existing methods and explore potential research avenues to overcome them
Treks into Intuitive Geometry: The World of Polygons and Polyhedra
by Jin Akiyama Kiyoko MatsunagaThis book is written in a style that uncovers the mathematical theories hidden in our daily lives, using examples of patterns that appear in nature, arts, traditional crafts, as well as mathematical mechanics in architectural techniques. The authors believe that through conversations between students and mathematicians, readers may learn about the methods used by the originators of these theories―their trials, errors, and triumphs―in reaching their various conclusions. The goal is to help readers refine their mathematical sense in terms of formulating valuable questions and pursuing them. In addition, the book aims to provide enjoyment in the application of mathematical principles to beautiful art and design by using examples that highlight the wonders and mysteries of these works found in our daily lives. To achieve these goals, the book tackles the latest exquisite results on polygons and polyhedra and the dynamic history of geometric research found around us. The term "intuitive geometry" was coined by Lászlo Fejes Tóth and refers to the kind of geometry which, in Hilbert's words, can be explained to and appeal to the "man on the street." This book enables readers to enjoy intuitive geometry informally and instinctively. It does not require more than a high school level of knowledge but calls for a sense of wonder, intuition, and mathematical maturity. In this second edition, many new results, and elegant proofs on a variety of topics have been added, enhancing the book’s rich content even further.
The Cohomology of Monoids (RSME Springer Series #12)
by Antonio M. Cegarra Jonathan LeechThis monograph covers topics in the cohomology of monoids up through recent developments. Jonathan Leech’s original monograph in the Memoirs of the American Mathematical Society dates back to 1975. This book is an organized, accessible, and self-contained account of this cohomology that includes more recent significant developments that were previously scattered among various publications, along with completely new material. It summarizes the original Leech theory and provides a modern and thorough treatment of the cohomological classification of coextensions of both monoids and monoidal groupoids, including the case of monoids with operators. This cohomology is also compared to the classical Eilenberg-Mac Lane and Hochschild-Mitchell cohomologies. Connections are also established with the Lausch-Loganathan cohomology theory for inverse semigroups, the Gabriel-Zisman cohomology of simplicial sets, the Wells cohomology of small categories (also known as Baues-Wirschingcohomology), Grothendieck sheaf cohomology, and finally Beck’s triple cohomology. It also establishes connections with Grillet’s cohomology theory for commutative semigroups. The monograph is aimed at researchers in the theory of monoids, or even semigroups, and its interface with category theory, homological algebra, and related fields. However, it is also written to be accessible to graduate students in mathematics and mathematicians in general.
Artificial Intelligence for Everyone
by Christian PosthoffThis book demystifies the topic of Artificial Intelligence for readers of varying backgrounds. The content should enable many people to discuss and follow ongoing developments in an informed way, to draw conclusions for their own life and workplace and to acquire the necessary new knowledge. The book strives to provide basic knowledge that will objectify the discussions and relieve some of the creepiness of utopian films. It must also be understood that research results are a necessary condition for progress; they are not sufficient until they can be translated into practice embedded in programs. This difficult relationship between theory and practice has been known for a long time.
Design Science Research Methods and Patterns: Innovating Information and Communication Technology, 2nd Edition
by Vijay K. Vaishnavi William KuechlerPresenting innovative research methods, this second edition of a bestseller describes a simple and practical methodology for conducting cutting-edge design science research (DSR). It provides comprehensive guidance on how to conduct such research and provides in-depth treatment of design science theory and the different types of theory that can be generated in design science research. Making novel use of the concept of patterns, it presents 84 research patterns for conducting effective DSR. It emphasizes design science theory throughout and is filled with practical examples of using patterns to conduct IT research.
Combinatorial Optimization: 8th International Symposium, ISCO 2024, La Laguna, Tenerife, Spain, May 22–24, 2024, Revised Selected Papers (Lecture Notes in Computer Science #14594)
by Amitabh Basu Ali Ridha Mahjoub Juan José Salazar GonzálezThis book constitutes the refereed proceedings of the 8th International Symposium on Combinatorial Optimization, ISCO 2024, held in La Laguna, Tenerife, Spain, during May 22–24, 2024. The 30 full papers included in this book were carefully reviewed and selected from 46 submissions. They were organized in topical sections as follows: integer programming; graph theory; parameterized algorithms; approximation algorithms; integer programming for machine learning; and applications.
Structural Information and Communication Complexity: 31st International Colloquium, SIROCCO 2024, Vietri sul Mare, Italy, May 27–29, 2024, Proceedings (Lecture Notes in Computer Science #14662)
by Yuval EmekThis book constitutes the refereed proceedings of the 31th International Colloquium on Structural Information and Communication Complexity, SIROCCO 2024, held in Haifa, Israel in May 2024. The 24 full papers and 6 short papers presented in this book were carefully reviewed and selected from 49 submissions. SIROCCO is devoted to the study of the interplay between structural knowledge, communication, and computing in decentralized systems of multiple communicating entities. Special emphasis is given to innovative approaches leading to better understanding of the relationship between computing and communication.
Nonlinear Analysis, Geometry and Applications: Proceedings of the Third NLAGA-BIRS Symposium, AIMS-Mbour, Senegal, August 21–27, 2023 (Trends in Mathematics)
by Diaraf Seck Kinvi Kangni Philibert Nang Marie Salomon Sambou Mouhamed Moustapha FallThe NLAGA's Biennial International Research Symposium (NLAGA-BIRS) is intended to gather African expertises in Nonlinear Analysis, Geometry and their Applications with their international partners in a four days conference where new mathematical results are presented and discussed. This book features the best papers presented during this Biennial. The different topics addressed are related to Partial Differential Equations, Differential inclusions, Geometrical Analysis of Optimal Shapes, Complex Analysis, Geometric Structures, Algebraic Geometry, Algebraic, Optimization, Optimal Control and Mathematical modeling. The main focus of the NLAGA project is to deepen and consolidate the development in West and Center Africa of Nonlinear Analysis, Geometry and their Applications, aimed at solving in particular real-world problems such as coastal erosion, urban network, pollution problems, and population dynamics.
The p-adic Simpson Correspondence and Hodge-Tate Local Systems (Lecture Notes in Mathematics #2345)
by Ahmed Abbes Michel GrosThis book delves into the p-adic Simpson correspondence, its construction, and development. Offering fresh and innovative perspectives on this important topic in algebraic geometry, the text serves a dual purpose: it describes an important tool in p-adic Hodge theory, which has recently attracted significant interest, and also provides a comprehensive resource for researchers. Unique among the books in the existing literature in this field, it combines theoretical advances, novel constructions, and connections to Hodge-Tate local systems.This exposition builds upon the foundation laid by Faltings, the collaborative efforts of the two authors with T. Tsuji, and contributions from other researchers. Faltings initiated in 2005 a p-adic analogue of the (complex) Simpson correspondence, whose construction has been taken up in several different ways. Following the approach they initiated with T. Tsuji, the authors develop new features of the p-adic Simpson correspondence, inspired by their construction of the relative Hodge-Tate spectral sequence. First, they address the connection to Hodge-Tate local systems. Then they establish the functoriality of the p-adic Simpson correspondence by proper direct image. Along the way, they expand the scope of their original construction. The book targets a specialist audience interested in the intricate world of p-adic Hodge theory and its applications, algebraic geometry and related areas. Graduate students can use it as a reference or for in-depth study. Mathematicians exploring connections between complex and p-adic geometry will also find it valuable.
Distributionally Robust Optimization and its Applications in Power System Energy Storage Sizing
by Wei Wei Rui XieThis book introduces the mathematical foundations of distributionally robust optimization (DRO) for decision-making problems with ambiguous uncertainties and applies them to tackle the critical challenge of energy storage sizing in renewable-integrated power systems, providing readers with an efficient and reliable approach to analyze and design real-world energy systems with uncertainties. Covering a diverse range of topics, this book starts by exploring the necessity for energy storage in evolving power systems and examining the benefits of employing distributionally robust optimization. Subsequently, the cutting-edge mathematical theory of distributionally robust optimization is presented, including both the general theory and moment-based, KL-divergence, and Wasserstein-metric distributionally robust optimization theories. The techniques are then applied to various practical energy storage sizing scenarios, such as stand-alone microgrids, large-scale renewable power plants, bulk power grids, and multi-carrier energy networks. This book offers clear explanations and accessible guidance to bridge the gap between advanced optimization methods and industrial applications. Its interdisciplinary scope makes the book appealing to researchers, graduate students, and industry professionals working in electrical engineering and operations research, catering to both beginners and experts.
Proceedings of 4th International Conference on Recent Trends in Machine Learning, IoT, Smart Cities and Applications: ICMISC 2023 (Lecture Notes in Networks and Systems #873)
by Vinit Kumar Gunjan Jacek M. ZuradaThe book is a collection of the best-selected research papers presented at the International Conference on Recent Trends in Machine Learning, IoT, Smart Cities, and Applications (ICMISC 2023) held in September 2023 at the CMR Institute of Technology, Hyderabad, Telangana, India. This book will contain articles on current trends in machine learning, the internet of things, and smart city applications, emphasizing multi-disciplinary research in the area of artificial intelligence and cyberphysical systems. The book is a great resource for scientists, research scholars, and PG students to formulate their research ideas and find future directions in these areas. Further, this book serves as a reference work to understand the latest technologies used by practice engineers across the globe.
Mathematics and Computation in Music: 9th International Conference, MCM 2024, Coimbra, Portugal, June 18–21, 2024, Proceedings (Lecture Notes in Computer Science #14639)
by Thomas Noll Mariana Montiel Francisco Gómez Omar Costa Hamido José Luis Besada José Oliveira MartinsThis book constitutes the refereed proceedings of the 9th International Conference on Mathematics and Computation in Music, MCM 2024, held in Coimbra, Portugal, during June 18–21, 2024. The 30 full papers and 9 short papers included in this book were carefully reviewed and selected from 45 submissions. They were organized in topical sections as follows: mathematical scale theory and tuning; rhythm analysis and rhythm generation; categorical and algebraic approaches to music; quantum music; theory and algorithms for melodic- harmonic analysis and generation; geometric approaches to musical algorithms and microtonality; fourier analysis for music; similarity and distance measures for music; short papers; communication-performances; and tribute to Yves Hellegouarch.
Complexity Thinking and China’s Demography Within and Beyond Mainland China: A Geopolitical Overview
by Armando AliuThis book uses complexity thinking to explore China’s demography and population-driven geopolitics within and beyond mainland China. From a multidisciplinary perspective, the book is relevant to the debates of Chinese demography studies and politics of contemporary China. It combines international relations approaches, demography research, and legal studies to conceive the recent demographic trends and social transformations in China and across the world. The book prioritizes the anthropological viewpoint to provide a better understanding of demographic phenomena and combine an anthropological demography perspective with complexity thinking and geopolitics. This book will interest scholars of China, of geopolitics, and demographers.
Understanding Atmospheric Rivers Using Machine Learning (SpringerBriefs in Applied Sciences and Technology)
by Manish Kumar Goyal Shivam SinghThis book delves into the characterization, impacts, drivers, and predictability of atmospheric rivers (AR). It begins with the historical background and mechanisms governing AR formation, giving insights into the global and regional perspectives of ARs, observing their varying manifestations across different geographical contexts. The book explores the key characteristics of ARs, from their frequency and duration to intensity, unraveling the intricate relationship between atmospheric rivers and precipitation. The book also focus on the intersection of ARs with large-scale climate oscillations, such as El Niño and La Niña events, the North Atlantic Oscillation (NAO), and the Pacific Decadal Oscillation (PDO). The chapters help understand how these climate phenomena influence AR behavior, offering a nuanced perspective on climate modeling and prediction. The book also covers artificial intelligence (AI) applications, from pattern recognition to prediction modeling and early warning systems. A case study on AR prediction using deep learning models exemplifies the practical applications of AI in this domain. The book culminates by underscoring the interdisciplinary nature of AR research and the synergy between atmospheric science, climatology, and artificial intelligence
Indoor Wayfinding and Navigation
by Hassan A. KarimiDue to the widespread use of navigation systems for wayfinding and navigation in the outdoors, researchers have devoted their efforts in recent years to designing navigation systems that can be used indoors. This book is a comprehensive guide to designing and building indoor wayfinding and navigation systems. It covers all types of feasible sensors (for example, Wi-Fi, A-GPS), discussing the level of accuracy, the types of map data needed, the data sources, and the techniques for providing routes and directions within structures.
Discrete Event Simulation for Health Technology Assessment
by J. Jaime Caro Jörgen Möller Jonathan Karnon James Stahl Jack IshakThis is the first book to make all the central concepts of discrete event simulation relevant for health technology assessment. Accessible to beginners, the book requires no prerequisites and describes the concepts with as little jargon as possible. It presents essential concepts, a fully worked out implementation example, approaches to analyze the simulations, the development of the required equations, model verification techniques, and validation. The book also covers various special topics and includes a real case study involving screening strategies for breast cancer surveillance.
Causal Inference in Pharmaceutical Statistics (Chapman & Hall/CRC Biostatistics Series)
by Yixin FangCausal Inference in Pharmaceutical Statistics introduces the basic concepts and fundamental methods of causal inference relevant to pharmaceutical statistics. This book covers causal thinking for different types of commonly used study designs in the pharmaceutical industry, including but not limited to randomized controlled clinical trials, longitudinal studies, singlearm clinical trials with external controls, and real-world evidence studies. The book starts with the central questions in drug development and licensing, takes the reader through the basic concepts and methods via different study types and through different stages, and concludes with a roadmap to conduct causal inference in clinical studies. The book is intended for clinical statisticians and epidemiologists working in the pharmaceutical industry. It will also be useful to graduate students in statistics, biostatistics, and data science looking to pursue a career in the pharmaceutical industry.Key Features: Causal inference book for clinical statisticians in the pharmaceutical industry Introductory level on the most important concepts and methods Align with FDA and ICH guidance documents Across different stages of clinical studies: plan, design, conduct, analysis, and interpretation Cover a variety of commonly used study designs
Causal Inference in Pharmaceutical Statistics (Chapman & Hall/CRC Biostatistics Series)
by Yixin FangCausal Inference in Pharmaceutical Statistics introduces the basic concepts and fundamental methods of causal inference relevant to pharmaceutical statistics. This book covers causal thinking for different types of commonly used study designs in the pharmaceutical industry, including but not limited to randomized controlled clinical trials, longitudinal studies, singlearm clinical trials with external controls, and real-world evidence studies. The book starts with the central questions in drug development and licensing, takes the reader through the basic concepts and methods via different study types and through different stages, and concludes with a roadmap to conduct causal inference in clinical studies. The book is intended for clinical statisticians and epidemiologists working in the pharmaceutical industry. It will also be useful to graduate students in statistics, biostatistics, and data science looking to pursue a career in the pharmaceutical industry.Key Features: Causal inference book for clinical statisticians in the pharmaceutical industry Introductory level on the most important concepts and methods Align with FDA and ICH guidance documents Across different stages of clinical studies: plan, design, conduct, analysis, and interpretation Cover a variety of commonly used study designs