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Ordinary Differential Equations and
Special Functions

Ordinary Differential Equations and Special Functions

De Gruyter Series in Applied and Numerical Mathematics

Advanced Computational Approaches for Rarefied Flows

Beyond Navier-Stokes

Emergence, Complexity and Computation

This book embarks on a journey through the captivating universe of cellular automata and discover its distinct realm, characterised by discrete time, space, and states, where cells form regular patterns and offer insights into complex systems across various domains. From theoretical foundations to practical applications, each chapter unveils innovative ideas and implementations, from solving initial value problems to exploring reversible computing and real-time pattern generation. Explore hyperbolic spaces, analyse elementary automata, and delve into network growth dynamics. Shedding light on synchronisation, control, and computational structures, this book is an invaluable resource for computer scientists, modellers, mathematicians, engineers, physicists, and professionals across disciplines. Immerse yourself in the intricate complexities and boundless potential of cellular automata, whether unravelling pedestrian dynamics or exploring cryptographic applications.

This book embarks on a journey through the captivating universe of cellular automata and discover its distinct realm, characterised by discrete time, space, and states, where cells form regular patterns and offer insights into complex systems across various domains. From theoretical foundations to practical applications, each chapter unveils innovative ideas and implementations, from solving initial value problems to exploring reversible computing and real-time pattern generation. Explore hyperbolic spaces, analyse elementary automata, and delve into network growth dynamics. Shedding light on synchronisation, control, and computational structures, this book is an invaluable resource for computer scientists, modellers, mathematicians, engineers, physicists, and professionals across disciplines. Immerse yourself in the intricate complexities and boundless potential of cellular automata, whether unravelling pedestrian dynamics or exploring cryptographic applications.

Volume 1: Theory

Advances in Cellular Automata

Advances in Computers

Computer-Aided Diagnosis (CAD) Tools and Applications for 3D Medical Imaging: Volume 136

This book combines theory and practice to enable successful mathematical education for children from birth to twelve years. It considers how students, academics, parents and professionals can develop their mathematical thinking practice whilst acknowledging we will always be practising the craft of teaching mathematics.

Supporting Early Mathematical Development is an essential text, combining theory and practice to enable successful mathematical education for children from birth to 12 years. This text considers how students, academics, parents and professionals can develop their mathematical thinking practice whilst acknowledging there will always be a road yet to travel; we will always be practising the craft of teaching mathematics. Charting the delivery of mathematical development in playgroups, children’s centres, nurseries and primary schools, the book promotes an effective pedagogy for mathematics.This new edition provides a conceptualisation of mathematics and places a fresh emphasis on mathematical literacy to empower children. New chapters include the following:■ Mediators of Mathematical Thinking■ Understanding Pattern, Pre-Algebraic and Algebraic Thinking■ Naming, Renaming and Processing Numbers■ Statistics, Statistical Diagrams and Probability■ Measure■ GeometryThroughout the book, Caroline McGrath navigates the complexity of teaching and learning mathematics, through careful thought and consideration of mediators of mathematical thinking. This supportive book is designed for educators who want to know how to reconstruct mathematical ideas with children and respond in the moment. Returning to the root of understanding, using the adaptive pedagogical style recommended in this text, you can create satisfying mathematical experiences for children.

Practical Approaches to Play-Based Learning

Supporting Early Mathematical Development

Post-Quantum Cryptography Algorithms and Approaches for IoT and Blockchain Security: Volume 138

Essays in Developmental Psychology

Perspectives from Developmental Psychology

Attitudes and Emotions Towards Mathematics

The 2025 release of Business Statistics and Analytics in Practice offers a comprehensive approach to teaching business statistics and analytics. It covers essential topics like probability modeling, regression, and time series, while seamlessly integrating modern tools such as data mining and predictive analytics. Real-world case studies and early introductions to advanced visualizations enhance practical learning, with Business Improvement conclusions-highlighted in yellow and marked by BI icons-demonstrating how statistical analyses lead to actionable business decisions. With hands-on experience using Excel, MegaStat, Minitab, JMP, and R, students are equipped with the skills needed to thrive in today's data-driven business world.

Business Statistics and Analytics in Practice: 2025 Release ISE

Math Survival Guide: Tips for Science Student, 3E

A concise, nuts-and-bolts encapsulation of the essentials qualitative researchers in STEMM need to know to get their work accepted and published, written by a longtime qualitative methodologist and qualitative reviewer for academic journals.

A Guidebook for Scientists

Qualitative Pathways for Publication

The robot “concept” was clearly established by those many creative historical realizations, such as those recalled above. Nonetheless, the emergence of the “physical” robot had to await the advent of its underlying technologies of mechanics, controls, computers, electronics and sensors ―in one word, mechatronics― during the course of the twentieth century. As always, new designs motivate new research and discoveries which, in turn, lead to enhanced solutions and thus to novel concepts. This virtuous circle over time produced that knowledge and understanding which gave birth to the field of Robotics, properly referred to as the science and technology of robots.To make robots and intelligent machines useful to humans it is necessary to have a broad and tight intersection between Robotics and AI. Sophisticated mathematical models are needed that enable the robot from a physical point of view, as well as intelligent algorithms capable of correlating all the information coming from the use of technologically advanced sensors with the data available from experience. It is expected that the synergy of model-based techniques with data-driven approaches will contribute to increasing the level of autonomy of robots and intelligent machines in the near future.The first book of the Robotics Goes MOOC project starts with the journey of robotics in the introductory chapter by Khatib, who has pioneered our field of robotics and has ferried it to the third millennium. Sensing is crucial for the development of intelligent and autonomous robots, as covered in Chapter 2 by Nüchter et al. Model-based control is dealt with in Chapter 3 by Kröeger et al along with motion planning, as well as in Chapter 4 by Villani and Chapter 5 by Chaumette to handle force and visual feedback, respectively, when interacting with the environment. Resorting to AI techniques is the focus of the last part of the book, namely, Chapter 6 by Peters et al on Learning, Chapter 7 by Beetzet al on knowledge representation and reasoning, and Chapter 8 by Burgard et al on graph-based SLAM.&nbsp;The image on the cover metaphorically illustrates the&nbsp;knowledge&nbsp;paradigm of robotics through a hand trying to catch an apple.&nbsp;The content published here are linked to a series of MOOCs on Robotics specifically created and hosted by Federica Web Learning. You can access the related content via our app: download the SN More Media app for free, scan the link and access directly to the online courses on your smartphone or tablet.

This book is part of the Springer MOOC &amp; BOOK project, providing both a MOOC – offered through Federica Web Learning – and a Springer reference book based on the online course, combining the quality of a scientific essay with the communicative power of an online educational product.&nbsp;It provides a state-of-the-art overview of various aspects of the rapidly developing field of robotics, which is vigorously engaged in the growing challenges of emerging new domains.Interacting, exploring and working with humans, the new generation of robots will increasingly touch people and their lives.&nbsp;The book is strictly linked to the MOOC, and includes numerous examples and exercises in addition to those offered in the MOOC. Moreover, it features multimedia content, such as videos and augmented reality, which can be accessed via PC, tablet or any other mobile device. Students who buy the print book can easily access this content through the Springer Multimedia App,optimized for cell phones and tablets. Readers simply scan the image with their cell phone or tablet and they are taken directly to the video, figure, photo, table, PowerPoint slide, etc. Moreover, this content can be shared via other apps, email, messengers, and more.The book, edited by an outstanding, internationally respected expert in the field, includes valuable contributions from more than 30 authors, making this innovative project an authoritative reference resource for senior graduate and PhD level students, as well as for robotics researchers and scientists from related disciplines.This book focuses on&nbsp;Knowledge.

Knowledge

Robotics Goes MOOC

Trends in Abstract and Applied Analysis

The process of authoring this book is inspired by the recent increased activity of research on dynamic equations on time scales and other closely related areas. This monograph is the first published book that attempts to provide a comprehensive view of the theory and applications of set dynamic equations on time scales. The main focus of the book is the qualitative theory of set dynamic equations and their applications to fuzzy dynamic equations. The key topics include the solvability of set dynamic equations, stability of set dynamic equations, and applications to certain types of fuzzy dynamic equations.

There are five chapters in the book, through which the authors examine a wide scope of the concept of set dynamic equations and their applications. Each chapter focuses on theory and proofs to enrich the reader's understanding of the topic.

This book will be particularly useful to those experts who work in applied analysis, in general. It will also be a good reference for computer scientists since it covers fuzzy dynamic equations. Researchers and graduate students at various levels interested in learning about set dynamic equations and related fields will find this text a valuable resource of both introductory and advanced material.

Set Dynamic Equations On Time Scales: A Brief Introduction With Applications

Electromagnetics Through the Finite Element Method

Ordinary Differential Equations and Special Functions

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Bibliografische Angaben

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