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A Brief History of Mathematical Thought

by Luke Heaton

Advertisements for the wildly popular game of Sudoku often feature the reassuring words, "no mathematical knowledge required." In fact, the only skill Sudoku does require is the use of mathematical logic. For many people, anxiety about math is so entrenched, and grade school memories so haunting, that these disclaimers - though misleading - are necessary to avoid intimidating potential buyers. In A Brief History of Mathematical Thought, Luke Heaton provides a compulsively readable history that situates mathematics within the human experience and, in the process, makes it more accessible. Mastering math begins with understanding its history. Heaton's book therefore offers a lively guide into and through the world of numbers and equations-one in which patterns and arguments are traced through logic in the language of concrete experience. Heaton reveals how Greek and Roman mathematicians like Pythagoras, Euclid, and Archimedes helped shaped the early logic of mathematics; how the Fibonacci sequence, the rise of algebra, and the invention of calculus are connected; how clocks, coordinates, and logical padlocks work mathematically; and how, in the twentieth century, Alan Turing's revolutionary work on the concept of computation laid the groundwork for the modern world. A Brief History of Mathematical Thought situates mathematics as part of, and essential to, lived experience. Understanding it does not require the application of various rules or numbing memorization, but rather a historical imagination and a view to its origins. Moving from the origin of numbers, into calculus, and through infinity, Heaton sheds light on the language of math and its significance to human life.

Waves and Oscillations in Nature: An Introduction

by A Satya Narayanan Swapan K Saha

Suitable for researchers and graduate students in fluid dynamics, astrophysics, and other areas of physics, this book clearly elucidates the dynamics and behavior of waves and oscillations in various mediums. It presents different types of waves and oscillations that can be observed and studied from macroscopic to microscopic scales. The authors describe applications in astrophysics, include simple exercises to give readers a hands-on grasp of the basics, and provide a large list of bibliographic sources that enable readers to research more technical aspects.

Parallel Computing for Data Science: With Examples in R, C++ and CUDA (Chapman & Hall/CRC The R Series)

by Norman Matloff

This is one of the first parallel computing books to focus exclusively on parallel data structures, algorithms, software tools, and applications in data science. The book prepares readers to write effective parallel code in various languages and learn more about different R packages and other tools. It covers the classic n observations, p variables matrix format and common data structures. Many examples illustrate the range of issues encountered in parallel programming.

Software Engineering: The Current Practice (Chapman & Hall/CRC Innovations in Software Engineering and Software Development Series)

by Vaclav Rajlich

This text teaches students basic software engineering skills and helps practitioners refresh their knowledge and explore recent developments in the field, including software changes and iterative processes of software development. The book discusses the software change and its phases, including concept location, impact analysis, refactoring, actualization, and verification. It then covers the most common iterative processes: agile, directed, and centralized processes. The text also journeys through the initial development of software from scratch to the final stages that lead toward software closedown.

Introduction to Quantum Physics and Information Processing

by Radhika Vathsan

Requiring no background in quantum physics, this text guides beginners in understanding the current state of research in the novel, interdisciplinary area of quantum information. Suitable for undergraduate and beginning graduate students in physics, mathematics, or engineering, the book goes deep into issues of quantum theory without raising the technical level too much. It describes basic algorithms used in quantum computation and addresses key elements of quantum information. Examples, exercises, problems, and references encourage hands-on practice and further exploration.

Hyperbolic Problems: HYP2022, Málaga, Spain, June 20–24, 2022 (SEMA SIMAI Springer Series #34)

by Carlos Parés María Luz Muñoz-Ruiz Manuel J. Castro Tomás Morales de Luna

The present volume contains a selection of papers from the XVIII International Conference on Hyperbolic Problems: Theory, Numerics, and Applications (HYP2022), which was held on June 20-24, 2022 in Málaga (Spain). The goal of this series of conferences is to bring together scientists with interests in the theoretical, applied, and computational aspects of hyperbolic partial differential equations (systems of hyperbolic conservation laws, wave equations, etc.) and of related mathematical models. The chapters in this volume correspond to some of the plenary lectures and to selected contributions related to theoretical aspects.

Proceedings of the 3rd International Conference on Cognitive Based Information Processing and Applications—Volume 3: CIPA 2023, November 2–3, Changzhou, China (Lecture Notes on Data Engineering and Communications Technologies #198)

by Jun Ye Bernard J. Jansen Qingyuan Zhou

This book contains papers presented at the 3rd International Conference on Cognitive- based Information Processing and Applications (CIPA) in Changzhou, China, from November 2–3, 2023. The papers represent the various technological advancements in theory, technology and application of artificial intelligence, including precision mining, intelligent computing, deep learning, and all other theories, models, and technologies related to artificial intelligence. It caters to postgraduate students, researchers, and practitioners specializing and working in the area of cognitive-inspired computing and intelligent computing. The book represents Volume 3 for this conference proceedings, which consists of a 3-volume book series.

Proceedings of the 3rd International Conference on Cognitive Based Information Processing and Applications—Volume 2: CIPA 2023, November 2—3, Changzhou, China (Lecture Notes on Data Engineering and Communications Technologies #197)

by Jun Ye Bernard J. Jansen Qingyuan Zhou

This book contains papers presented at the 3rd International Conference on Cognitive- based Information Processing and Applications (CIPA) in Changzhou, China, from November 2–-3, 2023. The papers represent the various technological advancements in theory, technology and application of artificial intelligence, including precision mining, intelligent computing, deep learning, and all other theories, models, and technologies related to artificial intelligence. It caters to postgraduate students, researchers, and practitioners specializing and working in the area of cognitive-inspired computing and intelligent computing. The book represents Volume 2 for this conference proceedings, which consists of a 3-volume book series.

Privacy Preservation in Distributed Systems: Algorithms and Applications (Signals and Communication Technology)

by Anqi Zhang Ping Zhao Guanglin Zhang

This book provides a discussion of privacy in the following three parts: Privacy Issues in Data Aggregation; Privacy Issues in Indoor Localization; and Privacy-Preserving Offloading in MEC. In Part 1, the book proposes LocMIA, which shifts from membership inference attacks against aggregated location data to a binary classification problem, synthesizing privacy preserving traces by enhancing the plausibility of synthetic traces with social networks. In Part 2, the book highlights Indoor Localization to propose a lightweight scheme that can protect both location privacy and data privacy of LS. In Part 3, it investigates the tradeoff between computation rate and privacy protection for task offloading a multi-user MEC system, and verifies that the proposed load balancing strategy improves the computing service capability of the MEC system. In summary, all the algorithms discussed in this book are of great significance in demonstrating the importance of privacy.

Themes from Weir: A Celebration of the Philosophy of Alan Weir (Synthese Library #484)

by Adam Rieger Stephan Leuenberger

This book celebrates and explores some philosophical issues raised by the work of Alan Weir, who is Professor Emeritus at the University of Glasgow, having previously held positions at the Universities of Oxford, Edinburgh and Queen’s, Belfast. In a number of areas, Weir has elaborated strikingly original views which involve a radical departure from the mainstream. These include formalism in the philosophy of mathematics, and as well as naïve set theory, with a universal set, and a naïve theory of truth. In contrast to other contemporary defenders of the latter two theories, Weir rejects dialetheism and accepts classical rules for the logical connectives. He avoids contradictions by restricting certain structural inference rules, specifically some generalized versions of transitivity. In addition, Weir has developed radical versions of naturalism and physicalism (partly informed by his work on Quine) and perceptual realism. This collection includes contributions by a distinguished group of philosophers on Weir’s philosophy, as well as a memoir and a new essay on the philosophy of mathematics by Weir himself.

Spatial Analysis in Geology Using R (Chapman & Hall/CRC The R Series)

by Pedro M. Nogueira

The integration of geology with data science disciplines, such as spatial statistics, remote sensing, and geographic information systems (GIS), has given rise to a shift in many natural sciences schools, pushing the boundaries of knowledge and enabling new discoveries in geological processes and earth systems. Spatial analysis of geological data can be used to identify patterns and trends in data, to map spatial relationships, and to model spatial processes. R is a consolidated and yet growing statistical programming language with increasing value in spatial analysis often replacing, with advantage, GIS tools. By providing a comprehensive guide for geologists to harness the power of spatial analysis in R, Spatial Analysis in Geology Using R serves as a tool in addressing real-world problems, such as natural resource management, environmental conservation, and hazard prediction and mitigation.Features: Provides a practical and accessible overview of spatial analysis in geology using R Organised in three independent and complementary parts: Introduction to R, Spatial Analysis with R, and Spatial Statistics and Modelling Applied approach with many detailed examples and case studies using real geological data Presents a collection of R packages that are useful in many geological situations Does not assume any prior knowledge of R; all code are explained in detail Supplemented by a website with all data, code, and examples Spatial Analysis in Geology Using R will be useful to any geological researcher who has acquired basic spatial analysis skills, often using GIS, and is interested in deepening those skills through the use of R. It could be used as a reference by applied researchers and analysts in public, private, or third-sector industries. It could also be used to teach a course on the topic to graduate students or for self-study.

Spatial Analysis in Geology Using R (Chapman & Hall/CRC The R Series)

by Pedro M. Nogueira

The integration of geology with data science disciplines, such as spatial statistics, remote sensing, and geographic information systems (GIS), has given rise to a shift in many natural sciences schools, pushing the boundaries of knowledge and enabling new discoveries in geological processes and earth systems. Spatial analysis of geological data can be used to identify patterns and trends in data, to map spatial relationships, and to model spatial processes. R is a consolidated and yet growing statistical programming language with increasing value in spatial analysis often replacing, with advantage, GIS tools. By providing a comprehensive guide for geologists to harness the power of spatial analysis in R, Spatial Analysis in Geology Using R serves as a tool in addressing real-world problems, such as natural resource management, environmental conservation, and hazard prediction and mitigation.Features: Provides a practical and accessible overview of spatial analysis in geology using R Organised in three independent and complementary parts: Introduction to R, Spatial Analysis with R, and Spatial Statistics and Modelling Applied approach with many detailed examples and case studies using real geological data Presents a collection of R packages that are useful in many geological situations Does not assume any prior knowledge of R; all code are explained in detail Supplemented by a website with all data, code, and examples Spatial Analysis in Geology Using R will be useful to any geological researcher who has acquired basic spatial analysis skills, often using GIS, and is interested in deepening those skills through the use of R. It could be used as a reference by applied researchers and analysts in public, private, or third-sector industries. It could also be used to teach a course on the topic to graduate students or for self-study.

Maths — No Problem! Workbook 3A: (PDF)

by Adam Gifford Michelle Hayfron

Maths — No Problem! is a series of textbooks and workbooks written to meet the requirements of the English National Curriculum and all subsequent non-statutory requirements. The focus of the series is on teaching to mastery. This research-based approach emphasises problem solving and utilises pupils’ core competencies to develop a relational understanding of mathematical concepts.

Maths — No Problem! Textbook 3B: (pdf)

by Adam Gifford

"Maths — No Problem! is a series of textbooks and workbooks written to meet the requirements of the English National Curriculum and all subsequent non-statutory requirements. The focus of the series is on teaching to mastery. This research-based approach emphasises problem solving and utilises pupils’ core competencies to develop a relational understanding of mathematical concepts."

Maths — No Problem! Workbook 3B: (pdf)

by Adam Gifford

"Maths — No Problem! is a series of textbooks and workbooks written to meet the requirements of the English National Curriculum and all subsequent non-statutory requirements. The focus of the series is on teaching to mastery. This research-based approach emphasises problem solving and utilises pupils’ core competencies to develop a relational understanding of mathematical concepts."

Synchronization for Wave Equations with Locally Distributed Controls (Series in Contemporary Mathematics #5)

by Tatsien Li Bopeng Rao

This book aims to establish a systematic theory on the synchronization for wave equations with locally distributed controls. It is structured in two parts. Part I is devoted to internal controls, while Part II treats the case of mixed internal and boundary controls. The authors present necessary mathematical formulations and techniques for analyzing and solving problems in this area. They also give numerous examples and applications to illustrate the concepts and demonstrate their practical relevance. The book provides an overview of the field and offers an in-depth analysis of new results with elegant proofs. By reading this book, it can be found that due to the use of internal controls, more deep-going results on synchronization can be obtained, which makes the corresponding synchronization theory more precise and complete. Graduate students and researchers in control and synchronization for partial differential equations, functional analysis find this book useful. It is also an excellent reference in the field. Thanks to the explicit criteria given in this book for various notions of controllability and synchronization, researchers and practitioners can effectively use the control strategies described in this book and make corresponding decisions regarding system design and operation.

Regularity Techniques for Elliptic PDEs and the Fractional Laplacian

by Pablo Raúl Stinga

Regularity Techniques for Elliptic PDEs and the Fractional Laplacian presents important analytic and geometric techniques to prove regularity estimates for solutions to second order elliptic equations, both in divergence and nondivergence form, and to nonlocal equations driven by the fractional Laplacian. The emphasis is placed on ideas and the development of intuition, while at the same time being completely rigorous. The reader should keep in mind that this text is about how analysis can be applied to regularity estimates. Many methods are nonlinear in nature, but the focus is on linear equations without lower order terms, thus avoiding bulky computations. The philosophy underpinning the book is that ideas must be flushed out in the cleanest and simplest ways, showing all the details and always maintaining rigor. Features Self-contained treatment of the topic Bridges the gap between upper undergraduate textbooks and advanced monographs to offer a useful, accessible reference for students and researchers. Replete with useful references.

Regularity Techniques for Elliptic PDEs and the Fractional Laplacian

by Pablo Raúl Stinga

Regularity Techniques for Elliptic PDEs and the Fractional Laplacian presents important analytic and geometric techniques to prove regularity estimates for solutions to second order elliptic equations, both in divergence and nondivergence form, and to nonlocal equations driven by the fractional Laplacian. The emphasis is placed on ideas and the development of intuition, while at the same time being completely rigorous. The reader should keep in mind that this text is about how analysis can be applied to regularity estimates. Many methods are nonlinear in nature, but the focus is on linear equations without lower order terms, thus avoiding bulky computations. The philosophy underpinning the book is that ideas must be flushed out in the cleanest and simplest ways, showing all the details and always maintaining rigor. Features Self-contained treatment of the topic Bridges the gap between upper undergraduate textbooks and advanced monographs to offer a useful, accessible reference for students and researchers. Replete with useful references.

Industrial Recommender System: Principles, Technologies and Enterprise Applications

by Lantao Hu Yueting Li Guangfan Cui Kexin Yi

Recommender systems, as a highly popular AI technology in recent years, have been widely applied across various industries. They have transformed the way we interact with technology, influencing our choices and shaping our experiences. This book provides a comprehensive introduction to industrial recommender systems, starting with the overview of the technical framework, gradually delving into each core module such as content understanding, user profiling, recall, ranking, re-ranking and so on, and introducing the key technologies and practices in enterprises. The book also addresses common challenges in recommendation cold start, recommendation bias and debiasing. Additionally, it introduces advanced technologies in the field, such as reinforcement learning, causal inference. Professionals working in the fields of recommender systems, computational advertising, and search will find this book valuable. It is also suitable for undergraduate, graduate, and doctoral students majoring in artificial intelligence, computer science, software engineering, and related disciplines. Furthermore, it caters to readers with an interest in recommender systems, providing them with an understanding of the foundational framework, insights into core technologies, and advancements in industrial recommender systems. The translation was done with the help of artificial intelligence. A subsequent human revision was done primarily in terms of content.

Introduction to Python: With Applications in Optimization, Image and Video Processing, and Machine Learning (Chapman & Hall/CRC The Python Series)

by David Báez-López David Alfredo Báez Villegas

Introduction to Python: with Applications in Optimization, Image and Video Processing, and Machine Learning is intended primarily for advanced undergraduate and graduate students in quantitative sciences such as mathematics, computer science, and engineering. In addition to this, the book is written in such a way that it can also serve as a self-contained handbook for professionals working in quantitative fields including finance, IT, and many other industries where programming is a useful or essential tool.The book is written to be accessible and useful to those with no prior experience of Python, but those who are somewhat more adept will also benefit from the more advanced material that comes later in the book.Features Covers introductory and advanced material. Advanced material includes lists, dictionaries, tuples, arrays, plotting using Matplotlib, object-oriented programming Suitable as a textbook for advanced undergraduates or postgraduates, or as a reference for researchers and professionals Solutions manual, code, and additional examples are available for download

Introduction to Python: With Applications in Optimization, Image and Video Processing, and Machine Learning (Chapman & Hall/CRC The Python Series)

by David Báez-López David Alfredo Báez Villegas

Introduction to Python: with Applications in Optimization, Image and Video Processing, and Machine Learning is intended primarily for advanced undergraduate and graduate students in quantitative sciences such as mathematics, computer science, and engineering. In addition to this, the book is written in such a way that it can also serve as a self-contained handbook for professionals working in quantitative fields including finance, IT, and many other industries where programming is a useful or essential tool.The book is written to be accessible and useful to those with no prior experience of Python, but those who are somewhat more adept will also benefit from the more advanced material that comes later in the book.Features Covers introductory and advanced material. Advanced material includes lists, dictionaries, tuples, arrays, plotting using Matplotlib, object-oriented programming Suitable as a textbook for advanced undergraduates or postgraduates, or as a reference for researchers and professionals Solutions manual, code, and additional examples are available for download

HCI in Business, Government and Organizations: 11th International Conference, HCIBGO 2024, Held as Part of the 26th HCI International Conference, HCII 2024, Washington, DC, USA, June 29 – July 4, 2024, Proceedings, Part I (Lecture Notes in Computer Science #14720)

by Fiona Fui-Hoon Nah Keng Leng Siau

This two-volume set of HCIBGO 2024 constitutes the refereed proceedings of the 11h International Conference on HCI in Business, Government and Organizations, held as part of the 26th International Conference, HCI International 2024, which took place in from June 29 - July 4, 2024 in Washington DC, USA. Two volumes of the HCII 2024 proceedings are dedicated to this year’s edition of the HCIBGO conference. The first covers topics related to Digital Commerce and Marketing, Artificial Intelligence in Business, and Workplace, Well-being and Productivity. The second focuses on topics related to Teleworking and Virtual Collaboration, and Improving User Experience and Service Efficiency.

Algebra: Gruppen – Ringe – Körper

by Christian Karpfinger

Dieses Lehrbuch zur Algebra bietet eine Einführung in die grundlegenden Begriffe und Methoden der modernen Algebra. Es werden die Themen eines Grundkurses zur Algebra ausführlich und motivierend behandelt.Die Algebra wird von vielen Studierenden als sehr abstrakt empfunden. Daher hat sich der Autor bemüht, die Ergebnisse und Begriffe mit zahlreichen Beispielen zu unterlegen. Die Beweisführungen sind ausführlich, gelegentlich werden sogar verschiedene Beweise aufgezeigt. Die Kapitel sind in kleine Lerneinheiten unterteilt. Diese Lerneinheiten führen Schritt für Schritt an die Ergebnisse heran und können durch diese Darstellung vom Leser besser nachvollzogen werden. Der Autor hat stets darauf geachtet, dass erst dann neue Begriffe und Konzepte eingeführt werden, wenn ein gewisses Vertrauen im Umgang mit den bis dahin entwickelten Begriffen und Konzepten besteht. Das Vorgehen wird stets motiviert, schwierige Sachverhalte werden ausführlich erklärt und an Beispielen erprobt. DieLeser erhalten dadurch einen einfachen Zugang zu dem nicht ganz leichten Thema der Algebra.Die zahlreichen Aufgaben unterschiedlicher Schwierigkeitsgrade zum Ende der Kapitel überprüfen das Gelernte und fördern das tiefere Verständnis der Theorie. Das Buch wurde für die 6. Auflage vollständig durchgesehen und um zwei Beweise des quadratischen Reziprozitätsgesetzes ergänzt. Zudem erhalten Sie Zugang auf 300 Flashcards (Springer-Nature-Flashcards-App), mit denen Sie Ihr Verständnis der Theorie auf spielerische Weise testen und einüben können.

Verpflegung | Wohnen | Digitale Teilhabe: Inter- und transdisziplinäre Perspektiven der Alltagsversorgung zur Lebensqualität im Alter

by Jana Rückert-John Christine Küster Stephanie Hagspihl

In diesem Buch zum Thema Lebensqualität im Alter wird ein inter- und trans-disziplinärer Ansatz gewählt, um neue Einsichten zu vermitteln. Der spezielle Fokus in den Beiträgen liegt dabei auf den Themen Verpflegung, Wohnen und digitale Teilhabe, wobei die einzelnen Beiträge jeweils inter- und transdisziplinäre Perspektiven aufzeigen. Der steigende Anteil bzw. die steigende Zahl älterer Menschen und deren lebensnotwendige Alltagsversorgung und Alltagsgestaltung für mehr Lebensqualität betrifft die gesamte Gesellschaft. Die anstehenden Herausforderungen wachsender Disparitäten und wegbrechender Strukturen der Versorgung Älterer für ein „gutes Leben aller“ werden nur inter- und transdisziplinär zu lösen sein.

HCI in Business, Government and Organizations: 11th International Conference, HCIBGO 2024, Held as Part of the 26th HCI International Conference, HCII 2024, Washington, DC, USA, June 29 – July 4, 2024, Proceedings, Part II (Lecture Notes in Computer Science #14721)

by Fiona Fui-Hoon Nah Keng Leng Siau

This two-volume set of HCIBGO 2024 constitutes the refereed proceedings of the 11h International Conference on HCI in Business, Government and Organizations, held as part of the 26th International Conference, HCI International 2024, which took place in from June 29 - July 4, 2024 in Washington DC, USA. Two volumes of the HCII 2024 proceedings are dedicated to this year’s edition of the HCIBGO conference. The first covers topics related to Digital Commerce and Marketing, Artificial Intelligence in Business, and Workplace, Well-being and Productivity. The second focuses on topics related to Teleworking and Virtual Collaboration, and Improving User Experience and Service Efficiency.

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Showing 54,676 through 54,700 of 54,709 results