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Maths — No Problem! Workbook 6B: (pdf)
by Judy Hornigold 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! Textbook 6B: (pdf)
by Judy Hornigold 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 6A: New Edition: (PDF)
by Judy Hornigold Adam GiffordMaths — 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.
Modeling with Stochastic Programming (Springer Series in Operations Research and Financial Engineering)
by Alan J. King Stein W. WallaceThis is an updated version of what is still the only text to address basic questions about how to model uncertainty in mathematical programming, including how to reformulate a deterministic model so that it can be analyzed in a stochastic setting. This second edition has important extensions regarding how to represent random phenomena in the models (also called scenario generation) as well as a new chapter on multi-stage models. This text would be suitable as a stand-alone or supplement for a second course in OR/MS or in optimization-oriented engineering disciplines where the instructor wants to explain where models come from and what the fundamental modeling issues are. The book is easy-to-read, highly illustrated with lots of examples and discussions. It will be suitable for graduate students and researchers working in operations research, mathematics, engineering and related departments where there is interest in learning how to model uncertainty. Alan King is a Research Staff Member at IBM's Thomas J. Watson Research Center in New York. Stein W. Wallace is a Professor of Operational Research and head of Center for Shipping and Logistics at NHH Norwegian School of Economics, Bergen, Norway.
Mathematische Grundlagen der Informatik: Mathematisches Denken und Beweisen - Eine Einführung
by Christoph Meinel Martin MundhenkDie mathematischen Grundlagen der Informatik werden anhand von Definitionen und Beispielen anschaulich eingeführt. Ziel des Buches, nun in einer korrigierten und aktualisierten Fassung, ist es, systematisch die für die Informatik typischen und grundlegenden mathematischen Denkweisen vorzustellen – ohne dabei auf besondere, die übliche Schulmathematik übersteigende Vorkenntnisse aufzubauen.
Advanced Computational Applications of Geometric Algebra: ICACGA 2022, Denver, CO, USA, October 2–5 (Springer Proceedings in Mathematics & Statistics #445)
by Dietmar Hildenbrand Eckhard Hitzer David William Honorio Araujo Da SilvaHow Geometric Algebra can naturally serve for constructing solutions for pattern recognition, machine learning, data compression, games, robotics, quantum computing, data encoding, to cite a few. Moreover, there is ample evidence that further research on GA and related areas can significantly expand the number of real-world applications in a wide variety of areas. A mathematical system that is very easy to handle, highly robust and superior performance for engineering applications. Good thematic introduction for engineers and researchers new to the subject. Extensive illustrations and code examples. Thematically well structured with many hands on examples. Learning about GA and how to use it for daily tasks in engineering research and development.
Determinantal Ideals of Square Linear Matrices
by Aron Simis Zaqueu RamosThis book explores determinantal ideals of square matrices from the perspective of commutative algebra, with a particular emphasis on linear matrices. Its content has been extensively tested in several lectures given on various occasions, typically to audiences composed of commutative algebraists, algebraic geometers, and singularity theorists.Traditionally, texts on this topic showcase determinantal rings as the main actors, emphasizing their properties as algebras. This book follows a different path, exploring the role of the ideal theory of minors in various situations—highlighting the use of Fitting ideals, for example. Topics include an introduction to the subject, explaining matrices and their ideals of minors, as well as classical and recent bounds for codimension. This is followed by examples of algebraic varieties defined by such ideals. The book also explores properties of matrices that impact their ideals of minors, such as the 1-generic property, explicitly presenting a criterion by Eisenbud. Additionally, the authors address the problem of the degeneration of generic matrices and their ideals of minors, along with applications to the dual varieties of some of the ideals.Primarily intended for graduate students and scholars in the areas of commutative algebra, algebraic geometry, and singularity theory, the book can also be used in advanced seminars and as a source of aid. It is suitable for beginner graduate students who have completed a first course in commutative algebra.
Teachers of Mathematics Working and Learning in Collaborative Groups: The 25th ICMI Study (New ICMI Study Series)
by Despina Potari Hilda BorkoThis open access book is the product of an international study which offers a state-of-the-art summary of mathematics teacher collaboration with respect to theory, research, practice, and policy. The authors – leading researchers and teachers on mathematics teacher collaboration – represent a wide range of countries and cultures. Chapters explore the various forms of teacher collaboration; the diversity of settings and groupings in which mathematics teacher collaboration occurs; the tools and resources that support mathematics teacher collaboration and are the product of collaboration; and the breadth of outcomes of such collaboration. Teachers’ experiences and learning in collaborative settings are represented through their own voices as well as the voices of researchers. Forms and outcomes of collaboration are considered through a variety of theoretical perspectives and methodological approaches. The authors reflect on the policy implications of this work and suggest new directions of research that take into account contextual, cultural, national and political dimensions that impact teachers’ work and learning through collaboration. The book is a valuable resource for researchers, practitioners, and policy makers who are interested in the power of teacher collaboration, and its history and potential for promoting educational innovations and equitable experiences for all teachers and learners.
Cellular Cause-Effect Structures (Studies in Systems, Decision and Control #526)
by Ludwik CzajaThis book presents the adaptation of cause-effect structures to the formal description of phenomena such as the behaviour of living objects, the mutual communication of living cells, but also such as the growth of crystals and other natural processes. The system of cause-effect structures has been designed for the description and analysis of objects with dispersed components, acting concurrently and synchronizing and communicating one another. This adaptation consists in customizing generic semantics of cause-effect structures to semantics specific to the behaviour of natural objects. That is creating evolution rules for the formal models of these objects. However, the structural, algebraic properties of cause-effect structures are retained. The activity of cellular cause-effect structures is supposed to imitate the activity of cellular automata, the formal system intended for the above-mentioned aims. But operations on syntactic constructions, in particular their transformations and simplification, are the same as for the general cause-effect structures. These algebraic operations are also used to perform certain geometric/topological conversions of location bases for the cellular cause-effect structures, like flat surfaces into cylindrical or toroidal. This is depicted by numerous illustrations. An adaptation of cause-effect structures to other formal descriptions of some natural phenomena, such as reaction systems, is provided in book 331 of the “Lecture Notes in Networks and Systems” series, whereas the complete description of cause-effect structures, in book 45.
Regression-Based Normative Data for Psychological Assessment: A Hands-On Approach Using R
by Wim Van der ElstOver the last 20 years, so-called regression-based normative methods have become increasingly popular. In this approach, regression models for the mean and the residual variance structure are used to derive the normative data. The regression-based normative approach has some important advantages over the traditional normative approach, e.g., it allows for deriving more fine-grained norms and typically requires a substantially smaller sample size to derive accurate norms. This book focuses on regression-based methods to derive normative data. The target audience are psychologists and other researchers in the behavioral sciences who are interested in deriving normative data for psychological tests (e.g., cognitive tests, questionnaires, rating scales, etc.). The book provides the essential theoretical background that is needed to understand the methodology, with a strong emphasis on the practical/real-life application of the methodology. To this end, the book is also accompanied by an open-source software package (the R library NormData) that is used to exemplify how normative data can be derived in several case studies.
Attacks, Defenses and Testing for Deep Learning
by Jinyin Chen Ximin Zhang Haibin ZhengThis book provides a systematic study on the security of deep learning. With its powerful learning ability, deep learning is widely used in CV, FL, GNN, RL, and other scenarios. However, during the process of application, researchers have revealed that deep learning is vulnerable to malicious attacks, which will lead to unpredictable consequences. Take autonomous driving as an example, there were more than 12 serious autonomous driving accidents in the world in 2018, including Uber, Tesla and other high technological enterprises. Drawing on the reviewed literature, we need to discover vulnerabilities in deep learning through attacks, reinforce its defense, and test model performance to ensure its robustness. Attacks can be divided into adversarial attacks and poisoning attacks. Adversarial attacks occur during the model testing phase, where the attacker obtains adversarial examples by adding small perturbations. Poisoning attacks occur during the model training phase, wherethe attacker injects poisoned examples into the training dataset, embedding a backdoor trigger in the trained deep learning model. An effective defense method is an important guarantee for the application of deep learning. The existing defense methods are divided into three types, including the data modification defense method, model modification defense method, and network add-on method. The data modification defense method performs adversarial defense by fine-tuning the input data. The model modification defense method adjusts the model framework to achieve the effect of defending against attacks. The network add-on method prevents the adversarial examples by training the adversarial example detector. Testing deep neural networks is an effective method to measure the security and robustness of deep learning models. Through test evaluation, security vulnerabilities and weaknesses in deep neural networks can be identified. By identifying and fixing these vulnerabilities, the security and robustness of the model can be improved. Our audience includes researchers in the field of deep learning security, as well as software development engineers specializing in deep learning.
Empirical Law and Economics: Price-Fixing and Bid-Rigging Cases in Japan
by Atsushi MakiMaki provides an empirical analysis of law and economics by reevaluating Myrdal's value premises and Weber's separation of analysis and policy.In modern civil society, individuals and businesses conduct economic activities through markets. The mainstream economic theory is the general equilibrium theory, which assumes a perfectly competitive market. The upshot is that transactions through competitive markets maximize the economic welfare of society, with policies such as deregulation and privatization being implemented with the backing of the law. However, in the real economy, legal transactions do not always take place, and this book analyzes price-fixing and bid-rigging cases. These cases show that there is a gap between competition philosophy and legislation. Using the real economy as data, this book conducts an empirical analysis of law and economics and illustrates issues related to the ideals of economics and the proper application of law. Accumulating empirical results will provide the means to form a healthy civil society.A useful reference for graduate students and researchers in economics and legal research, and an interesting read for those who consider economics to be an empirical science.
Empirical Law and Economics: Price-Fixing and Bid-Rigging Cases in Japan
by Atsushi MakiMaki provides an empirical analysis of law and economics by reevaluating Myrdal's value premises and Weber's separation of analysis and policy.In modern civil society, individuals and businesses conduct economic activities through markets. The mainstream economic theory is the general equilibrium theory, which assumes a perfectly competitive market. The upshot is that transactions through competitive markets maximize the economic welfare of society, with policies such as deregulation and privatization being implemented with the backing of the law. However, in the real economy, legal transactions do not always take place, and this book analyzes price-fixing and bid-rigging cases. These cases show that there is a gap between competition philosophy and legislation. Using the real economy as data, this book conducts an empirical analysis of law and economics and illustrates issues related to the ideals of economics and the proper application of law. Accumulating empirical results will provide the means to form a healthy civil society.A useful reference for graduate students and researchers in economics and legal research, and an interesting read for those who consider economics to be an empirical science.
Proceedings of the International Conference on Fundamental and Industrial Research on Materials: iConFIRM 2023, 11−14 December, Ropar, India (Springer Proceedings in Physics #308)
by Rajiv Kumar Abhishek Tiwari Pratik Kumar Ray Neha SardanaThis book presents peer reviewed articles from the International Conference on Fundamental and Industrial Research on Materials- iConFIRM 2023; held from 11th to 14th Dec at Ropar in India. It includes recent advances in the area of mechanics of metallic, nano and energy materials, extractive metallurgy, and processing. Fundamental research works including development and characterization of new alloys, ceramics, composites and nano materials along with advanced characterization techniques such as XRD, SEM and TEM and mathematical modelling, finite element simulations, molecular dynamics, machine learning and similar other advanced numerical, theoretical and experimental techniques in the field of materials and metallurgy.
Computational Design of Battery Materials (Topics in Applied Physics #150)
by Dorian A. H. HanaorThis book presents an essential survey of the state of the art in the application of diverse computational methods to the interpretation, prediction, and design of high-performance battery materials. Rechargeable batteries have become one of the most important technologies supporting the global transition from fossil fuels to renewable energy sources. Aided by the growth of high-performance computing and machine learning technologies, computational methods are being applied to design the battery materials of the future and pave the way to a more sustainable energy economy. In this contributed collection, leading battery material researchers from across the globe share their methods, insights, and expert knowledge in the application of computational methods for battery material design and interpretation. With chapters featuring an array of computational techniques applied to model the relevant properties of cathodes, anodes, and electrolytes, this book provides the ideal starting point for any researcher looking to integrate computational tools in the development of next-generation battery materials and processes.
Medical Image Computing and Computer Assisted Intervention – MICCAI 2023: 26th International Conference, Vancouver, BC, Canada, October 8–12, 2023, Proceedings, Part IX (Lecture Notes in Computer Science #14228)
by James Duncan Tanveer Syeda-Mahmood Hayit Greenspan Anant Madabhushi Russell Taylor Parvin Mousavi Septimiu SalcudeanThe ten-volume set LNCS 14220, 14221, 14222, 14223, 14224, 14225, 14226, 14227, 14228, and 14229 constitutes the refereed proceedings of the 26th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2023, which was held in Vancouver, Canada, in October 2023. The 730 revised full papers presented were carefully reviewed and selected from a total of 2250 submissions. The papers are organized in the following topical sections: Part I: Machine learning with limited supervision and machine learning – transfer learning; Part II: Machine learning – learning strategies; machine learning – explainability, bias, and uncertainty; Part III: Machine learning – explainability, bias and uncertainty; image segmentation; Part IV: Image segmentation; Part V: Computer-aided diagnosis; Part VI: Computer-aided diagnosis; computational pathology; Part VII: Clinical applications – abdomen; clinicalapplications – breast; clinical applications – cardiac; clinical applications – dermatology; clinical applications – fetal imaging; clinical applications – lung; clinical applications – musculoskeletal; clinical applications – oncology; clinical applications – ophthalmology; clinical applications – vascular; Part VIII: Clinical applications – neuroimaging; microscopy; Part IX: Image-guided intervention, surgical planning, and data science; Part X: Image reconstruction and image registration. "Semantic Segmentation of Surgical Hyperspectral Images Under Geometric Domain Shifts" is available open access under a Creative Commons Attribution 4.0 International License via Springerlink.
Credit Rating Migration Risks in Structure Models
by Bei Hu Jin LiangThe book provides the latest research results on measuring Credit Rating Migration by mathematical methods. It brings about most popular mathematical models, methods and applications on this area, especially presents the latest development on structure models. It is systematically collects the models, methods and results in this area. The book first introduced the financial background and preliminary mathematical theory. Then two mainstream mathematical models for measuring default risks, the reduced form model and structure model, are presented. The structure model for measuring credit rating migration risks is the main part of the book and authors prove the existence, uniqueness, regularities, asymptotic behavior, traveling wave and other properties of the solutions of the model. The structural credit rating migration model is also extended to more general case, such as stochastic interest rate, multiple ratings, region switch and so on. Some credit derivatives, and numerical analysis, parameter calibration and estimate of the migration boundary of the models are given in the last two chapters. The book focuses on theoretical financial investigators, especially financial mathematical researchers and students. The book is involved various mathematical models, such as PDE, numerical simulation etc., some of them are interesting mathematical problems, so that, and a good reference book to study mathematical modeling in credit rating migration. It might also be used as a textbook for students in financial credit risks.
Mathematical Aspects of Boundary Element Methods (Chapman & Hall/CRC Research Notes in Mathematics Series)
by Marc BonnetBoundary element methods relate to a wide range of engineering applications, including fluid flow, fracture analysis, geomechanics, elasticity, and heat transfer. Thus, new results in the field hold great importance not only to researchers in mathematics, but to applied mathematicians, physicists, and engineers. A two-day minisymposium Mathematical Aspects of Boundary Element Methods at the IABEM conference in May 1998 brought together top rate researchers from around the world, including Vladimir Maz’ya, to whom the conference was dedicated. Focusing on the mathematical and numerical analysis of boundary integral operators, this volume presents 25 papers contributed to the symposium. Mathematical Aspects of Boundary Element Methods provides up-to-date research results from the point of view of both mathematics and engineering. The authors detail new results, such as on nonsmooth boundaries, and new methods, including domain decomposition and parallelization, preconditioned iterative techniques, multipole expansions, higher order boundary elements, and approximate approximations. Together they illustrate the connections between the modeling of applied problems, the derivation and analysis of corresponding boundary integral equations, and their efficient numerical solutions.
Mathematical Aspects of Boundary Element Methods (Chapman & Hall/CRC Research Notes in Mathematics Series)
by Marc BonnetBoundary element methods relate to a wide range of engineering applications, including fluid flow, fracture analysis, geomechanics, elasticity, and heat transfer. Thus, new results in the field hold great importance not only to researchers in mathematics, but to applied mathematicians, physicists, and engineers. A two-day minisymposium Mathematical Aspects of Boundary Element Methods at the IABEM conference in May 1998 brought together top rate researchers from around the world, including Vladimir Maz’ya, to whom the conference was dedicated. Focusing on the mathematical and numerical analysis of boundary integral operators, this volume presents 25 papers contributed to the symposium. Mathematical Aspects of Boundary Element Methods provides up-to-date research results from the point of view of both mathematics and engineering. The authors detail new results, such as on nonsmooth boundaries, and new methods, including domain decomposition and parallelization, preconditioned iterative techniques, multipole expansions, higher order boundary elements, and approximate approximations. Together they illustrate the connections between the modeling of applied problems, the derivation and analysis of corresponding boundary integral equations, and their efficient numerical solutions.
A Decade of Research Activities at the Department of Industrial Engineering: From Five Existing Departments to the Excellence in Research (Springer Aerospace Technology)
by Sergio De Rosa Nicola Bianco Agostino De Marco Michele GrassiThis open access book celebrates the decennial of the Department of Industrial Engineering of Università di Napoli Federico II, Italy. It covers the main research achievements developed at the department in the fields of aerospace, marine, energy, statistical, mechanical and management engineering. Five pre-existing departments merged in 2013, and the research results are here summarized to certify how important it was to join skills, expertise, and projects. The industrial engineering area is huge, but it is now dominated by the need to conceive and analyze new solutions, human and climate oriented to face with the actual challenges which dictate the new paradigm, which evolved from “is it feasible?” to “is it compatible with the environment and the human beings?”. There is still a lot to do, but the contents of this book demonstrate that the first steps have been done. All the researchers of the department have contributed to this book, more than 140 authors, and thus, it isthe collective outcome of the path they were able to perform all together, including administrative officers and technicians. It highlights the international relevance and multidisciplinarity of research at the university as well as the planned research lines for the next years.
Maschinelles Lernen für die Ingenieurwissenschaften: Einführung in physikalisch informierte, erklärbare Lernverfahren für KI in technischen Anwendungen
by Marcus J NeuerMaschinelles Lernen und künstliche Intelligenz sind omnipräsente Begriffe zur Verbesserung von technischen Prozessen. Die praktische Umsetzung an realen Problemen gestaltet sich aber oft schwierig und komplex. Dieses Lehrbuch erklärt Lernverfahren anhand von analytischen Konzepten im Zusammenspiel mit vollständigen Programmierbeispielen in Python und bezieht sich auf dabei stets auf reale technische Anwendungsszenarien. Es zeigt den Einsatz physikalisch-informierter Lernstrategien, die Einbeziehung von Unsicherheit in die Modellierung und den Aufbau von erklärbarer, vertrauenswürdiger künstlicher Intelligenz mit Hilfe spezialisierter Datenbanken.Dieses Lehrbuch richtet sich somit sowohl an Studierende der Ingenieurswissenschaften, Naturwissenschaft, Medizin und Betriebswirtschaft als auch an Anwender aus der Industrie (vor allem Data Scientists), Entwickler*innen von Expertendatenbanken und Softwareentwickler*innen.
Integrated Computer Technologies in Mechanical Engineering - 2023: Synergetic Engineering, Volume 1 (Lecture Notes in Networks and Systems #1008)
by Mykola Nechyporuk Dmytro Krytskyi Volodymir PavlikovThe International Scientific and Technical Conference “Integrated Computer Technologies in Mechanical Engineering” – Synergetic Engineering (ICTM) was established by National Aerospace University “Kharkiv Aviation Institute”. The Conference ICTM’2023 was held in Kharkiv, Ukraine, during December, 2023. During this conference, technical exchanges between the research community were carried out in the forms of keynote speeches, panel discussions, as well as special session. In addition, participants were treated to a series of receptions, which forge collaborations among fellow researchers. ICTM’2023 received 202 papers submissions from different countries. All of these offer us plenty of valuable information and would be of great benefit to the experience exchange among scientists in modeling and simulation. The organizers of ICTM’2023 made great efforts to ensure the success of this conference. We hereby would like to thank all the members of ICTM’2023 Advisory Committee for their guidance and advice, the members of program committee and organizing committee, and the referees for their effort in reviewing and soliciting the papers, and all authors for their contribution to the formation of a common intellectual environment for solving relevant scientific problems. Also, we grateful to Springer - Janusz Kacprzyk and Thomas Ditzinger as the editor responsible for the series “Lecture Notes in Networks and Systems” for their great support in publishing these selected papers.
Predicting Pandemics in a Globally Connected World, Volume 2: Toward a Multiscale, Multidisciplinary Framework through Modeling and Simulation (Modeling and Simulation in Science, Engineering and Technology)
by Nicola Bellomo Mark Chaplain Maíra AguiarIn an increasingly globally-connected world, the ability to predict, monitor, and contain pandemics is essential to ensure the health and well-being of all. This contributed volume investigates several mathematical techniques for the modeling and simulation of viral pandemics, with a special focus on COVID-19. Modeling a pandemic requires an interdisciplinary approach with other fields such as epidemiology, virology, immunology, and biology in general. Spatial dynamics and interactions are also important features to be considered, and a multiscale framework is needed at the societal level, the level of individuals, and the level of virus particles and the immune system. Chapters in this volume explore the latest research related to these items to demonstrate the utility of a variety of mathematical methods. Perspectives for the future are also offered
Computational Science – ICCS 2023: 23rd International Conference, Prague, Czech Republic, July 3–5, 2023, Proceedings, Part III (Lecture Notes in Computer Science #10475)
by Valeria V. Krzhizhanovskaya Jack J. Dongarra Peter M. A. Sloot Maciej Paszynski Clélia De Mulatier Jiří MikyškaThe five-volume set LNCS 14073-14077 constitutes the proceedings of the 23rd International Conference on Computational Science, ICCS 2023, held in Prague, Czech Republic, during July 3-5, 2023. The total of 188 full papers and 94 short papers presented in this book set were carefully reviewed and selected from 530 submissions. 54 full and 37 short papers were accepted to the main track; 134 full and 57 short papers were accepted to the workshops/thematic tracks. The theme for 2023, "Computation at the Cutting Edge of Science", highlights the role of Computational Science in assisting multidisciplinary research. This conference was a unique event focusing on recent developments in scalable scientific algorithms, advanced software tools; computational grids; advanced numerical methods; and novel application areas. These innovative novel models, algorithms, and tools drive new science through efficient application in physical systems, computational andsystems biology, environmental systems, finance, and others.
The Psychology Behind Design: A Marketing Perspective
by Chris Baumann Jeongmin Lee Wujin ChuThis book explains the psychology theory behind design using plain language. The inspiration came from the "democratic design" philosophy of IKEA. This book attempts to help people enjoy designs more, by explaining consumer psychology that lurks behind designs of everyday things. Another purpose of the book is to aid designers and marketers in understanding consumer behavior and to help them leverage this knowledge in their respective fields. Marketers and designers often find it hard to communicate effectively due to their disparate fields. However, this book aims to bridge this gap by showing that activities in both design and marketing can be better understood through the lens of design psychology, promoting better communication and collaboration. Although the book contains more than a hundred psychology theories that can affect design, it is structured in a reader-friendly manner, and chapters are segmented such that each chapter contains about 7~15 theories. Despite the large amount of academic research behind the theories, the application of these theories comes from commonplace consumer behaviors and daily design examples, promising an easy, relatable read.