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My Math [Grade 5, Volume 1]

NIMAC-sourced textbook

My Math, Oklahoma Focus, [Grade 4]

My Revision Notes: AQA Level 2 Certificate in Further Mathematics

Target success in the AQA Certificate in Further Maths with this proven formula for effective, structured revision. Key content coverage and numerous worked examples are combined with exam-style questions to create a revision guide that students can rely on to review, strengthen and test their knowledge.- Help develop the key skills needed for success with skills-focused and problem solving questions, covering the 2018 specification.- Strategically target revision with diagnostic questions to establish which areas need focus.- Get assessment-ready with exam-style questions and advice on common examination pitfalls.- Revise effectively with advice on exam preparation, plus special focus on common pitfalls such as how to show correct workings.- Improve answers with full step-by-step worked solutions to all questions provided online for free.

My Revision Notes: OCR Level 3 Free Standing Mathematics Qualification: Additional Maths (2nd edition)

Exam Board: OCRLevel: Free Standing Mathematics QualificationSubject: Additional MathematicsFirst Teaching: September 2018First Exam: June 2019Target success in OCR Additional Mathematics with this proven formula for effective, structured revision. Key content coverage is combined with numerous worked examples and exam-style questions to create a revision guide that students can rely on to review, strengthen and test their knowledge.- Develop the key skills needed for success with skills-focused questions around problem-solving, covering the 2018 specification.- Strategically target revision with diagnostic questions that establish which topics need focus. - Get assessment-ready with exam-style questions and advice on common mistakes and how to show the correct workings.- Reinforce knowledge and identify weaknesses using hundreds of questions supported by answers in the back of the book

Mylab Statistics: Modeling The World

Stats Modeling The World AP Edition

National Subcommissions of ICMI and their Role in the Reform of Mathematics Education (International Studies in the History of Mathematics and its Teaching)

ICMI (or IMUK) was founded in 1908 and initiated the establishment of national subcommissions to launch national activities in response to the IMUK agenda and to promote the reform proposals within each member country.While ICMI’s activities were thoroughly studied, the activities of the national subcommissions are studied only very marginally. In the meantime, their work has been of major importance – both because of their role in exploring and documenting the development of mathematics education at the beginning of the 20th century, and because of the changes and new ideas which they brought to their countries. Importantly, even if some results of their activities were analyzed within their countries in the corresponding languages, almost nothing is known internationally. This book is planned to deepen our knowledge on at least some of the national subcommissions. The book will interest both researchers and others interested in mathematics education and its development.

Natural Language Processing and Chinese Computing: 8th CCF International Conference, NLPCC 2019, Dunhuang, China, October 9–14, 2019, Proceedings, Part II (Lecture Notes in Computer Science #11839)

This two-volume set of LNAI 11838 and LNAI 11839 constitutes the refereed proceedings of the 8th CCF Conference on Natural Language Processing and Chinese Computing, NLPCC 2019, held in Dunhuang, China, in October 2019. The 85 full papers and 56 short papers presented were carefully reviewed and selected from 492 submissions. They are organized in the following topical sections: Conversational Bot/QA/IR; Knowledge graph/IE; Machine Learning for NLP; Machine Translation; NLP Applications; NLP for Social Network; NLP Fundamentals; Text Mining; Short Papers; Explainable AI Workshop; Student Workshop: Evaluation Workshop.

Natural Language Processing and Chinese Computing: 8th CCF International Conference, NLPCC 2019, Dunhuang, China, October 9–14, 2019, Proceedings, Part I (Lecture Notes in Computer Science #11838)

This two-volume set of LNAI 11838 and LNAI 11839 constitutes the refereed proceedings of the 8th CCF Conference on Natural Language Processing and Chinese Computing, NLPCC 2019, held in Dunhuang, China, in October 2019. The 85 full papers and 56 short papers presented were carefully reviewed and selected from 492 submissions. They are organized in the following topical sections: Conversational Bot/QA/IR; Knowledge graph/IE; Machine Learning for NLP; Machine Translation; NLP Applications; NLP for Social Network; NLP Fundamentals; Text Mining; Short Papers; Explainable AI Workshop; Student Workshop: Evaluation Workshop.

Nature Inspired Optimization Techniques for Image Processing Applications (Intelligent Systems Reference Library #150)

This book provides a platform for exploring nature-inspired optimization techniques in the context of imaging applications. Optimization has become part and parcel of all computational vision applications, and since the amount of data used in these applications is vast, the need for optimization techniques has increased exponentially. These accuracy and complexity are a major area of concern when it comes to practical applications. However, these optimization techniques have not yet been fully explored in the context of imaging applications. By presenting interdisciplinary concepts, ranging from optimization to image processing, the book appeals to a broad readership, while also encouraging budding engineers to pursue and employ innovative nature-inspired techniques for image processing applications.

Network Science: An Aerial View

This book provides an overview of network science from the perspective of diverse academic fields, offering insights into the various research areas within network science. The authoritative contributions on statistical network analysis, mathematical network science, genetic networks, Bayesian networks, network visualisation, and systemic risk in networks explore the main questions in the respective fields: What has been achieved to date? What are the research challenges and obstacles? What are the possible interconnections with other fields? And how can cross-fertilization between these fields be promoted? Network science comprises numerous scientific disciplines, including computer science, economics, mathematics, statistics, social sciences, bioinformatics, and medicine, among many others. These diverse research areas require and use different data-analytic and numerical methods as well as different theoretical approaches. Nevertheless, they all examine and describe interdependencies, associations, and relationships of entities in different kinds of networks. The book is intended for researchers as well as interested readers working in network science who want to learn more about the field – beyond their own research or work niche. Presenting network science from different perspectives without going into too much technical detail, it allows readers to gain an overview without having to be a specialist in any or all of these disciplines.

Network Theory and Agent-Based Modeling in Economics and Finance

This book presents the latest findings on network theory and agent-based modeling of economic and financial phenomena. In this context, the economy is depicted as a complex system consisting of heterogeneous agents that interact through evolving networks; the aggregate behavior of the economy arises out of billions of small-scale interactions that take place via countless economic agents. The book focuses on analytical modeling, and on the econometric and statistical analysis of the properties emerging from microscopic interactions. In particular, it highlights the latest empirical and theoretical advances, helping readers understand economic and financial networks, as well as new work on modeling behavior using rich, agent-based frameworks. Innovatively, the book combines observational and theoretical insights in the form of networks and agent-based models, both of which have proved to be extremely valuable in understanding non-linear and evolving complex systems. Given its scope, the book will capture the interest of graduate students and researchers from various disciplines (e.g. economics, computer science, physics, and applied mathematics) whose work involves the domain of complexity theory.

Neue Materialien für einen realitätsbezogenen Mathematikunterricht 6: ISTRON-Schriftenreihe (Realitätsbezüge im Mathematikunterricht)

Dieser neue ISTRON-Band bietet einen bunten Strauß aktueller Beispiele für einen Mathematikunterricht mit Realitätsbezug. Modellierungskompetenz ist gefragt und wird in Lehrplänen gefordert. Realitätsbezogener Mathematikunterricht motiviert die Schülerinnen und Schüler. Diese Art von Unterricht trägt wesentlich zur Modellierungskompetenz bei durch die Beantwortung der wichtigen Frage: "Wozu sollen wir das lernen?".Die Autorinnen und Autoren sind erfahrene Lehrerinnen und Lehrer sowie Mathematikdidaktikerinnen und Mathematikdidaktiker, die für dieses Buch im Mathematikunterricht erfolgreich einsetzbare und schon erprobte Unterrichtsvorschläge aufgeschrieben haben.

Neural Modeling of Speech Processing and Speech Learning: An Introduction

This book explores the processes of spoken language production and perception from a neurobiological perspective. After presenting the basics of speech processing and speech acquisition, a neurobiologically-inspired and computer-implemented neural model is described, which simulates the neural processes of speech processing and speech acquisition. This book is an introduction to the field and aimed at students and scientists in neuroscience, computer science, medicine, psychology and linguistics.

Neural Networks and Statistical Learning

This book provides a broad yet detailed introduction to neural networks and machine learning in a statistical framework. A single, comprehensive resource for study and further research, it explores the major popular neural network models and statistical learning approaches with examples and exercises and allows readers to gain a practical working understanding of the content. This updated new edition presents recently published results and includes six new chapters that correspond to the recent advances in computational learning theory, sparse coding, deep learning, big data and cloud computing.Each chapter features state-of-the-art descriptions and significant research findings. The topics covered include:• multilayer perceptron;• the Hopfield network;• associative memory models;• clustering models and algorithms;• t he radial basis function network;• recurrent neural networks;• nonnegative matrix factorization;• independent component analysis;•probabilistic and Bayesian networks; and• fuzzy sets and logic.Focusing on the prominent accomplishments and their practical aspects, this book provides academic and technical staff, as well as graduate students and researchers with a solid foundation and comprehensive reference on the fields of neural networks, pattern recognition, signal processing, and machine learning.

A New Development at the Intersection of Nuclear Structure and Reaction Theory

This book highlights a major advance in low-energy scattering theory: the Multi-Channel Algebraic Scattering (MCAS) theory, which represents an attempt to unify structure and reaction theory. It solves the Lippmann–Schwinger equations for low-energy nucleon-nucleus and alpha-nucleus scattering in momentum space, allowing both the bound and scattering states in the compound nucleus formed to be described. Results of various cases are presented and discussed.

New Developments and Advances in Robot Control (Studies in Systems, Decision and Control #175)

This book highlights relevant studies and applications in the area of robotics, which reflect the latest research, from interdisciplinary theoretical studies and computational algorithm development, to representative applications. It presents chapters on advanced control, such as fuzzy, neural, backstepping, sliding mode, adaptive, predictive, diagnosis and fault tolerant control etc. and addresses topics including cloud robotics, cable-driven robots, two-wheeled robots, mobile robots, swarm robots, hybrid vehicle, and drones. Each chapter employs a uniform structure: background, motivation, quantitative development (equations), case studies/illustration/tutorial (simulations, experiences, curves, tables, etc.), allowing readers to easily tailor the techniques to their own applications.

New Developments in Materials for Infrastructure Sustainability and the Contemporary Issues in Geo-environmental Engineering: Proceedings of the 5th GeoChina International Conference 2018 – Civil Infrastructures Confronting Severe Weathers and Climate Changes: From Failure to Sustainability, held on July 23 to 25, 2018 in HangZhou, China (Sustainable Civil Infrastructures)

This book contains research papers focusing on recent advances throughout the world in theories and technologies of geotechnical engineering and the relevant disciplines. Topics includes: numerical modeling, earthquake engineering, geomaterial application in soil improvement and geo-environmental engineering, foundation engineering, and geo-environmental engineering.. Papers were selected from the 5th GeoChina International Conference 2018 – Civil Infrastructures Confronting Severe Weathers and Climate Changes: From Failure to Sustainability, held on July 23 to 25, 2018 in HangZhou, China.

New Enjoying Mathematics class 1 - ICSE

"New Enjoying Mathematics: Class 1" by Oxford School Education is a vibrant and comprehensive textbook for first-grade students. This engaging resource introduces key mathematical concepts such as numbers, addition, subtraction, shapes, patterns, measurement, time, and money. Through a blend of theory, practical examples, and interactive activities, the book aims to cultivate a love for mathematics and develop critical thinking and problem-solving skills. With colorful illustrations, diagrams, and relatable real-life examples, students can easily connect mathematical concepts to their everyday lives. The book includes practice exercises to reinforce learning and offers guidance for teachers and parents. "New Enjoying Mathematics: Class 1" is an accessible and student-friendly textbook designed to build a solid foundation in mathematics while fostering a positive attitude towards the subject.

A New Hypothesis on the Anisotropic Reynolds Stress Tensor for Turbulent Flows: Volume I: Theoretical Background and Development of an Anisotropic Hybrid k-omega Shear-Stress Transport/Stochastic Turbulence Model (Fluid Mechanics and Its Applications #120)

This book gives a mathematical insight--including intermediate derivation steps--into engineering physics and turbulence modeling related to an anisotropic modification to the Boussinesq hypothesis (deformation theory) coupled with the similarity theory of velocity fluctuations. Through mathematical derivations and their explanations, the reader will be able to understand new theoretical concepts quickly, including how to put a new hypothesis on the anisotropic Reynolds stress tensor into engineering practice. The anisotropic modification to the eddy viscosity hypothesis is in the center of research interest, however, the unification of the deformation theory and the anisotropic similarity theory of turbulent velocity fluctuations is still missing from the literature. This book brings a mathematically challenging subject closer to graduate students and researchers who are developing the next generation of anisotropic turbulence models. Indispensable for graduate students, researchers and scientists in fluid mechanics and mechanical engineering.

New Statistical Developments in Data Science: SIS 2017, Florence, Italy, June 28-30 (Springer Proceedings in Mathematics & Statistics #288)

This volume collects the extended versions of papers presented at the SIS Conference “Statistics and Data Science: new challenges, new generations”, held in Florence, Italy on June 28-30, 2017. Highlighting the central role of statistics and data analysis methods in the era of Data Science, the contributions offer an essential overview of the latest developments in various areas of statistics research. The 35 contributions have been divided into six parts, each of which focuses on a core area contributing to “Data Science”. The book covers topics including strong statistical methodologies, Bayesian approaches, applications in population and social studies, studies in economics and finance, techniques of sample design and mathematical statistics. Though the book is mainly intended for researchers interested in the latest frontiers of Statistics and Data Analysis, it also offers valuable supplementary material for students of the disciplines dealt with here. Lastly, it will help Statisticians and Data Scientists recognize their counterparts’ fundamental role.

New Tools for Nonlinear PDEs and Application (Trends in Mathematics)

This book features a collection of papers devoted to recent results in nonlinear partial differential equations and applications. It presents an excellent source of information on the state-of-the-art, new methods, and trends in this topic and related areas. Most of the contributors presented their work during the sessions "Recent progress in evolution equations" and "Nonlinear PDEs" at the 12th ISAAC congress held in 2017 in Växjö, Sweden. Even if inspired by this event, this book is not merely a collection of proceedings, but a stand-alone project gathering original contributions from active researchers on the latest trends in nonlinear evolution PDEs.

New Trends in Applied Harmonic Analysis, Volume 2: Harmonic Analysis, Geometric Measure Theory, and Applications (Applied and Numerical Harmonic Analysis)

This contributed volume collects papers based on courses and talks given at the 2017 CIMPA school Harmonic Analysis, Geometric Measure Theory and Applications, which took place at the University of Buenos Aires in August 2017. These articles highlight recent breakthroughs in both harmonic analysis and geometric measure theory, particularly focusing on their impact on image and signal processing. The wide range of expertise present in these articles will help readers contextualize how these breakthroughs have been instrumental in resolving deep theoretical problems. Some topics covered include:Gabor framesFalconer distance problemHausdorff dimensionSparse inequalitiesFractional Brownian motionFourier analysis in geometric measure theoryThis volume is ideal for applied and pure mathematicians interested in the areas of image and signal processing. Electrical engineers and statisticians studying these fields will also find this to be a valuable resource.

New Trends in Databases and Information Systems: ADBIS 2019 Short Papers, Workshops BBIGAP, QAUCA, SemBDM, SIMPDA, M2P, MADEISD, and Doctoral Consortium, Bled, Slovenia, September 8–11, 2019, Proceedings (Communications in Computer and Information Science #1064)

This book constitutes the thoroughly refereed short papers, workshops and doctoral consortium papers of the 23rd European Conference on Advances in Databases and Information Systems, ADBIS 2019, held in Bled, Slovenia, in September 2019.The 19 short research papers and the 5 doctoral consortium papers were carefully reviewed and selected from 103 submissions, and the 31 workshop papers were selected out of 67 submitted papers. The papers are organized in the following sections: Short Papers; Workshops Papers; Doctoral Consortium Papers; and cover a wide spectrum of topics related to database and information systems technologies for advanced applications.

New Trends in One-Dimensional Dynamics: In Honour of Welington de Melo on the Occasion of His 70th Birthday IMPA 2016, Rio de Janeiro, Brazil, November 14–17 (Springer Proceedings in Mathematics & Statistics #285)

This volume presents the proceedings of the meeting New Trends in One-Dimensional Dynamics, which celebrated the 70th birthday of Welington de Melo and was held at the IMPA, Rio de Janeiro, in November 2016. Highlighting the latest results in one-dimensional dynamics and its applications, the contributions gathered here also celebrate the highly successful meeting, which brought together experts in the field, including many of Welington de Melo’s co-authors and former doctoral students.Sadly, Welington de Melo passed away shortly after the conference, so that the present volume became more a tribute to him. His role in the development of mathematics was undoubtedly an important one, especially in the area of low-level dynamics, and his legacy includes, in addition to many articles with fundamental contributions, books that are required reading for all newcomers to the field.

Newton the Alchemist: Science, Enigma, and the Quest for Nature's "Secret Fire"

A book that finally demystifies Newton’s experiments in alchemyWhen Isaac Newton’s alchemical papers surfaced at a Sotheby’s auction in 1936, the quantity and seeming incoherence of the manuscripts were shocking. No longer the exemplar of Enlightenment rationality, the legendary physicist suddenly became “the last of the magicians.” Newton the Alchemist unlocks the secrets of Newton’s alchemical quest, providing a radically new understanding of the uncommon genius who probed nature at its deepest levels in pursuit of empirical knowledge.In this evocative and superbly written book, William Newman blends in-depth analysis of newly available texts with laboratory replications of Newton’s actual experiments in alchemy. He does not justify Newton’s alchemical research as part of a religious search for God in the physical world, nor does he argue that Newton studied alchemy to learn about gravitational attraction. Newman traces the evolution of Newton’s alchemical ideas and practices over a span of more than three decades, showing how they proved fruitful in diverse scientific fields. A precise experimenter in the realm of “chymistry,” Newton put the riddles of alchemy to the test in his lab. He also used ideas drawn from the alchemical texts to great effect in his optical experimentation. In his hands, alchemy was a tool for attaining the material benefits associated with the philosopher’s stone and an instrument for acquiring scientific knowledge of the most sophisticated kind.Newton the Alchemist provides rare insights into a man who was neither Enlightenment rationalist nor irrational magus, but rather an alchemist who sought through experiment and empiricism to alter nature at its very heart.