- Table View
- List View
High Performance Computing in Science and Engineering '19: Transactions of the High Performance Computing Center, Stuttgart (HLRS) 2019
by Wolfgang E. Nagel Michael M. Resch Dietmar H. KrönerThis book presents the state-of-the-art in supercomputer simulation. It includes the latest findings from leading researchers using systems from the High Performance Computing Center Stuttgart (HLRS) in 2019. The reports cover all fields of computational science and engineering ranging from CFD to computational physics and from chemistry to computer science with a special emphasis on industrially relevant applications. Presenting findings of one of Europe’s leading systems, this volume covers a wide variety of applications that deliver a high level of sustained performance.The book covers the main methods in high-performance computing. Its outstanding results in achieving the best performance for production codes are of particular interest for both scientists and engineers. The book comes with a wealth of color illustrations and tables of results.
High Performance Computing in Science and Engineering '20: Transactions of the High Performance Computing Center, Stuttgart (HLRS) 2020
by Wolfgang E. Nagel Michael M. Resch Dietmar H. KrönerThis book presents the state-of-the-art in supercomputer simulation. It includes the latest findings from leading researchers using systems from the High Performance Computing Center Stuttgart (HLRS) in 2020. The reports cover all fields of computational science and engineering ranging from CFD to computational physics and from chemistry to computer science with a special emphasis on industrially relevant applications. Presenting findings of one of Europe’s leading systems, this volume covers a wide variety of applications that deliver a high level of sustained performance.The book covers the main methods in high-performance computing. Its outstanding results in achieving the best performance for production codes are of particular interest for both scientists and engineers. The book comes with a wealth of color illustrations and tables of results.
High Performance Computing in Science and Engineering '22: Transactions of the High Performance Computing Center, Stuttgart (HLRS) 2022
by Wolfgang E. Nagel Michael M. Resch Dietmar H. KrönerThis book presents the state-of-the-art in supercomputer simulation. It includes the latest findings from leading researchers using systems from the High Performance Computing Center Stuttgart (HLRS) in 2022. The reports cover all fields of computational science and engineering ranging from CFD to computational physics and from chemistry to computer science with a special emphasis on industrially relevant applications. Presenting findings of one of Europe’s leading systems, this volume covers a wide variety of applications that deliver a high level of sustained performance.The book covers the main methods in high-performance computing. Its outstanding results in achieving the best performance for production codes are of particular interest for both scientists and engineers. The book comes with a wealth of color illustrations and tables of results.
High Performance Computing in Science and Engineering ´15: Transactions of the High Performance Computing Center, Stuttgart (HLRS) 2015
by Wolfgang E. Nagel Michael M. Resch Dietmar H. KrönerThis book presents the state-of-the-art in supercomputer simulation. It includes the latest findings from leading researchers using systems from the High Performance Computing Center Stuttgart (HLRS) in 2015. The reports cover all fields of computational science and engineering ranging from CFD to computational physics and from chemistry to computer science with a special emphasis on industrially relevant applications. Presenting findings of one of Europe’s leading systems, this volume covers a wide variety of applications that deliver a high level of sustained performance. The book covers the main methods in high-performance computing. Its outstanding results in achieving the best performance for production codes are of particular interest for both scientists and engineers. The book comes with a wealth of color illustrations and tables of results.
High Performance Computing in Science and Engineering ´16: Transactions of the High Performance Computing Center, Stuttgart (HLRS) 2016
by Wolfgang E. Nagel Michael M. Resch Dietmar H. KrönerThis book presents the state-of-the-art in supercomputer simulation. It includes the latest findings from leading researchers using systems from the High Performance Computing Center Stuttgart (HLRS) in 2016. The reports cover all fields of computational science and engineering ranging from CFD to computational physics and from chemistry to computer science with a special emphasis on industrially relevant applications. Presenting findings of one of Europe’s leading systems, this volume covers a wide variety of applications that deliver a high level of sustained performance.The book covers the main methods in high-performance computing. Its outstanding results in achieving the best performance for production codes are of particular interest for both scientists and engineers. The book comes with a wealth of color illustrations and tables of results.
High Performance Computing in Science and Engineering ‘12
by Wolfgang E. Nagel Michael M. Resch Dietmar H. KrönerThis book presents the state-of-the-art in simulation on supercomputers. Leading researchers present results achieved on systems of the High Performance Computing Center Stuttgart (HLRS) for the year 2012. The reports cover all fields of computational science and engineering ranging from CFD via computational physics and chemistry to computer science with a special emphasis on industrially relevant applications. Presenting results for both vector-systems and micro-processor based systems the book allows to compare performance levels and usability of various architectures. As HLRS operates not only a large cluster system but also one of the largest NEC vector systems in the world this book gives an excellent insight also into the potential of vector systems. The book covers the main methods in high performance computing. Its outstanding results in achieving highest performance for production codes are of particular interest for both the scientist and the engineer. The book comes with a wealth of coloured illustrations and tables of results.
High Performance Computing in Science and Engineering: Third International Conference, HPCSE 2017, Karolinka, Czech Republic, May 22–25, 2017, Revised Selected Papers (Lecture Notes in Computer Science #11087)
by Tomáš Kozubek Radim Blaheta Jakub Šístek Martin Čermák Petr Tichý Dalibor Lukáš Jiří JarošThis book constitutes the thoroughly refereed post-conference proceedings of the Third International Conference on High Performance Computing in Science and Engineering, HPCSE 2017, held in Karolinka, Czech Republic, in May 2017.The 15 papers presented in this volume were carefully reviewed and selected from 20 submissions. The conference provides an international forum for exchanging ideas among researchers involved in scientific and parallel computing, including theory and applications, as well as applied and computational mathematics. The focus of HPCSE 2017 was on models, algorithms, and software tools which facilitate efficient and convenient utilization of modern parallel and distributed computing architectures, as well as on large-scale applications.
High Performance Computing: Programming and Applications (Chapman & Hall/CRC Computational Science)
by John Levesque Gene WagenbrethHigh Performance Computing: Programming and Applications presents techniques that address new performance issues in the programming of high performance computing (HPC) applications. Omitting tedious details, the book discusses hardware architecture concepts and programming techniques that are the most pertinent to application developers for achievi
High Performance Visualization: Enabling Extreme-Scale Scientific Insight (Chapman & Hall/CRC Computational Science)
by Hank Childs E. Wes Bethel Charles HansenVisualization and analysis tools, techniques, and algorithms have undergone a rapid evolution in recent decades to accommodate explosive growth in data size and complexity and to exploit emerging multi- and many-core computational platforms. High Performance Visualization: Enabling Extreme-Scale Scientific Insight focuses on the subset of scientifi
High Possibility STEM Classrooms: Integrated STEM Learning in Research and Practice
by Jane HunterThis book offers a new, research-based approach to STEM education in early, elementary, and middle years of schooling, concentrating on building teacher agency and integrated approaches to teaching and learning in High Possibility STEM Classrooms. Author Jane Hunter presents a globally oriented, contemporary framework for powerful Integrated STEM, based on mixed-methods research data from three studies conducted in 14 schools in language-diverse, disadvantaged, and urbanized communities in Australia. Theory, creativity, life preparation, public learning, and contextual accommodations are all utilized to help educators create hands-on, inquiry-led, and project-based approaches to STEM education in the classroom. A set of highly accessible case studies is offered that places pedagogy at the center of practice – an approach valuable for researchers, school leaders, and teachers alike. Ultimately, this text responds to the call for examples of what successful Integrated STEM teaching and learning looks like in schools. The book concludes with an evidence-based blueprint for preparing for less siloed and more transdisciplinary approaches to education in schools. Hunter argues not only for High Possibility STEM Classrooms but for High Possibility STEM Schools, enriching the dialogue around the future directions of STEM, STEAM, middle leadership, technological literacies, and assessment within contemporary classrooms.
High School Algebra I Unlocked: Your Key to Mastering Algebra I (High School Subject Review)
by Princeton ReviewThis eBook edition has been specially formatted for on-screen viewing with cross-linked questions, answers, and explanations.UNLOCK THE SECRETS OF ALGEBRA I with THE PRINCETON REVIEW.Algebra can be a daunting subject. That's why our new High School Unlocked series focuses on giving you a wide range of key techniques to help you tackle subjects like Algebra I. If one method doesn't "click" for you, you can use an alternative approach to understand the concept or problem, instead of painfully trying the same thing over and over without success. Trust us--unlocking the secrets of Algebra doesn't have to hurt!With this book, you'll discover the link between abstract concepts and their real-world applications and build confidence as your skills improve. Along the way, you'll get plenty of practice, from fully guided examples to independent end-of-chapter drills and test-like samples. Everything You Need to Know About Algebra I.* Complex concepts explained in clear, straightforward ways* Walk-throughs of sample problems for all topics* Clear goals and self-assessments to help you pinpoint areas for further review* Step-by-step examples of different ways to approach problems Practice Your Way to Excellence.* Drills and practice questions in every chapter* Complete answer explanations to boost understanding* ACT- and SAT-like questions for hands-on experience with how Algebra I may appear on major examsHigh School Algebra I Unlocked covers:* exponents and sequences* polynomial expressions* quadratic equations and inequalities* systems of equations* functions* units, conversions, and displaying data... and more!
High School Algebra II Unlocked
by Princeton ReviewThis eBook edition has been specially formatted for on-screen viewing with cross-linked questions, answers, and explanations.UNLOCK THE SECRETS OF ALGEBRA II with THE PRINCETON REVIEW.Algebra can be a daunting subject. That's why our new High School Unlocked series focuses on giving you a wide range of key techniques to help you tackle subjects like Algebra II. If one method doesn't "click" for you, you can use an alternative approach to understand the concept or problem, instead of painfully trying the same thing over and over without success. Trust us--unlocking the secrets of algebra doesn't have to hurt!With this book, you'll discover the link between abstract concepts and their real-world applications and build confidence as your skills improve. Along the way, you'll get plenty of practice, from fully guided examples to independent end-of-chapter drills and test-like samples. Everything You Need to Know About Algebra II.* Complex concepts explained in clear, straightforward ways* Walk-throughs of sample problems for all topics* Clear goals and self-assessments to help you pinpoint areas for further review* Step-by-step examples of different ways to approach problems Practice Your Way to Excellence.* Drills and practice questions in every chapter* Complete answer explanations to boost understanding* ACT- and SAT-like questions for hands-on experience with how Algebra II may appear on major examsHigh School Algebra II Unlocked covers:* complex numbers and polynomials* graphing and solving systems of equations* radical and rational expressions and inequalities* trigonometric equations* logarithmic functions and operations* statistical modeling... and more!
High School Chemistry Unlocked: Your Key to Understanding and Mastering Complex Chemistry Concepts (High School Subject Review)
by The Princeton ReviewUNLOCK THE SECRETS OF CHEMISTRY with THE PRINCETON REVIEW.High School Chemistry Unlocked focuses on giving you a wide range of key lessons to help increase your understanding of chemistry. With this book, you'll move from foundational concepts to complicated, real-world applications, building confidence as your skills improve. End-of-chapter drills will help test your comprehension of each facet of chemistry, from atoms to alpha radiation. Don't feel locked out!Everything You Need to Know About Chemistry.• Complex concepts explained in straightforward ways• Walk-throughs of sample problems for all topics• Clear goals and self-assessments to help you pinpoint areas for further review• Guided examples of how to solve problems for common subjectsPractice Your Way to Excellence.• 165+ hands-on practice questions, seeded throughout the chapters and online• Complete answer explanations to boost understanding• Bonus online questions similar to those you'll find on the AP Chemistry Exam and the SAT Chemistry Subject TestHigh School Chemistry Unlocked covers:• Building blocks of matter• Physical behavior of matter• Chemical bonding• Chemical reactions• Stoichiometry• Solutions• Acids and bases• Equilibrium• Organic chemistry• Radioactivity... and more!
High School Education Tracking and Educational Inequality: From International Rules to Chinese Experience
by Qian Zhao Ajian QianThe book focuses on educational tracking at the high school level and explores its impact on educational inequality.By constructing an analytical framework that combines macro and micro perspectives, the authors aim to provide a thorough analysis of the impact of educational tracking on inequality, offering new empirical evidence for international research on educational and social stratification. By revealing the institutional characteristics and unequal effects of high school educational tracking, the book provides empirical support for optimizing China’s educational tracking policy and advancing the goal of educational equity.The book will appeal to scholars and students of educational tracking, educational equity, and comparative education.
High School Geometry Unlocked
by Princeton ReviewThis eBook edition has been specially formatted for on-screen viewing with cross-linked questions, answers, and explanations.UNLOCK THE SECRETS OF GEOMETRY with THE PRINCETON REVIEW.Geometry can be a daunting subject. That's why our new High School Unlocked series focuses on giving you a wide range of key techniques to help you tackle subjects like Geometry. If one method doesn't "click" for you, you can use an alternative approach to understand the concept or problem, instead of painfully trying the same thing over and over without success. Trust us--unlocking geometric secrets doesn't have to hurt!With this book, you'll discover the link between abstract concepts and their real-world applications and build confidence as your skills improve. Along the way, you'll get plenty of practice, from fully guided examples to independent end-of-chapter drills and test-like samples. Everything You Need to Know About Geometry.* Complex concepts explained in clear, straightforward ways* Walk-throughs of sample problems for all topics* Clear goals and self-assessments to help you pinpoint areas for further review* Step-by-step examples of different ways to approach problems Practice Your Way to Excellence.* Drills and practice questions in every chapter* Complete answer explanations to boost understanding* ACT- and SAT-like questions for hands-on experience with how Geometry may appear on major examsHigh School Geometry Unlocked covers:* translation, reflection, and rotation* congruence and theorems* the relationship between 2-D and 3-D figures* trigonometry* circles, angles, and arcs* probability* the algebra-geometry connection... and more!
High School Math Solution, Algebra II, Volume 1
by Sandy Bartle Finocchi Amy Jones Lewis Josh Fisher Janet Sinopoli Victoria FisherNIMAC-sourced textbook
High School Math Solution, Algebra II, Volume 2
by Sandy Bartle Finocchi Amy Jones Lewis Josh Fisher Janet Sinopoli Victoria FisherNIMAC-sourced textbook
High School Math Solution, Geometry
by Sandy Bartle Finocchi Amy Jones Lewis Josh Fisher Janet Sinopoli Victoria FisherNIMAC-sourced textbook
High School Math Solution, Integrated Math III, Volume 1
by Sandy Bartle Finocchi Amy Jones Lewis Josh Fisher Janet Sinopoli Victoria FisherNIMAC-sourced textbook
High School Math Solution, Integrated Math III, Volume 2
by Sandy Bartle Finocchi Amy Jones Lewis Josh Fisher Janet Sinopoli Victoria FisherNIMAC-sourced textbook
High Temperature Superconductivity (Scottish Graduate Ser. #39)
by D P TunstallHigh Temperature Superconductivity provides a broad survey of high temperature superconductivity, discussing the adaptations of experimental and theoretical techniques and methods that take advantage of the revolutionary properties of high temperature superconductors. Distinguished engineers, chemists, and experimental and theoretical physicists introduce their own particular area of the field before going on to explain current theories and techniques. The book is divided into three sections: materials, mechanisms, and devices. Topics covered include synthetic approaches to the growth of new materials; optical, magnetic, and electrical characterization of synthesized materials; strong correlations; the magnon pairing mechanism; and technical background of device performance in new materials. A coherent introduction to high temperature superconductivity, this volume will be invaluable to researchers in condensed matter physics, chemistry, materials science, and engineering.
High-Dimensional Covariance Estimation
by Mohsen PourahmadiMethods for estimating sparse and large covariance matricesCovariance and correlation matrices play fundamental roles in every aspect of the analysis of multivariate data collected from a variety of fields including business and economics, health care, engineering, and environmental and physical sciences. High-Dimensional Covariance Estimation provides accessible and comprehensive coverage of the classical and modern approaches for estimating covariance matrices as well as their applications to the rapidly developing areas lying at the intersection of statistics and machine learning.Recently, the classical sample covariance methodologies have been modified and improved upon to meet the needs of statisticians and researchers dealing with large correlated datasets. High-Dimensional Covariance Estimation focuses on the methodologies based on shrinkage, thresholding, and penalized likelihood with applications to Gaussian graphical models, prediction, and mean-variance portfolio management. The book relies heavily on regression-based ideas and interpretations to connect and unify many existing methods and algorithms for the task.High-Dimensional Covariance Estimation features chapters on:Data, Sparsity, and RegularizationRegularizing the EigenstructureBanding, Tapering, and ThresholdingCovariance MatricesSparse Gaussian Graphical ModelsMultivariate RegressionThe book is an ideal resource for researchers in statistics, mathematics, business and economics, computer sciences, and engineering, as well as a useful text or supplement for graduate-level courses in multivariate analysis, covariance estimation, statistical learning, and high-dimensional data analysis.
High-Dimensional Covariance Matrix Estimation: An Introduction to Random Matrix Theory (SpringerBriefs in Applied Statistics and Econometrics)
by Aygul ZagidullinaThis book presents covariance matrix estimation and related aspects of random matrix theory. It focuses on the sample covariance matrix estimator and provides a holistic description of its properties under two asymptotic regimes: the traditional one, and the high-dimensional regime that better fits the big data context. It draws attention to the deficiencies of standard statistical tools when used in the high-dimensional setting, and introduces the basic concepts and major results related to spectral statistics and random matrix theory under high-dimensional asymptotics in an understandable and reader-friendly way. The aim of this book is to inspire applied statisticians, econometricians, and machine learning practitioners who analyze high-dimensional data to apply the recent developments in their work.
High-Dimensional Optimization: Set Exploration in the Non-Asymptotic Regime (SpringerBriefs in Optimization)
by Anatoly Zhigljavsky Jack NoonanThis book is interdisciplinary and unites several areas of applied probability, statistics, and computational mathematics including computer experiments, optimal experimental design, and global optimization. The bulk of the book is based on several recent papers by the authors but also contains new results. Considering applications, this brief highlights multistart and other methods of global optimizations requiring efficient exploration of the domain of optimization. This book is accessible to a wide range of readers; the prerequisites for reading the book are rather low, and many numerical examples are provided that pictorially illustrate the main ideas, methods, and conclusions. The main purpose of this book is the construction of efficient exploration strategies of high-dimensional sets. In high dimensions, the asymptotic arguments could be practically misleading and hence the emphasis on the non-asymptotic regime. An important link with global optimization stems from the observation that approximate covering is one of the key concepts associated with multistart and other key random search algorithms. In addition to global optimization, important applications of the results are computer experiments and machine learning. It is demonstrated that the asymptotically optimal space-filling designs, such as pure random sampling or low-discrepancy point nets, could be rather inefficient in the non-asymptotic regime and the authors suggest ways of increasing the efficiency of such designs. The range of techniques ranges from experimental design, Monte Carlo, and asymptotic expansions in the central limit theorem to multivariate geometry, theory of lattices, and numerical integration. This book could be useful to a wide circle of readers, especially those specializing in global optimization, numerical analysis, computer experiments, and computational mathematics. As specific recipes for improving set exploration schemes are formulated, the book can also be used by the practitioners interested in applications only.
High-Dimensional Probability: An Introduction with Applications in Data Science (Cambridge Series in Statistical and Probabilistic Mathematics #47)
by Roman VershyninHigh-dimensional probability offers insight into the behavior of random vectors, random matrices, random subspaces, and objects used to quantify uncertainty in high dimensions. Drawing on ideas from probability, analysis, and geometry, it lends itself to applications in mathematics, statistics, theoretical computer science, signal processing, optimization, and more. It is the first to integrate theory, key tools, and modern applications of high-dimensional probability. Concentration inequalities form the core, and it covers both classical results such as Hoeffding's and Chernoff's inequalities and modern developments such as the matrix Bernstein's inequality. It then introduces the powerful methods based on stochastic processes, including such tools as Slepian's, Sudakov's, and Dudley's inequalities, as well as generic chaining and bounds based on VC dimension. A broad range of illustrations is embedded throughout, including classical and modern results for covariance estimation, clustering, networks, semidefinite programming, coding, dimension reduction, matrix completion, machine learning, compressed sensing, and sparse regression.