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Realizing the Potential of the American Community Survey: Challenges, Tradeoffs, and Opportunities
by Panel on Addressing Priority Technical Issues for the Next Decade of the American Community SurveyThe American Community Survey (ACS) was conceptualized as a replacement to the census long form, which collected detailed population and housing data from a sample of the U. S. population, once a decade, as part of the decennial census operations. The long form was traditionally the main source of socio-economic information for areas below the national level. The data provided for small areas, such as counties, municipalities, and neighborhoods is what made the long form unique, and what makes the ACS unique today. Since the successful transition from the decennial long form in 2005, the ACS has become an invaluable resource for many stakeholders, particularly for meeting national and state level data needs. However, due to inadequate sample sizes, a major challenge for the survey is producing reliable estimates for smaller geographic areas, which is a concern because of the unique role fulfilled by the long form, and now the ACS, of providing data with a geographic granularity that no other federal survey could provide. In addition to the primary challenge associated with the reliability of the estimates, this is also a good time to assess other aspects of the survey in order to identify opportunities for refinement based on the experience of the first few years. "Realizing the Potential of the American Community Survey" provides input on ways of improving the ACS, focusing on two priority areas: identifying methods that could improve the quality of the data available for small areas, and suggesting changes that would increase the survey's efficiency in responding to new data needs. This report considers changes that the ACS office should consider over the course of the next few years in order to further improve the ACS data. The recommendations of "Realizing the Potential of the American Community Survey" will help the Census Bureau improve performance in several areas, which may ultimately lead to improved data products as the survey enters its next decade.
The Really Useful Maths Book: A guide to interactive teaching (The\really Useful Ser.)
by Tony Brown Henry LieblingThe Really Useful Maths Book is for all those who want children to enjoy the challenge of learning mathematics. With suggestions about the best ways to use resources and equipment to support learning, it describes in detail how to make learning the easy option for children.An easy-to-follow, comprehensive guide packed with ideas and activities, it is the perfect tool to help teachers who wish to develop their teaching strategies. The second edition has been fully updated in light of the latest research, as well as in response to the new mathematics curriculum. It includes many more practical activities for each mathematical topic and explores exciting new areas. Key topics covered include: Numbers and the number system Operations and calculations Shape and space Measures, statistics and data handling Cross-curricular approaches Resources and planning for teaching and learning Contexts for making sense of mathematics Bridges, strategies and personal qualities Dialogue and interactive teaching International perspectives on teaching and learning Psychology and neuroscience to maximize learning. The Really Useful Maths Book makes mathematics meaningful, challenging and interesting. It will be invaluable to practicing primary teachers, subject specialists, maths co-ordinators, student teachers, mentors, tutors, home educators and others interested in mathematics education programmes. Tony Brown was formerly the Director of ESCalate, the UK Centre for Education in HE at the Graduate School of Education, University of Bristol, UK. Henry Liebling formerly led Primary Mathematics Education at University College Plymouth, Marjon, UK.
The Really Useful Maths Book: A guide to interactive teaching (The Really Useful)
by Tony Brown Henry LieblingThe Really Useful Maths Book is for all those who want children to enjoy the challenge of learning mathematics. With suggestions about the best ways to use resources and equipment to support learning, it describes in detail how to make learning the easy option for children. An easy-to-follow, comprehensive guide packed with ideas and activities, it is the perfect tool to help teachers who wish to develop their teaching strategies. The second edition has been fully updated in light of the latest research, as well as in response to the new mathematics curriculum. It includes many more practical activities for each mathematical topic and explores exciting new areas. Key topics covered include: Numbers and the number system Operations and calculations Shape and space Measures, statistics and data handling Cross-curricular approaches Resources and planning for teaching and learning Contexts for making sense of mathematics Bridges, strategies and personal qualities Dialogue and interactive teaching International perspectives on teaching and learning Psychology and neuroscience to maximize learning. The Really Useful Maths Book makes mathematics meaningful, challenging and interesting. It will be invaluable to practicing primary teachers, subject specialists, maths co-ordinators, student teachers, mentors, tutors, home educators and others interested in mathematics education programmes.Tony Brown was formerly the Director of ESCalate, the UK Centre for Education in HE at the Graduate School of Education, University of Bristol, UK. Henry Liebling formerly led Primary Mathematics Education at University College Plymouth, Marjon, UK.
Reason to Be Happy: Why logical thinking is the key to a better life
by Kaushik Basu'Reason to Be Happy is a wise and witty book that shows how thinking clearly can help us find happiness in our daily lives, get more of what we want, and even make the world a better place' Hannah FryWhy do our friends have more friends than we do? How do you book the best available seats on a plane? And if jogging for ten minutes adds eight minutes to our life expectancy, should we still go jogging?The ability to reason is one of our most undervalued skills. In everyday life, the key is to put yourself in the shoes of a clever competitor and think about how they might respond. Whether you are dealing with events on the scale of the Cuban missile crisis or letting go of anger, leading economist Professor Kaushik Basu shows how game theory - the logic of social situations - can help us achieve better outcomes and lasting happiness.Full of fascinating thought experiments and puzzles, Reason to Be Happy is a paean to the power of rationality. If you want to have a good life and even make the world a better place, you can start by thinking clearly.
The Reasoning of Quantum Mechanics: Operator Theory and the Harmonic Oscillator (Synthesis Lectures on Engineering, Science, and Technology)
by Horst BeyerThis book presents and details the process of quantization of a classical mechanical system in a relevant physical system, the harmonic oscillator. In quantum field theory or general relativity, mathematics and physics are inextricably interwoven. As such, the book is mathematically rigorous. The author focuses on the properties of the quantum system that can be observed and measured and interprets the resulting theory. The methods of operator theory are discussed throughout in the formulation of the theory as well as in the calculation of the consequences of the theory. The book addresses the mathematical support of the probabilistic interpretation of quantum mechanics through the spectral theorems for (densely-defined and linear) self-adjoint operators in Hilbert spaces. Considerable focus is placed on the measurement process and questions the challenges of the wave function, the EPR paradox, and Bell’s inequality.
The Reasoning of Quantum Mechanics: Operator Theory and the Harmonic Oscillator (Synthesis Lectures on Engineering, Science, and Technology)
by Horst R. BeyerThis Second Edition presents and details the process of quantization of a classical mechanical system in a relevant physical system, the harmonic oscillator. As mathematics and physics are inextricably interwoven in quantum theories, the author takes a mathematically rigorous approach. The book focuses on properties of the quantum system that can be observed and measured, and the author then interprets the resulting theory. The book covers methods of operator theory in the formulation of the theory as well as in the calculation of the consequences of the theory. The author addresses the mathematical foundation of the probabilistic interpretation of quantum mechanics through the spectral theorems for (densely-defined and linear) self-adjoint operators in complex Hilbert spaces. The book also explains the measurement process and questions the challenges of the wave function, the EPR paradox, and Bell’s inequality.
Reasoning Web: 12th International Summer School 2016, Aberdeen, UK, September 5-9, 2016, Tutorial Lectures (Lecture Notes in Computer Science #9885)
by Jeff Z. Pan, Diego Calvanese, Thomas Eiter, Ian Horrocks, Michael Kifer, Fangzhen Lin and Yuting ZhaoThis volume contains some lecture notes of the 12th Reasoning Web Summer School (RW 2016), held in Aberdeen, UK, in September 2016.In 2016, the theme of the school was “Logical Foundation of Knowledge Graph Construction and Query Answering”. The notion of knowledge graph has become popular since Google started to use it to improve its search engine in 2012. Inspired by the success of Google, knowledge graphs are gaining momentum in the World Wide Web arena. Recent years have witnessed increasing industrial take-ups by other Internet giants, including Facebook's Open Graph and Microsoft's Satori. The aim of the lecture note is to provide a logical foundation for constructing and querying knowledge graphs. Our journey starts from the introduction of Knowledge Graph as well as its history, and the construction of knowledge graphs by considering both explicit and implicit author intentions. The book will then cover various topics, including how to revise and reuse ontologies (schema of knowledge graphs) in a safe way, how to combine navigational queries with basic pattern matching queries for knowledge graph, how to setup a environment to do experiments on knowledge graphs, how to deal with inconsistencies and fuzziness in ontologies and knowledge graphs, and how to combine machine learning and machine reasoning for knowledge graphs.
Reasoning Web. Declarative Artificial Intelligence: 17th International Summer School 2021, Leuven, Belgium, September 8–15, 2021, Tutorial Lectures (Lecture Notes in Computer Science #13100)
by Mantas Šimkus Ivan VarzinczakThe purpose of the Reasoning Web Summer School is to disseminate recent advances on reasoning techniques and related issues that are of particular interest to Semantic Web and Linked Data applications. It is primarily intended for postgraduate students, postdocs, young researchers, and senior researchers wishing to deepen their knowledge. As in the previous years, lectures in the summer school were given by a distinguished group of expert lecturers.The broad theme of this year's summer school was again “Declarative Artificial Intelligence” and it covered various aspects of ontological reasoning and related issues that are of particular interest to Semantic Web and Linked Data applications. The following eight lectures were presented during the school: Foundations of Graph Path Query Languages; On Combining Ontologies and Rules; Modelling Symbolic Knowledge Using Neural Representations; Mining the Semantic Web with Machine Learning: Main Issues That Need to Be Known; Temporal ASP: From Logical Foundations to Practical Use with telingo; A Review of SHACL: From Data Validation to Schema Reasoning for RDF Graphs; and Score-Based Explanations in Data Management and Machine Learning.
Reasoning Web. Explainable Artificial Intelligence: 15th International Summer School 2019, Bolzano, Italy, September 20–24, 2019, Tutorial Lectures (Lecture Notes in Computer Science #11810)
by Markus Krötzsch Daria StepanovaThis volume contains lecture notes of the 15th Reasoning Web Summer School (RW 2019), held in Bolzano, Italy, in September 2019. The research areas of Semantic Web, Linked Data, and Knowledge Graphs have recently received a lot of attention in academia and industry. Since its inception in 2001, the Semantic Web has aimed at enriching the existing Web with meta-data and processing methods, so as to provide Web-based systems with intelligent capabilities such as context awareness and decision support. The Semantic Web vision has been driving many community efforts which have invested a lot of resources in developing vocabularies and ontologies for annotating their resources semantically. Besides ontologies, rules have long been a central part of the Semantic Web framework and are available as one of its fundamental representation tools, with logic serving as a unifying foundation. Linked Data is a related research area which studies how one can make RDF data available on the Web and interconnect it with other data with the aim of increasing its value for everybody. Knowledge Graphs have been shown useful not only for Web search (as demonstrated by Google, Bing, etc.) but also in many application domains.
Reasoning Web. Learning, Uncertainty, Streaming, and Scalability: 14th International Summer School 2018, Esch-sur-Alzette, Luxembourg, September 22–26, 2018, Tutorial Lectures (Lecture Notes in Computer Science #11078)
by Claudia D’Amato Martin TheobaldThis volume contains lecture notes of the 14th Reasoning Web Summer School (RW 2018), held in Esch-sur-Alzette, Luxembourg, in September 2018. The research areas of Semantic Web, Linked Data, and Knowledge Graphs have recently received a lot of attention in academia and industry. Since its inception in 2001, the Semantic Web has aimed at enriching the existing Web with meta-data and processing methods, so as to provide Web-based systems with intelligent capabilities such as context awareness and decision support. The Semantic Web vision has been driving many community efforts which have invested a lot of resources in developing vocabularies and ontologies for annotating their resources semantically. Besides ontologies, rules have long been a central part of the Semantic Web framework and are available as one of its fundamental representation tools, with logic serving as a unifying foundation. Linked Data is a related research area which studies how one can make RDF data available on the Web and interconnect it with other data with the aim of increasing its value for everybody. Knowledge Graphs have been shown useful not only for Web search (as demonstrated by Google, Bing, etc.) but also in many application domains.
Reasons to Reason in Primary Maths and Science
by Alison Borthwick Alan CrossHow can teachers help children to develop reasoning skills? What is reasoning and how do we teach it? Much is being said in schools and education about the importance of reasoning skills. This book explores what reasoning is and what it is not. It includes examples of how reasoning in primary mathematics and science classes can develop. It shows how a connection between the 'skills' of mathematics and science can help children to gain a better understanding of reasoning. What is a conjecture? What makes you think? What makes you think about your thinking? What does reasoning look like? With links to classroom practice and examples of effective teaching throughout, this book not only provides an exploration of what reasoning is and why it's important - it also show you how to develop children's reasoning skills in your classroom.
Reasons to Reason in Primary Maths and Science
by Alan Cross Alison BorthwickHow can teachers help children to develop reasoning skills? What is reasoning and how do we teach it? Much is being said in schools and education about the importance of reasoning skills. This book explores what reasoning is and what it is not. It includes examples of how reasoning in primary mathematics and science classes can develop. It shows how a connection between the 'skills' of mathematics and science can help children to gain a better understanding of reasoning. What is a conjecture? What makes you think? What makes you think about your thinking? What does reasoning look like? With links to classroom practice and examples of effective teaching throughout, this book not only provides an exploration of what reasoning is and why it's important - it also show you how to develop children's reasoning skills in your classroom.
Reassessing Riemann's Paper: On The Number Of Primes Less Than A Given Magnitude (Springerbriefs In History Of Science And Technology Ser.)
by Walter DittrichIn this book, the author pays tribute to Bernhard Riemann (1826–1866), mathematician with revolutionary ideas, whose work on the theory of integration, the Fourier transform, the hypergeometric differential equation, etc. contributed immensely to mathematical physics. This book concentrates in particular on Riemann’s only work on prime numbers, including such then new ideas as analytical continuation in the complex plane and the product formula for entire functions. A detailed analysis of the zeros of the Riemann zeta function is presented. The impact of Riemann’s ideas on regularizing infinite values in field theory is also emphasized.
Reassessing Riemann's Paper: On the Number of Primes Less Than a Given Magnitude (SpringerBriefs in History of Science and Technology)
by Walter DittrichIn this book, the author pays tribute to Bernhard Riemann (1826-1866), a mathematician with revolutionary ideas, whose work on the theory of integration, the Fourier transform, the hypergeometric differential equation, etc. contributed immensely to mathematical physics. The text concentrates in particular on Riemann’s only work on prime numbers, including ideas – new at the time – such as analytical continuation into the complex plane and the product formula for entire functions. A detailed analysis of the zeros of the Riemann zeta-function is presented. The impact of Riemann’s ideas on regularizing infinite values in field theory is also emphasized. This revised and enhanced new edition contains three new chapters, two on the application of Riemann’s zeta-function regularization to obtain the partition function of a Bose (Fermi) oscillator and one on the zeta-function regularization in quantum electrodynamics. Appendix A2 has been re-written to make the calculations more transparent. A summary of Euler-Riemann formulae completes the book.
Rebuilding Housing Along the Mississippi Coast
by Julie Kim Paul Sorensen Adrian Overton Mark A. Bernstein Mark HansonIn October 2005, RAND researchers went to Mississippi to help the Governor's Commission on Recovery, Rebuilding, and Renewal and the Affordable Housing Subcommittee of the Infrastructure Issues Committee. They identified policy and implementation options that could help local communities address affordable-housing issues. They considered challenges in providing affordable housing and strategies for dealing with those challenges.
Rebuilding the Natural Environment, Grade 10: STEM Road Map for High School (STEM Road Map Curriculum Series)
by Carla C. Johnson Janet B. Walton Erin E. Peters-BurtonWhat if you could challenge your tenth graders to think about how innovation can make the world a better place for humans, while finding ways to sustain progress and conserve resources? With this volume in the STEM Road Map Curriculum Series, you can! Rebuilding the Natural Environment outlines a journey that will steer your students toward authentic problem solving while grounding them in integrated STEM disciplines. Like the other volumes in the series, this book is designed to meet the growing need to infuse real-world learning into K–12 classrooms. This interdisciplinary, four-lesson module uses project- and problem-based learning to help students connect their existing knowledge about energy production and its effects on the natural environment to create innovations in renewable sources of energy based on research evidence. Working in teams, students will design an innovative way to meet society’s energy needs and develop a pitch to market their innovation, focusing on how the innovation will optimize human experiences while being mindful of the natural environment. To support this goal, students will do the following: • Understand several forms of renewable, sustainable energy sources. • Apply their understanding of how alternators are used to generate electricity in lab experiments, as well as explain how tools such as windmills and dams are used to operate them. • Describe how electricity is generated in photovoltaic cells. • Calculate the amount of electricity consumed by several household items and consider this consumption when determining the average monthly energy consumption of households around the world in comparison to U.S. households. • Understand how fossil fuels have been used in the production of electricity and the impact they have had on the world’s economy, humans’ quality of life, and the earth. • Identify several hindrances to the creation of new energy sources as well as ideas to counter them. • List several factors that can be used to motivate people from all walks of life to use renewable and sustainable energies. • Create a fictional company that uses renewable energies. The STEM Road Map Curriculum Series is anchored in the Next Generation Science Standards, the Common Core State Standards, and the Framework for 21st Century Learning. In-depth and flexible, Rebuilding the Natural Environment can be used as a whole unit or in part to meet the needs of districts, schools, and teachers who are charting a course toward an integrated STEM approach.
Recapturing Space: New Middle-Range Theory in Spatial Demography
by Frank M. Howell Jeremy R. Porter Stephen A. MatthewsWith a unique focus on middle-range theory, this book details the application of spatial analysis to demographic research as a way of integrating and better understanding the different transitional components of the overall demographic transition. This book first details key concepts and measures in modern spatial demography and shows how they can be applied to middle-range theory to better understand people, places, communities and relationships throughout the world. Next, it shows middle-range theory in practice, from using spatial data as a proxy for social science statistics to examining the effect of "fracking" in Pennsylvania on the formation of new coalitions among environmental advocacy organizations. The book also traces future developments and offers some potential solutions to promoting and facilitating instruction in spatial demography. This volume is an ideal resource for advanced undergraduate and graduate students enrolled in courses involving spatial analyses in the social sciences, from sociology and political science to economics and educational research. In addition, scholars and others interested in the role that geographic context plays in relation to their research will find this book a helpful guide in further developing their work.
Recent Advancements in Computational Finance and Business Analytics: Proceedings of the International Conference on Computational Finance and Business Analytics (Learning and Analytics in Intelligent Systems #32)
by Rangan Gupta Francesco Bartolucci Vasilios N. Katsikis Srikanta PatnaikRecent Advancements of Computational Finance and Business Analytics provide a comprehensive overview of the cutting-edge advancements in this dynamic field. By embracing computational finance and business analytics, organizations can gain a competitive edge in an increasingly data-driven and complex business environment.This book has explored the latest developments and breakthroughs in this rapidly evolving domain, providing a comprehensive overview of the current state of computational finance and business analytics. It covers the following dimensions of this domains:Business AnalyticsFinancial AnalyticsHuman Resource AnalyticsMarketing Analytics
Recent Advancements in Computational Finance and Business Analytics: Proceedings of the 2nd International Conference on Computational Finance and Business Analytics – ICCFBA-2024 (Learning and Analytics in Intelligent Systems #42)
by Srikanta Patnaik Francesco Bartolucci Rangan Gupta Vasilios N. KatsikisThis book presents the latest breakthroughs and cutting-edge advancements within this rapidly evolving field. By providing computational finance and business analytics, organizations can secure a competitive advantage in today’s data-driven and cutting-edge business landscape. This book explores the most recent innovations and significant developments in both the domains of computational finance and business analytics, offering a thorough overview of the current landscape. It encompasses various dimensions including: Business Analytics Financial Analytics HR & Marketing Analytics By integrating the latest theoretical insights with practical applications, this book equips researchers, practitioners, and students with the knowledge and tools necessary to explore and progress in the ever-changing realm of computational finance and business analytics. As the present organizations confront the challenges and adapt the opportunities presented by the data revolution, this book serves as an essential guide, illuminating the transformative frontiers where computational finance and business analytics are redefining the realm of possibilities.
Recent Advancements in Graph Theory (Mathematical Engineering, Manufacturing, and Management Sciences)
by N. P. Shrimali and Nita H. ShahGraph Theory is a branch of discrete mathematics. It has many applications to many different areas of Science and Engineering. This book provides the most up-to-date research findings and applications in Graph Theory. This book focuses on the latest research in Graph Theory. It provides recent findings that are occurring in the field, offers insights on an international and transnational levels, identifies the gaps in the results, and includes forthcoming international studies and research, along with its applications in Networking, Computer Science, Chemistry, and Biological Sciences, etc. The book is written with researchers and post graduate students in mind.
Recent Advancements in Software Reliability Assurance (Advances in Mathematics and Engineering)
by Adarsh Anand Mangey RamThe aim of this book is to provide a platform to academicians, practitioners, and researchers to understand current and future trends in software reliability growth modeling. Emphasis will be on qualitative work relevant to the theme with particular importance given to mathematical modeling for software reliability and various methods and applications of multi attributed decision making in governing the software performance. Presents software quality and security models Offers reliability analysis, assurance techniques for software systems Covers methodologies, tools, and practical applications of software reliability modeling and testing resources Includes robust reliability design techniques, diagnostic, and decision support Discusses stochastic modelling for software systems
Recent Advances and Applications of Fuzzy Metric Fixed Point Theory
by Dhananjay Gopal Juan Martinez MorenoThis book not only presents essential material to understand fuzzy metric fixed point theory, but also enables the readers to appreciate the recent advancements made in this direction. It contains seven chapters on different topics in fuzzy metric fixed point theory. These chapters cover a good range of interesting topics such as con- vergence problems in fuzzy metrics, fixed figure problems, and applications of fuzzy metrics. The main focus is to unpack a number of diverse aspects of fuzzy metric fixed point theory and its applications in an understandable way so that it could help and motivate young graduates to explore new avenues of research to extend this flourishing area in different directions. The discussion on fixed figure problems and fuzzy contractive fixed point theorems and their different generalizations invites active researchers in this field to develop a new branch of fixed point theory. Features: Explore the latest research and developments in fuzzy metric fixed point theory. Describes applications of fuzzy metrics to colour image processing. Covers new topics on fuzzy fixed figure problems. Filled with examples and open problems. This book serves as a reference book for scientific investigators who want to analyze a simple and direct presentation of the fundamentals of the theory of fuzzy metric fixed point and its applications. It may also be used as a textbook for postgraduate and research students who try to derive future research scope in this area.
Recent Advances in Alexandrov Geometry (CIMAT Lectures in Mathematical Sciences)
by Gerardo Arizmendi Echegaray Luis Hernández-Lamoneda Rafael Herrera GuzmánThis volume is devoted to various aspects of Alexandrov Geometry for those wishing to get a detailed picture of the advances in the field. It contains enhanced versions of the lecture notes of the two mini-courses plus those of one research talk given at CIMAT.Peter Petersen’s part aims at presenting various rigidity results about Alexandrov spaces in a way that facilitates the understanding by a larger audience of geometers of some of the current research in the subject. They contain a brief overview of the fundamental aspects of the theory of Alexandrov spaces with lower curvature bounds, as well as the aforementioned rigidity results with complete proofs.The text from Fernando Galaz-García’s minicourse was completed in collaboration with Jesús Nuñez-Zimbrón. It presents an up-to-date and panoramic view of the topology and geometry of 3-dimensional Alexandrov spaces, including the classification of positively and non-negatively curved spaces and the geometrization theorem. They also present Lie group actions and their topological and equivariant classifications as well as a brief account of results on collapsing Alexandrov spaces.Jesús Nuñez-Zimbrón’s contribution surveys two recent developments in the understanding of the topological and geometric rigidity of singular spaces with curvature bounded below.
Recent Advances in Algebraic Geometry
by Christopher D. Hacon Mircea Mustata Mihnea PopaContemporary research in algebraic geometry is the focus of this collection, which presents articles on modern aspects of the subject. The list of topics covered is a roll-call of some of the most important and active themes in this thriving area of mathematics: the reader will find articles on birational geometry, vanishing theorems, complex geometry and Hodge theory, free resolutions and syzygies, derived categories, invariant theory, moduli spaces, and related topics, all written by leading experts. The articles, which have an expository flavour, present an overall picture of current research in algebraic geometry, making this book essential for researchers and graduate students. This volume is the outcome of the conference Recent Advances in Algebraic Geometry, held in Ann Arbor, Michigan, to honour Rob Lazarsfeld's many contributions to the subject on the occasion of his 60th birthday.
Recent Advances in Algorithmic Differentiation
by Andrea Walther Eric Phipps Jean Utke Paul Hovland Shaun ForthThe proceedings represent the state of knowledge in the area of algorithmic differentiation (AD). The 31 contributed papers presented at the AD2012 conference cover the application of AD to many areas in science and engineering as well as aspects of AD theory and its implementation in tools. For all papers the referees, selected from the program committee and the greater community, as well as the editors have emphasized accessibility of the presented ideas also to non-AD experts. In the AD tools arena new implementations are introduced covering, for example, Java and graphical modeling environments or join the set of existing tools for Fortran. New developments in AD algorithms target the efficiency of matrix-operation derivatives, detection and exploitation of sparsity, partial separability, the treatment of nonsmooth functions, and other high-level mathematical aspects of the numerical computations to be differentiated. Applications stem from the Earth sciences, nuclear engineering, fluid dynamics, and chemistry, to name just a few. In many cases the applications in a given area of science or engineering share characteristics that require specific approaches to enable AD capabilities or provide an opportunity for efficiency gains in the derivative computation. The description of these characteristics and of the techniques for successfully using AD should make the proceedings a valuable source of information for users of AD tools.