A comprehensive exploration of the mathematics behind the modeling and rendering of computer graphics scenes Mathematical Structures for Computer Graphics presents an accessible and intuitive approach to the mathematical ideas and techniques necessary for two- and three-dimensional computer graphics. Focusing on the significant mathematical results, the book establishes key algorithms used to build complex graphics scenes. Written for readers with various levels of mathematical background, the book develops a solid foundation for graphics techniques and fills in relevant graphics details often overlooked in the literature. Rather than use a rigid theorem/proof approach, the book provides a flexible discussion that moves from vector geometry through transformations, curve modeling, visibility, and lighting models. Mathematical Structures for Computer Graphics also includes: Numerous examples of two- and three-dimensional techniques along with numerical calculations Plenty of mathematical and programming exercises in each chapter, which are designed particularly for graphics tasks Additional details at the end of each chapter covering historical notes, further calculations, and connected concepts for readers who wish to delve deeper Unique coverage of topics such as calculations with homogeneous coordinates, computational geometry for polygons, use of barycentric coordinates, various descriptions for curves, and L-system techniques for recursive images Mathematical Structures for Computer Graphics is an excellent textbook for undergraduate courses in computer science, mathematics, and engineering, as well as an ideal reference for practicing engineers, researchers, and professionals in computer graphics fields. The book is also useful for those readers who wish to understand algorithms for producing their own interesting computer images.
A multidisciplinary approach that emphasizes learning by analyzing real-world data sets This book is the result of the authors' hands-on classroom experience and is tailored to reflect how students best learn to analyze linear relationships. The text begins with the introduction of four simple examples of actual data sets. These examples are developed and analyzed throughout the text, and more complicated examples of data sets are introduced along the way. Taking a multidisciplinary approach, the book traces the conclusion of the analyses of data sets taken from geology, biology, economics, psychology, education, sociology, and environmental science. As students learn to analyze the data sets, they master increasingly sophisticated linear modeling techniques, including: * Simple linear models * Multivariate models * Model building * Analysis of variance (ANOVA) * Analysis of covariance (ANCOVA) * Logistic regression * Total least squares The basics of statistical analysis are developed and emphasized, particularly in testing the assumptions and drawing inferences from linear models. Exercises are included at the end of each chapter to test students' skills before moving on to more advanced techniques and models. These exercises are marked to indicate whether calculus, linear algebra, or computer skills are needed. Unlike other texts in the field, the mathematics underlying the models is carefully explained and accessible to students who may not have any background in calculus or linear algebra. Most chapters include an optional final section on linear algebra for students interested in developing a deeper understanding. The many data sets that appear in the text are available on the book's Web site. The MINITAB(r) software program is used to illustrate many of the examples. For students unfamiliar with MINITAB(r), an appendix introduces the key features needed to study linear models. With its multidisciplinary approach and use of real-world data sets that bring the subject alive, this is an excellent introduction to linear models for students in any of the natural or social sciences.
The must-read summary of Peter Diamandis and Steven Kotler's book: "Bold: How to Go Big, Create Wealth and Impact the World". This complete summary of the ideas from Peter Diamandis and Steven Kotler's book "Bold" shows that nowadays anybody can get involved in the technology industry and make money from it; they just need to have a bold mindset. The authors explain that the key to success is to become an exponential entrpreneur; that is, to harness the growing power of exponential technologies most effectively. By using these new technologies, such as robots or nanotechnology, you can make a real difference to the world as well as reaping your own benefits. This summary tells you all you need to know about becoming an exponential entrepreneur and using new technology to your advantage. Added-value of this summary: • Save time • Understand key concepts • Develop your business knowledge To learn more, read "Bold" and start getting the most out of exponential technologies.
A comprehensive exploration of the mathematics behind the modeling and rendering of computer graphics scenes Mathematical Structures for Computer Graphics presents an accessible and intuitive approach to the mathematical ideas and techniques necessary for two- and three-dimensional computer graphics. Focusing on the significant mathematical results, the book establishes key algorithms used to build complex graphics scenes. Written for readers with various levels of mathematical background, the book develops a solid foundation for graphics techniques and fills in relevant graphics details often overlooked in the literature. Rather than use a rigid theorem/proof approach, the book provides a flexible discussion that moves from vector geometry through transformations, curve modeling, visibility, and lighting models. Mathematical Structures for Computer Graphics also includes: Numerous examples of two- and three-dimensional techniques along with numerical calculations Plenty of mathematical and programming exercises in each chapter, which are designed particularly for graphics tasks Additional details at the end of each chapter covering historical notes, further calculations, and connected concepts for readers who wish to delve deeper Unique coverage of topics such as calculations with homogeneous coordinates, computational geometry for polygons, use of barycentric coordinates, various descriptions for curves, and L-system techniques for recursive images Mathematical Structures for Computer Graphics is an excellent textbook for undergraduate courses in computer science, mathematics, and engineering, as well as an ideal reference for practicing engineers, researchers, and professionals in computer graphics fields. The book is also useful for those readers who wish to understand algorithms for producing their own interesting computer images.
A multidisciplinary approach that emphasizes learning by analyzing real-world data sets This book is the result of the authors' hands-on classroom experience and is tailored to reflect how students best learn to analyze linear relationships. The text begins with the introduction of four simple examples of actual data sets. These examples are developed and analyzed throughout the text, and more complicated examples of data sets are introduced along the way. Taking a multidisciplinary approach, the book traces the conclusion of the analyses of data sets taken from geology, biology, economics, psychology, education, sociology, and environmental science. As students learn to analyze the data sets, they master increasingly sophisticated linear modeling techniques, including: * Simple linear models * Multivariate models * Model building * Analysis of variance (ANOVA) * Analysis of covariance (ANCOVA) * Logistic regression * Total least squares The basics of statistical analysis are developed and emphasized, particularly in testing the assumptions and drawing inferences from linear models. Exercises are included at the end of each chapter to test students' skills before moving on to more advanced techniques and models. These exercises are marked to indicate whether calculus, linear algebra, or computer skills are needed. Unlike other texts in the field, the mathematics underlying the models is carefully explained and accessible to students who may not have any background in calculus or linear algebra. Most chapters include an optional final section on linear algebra for students interested in developing a deeper understanding. The many data sets that appear in the text are available on the book's Web site. The MINITAB(r) software program is used to illustrate many of the examples. For students unfamiliar with MINITAB(r), an appendix introduces the key features needed to study linear models. With its multidisciplinary approach and use of real-world data sets that bring the subject alive, this is an excellent introduction to linear models for students in any of the natural or social sciences.
Now published by Sage The new Twelfth Edition of Social Psychology by Saul Kassin, Steven Fein, and Hazel Rose Markus captures the excitement of this dynamic and responsive field in our ever-changing world. The authors highlight the most exciting and important foundational and contemporary research, while every chapter also uniquely investigates the influences of culture and social class. In this enthusiastic introduction to social psychology, students delve into their own passion drivers, from favorite sports teams to social media to their own political perspectives, dispelling misconceptions and understanding the scientific foundations that explain our daily interactions and social behaviors. This textbook shows students how social psychology— its theories, research methods, and basic findings—has never been more relevant or more important.
The only professional resource to focus exclusively on research methods in forensic psychology With specific advice on topics of particular importance to forensic specialists, Research Methods in Forensic Psychology presents state-of-the-discipline summaries of the issues that relate to psychology and law research. Edited by renowned experts in the field, this resource features contributions by leading scholars in forensic psychology and law, with discussion of relevant topics such as: Meta-analysis Jury decision making Internet-based data collection Legal research techniques for the social scientist Offender treatment Competence to stand trial Criminal profiling False confessions and interrogations Trial-related psycho-legal issues Accuracy of eyewitnesses and children Violence risk assessment This comprehensive guide is designed for a wide range of scholars and legal professionals, presenting a succinct overview of the field of psychology and law as viewed by some of the world's foremost experts.
This book provides original evidence arguing for dignity as an indicator of public health, by offering a scientific framework for measuring dignity and its social determinants. Hitlin and Andersson show that dignity can be efficiently measured by using simple survey items that ask individuals whether there is "dignity" in their life or in how they are treated by others. National survey data show that unhappiness, sadness, anger, and lower general health are far more common for those reporting undignified lives. These differences in reported dignity come from inequalities in social and economic resources and from experiences of disrespect, threat, or life stress. Social groups with less power generally report lower levels of dignity linked to these multifaceted resource and stress inequalities, which are examined throughout the book. Hitlin and Andersson show that dignity possesses universal value for health and well-being in America, providing a scientific basis for collective consensus and social inspiration.
Women Online focuses on the problems of investigating interdisciplinary topics in women's studies, working with controlled vocabularies and inconsistent indexing, and locating feminist scholarship. The authoritative contributors to the book not only analyze these problems in general terms but also suggest practical strategies for making online research more effective and productive. The sixteen chapters in this much-needed book are organized into three broad categories covering disciplines, such as humanities and social sciences; format of the material covered, such as non-bibliographic and cited reference databases; and specific topics, such as lesbian studies and women of color. Chapter authors employ a variety of useful methods to analyze issues of coverage and content. They compare the results of controlled vocabulary and free-text or full-text searching and make use of search examples, cited reference and multi-file searching, and bibliometric techniques, including analysis of recall, precision, overlap, relevancy, uniqueness, and trends in file growth. The Database Matrix provides an alphabetical listing of files discussed in the book and serves as a directory for online research in women's studies. Women Online will be useful to librarians, scholars, and students who search databases, as well as to producers who design and market them.
In this book Steven Vande Moortele offers a comprehensive account of operatic and concert overtures in continental Europe between 1815 and 1850. Discussing a broad range of works by German, French, and Italian composers, it is at once an investigation of the Romantic overture within the context of mid-nineteenth century musical culture and an analytical study that focuses on aspects of large-scale formal organization in the overture genre. While the book draws extensively upon the recent achievements of the 'new Formenlehre', it does not use the overture merely as a vehicle for a theory of romantic form, but rather takes an analytical approach that engages with individual works in their generic context.
For over three decades, indexing has become increasingly accepted by both institutional and individual investors. Index benchmarks and investment products that track them have been a driving force in the transformation of investment strategy from art to science. Yet investors’ understanding of the sophistication of this burgeoning field has lagged the growing use of index products. Active Index Investing is the definitive guide to how indexes are constructed, how index-based portfolios are managed, and how the world’s most sophisticated investors use index-based strategies to enhance performance, reduce costs and minimize the risks of investing. Active Index Investing provides a comprehensive overview of (1) the investment theories that are the foundation of index based investing, (2) best practices in benchmark construction, (3) the growing world of index-based investment vehicles, (4) cutting-edge index portfolio management techniq ues and (5) the myriad ways investors can and do capture the benefits of indexing. Active Index Investing has a unique format that captures the views and perspectives of over 40 of the investment industry’s leading experts and practitioners, while maintaining a holistic view of this complex subject matter. In addition to the Appendix and Glossary within the book, it features an E-ppendix, available at www.IndexUniverse.com
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