The fundamental fact about our Constitution is that it is old -- the oldest written constitution in the world. The fundamental challenge for interpreters of the Constitution is how to read that old document over time. In Fidelity & Constraint, legal scholar Lawrence Lessig explains that one of the most basic approaches to interpreting the constitution is the process of translation. Indeed, some of the most significant shifts in constitutional doctrine are products of the evolution of the translation process over time. In every new era, judges understand their translations as instances of "interpretive fidelity," framed within each new temporal context. Yet, as Lessig also argues, there is a repeatedly occurring countermove that upends the process of translation. Throughout American history, there has been a second fidelity in addition to interpretive fidelity: what Lessig calls "fidelity to role." In each of the cycles of translation that he describes, the role of the judge -- the ultimate translator -- has evolved too. Old ways of interpreting the text now become illegitimate because they do not match up with the judge's perceived role. And when that conflict occurs, the practice of judges within our tradition has been to follow the guidance of a fidelity to role. Ultimately, Lessig not only shows us how important the concept of translation is to constitutional interpretation, but also exposes the institutional limits on this practice. The first work of both constitutional and foundational theory by one of America's leading legal minds, Fidelity & Constraint maps strategies that both help judges understand the fundamental conflict at the heart of interpretation whenever it arises and work around the limits it inevitably creates.

Preface -- Foreword -- Part I: Generation -- 1. Introduction -- 2. Mesh Simplification -- 3. Error Metrics -- Part II: Application -- 4. Runtime Frameworks -- 5. Catalog of Useful Algorithms -- 6. Gaming Optimizations -- 7. Terrain Level of Detail -- Part III: Advanced Issues -- 8. Perceptual Issues -- 9. Measuring Visual Fidelity -- 10. Temporal LOD -- Glossary -- BibliographyMesh simplification -- Simplification error metrics -- Run-time frameworks -- A catalog of useful algorithms -- Gaming optimizations -- Terrain level of detail -- Perceptual issues -- Measuring visual fidelity -- Temporal detail.

Image Restoration: Fundamentals and Advances responds to the need to update most existing references on the subject, many of which were published decades ago. Providing a broad overview of image restoration, this book explores breakthroughs in related algorithm development and their role in supporting real-world applications associated with various scientific and engineering fields. These include astronomical imaging, photo editing, and medical imaging, to name just a few. The book examines how such advances can also lead to novel insights into the fundamental properties of image sources. Addressing the many advances in imaging, computing, and communications technologies, this reference strikes just the right balance of coverage between core fundamental principles and the latest developments in this area. Its content was designed based on the idea that the reproducibility of published works on algorithms makes it easier for researchers to build on each other’s work, which often benefits the vitality of the technical community as a whole. For that reason, this book is as experimentally reproducible as possible. Topics covered include: Image denoising and deblurring Different image restoration methods and recent advances such as nonlocality and sparsity Blind restoration under space-varying blur Super-resolution restoration Learning-based methods Multi-spectral and color image restoration New possibilities using hybrid imaging systems Many existing references are scattered throughout the literature, and there is a significant gap between the cutting edge in image restoration and what we can learn from standard image processing textbooks. To fill that need but avoid a rehash of the many fine existing books on this subject, this reference focuses on algorithms rather than theories or applications. Giving readers access to a large amount of downloadable source code, the book illustrates fundamental techniques, key ideas developed over the years, and the state of the art in image restoration. It is a valuable resource for readers at all levels of understanding.

First Published in 2000. Routledge is an imprint of Taylor & Francis, an informa company.

This book presents papers surrounding the extensive discussions that took place from the ‘Variational Analysis and Aerospace Engineering’ workshop held at the Ettore Majorana Foundation and Centre for Scientific Culture in 2015. Contributions to this volume focus on advanced mathematical methods in aerospace engineering and industrial engineering such as computational fluid dynamics methods, optimization methods in aerodynamics, optimum controls, dynamic systems, the theory of structures, space missions, flight mechanics, control theory, algebraic geometry for CAD applications, and variational methods and applications. Advanced graduate students, researchers, and professionals in mathematics and engineering will find this volume useful as it illustrates current collaborative research projects in applied mathematics and aerospace engineering.

No part of philosophy is as disconnected from its history as is epistemology. After Certainty offers a reconstruction of that history, understood as a series of changing expectations about the cognitive ideal that beings such as us might hope to achieve in a world such as this. The story begins with Aristotle and then looks at how his epistemic program was developed through later antiquity and into the Middle Ages, before being dramatically reformulated in the seventeenth century. In watching these debates unfold over the centuries, one sees why epistemology has traditionally been embedded within a much larger sphere of concerns about human nature and the reality of the world we live in. It ultimately becomes clear why epistemology today has become a much narrower and specialized field, concerned with the conditions under which it is true to say, that someone knows something. Based on a series of lectures given at Oxford University, Robert Pasnau's book ranges widely over the history of philosophy, and examines in some detail the rise of science as an autonomous discipline. Ultimately Pasnau argues that we may have no good reasons to suppose ourselves capable of achieving even the most minimal standards for knowledge, and the final chapter concludes with a discussion of faith and hope.

Hyperspectral Satellites and System Design is the first book on this subject. It provides a systematic analysis and detailed design of the entire development process of hyperspectral satellites. Derived from the author’s 25-year firsthand experience as a technical lead of space missions at the Canadian Space Agency, the book offers engineers, scientists, and decision-makers detailed knowledge and guidelines on hyperspectral satellite system design, trade-offs, performance modeling and simulation, optimization from component to system level, subsystem design, and implementation strategies. This information will help reduce the risk, shorten the development period, and lower the cost of hyperspectral satellite missions. This book is a must-have reference for professionals in developing hyperspectral satellites and data applications. It is also an excellent introductory book for early practitioners and students who want to learn more about hyperspectral satellites and their applications.