Methods of Nonlinear Analysis

In Rappelling you'll find everything you need to know about descending a rope, from the most basic to advanced techniques, including knots, rigging strategies, rappel devices, and more. Included is a comprehensive discussion of ropes, slings, and all the hardware used in rappelling. Rappelling techniques for climbing are covered in detail, including multi-pitch rappelling methods and rope management. Single rope fixed line rappelling techniques used in caving, canyoneering, and for industrial applications are also discussed, along with improvised rope ascending techniques ("prusiking") and ascending a fixed rope with mechanical ascenders ("jumaring"). Rappelling accident analysis and prevention is also included, along with a section on rappel back-ups and safety checks.Inside you'll find information on:Ropes Rappel devices Slings and webbing Knots and hitches Rigging rappel anchors Rappelling methods Rope retrieval techniques Rappelling accident analysis Rappel safety back-ups Working

Knowledge Engineering for Innovation and Sustainability is an interdisciplinary examination, not only of knowledge engineering, but also innovation, allowing environmental scientists to gain a better understanding of technological solutions and innovative methods. It is organized in a methodical way, first by defining sustainability and innovation, then by laying out a conceptual framework. The book goes on to explore causality and systems thinking for examining a particular phenomenon, and then presents processes for analysis and design. Finally, it lays out the narrative of sustainability as well as what needs to be done to ensure the future of sustainability. By applying key concepts of innovation and knowledge engineering to sustainability problems, Knowledge Engineering for Innovation and Sustainability provides a structured approach to putting theory into practice for sustainable development.

Road Traffic Modelling and Management: Using Statistical Monitoring and Deep Learning provides a framework for understanding and enhancing road traffic monitoring and management. It examines both the commonly used traffic analysis methodologies as well the emerging ones that use deep learning methods. The book also shows how to understand statistical models and machine learning algorithms, and how to apply them to traffic modelling, estimation, forecasting and traffic congestion monitoring. Providing both a theoretical framework along with practical technical solutions, Road Traffic Modelling and Management: Using Statistical Monitoring and Deep Learning is for researchers and practitioners who want to improve the performance of intelligent transportation systems.

The Cambridge Companion to Narrative provides a unique and valuable overview of current approaches to narrative study. An international team of experts explores ideas of storytelling and methods of narrative analysis as they have emerged across diverse traditions of inquiry and in connection with a variety of media, from film and television, to storytelling in the 'real-life' contexts of face-to-face interaction, to literary fiction. Each chapter presents a survey of scholarly approaches to topics such as character, dialogue, genre or language, shows how those approaches can be brought to bear on a relatively well-known illustrative example, and indicates directions for further research. Featuring a chapter reviewing definitions of narrative, a glossary of key terms and a comprehensive index, this is an essential resource for both students and scholars in many fields, including language and literature, composition and rhetoric, creative writing, jurisprudence, communication and media s

Each generation has its own master composers, authors, writers. Names and faces come and go in that virtual Pantheon; and many faces return with new aspects. Alexander Scriabin was a cause of controversy during his lifetime and directly after his legend-inducing sudden, early death. Unlike that of many figures from pre-revolutionary Russia, his reputation survived the social cataclysm; the breadth of interpretation in Soviet criticism alone, from straightforward heroic mythmaking to competing methods of technical analysis, bears witness to an artistic personality far beyond the "elf" celebrated by his contemporary, the poet Balmont. But does he still measure up to the other pole of Balmont's dual appellation, the "Titan"? No composer has suffered more from fixed ideas than Scriabin. Was he mad? What was his attitude towards women, towards sex? What music (if any) did he admire? This last rephrases Stravinsky's rhetorical question about Scriabin's roots. Here, an international team of l

This bestselling, reader-friendly textbook provides readers with comprehensive guidance on the why and how of systematic instruction (SI), a highly effective, evidence-based teaching approach rooted in applied behavior analysis (ABA). The second edition includes updated research to expand the evidence base for SI, fully revised chapters with a wealth of practical recommendations, detailed sample lesson plans, and robust online faculty materials, including test banks and PowerPoints. Systematic Instruction can be used as a stand-alone text for graduate and undergraduate teaching methods courses; supplemental text to larger, more comprehensive books on severe disabilities; and as a practical guide for in-service special educators.

Asset Pricing Theory is an advanced textbook for doctoral students and researchers that offers a modern introduction to the theoretical and methodological foundations of competitive asset pricing. Costis Skiadas develops in depth the fundamentals of arbitrage pricing, mean-variance analysis, equilibrium pricing, and optimal consumption/portfolio choice in discrete settings, but with emphasis on geometric and martingale methods that facilitate an effortless transition to the more advanced continuous-time theory.Among the book's many innovations are its use of recursive utility as the benchmark representation of dynamic preferences, and an associated theory of equilibrium pricing and optimal portfolio choice that goes beyond the existing literature.Asset Pricing Theory is complete with extensive exercises at the end of every chapter and comprehensive mathematical appendixes, making this book a self-contained resource for graduate students and academic researchers, as well as mathematical