In GPU Pro5 Advanced Rendering Techniques, section editors Wolfgang Engel, Christopher Oat, Carsten Dachsbacher, Michal Valient, Wessam Bahnassi, and Marius Bjorge have once again assembled a high-quality collection of cutting-edge techniques for advanced graphics processing unit (GPU) programming.

Divided into six sections, the book covers rendering, lighting, effects in image space, mobile devices, 3D engine design, and compute. It explores rasterization of liquids, ray tracing of art assets that would otherwise be used in a rasterized engine, physically based area lights, volumetric light effects, screen-space grass, the usage of quaternions, and a quadtree implementation on the GPU. It also addresses the latest developments in deferred lighting on mobile devices, OpenCL optimizations for mobile devices, morph targets, and tiled deferred blending methods.

In color throughout, GPU Pro5 is the only book that incorporates contributions from more than 50 experts who cover the latest developments in graphics programming for games and movies. It presents ready-to-use ideas and procedures that can help solve many of your daily graphics programming challenges. Example programs with source code are provided on the book s CRC Press web page."

This text compiles research from a vibrant social simulation community of researchers who have developed unique and innovative approaches to social simulation.

Collecting the work of the foremost scientists in the field, Discrete-Event Modeling and Simulation: Theory and Applications presents the state of the art in modeling discrete-event systems using the discrete-event system specification (DEVS) approach. It introduces the latest advances, recent extensions of formal techniques, and real-world examples of various applications. The book covers many topics that pertain to several layers of the modeling and simulation architecture. It discusses DEVS model development support and the interaction of DEVS with other methodologies. It describes different forms of simulation supported by DEVS, the use of real-time DEVS simulation, the relationship between DEVS and graph transformation, the influence of DEVS variants on simulation performance, and interoperability and composability with emphasis on DEVS standardization. The text also examines extensions to DEVS, new formalisms, and abstractions of DEVS models as well as the theory and analysis behind real-world system identification and control. To support the generation and search of optimal models of a system, a framework is developed based on the system entity structure and its transformation to DEVS simulation models. In addition, the book explores numerous interesting examples that illustrate the use of DEVS to build successful applications, including optical network-on-chip, construction/building design, process control, workflow systems, and environmental models. A one-stop resource on advances in DEVS theory, applications, and methodology, this volume offers a sampling of the best research in the area, a broad picture of the DEVS landscape, and trend-setting applications enabled by the DEVS approach. It provides the basis for future research discoveries and encourages the development of new applications.

Mastering modelling, and in particular numerical models, is becoming a crucial and central question in modern computational mechanics. Various tools, able to quantify the quality of a model with regard to another one taken as the reference, have been derived. Applied to computational strategies, these tools lead to new computational methods which are called "adaptive." The present book is concerned with outlining the state of the art and the latest advances in both these important areas.

Papers are selected from a Workshop (Cachan 17-19 September 1997) which is the third of a series devoted to Error Estimators and Adaptivity in Computational Mechanics. The Cachan Workshop dealt with latest advances in adaptive computational methods in mechanics and their impacts on solving engineering problems. It was centered too on providing answers to simple questions such as: what is being used or can be used at present to solve engineering problems? What should be the state of art in the year 2000? What are the new questions involving error estimators and their applications?

Employing computer simulations for the study of the evolution of altruism has been popular since Axelrod's book "The Evolution of Cooperation". But have the myriads of simulation studies that followed in Axelrod's footsteps really increased our knowledge about the evolution of altruism or cooperation? This book examines in detail the working mechanisms of simulation based evolutionary explanations of altruism. It shows that the "theoretical insights" that can be derived from simulation studies are often quite arbitrary and of little use for the empirical research. In the final chapter of the book, therefore, a set of epistemological requirements for computer simulations is proposed and recommendations for the proper research design of simulation studies are made.

In the last decade parallel computing has been put forward as the only computational answer to the increasing computational needs arising from very large and complex fluid dynamic problems. Considerable efforts are being made to use parallel computers efficiently to solve several fluid dynamic problems originating in aerospace, climate modelling and environmental applications.

Parallel CFD Conferences are international and aim to increase discussion among researchers worldwide.

Topics covered in this particular book include typical CFD areas such as turbulence, Navier-Stokes and Euler solvers, reactive flows, with a good balance between both university and industrial applications. In addition, other applications making extensive use of CFD such as climate modelling and environmental applications are also included.

Anyone involved in the challenging field of Parallel Computational Fluid Dynamics will find this volume useful in their daily work.

Psychophysics is by definition mappings between events in the environment and levels of human sensory responses. In this text the methods of nonlinear dynamics, employing trajectories developed for simpler sensory modelling, are extended to classes of problems which lie at the interface between sensation and perception. A diversity of topics for which extensive empirical evidence exists are reformulated by writing their dynamics in terms of complex trajectories put into coupled lattices and into cascades of such lattices. Fundamental relationships between core processes of psychophysics in time and space, and recurrent quantitative or topological distortions of the physical world which arise in perception, are given a treatment which contrasts fundamentally with traditional linear equations in use since the 19th century.

This book brings together computer models and simulation approaches that allow the investigation of a wide range of innovation related issues, and hence will be of interest for academics and researchers from a variety of innovation related disciplines.' - Mercedes Bleda, Journal of Artificial Societies and Social SimulationChristopher Watts and Nigel Gilbert explore the generation, diffusion and impact of innovations, which can now be studied using computer simulations. Agent-based simulation models can be used to explain the innovation that emerges from interactions among complex, adaptive, diverse networks of firms, people, technologies, practices and resources. This book provides a critical review of recent advances in agent-based modeling and other forms of the simulation of innovation. Elements explored include: diffusion of innovations, social networks, organizational learning, science models, adopting and adapting, and technological evolution and innovation networks. Many of the models featured in the book can be downloaded from the book's accompanying website. Bringing together simulation models from several innovation-related fields, this book will prove a fascinating read for academics and researchers in a wide range of disciplines, including: innovation studies, evolutionary economics, complexity science, organization studies, social networks, and science and technology studies. Scholars and researchers in the areas of computer science, operational research and management science will also be interested in the uses of simulation models to improve the understanding of organization.

The first step in making your ideas a reality SketchUp offers a vast array of tools that help you get your building, woodworking, and design plans out of your head and into a real model. Even if you've never dabbled in the software, SketchUp All-in-One For Dummies makes it easy to get started as quickly as the ideas pop into your head! Providing real-world insight from top SketchUp insiders, these six-books-in-one teach you how to tackle the basics of the program and apply those skills to real-world projects. You'll discover the basics of modeling as they apply to either free or paid versions of SketchUp before diving into creating models to use for making objects, constructing buildings, or redesigning interiors. Navigate the SketchUp product mix Get familiar with the basics of modeling View and share your models Make your architecture, interior design, and woodworking dreams a reality You have tons of great ideas--and now you can harness this powerful software to bring them to life.

This book illustrates the current work of leading multilevel modeling (MLM) researchers from around the world.

The book's goal is to critically examine the real problems that occur when trying to use MLMs in applied research, such as power, experimental design, and model violations. This presentation of cutting-edge work and statistical innovations in multilevel modeling includes topics such as growth modeling, repeated measures analysis, nonlinear modeling, outlier detection, and meta analysis.

This volume will be beneficial for researchers with advanced statistical training and extensive experience in applying multilevel models, especially in the areas of education; clinical intervention; social, developmental and health psychology, and other behavioral sciences; or as a supplement for an introductory graduate-level course.

The construction enterprise is being transformed by visual modelling. Once principally used by researchers and in niche industries, tools such as 3D/4D CAD and virtual reality are now in widespread use in construction. This book is both a survey of the changes being made in practice and a detailed guide to future directions for research and development bringing together the work of leading practitioners and academics. A particular strength of the book is its many detailed case studies and examples, making it an excellent resource for practitioners, researchers, and students seeking to understand the details of how new tools and methods are applied in a business context. The 11 chapters address following topics: - Uses of 3D/4D CAD and its costs and benefits, - Applications of visual modelling at the work face, - Applications of visual modelling in the designer office, - Technical integration of visual modelling tools such as 3D/4D CAD and virtual reality.

This book illustrates the current work of leading multilevel modeling (MLM) researchers from around the world.

The book's goal is to critically examine the real problems that occur when trying to use MLMs in applied research, such as power, experimental design, and model violations. This presentation of cutting-edge work and statistical innovations in multilevel modeling includes topics such as growth modeling, repeated measures analysis, nonlinear modeling, outlier detection, and meta analysis.

This volume will be beneficial for researchers with advanced statistical training and extensive experience in applying multilevel models, especially in the areas of education; clinical intervention; social, developmental and health psychology, and other behavioral sciences; or as a supplement for an introductory graduate-level course.

This book is intended for practitioners and applied researchers in remote sensing applications and also for graduate students in the field. This reference provides a surface scattering model covering the entire frequency axis instead of only high- or low-frequency models. The text includes extensive model behaviours and case studies and demonstrates the effectiveness of combining the models and neural networks to classify and retrieve terrain and rough surface parameters.

"Examines classic algorithms, geometric diagrams, and mechanical principles for enhances visualization of statistical estimation procedures and mathematical concepts in physics, engineering, and computer programming."

This work describes the methods of dynamic system simulation from the ground up. It presents important techniques, the fundamentals of mathematical models, how to produce useful results, how to analyze and visualize data, and how to verify and validate models. There are step-by-step instructions for developing working simulations, and the author discuss determining when simulation is appropriate, managing the cost of simulation and communicating results.

"Fundamentals of Wearable Computers and Augmented Reality" presents a broad coverage of the technologies and interface design issues associated with wearable computers and augmented reality displays both rapidly developing fields in computer science, engineering, and human interface design. This book presents concepts related to the use and underlying technologies of augmented reality and wearable computer systems. There are many application areas for this technology, such as medicine, manufacturing, training, and recreation. Wearable computers will allow a much closer association of information with the user than is possible with traditional desktop computers.
This book addresses an important aspect of wearable computers and augmented reality, either from the conceptual or from an application framework. Given the wide coverage of topics on issues related to the display of computer-generated images in the environment, this book can be used as a text for computer science, computer engineering, and interface design courses.

Many types of engineering structures exhibit nonlinear behavior under real operating conditions. Sometimes the unpredicted nonlinear behavior of a system results in catastrophic failure. In civil engineering, grandstands at sporting events and concerts may be prone to nonlinear oscillations due to looseness of joints, friction, and crowd movements. In the aerospace industry, nonlinear motions may have serious implications for fatigue life. In the automotive industry, examples include brake sequel and undesirable engine mounting oscillations. Engineers of all types encounter nonlinear behavior in a system at some time in their working lives and should be able to recognize it.
Nonlinearity in Structural Dynamics: Detection, Identification and Modeling provides a background in techniques that can be applied to situations in which nonlinearity plays, or is suspected to play, a role in the dynamic structural behavior. Striking a good balance between theory and application, the book covers both analytical and experimental methods and describes their application to real structures. The authors include numerous examples of nonlinearity in real engineering systems. The book is essential reading for engineers and scientists in the fields of structural dynamics and nonlinearity as well as a useful supplement for graduate and senior undergraduate students in engineering courses.

The latest volume in this influential series brings together topical and authoritative contributions from leading international professionals involved in the use of games and simulations. With contributors offering examples drawn from a wide variety of countries including the US, the UK, the Netherlands, Australia and Russia, the book provides a global perspective on a key topic.

This volume contains the results of the Manchester Benchmarking exercise for railway vehicle dynamics simulation packages. Five of the main computer packages currently used for this purpose were examined in the exercise and the results are presented in the form of tables and graphs.

Rapid regeneration of city areas has placed the quality of urban design high on public and policy agendas worldwide. This work examines the achievement of quality in the urban environment, in a planning context. Tracing urban design from its roots, the authors draw on both historical and current practices to examine the key physical, political and economic forces at play and the social pressures and impacts brought about by both failures and achievements in urban design. This illustrated critique of towns and cities draws on examples from across Western Europe, South Africa and USA to examine both public and private sector development practices, controls and fiscal policies within a diverse range of localities. The authors indicate the need for a reinstitution of region-provincial approaches, for closer co-ordination bewteen sectors, and revised fiscal policies in planning and development in order to enhance the quality of urban social experience and environments.