Wolfgang Engel's GPU Pro 360 Guide to GPGPU gathers all the cutting-edge information from his previous seven GPU Pro volumes into a convenient single source anthology that covers general purpose GPU. This volume is complete with 19 articles by leading programmers that focus on the techniques that go beyond the normal pixel and triangle scope of GPUs and take advantage of the parallelism of modern graphics processors to accomplish such tasks. GPU Pro 360 Guide to GPGPU is comprised of ready-to-use ideas and efficient procedures that can help solve many computer graphics programming challenges that may arise. Key Features: Presents tips & tricks on real-time rendering of special effects and visualization data on common consumer software platforms such as PCs, video consoles, mobile devices Covers specific challenges involved in creating games on various platforms Explores the latest developments in rapidly evolving field of real-time rendering Takes practical approach that helps graphics programmers solve their daily challenges

Filled with illustrated, step-by-step examples, this hands-on TAB guide shows you how to use SketchUp to make a digital model and how to use a personal machine, service bureau, or community Maker Space to fabricate it. 3D Printing and CNC Fabrication with SketchUp gives you the practical knowledge needed to model and fabricate your own creations. You'll learn how to use SketchUp to create models both for additive (3D printing) and subtractive (CNC) fabrication. This practical resource will help you to very quickly master the skills needed to create, troubleshoot, and produce professional products. Step-by-step tutorials show how to use SketchUp Make and Pro through a variety of compelling examples Discussion of fabrication suitability is woven throughout the whole digital modeling processDescribes how to use third-party tools that analyze the finished software model for printing suitabilityProvides instructions for printing the model on a personal machine, through a service bureau, or at a community Maker Space

Get up and running with AutoCAD using Gindis' combination of step-by-step instruction, examples and insightful explanations. The emphasis from the beginning is on core concepts and practical application of AutoCAD in engineering, architecture, and design. Equally useful in instructor-led classroom training, self-study, or as a professional reference, the book is written with the user in mind by a long-time AutoCAD professional and instructor based on what works in the industry and the classroom.

Nowadays 3D Geoinformation is needed for many planning and analysis tasks. For example, 3D city and infrastructure models are paving the way for complex environmental and noise analyzes. 3D geological sub-surface models are needed for reservoir exploration in the oil-, gas-, and geothermal industry. Thus 3D Geoinformation brings together researchers and practitioners from different fields such as the geo-sciences, civil engineering, 3D city modeling, 3D geological and geophysical modeling, and, last but not least, computer science. The diverse challenges of 3D Geoinformation Science concern new approaches and the development of standards for above- and under-ground 3D modeling, efficient 3D data management, visualization and analysis. Finally, the integration of different 3D approaches and data models is seen as one of the most important challenges to be solved.

Grid computing systems utilize the heterogeneous networked resources, such as computation, information, database, storage, bandwidth, etc., through the Internet. The systems can operate in predefined and organized ways or form the collected resource systems through self-organizing and decentralized ways. Even with the various types of abundant resources in the Internet, the resources that can be organized and operated in the presence of multiple resource owners with the uncertainty of resource availability and quality are scarce. This volume contains refereed and invited papers presented at the 3rd International Workshop on Grid Economics and Business Models held on 16 May 2006 at the Singapore Management University, in conjunction with GridAsia 2006. It includes contributions by researchers and practitioners from multiple disciplines that discuss the economy of the systems concerned, with focus on the operational and deployment issues of Grid Economy.

Alan Turing was one of the most important and influential thinkers of the 20th century. This volume makes his key writings available to a non-specialist readership for the first time. They make fascinating reading both in their own right and for their historic significance: contemporary computational theory, cognitive science, and artificial intelligence life all spring from this ground-breaking work.

A metamodel approximates the behavior of a more complex model. A common and superficially attractive way to develop a metamodel is to generate large-model data and use off-the-shelf statistical methods without attempting to understand the model's internal workings. This report describes research illuminating why it can be important to improve the quality of metamodels by using even modest phenomenological knowledge to help structure them. The work helps to understand multiresolution, multiperspective modeling.

Population Dynamics: An Introduction to Computer Simulations is a practical-based guide that teaches the student how to apply and modify the classical mathematical models of population dynamics.  Assuming little in the way of advanced mathematical skills, the models used within population ecology and conservation biology are introduced through the use of simple computer simulations.  Exercises are presented in as simple form as possible, enabling the student to focus on biology rather than mathematical procedures.  New techniques and shortcuts are introduced gradually with commands carefully explained and defined in an extensive glossary.

Key features:

• An introduction to population dynamics by means of computer simulations.
• Exercises based on MATLAB where no previous experience is required.
• Prepares students for programming and analyzing their own models of population change.
• Designed to accompany an undergraduate course in ecology, population biology and conservation.

This textbok deals with modelling, analysis, and control of dynamical systems. Its objective is to familiarize students with the basics of dynamical system theory while equipping them with the tools needed for control system design. The emphasis is on design in order to show how dynamical system theory fits into practical applications. The broad scope of this book allows it to demonstrate the multidisciplinary role of dynamics and control. In particular, it presents neural networks, fuzzy systems, and genetic algorithms, and provides a concise introducton to chaotic systems. Systems and Control covers classical methods as well as the techniques of modern control engineering such as fuzzy logic, neural networks, and genetic algorithms. No special background is necessary to use this text beyond basic differential equations and elements of linear algebra. A free solutions manual is avaialbe for adopting lecturers.

Essential skills for first-time programmers! This easy-to-use book explains the fundamentals of UML. Youll learn to read, draw, and use this visual modeling language to create clear and effective blueprints for software development projects. The modular approach of this series--including drills, sample projects, and mastery checks--makes it easy to learn to use this powerful programming language at your own pace.

Including new developments and publications which have appeared since the publication of the first edition in 1995, this second edition:
*gives a comprehensive introductory account of event history modeling techniques and their use in applied research in economics and the social sciences;
*demonstrates that event history modeling is a major step forward in causal analysis. To do so the authors show that event history models employ the time-path of changes in states and relate changes in causal variables in the past to changes in discrete outcomes in the future; and
*introduces the reader to the computer program Transition Data Analysis (TDA). This software estimates the sort of models most frequently used with longitudinal data, in particular, discrete-time and continuous-time event history data.
"Techniques of Event History Modeling" can serve as a student textbook in the fields of statistics, economics, the social sciences, psychology, and the political sciences. It can also be used as a reference for scientists in all fields of research.

This book offers an up-to-date coverage of the basic principles and of the tools of Bayesian inference in econometrics. Bayesian inference is a branch of statistics that integrates explicitly both data and prior (possibly subjective) information in model building , estimation and evaluation. The book then shows how to use Bayesian methods in a range of models especially suited to the analysis of macroeconomic and financial time series.

High-temperature materials is a fast-moving research area with numerous practical applications. Materials that can withstand extremely high temperatures and extreme environments are generating considerable attention worldwide; however, designing materials that have low densities, elevated melting temperatures, oxidation resistance, creep resistance, and intrinsic toughness encompass some of the most challenging problems in materials science.
The current search for high-temperature materials is largely based on traditional, trial-and-error experimental methods which are costly and time-consuming. An effective way to accelerate research in this field is to use recent advances in materials simulations and high performance computing and communications (HPCC) to guide experiments. This synergy between experiment and advanced materials modeling will significantly enhance the synthesis of novel high-temperature materials.
This volume collects recent work from experimental and computational scientists on high-temperature materials and emphasizes the potential for collaboration. It features state-of-the-art materials modeling and recent experimental developments in high-temperature materials. Topics include fundamental phenomena and properties; measurements and modeling of interfacial phenomena, stresses, growth of defects, strain, and fracture; and electronic structure and molecular dynamics.

This book introduces and the new computer-based research methods for studying and modeling complex social phenomena. It is the first coherent collection that surveys the impact that computer-based methods have had on the social and behavioural sciences and illustrates the potential for future research. The methods are presented in an accessible manner and do not assume any background in computer science. The authors introduce each chapter and explain how computers can help to study social processes and each method is described in relation to a substantive issue to show how it can contribute to our understanding of complex problems. The themes covered include computer simulation, neural and social networks and the visualization of complex network data.

This book presents a process for problem resolution, policy crafting, and decision making based on the use of modeling and simulation. Detailed descriptions of the methods by which Visual SLAM and AweSim, version 3, support this process are presented. The text is organized into four parts: Introduction to Simulation, Visual SLAM Network Modeling and AweSim, Simulation Analysis, and Visual SLAM Discrete, Continuous and Combined Modeling.

Why model computationally? Because these methods allow researchers to combine the rich detail of qualitative research with the rigor of quantitative and formal research, as well as to represent complex structures and processes within a theoretical model. The authors treat computational methods, including dynamic simulation (Monte Carlo methods), knowledge-based models (semantic networks, frame systems, and rule-based systems), and machine learning (connectionism, rule induction, and genetic algorithms), as a single broad-based class of research tools and develop a framework for incorporating them within established traditions of social science research. They provide a concise description of each method and a variety of social science illustrations including four detailed examples. Common to most of these methods is a straightforward underlying approach: simulate the theory by running the program. Computational Modeling concludes with a discussion of ways to validate computational models.

Written by leading experts from around the world, Monte Carlo and Molecular Dynamics Simulations in Polymer Science comprehensively reviews the latest simulation techniques for macromolecular materials. Focusing in particular on numerous new techniques, the book offers authoritative introductions to solutions of neutral polymers and polyelectrolytes; dynamics of polymer melts, rubbers and gels, and glassy materials; thermodynamics of polymer mixing and mesophase formation, and polymers confined at interfaces and grafted to walls. Throughout, contributors offer practical advice on how to overcome the unique challenges posed by the large size and slow relaxation of polymer coils. Students and researchers in polymer chemistry, polymer physics, chemical engineering, and materials and computational science will all benefit from the cogent, step-by-step introductions contained in this important new book.

Information modeling technology - the open representation of information for database and other computing applications - has grown significantly in recent years as the need for universal systems of information coding has steadily increased. EXPRESS is a particularly successful ISO International Standard language family for object-flavored information modeling. This cogent introduction to EXPRESS provides numerous, detailed examples of the language family's applicability to a diverse range of endeavors, including mechanical engineering, petroleum exploration, stock exchange asset management, and the human genome project. The book also examines the history, practicalities, and implications of information modeling in general, and considers the vagaries of normal language that necessitate precise communication methods. This first-ever guide to information modeling and EXPRESS offers invaluable advice based on years of practical experience. It will be the introduction that students as well as information and data modeling professionals have been waiting for.

Bringing concrete examples from industry to light, this book explains how to use Blender to create visual effects for video/film production. It supplies readers with a practical way to learn how to use Blender's tools across a wide range of scenarios in video/film production, including setting up cameras on a stage, lighting, and other production processes. Maintaining a focus on composition, the book not only explains how to use the most common tools, such as tracking, rendering, and compositing, but also explains how to deal with software limitations and sort out problems. Since the best way to learn something is with a practical example, this book follows one of the author's own projects, starting with how to prepare the elements that will be needed later on. The example illustrates how to use Blender tools and features for scene tracking, setup, rendering, masking, and other post-production functions-from start to finish in a professional workflow. The book examines all the compositing nodes that can be used in Blender. It details time-saving tips, features such as the motion tracker, and rendering techniques so readers will have enough information to accomplish the most common tasks encountered in the creation of a professional visual effects composition. By following the example project presented in the book, you will gain the practical understanding required to use Blender's tools in the most common scenarios in video/film production. You will also gain industry insights into the limitations of the software and how to sort out the problematic scenarios that may come up through the various stages of your project.

Create Genuine Visual Realism in Computer Graphics Digital Representations of the Real World: How to Capture, Model, and Render Visual Reality explains how to portray visual worlds with a high degree of realism using the latest video acquisition technology, computer graphics methods, and computer vision algorithms. It explores the integration of new capture modalities, reconstruction approaches, and visual perception into the computer graphics pipeline. Understand the Entire Pipeline from Acquisition, Reconstruction, and Modeling to Realistic Rendering and Applications The book covers sensors for capturing 3D scenes, including regular cameras, wide-angle omnidirectional cameras, active range scanners, and plenoptic (multi-viewpoint) cameras, as well as fundamental algorithms for processing the imagery, such as stereo correspondence and 3D structure and motion recovery. It describes 3D modeling techniques, from generic object models (such as 3D meshes) to more domain-specific models (such as human shape and motion models). The book also discusses how techniques, including image- and video-based rendering, meet speed and realism requirements. Overcome Challenges in Your Own Research Experiments This book is both an accessible introduction to the emerging research of real-world visual computing and a practical guide that shows you how to start implementing frequently encountered methods.

Unity brings you ever closer to the "author once, deploy anywhere" dream. With its multiplatform capabilities, you can target desktop, web, mobile devices, and consoles using a single development engine. Little wonder that Unity has quickly become the #1 game engine out there. Mastering Unity is absolutely essential in an increasingly competitive games market where agility is expected, yet until now practical tutorials were nearly impossible to find. Creating Games with Unity and Maya gives you with an end-to-end solution for Unity game development with Maya. Written by a twelve-year veteran of the 3D animation and games industry and professor of 3D animation, this book takes you step-by-step through the process of developing an entire game from scratch-including coding, art, production, and deployment. This accessible guide provides a "non-programmer" entry point to the world of game creation. Aspiring developers with little or no coding experience will learn character development in Maya, scripts, GUI interface, and first- and third-person interactions.

This book considers evolution at different scales: sequences, genes, gene families, organelles, genomes and species. The focus is on the mathematical and computational tools and concepts, which form an essential basis of evolutionary studies, indicate their limitations, and give them orientation. Recent years have witnessed rapid progress in the mathematics of evolution and phylogeny, with models and methods becoming more realistic, powerful, and complex.
Aimed at graduates and researchers in phylogenetics, mathematicians, computer scientists and biologists, and including chapters by leading scientists: A. Bergeron, D. Bertrand, D. Bryant, R. Desper, O. Elemento, N. El-Mabrouk, N. Galtier, O. Gascuel, M. Hendy, S. Holmes, K. Huber, A. Meade, J. Mixtacki, B. Moret, E. Mossel, V. Moulton, M. Pagel, M.-A. Poursat, D. Sankoff, M. Steel, J. Stoye, J. Tang, L.-S. Wang, T. Warnow, Z. Yang, this book of contributed chapters explains the basis and covers the recent results in this highly topical area.

A collection of 100 conference papers divided into five sections: computational advances and multiscale modelling; constitutive modelling; modelling in multiphysics phenomena and time effects; modelling of structural performance; and modelling of seismic and cyclic response.

Simulation Systems expolres a wide spectrum of topics including simulation software, logic simulation, query-driven simulation, multi-computer simulation and manufacturing simulation. Although such papers are presented in Journals and conference proceedings it is difficult to find a single source where the foremost papers are presented. Contributions in Simulation Systms are freom leading researchers and practioners which explore a wide spectrum of topics. The chapters include topics such as presentation of SIMULA/OBJECTR, which is a query driven simulation support environment and a method of translating automatically digital logic equations so that they may be simulated using VHDL. This is followed by simulation techniques for deterministic and statistical circuit design optimization. A mathematical model of a magnetic resonance imaging system is simulated so that one can better understand the imaging system.

Environmental science combined with computer technology. One click on a mouse and information flows into your PC from up to 10,000 miles away. When you receive this information you can ferret through the data and use it in any number of computer programs. The result: solutions to plant design problems that affect the health and well being of people around the globe. What does that mean to you, the environmental professional, scientist, or engineer?
Computer Simulated Plant Design for Waste Minimization/Pollution Prevention builds on the concepts introduced in Stan Bumble's Computer Generated Physical Properties, the first volume of the Computer Modeling for Environmental Management series. Bumble discusses using computer simulation programs to solve problems in plant design before they occur. He covers design issues for stationary and non-stationary sources of pollution, global warming, troposcopic ozone, and stratospheric ozone.
With Computer Simulated Plant Design for Waste Minimization/Pollution Prevention you will understand how to use computer technology to design plants that generate little or no pollution. Even better, you can use the information generated by computer simulation for technical data in proposals, presentations and as the basis for making policy decisions.