Now you can make exciting digital movies using this easy-to-use and information-packed resource. Covering all editing basics, as well as serious film-making techniques, you will be able to successfully apply visual effects and control sound with pinpoint accuracy-- and deliver digital stories you never thought possible.

The role of simulation modeling in understanding dynamic processes is now extending beyond research and university curricula to pre-college education. Computer modeling offers the promise of transforming teaching of many subjects, notably science, and is enhanced by the adoption of new standards for science education, the increasing access to scientific information through computer networks, and the availability of powerful, user-friendly modeling software. This book and its accompanying software will bring the tools and excitement of modeling to pre-college teachers, to researchers involved in curriculum development, and to software developers interested in the pre-college market.

This text, based on a course taught by Randall O'Reilly and Yuko Munakata over the past several years, provides an in-depth introduction to the main ideas in the computational cognitive neuroscience. The goal of computational cognitive neuroscience is to understand how the brain embodies the mind by using biologically based computational models comprising networks of neuronlike units. This text, based on a course taught by Randall O'Reilly and Yuko Munakata over the past several years, provides an in-depth introduction to the main ideas in the field. The neural units in the simulations use equations based directly on the ion channels that govern the behavior of real neurons, and the neural networks incorporate anatomical and physiological properties of the neocortex. Thus the text provides the student with knowledge of the basic biology of the brain as well as the computational skills needed to simulate large-scale cognitive phenomena. The text consists of two parts. The first part covers basic neural computation mechanisms: individual neurons, neural networks, and learning mechanisms. The second part covers large-scale brain area organization and cognitive phenomena: perception and attention, memory, language, and higher-level cognition. The second part is relatively self-contained and can be used separately for mechanistically oriented cognitive neuroscience courses. Integrated throughout the text are more than forty different simulation models, many of them full-scale research-grade models, with friendly interfaces and accompanying exercises. The simulation software (PDP++, available for all major platforms) and simulations can be downloaded free of charge from the Web. Exercise solutions are available, and the text includes full information on the software.

This isn't a book about the Object Data Standard; it's the complete,
fully authoritative version of the standard itself, presented by the
researchers who developed it. This book provides all the details
comprising ODMG 3.0, making the latest version of the specification
the most mature and most flexible yet.

When it comes to storing objects in databases, ODMG 3.0 is a
standard with which you need to be familiar-whether you design,
develop, or implement object database products, object-to-relational
database mapping products, or applications based on these products.
* Presents authoritative, completely up-to-date information not available anywhere else.
* Documents all the changes found in version 3.0, including enhancements to the Java language binding, greater semantic precision, and various improvements and corrections throughout the standard.
* Pays special attention to the broadening of the standard to support recent developments in object-to-database mappings (ODMs) that allow objects to be stored in relational databases.
* Provides a way to write Java, C++, or Smalltalk code that works with the entire spectrum of database products, while taking full advantage of your organization's preferred platform.
* Continues to cover everything retained from version 2.0, including key details relating to C++, Smalltalk, and Object Query Language.
* Establishes a level of stability for this increasingly important specification.

The increased computational power and software tools available to engineers have increased the use and dependence on modeling and computer simulation throughout the design process. These tools have given engineers the capability of designing highly complex systems and computer architectures that were previously unthinkable. Every complex design project, from integrated circuits, to aerospace vehicles, to industrial manufacturing processes requires these new methods. This book fulfills the essential need of system and control engineers at all levels in understanding modeling and simulation. This book, written as a true text/reference has become a standard sr./graduate level course in all EE departments worldwide and all professionals in this area are required to update their skills.
The book provides a rigorous mathematical foundation for modeling and computer simulation. It provides a comprehensive framework for modeling and simulation integrating the various simulation approaches. It covers model formulation, simulation model execution, and the model building process with its key activities model abstraction and model simplification, as well as the organization of model libraries. Emphasis of the book is in particular in integrating discrete event and continuous modeling approaches as well as a new approach for discrete event simulation of continuous processes. The book also discusses simulation execution on parallel and distributed machines and concepts for simulation model realization based on the High Level Architecture (HLA) standard of the Department of Defense.

* Presents a working foundation necessary for compliance with High Level Architecture (HLA) standards
* Provides a comprehensive framework for continuous and discrete event modeling and simulation
* Explores the mathematical foundation of simulation modeling
* Discusses system morphisms for model abstraction and simplification
* Presents a new approach to discrete event simulation of continuous processes
* Includes parallel and distributed simulation of discrete event models
* Presentation of a concept to achieve simulator interoperability in the form of the DEVS-Bus

Since its founding in 1989 by Terrence Sejnowski, Neural Computation has become the leading journal in the field. Foundations of Neural Computationcollects, by topic, the most significant papers that have appeared in the journal over the past nine years.This volume of Foundations of Neural Computation, on unsupervised learning algorithms, focuses on neural network learning algorithms that do not require an explicit teacher. The goal of unsupervised learning is to extract an efficient internal representation of the statistical structure implicit in the inputs. These algorithms provide insights into the development of the cerebral cortex and implicit learning in humans. They are also of interest to engineers working in areas such as computer vision and speech recognition who seek efficient representations of raw input data.

Computer simulation is increasingly used in physics and engineering to predict the probable outcome of experiments and to aid in their interpretation. The methods of simulation are based on a range of numerical techniques for treating ordinary and partial differential equations. Since much of physics can be broken down into a relatively small set of fundamental equations, there is a set of very general methods which can be widely applied. This text aims to give an introduction to those methods suitable for readers at an undergraduate level and those meeting the subject for the first time at postgraduate level. The methods are illustrated with simple programs and problems. The book covers a range of material not available in a simple form in a single text elsewhere.

This volume covers the integration of fuzzy logic and expert systems. A vital resource in the field, it includes techniques for applying fuzzy systems to neural networks for modeling and control, systematic design procedures for realizing fuzzy neural systems, techniques for the design of rule-based expert systems using the massively parallel processing capabilities of neural networks, the transformation of neural systems into rule-based expert systems, the characteristics and relative merits of integrating fuzzy sets, neural networks, genetic algorithms, and rough sets, and applications to system identification and control as well as nonparametric, nonlinear estimation. Practitioners, researchers, and students in industrial, manufacturing, electrical, and mechanical engineering, as well as computer scientists and engineers will appreciate this reference source to diverse application methodologies.
Key Features
* Fuzzy system techniques applied to neural networks for modeling and control
* Systematic design procedures for realizing fuzzy neural systems
* Techniques for the design of rule-based expert systems
* Characteristics and relative merits of integrating fuzzy sets, neural networks, genetic algorithms, and rough sets
* System identification and control
* Nonparametric, nonlinear estimation
Practitioners, researchers, and students in industrial, manufacturing, electrical, and mechanical engineering, as well as computer scientists and engineers will find this volume a unique and comprehensive reference to these diverse application methodologies

How does a bird flock keep its movements so graceful and synchronized? Most people assume that the bird in front leads and the others follow. In fact, bird flocks don't have leaders: they are organized without an organizer, coordinated without a coordinator. And a surprising number of other systems, from termite colonies to traffic jams to economic systems, work the same decentralized way. Turtles, Termites, and Traffic Jams describes innovative new computational tools that can qhelp people (even young children) explore the workings of such systems--and help them move beyond the centralized mindset.

The three-dimensional structure of proteins is a key factor in their biological activity. There is an increasing need to be able to predict the structure of a protein once its amino-acid sequence is known; this book presents practical methods of achieving that ambitious aim, using the latest computer modelling algorithms.

Since 1977, Hofstadter, the author of Godel, Escher, Bach, and his students have been developing computer models of discovery, creation, and analogical thought. What has emerged is a sophisticated and unorthodox vision of the mind in which perception, at an abstract level, is the key: perception of situations, of patterns, of patterns among patterns. This book conveys this bold vision to a broad public. Illustrations.

Specially designed computer software is revolutionizing procedures for structured or rational drug design and discovery. The Guidebook on Molecular Modeling in Drug Design serves as a manual for the analysis ofmolecular structure and the correlation of these structures with pharmacological reactions. Intended as an introductory guide for advanced students and professionals with an interest in computer-assisted modeling for drug design and discovery, this bookwill also be of interest to medicinal and organic chemists, pharmaceutical researchers, pharmacologists, and biochemists who want to gain further insight into this rapidly advancing field.
Molecular modeling is assuming an important role in the understanding of three-dimensional aspects in the specificity of drug-receptor interactions at the molecular level. This research area has become a well-established discipline in pharmaceutical research. It has created unprecedented opportunities in assisting medicinal chemists in the design of new therapeutic agents. Advances made in computer hardware and in theoretical medicinal chemistry have brought high-performance computing and graphics tools within reach of most academic and industrial laboratories, facilitating the development of useful approaches to rational drug design.
The Guidebook on Molecular Modeling in Drug Design serves as a manual for the analysis of the molecular structure of biological molecules and drugs and the correlation of these structures with pharmacological actions. Intended as a guide for advanced students and professionals with an interest in computer-assisted modeling for drug design and discovery, this book will also be of interest to medicinal and organic chemists, pharmaceutical researchers, pharmacologists, and biochemists who want to gain further insight into this rapidly advancing field.

One common criticism of Artificial Intelligence (AI) is the brittleness of the solutions it produces. The suggestion is that AI systems have not scaled well beyond the relatively limited domains to which they have been applied. In recent years there has been a marked trend in the AI community towards real-world applications. Techniques, inspired by AI's wider ambition to produce more intelligent machines, are not only gaining acceptance in other fields of scientific research, but also in areas such as business, commerce and industry. Moreover, there is a tendency for the techniques themselves to be developed, tested and refined within such applications. The contemporary theme seems to be, if a technique represents a genuine advance in software engineering, then by definition it has commercial advantage. Nowhere is this trend more evident than in the application of genetic algorithms (GAs). What has marked out as GAs as compared to other techniques is the surprising speed with which commercial organizations have shown an interest. One of the reasons for this is that GAs seem to offer an extremely effective, general-purpose, means for dealing with both complexity and scale. This book presents a snapshot of some of the GA research taking place within Europe. In summery, the book attempts to emphasise the diversity of the GA approach, by presenting detailed descriptions of GAs used for real-world optimization and for complex modelling problems.

This book presents a methodology for the development and computer implementation of dynamic models for transport process systems. Rather than developing the general equations of transport phenomena, it develops the equations required specifically for each new example application. These equations are generally of two types: ordinary differential equations (ODEs) and partial differential equations (PDEs) for which time is an independent variable. The computer-based methodology presented is general purpose and can be applied to most applications requiring the numerical integration of initial-value ODEs/PDEs. A set of approximately two hundred applications of ODEs and PDEs developed by the authors are listed in Appendix 8.

This is a practical perspective on simulation aimed at working scientists and engineers. Amply illustrated, the book provides many examples with computer coding. New topics, such as animation, concept modeling, and logic transfer are covered in detail.

Add 3D to your mograph skillset! For the experienced 2D artist, this lavishly illustrated, 4 color book presents the essentials to building and compositing 3D elements into your 2D world of film and broadcast. Concepts and techniques are presented in concise, step-by-step tutorials, hundreds of which are featured throughout. Featured applications include Photoshop, Illustrator, After Effects, and Cinema 4D. Lessons include exploring the expanded 3D functionality of the Adobe Creative Suite applications (After Effects, Photoshop, and Illustrator) through a series of practical tutorials. More advanced lessons then follow, with tutorials and insight provided in specifically geared lessons for 2D artists working in Cinema 4D, 3ds Max, and ZBrush. 4-color presentation is further enhanced by various sidebars, tips, and "gotchas" to watch for through-out the book. The downloadable resources contain hours of project files with which you can work along the tutorials in the book.

This book provides new and seasoned users with step-by-step procedures on creating and modifying 3D models, working with cameras and lights, assigning materials to objects, rendering, and printing. Unlike many AutoCAD competitors, it uses mixed units - inches, meters, feet, kilometers, etc., to illustrate the myriad tools for this popular application. Use the companion DVD to set up drawing exercises and projects, see all of the book s figures in color, and draw with a trial version of AutoCAD 2012. AutoCAD 2012 3D Modeling includes 50 mini-workshops, that complete small projects from concept through actual plotting. Solving all of the workshops will simulate the creation of four full projects (architectural and mechanical) from beginning to end, without overlooking any of the basic commands and functions in AutoCAD 2012.BRIEF TABLE OF CONTENTS: 1: AutoCAD 2012 3D Basics. 2: About Solids. 3: About Meshes. 4: About Surfaces. 5: 3D Modifying Commands. 6: Converting, Sectioning, and 3D Objects Printing. 7: Cameras, Lights, Materials, and Rendering. 8: Visual Styles, Animation, and 3D DWF."

Understanding Molecular Simulation: From Algorithms to Applications explains the physics behind the "recipes" of molecular simulation for materials science. Computer simulators are continuously confronted with questions concerning the choice of a particular technique for a given application. A wide variety of tools exist, so the choice of technique requires a good understanding of the basic principles. More importantly, such understanding may greatly improve the efficiency of a simulation program. The implementation of simulation methods is illustrated in pseudocodes and their practical use in the case studies used in the text.
Since the first edition only five years ago, the simulation world has changed significantly -- current techniques have matured and new ones have appeared. This new edition deals with these new developments; in particular, there are sections on:
. Transition path sampling and diffusive barrier crossing to simulaterare events
. Dissipative particle dynamic as a course-grained simulation technique
. Novel schemes to compute the long-ranged forces
. Hamiltonian and non-Hamiltonian dynamics in the context constant-temperature and constant-pressure molecular dynamics simulations
. Multiple-time step algorithms as an alternative for constraints
. Defects in solids
. The pruned-enriched Rosenbluth sampling, recoil-growth, and concerted rotations for complex molecules
. Parallel tempering for glassy Hamiltonians
Examples are included that highlight current applications and the codes of case studies are available on the World Wide Web. Several new examples have been added since the first edition to illustrate recent applications. Questions are included in this new edition. No prior knowledge of computer simulation is assumed."

Dieses Buch gibt eine Einfuhrung in die mathematische und informatische Modellierung sowie in die Simulation als universelle Methodik. Und so geht es um Klassen von Modellen, um deren Herleitung und um die Vielfalt an Beschreibungsarten, die eingesetzt werden konnen diskret oder kontinuierlich, deterministisch oder stochastisch. Aber immer geht es auch darum, wie aus unterschiedlichen abstrakten Modellen ganz konkrete Simulationsergebnisse gewonnen werden konnen.
Nach einem kompakten Repetitorium zum benotigten mathematischen Apparat wird das Konzept Uber das Modell zur Simulation" anhand von 14 Szenarien aus den Bereichen Spielen entscheiden planen," Verkehr auf Highways und Datenhighways," Dynamische Systeme" sowie Physik im Rechner" umgesetzt. Ob Spieltheorie oder Finanzmathematik, Verkehr oder Regelung, ob Populationsdynamik oder Chaos, Molekulardynamik, Kontinuumsmechanik oder Computergraphik der Leser erhalt auf anschauliche und doch systematische Weise Einblicke in die Welt der Modelle und Simulationen."

Reviews In Computational Chemistry

Martin Schoen and Sabine Klapp

Kenny B. Lipkowitz and Thomas Cundari, Series Editors

This volume, unlike those prior to it, consists of a single monograph covering the timely topic of confined fluids. Volume 24 features the thermodynamics of confined phases, elements of statistical thermodynamics, one-dimensional hard-rod fluids, mean-field theory, treatments of confined fluids with short-range and long-range interactions, and the statistical mechanics of disordered confined fluids. Six appendices are included, which cover the mathematical derivation of equations used throughout the book.

From Reviews Of The Series

"Reviews in Computational Chemistry remains the most valuable reference to methods and techniques in computational chemistry."
--Journal Of Molecular Graphics And Modelling

"One cannot generally do better than to try to find an appropriate article in the highly successful Reviews in Computational Chemistry. The basic philosophy of the editors seems to be to help the authors produce chapters that are complete, accurate, clear, and accessible to experimentalists (in particular) and other nonspecialists (in general)."
--Journal Of The American Chemical Society

The metaphor of the adaptive landscape - that evolution via the process of natural selection can be visualized as a journey across adaptive hills and valleys, mountains and ravines - permeates both evolutionary biology and the philosophy of science. The focus of this 2006 book is to demonstrate to the reader that the adaptive landscape concept can be put into actual analytical practice through the usage of theoretical morphospaces - geometric spaces of both existent and non-existent biological form - and to demonstrate the power of the adaptive landscape concept in understanding the process of evolution. The adaptive landscape concept further allows us to take a spatial approach to the concepts of natural selection, evolutionary constraint and evolutionary development. For that reason, this book relies heavily on spatial graphics to convey the concepts developed within these pages, and less so on formal mathematics.

Why take months to learn every button in 3ds Max when you can create great visuals with just a few key tools? Utilize the tool of choice, 3ds Max 2014, for generating realistic environments, seamless CG effects, and jaw dropping games in a matter of hours. You can use the memory-hogging methods that choke your display and take forever to render, or you can get it done quickly and efficiently. Michael McCarthy offers a goldmine of artistic inspiration, timesaving tips & tricks, and step-by-step walkthroughs-you'll wonder how you every got by without it! Start animating today with detailed tutorials, source files, bitmaps, and video demonstrations-all featured on the companion website. This new edition has been completely revamped for 3ds Max 2014. You will find coverage on brand new features and tools such as Scene Management, iRay, Nitrous, Mass FX, and particles and physics. How to Cheat in 3ds Max 2014 features interviews with industry professionals that will help you gain the edge you need in the competitive world of animation. 3ds Max luminary and recipient of the 2011 Autodesk 3ds Max Master Award, author Michael McCarthy shares his 3ds Max secrets and little-known tips and tricks that save users hours of time Includes all new content and advanced cheats on modelling, special effects, natural elements, and the particle system Proven How to Cheat series teaches how to create quick yet stunning special effects, animations, realistic textures, and game elements

This text reviews the fundamental theory and latest methods for including contextual information in fusion process design and implementation. Chapters are contributed by the foremost international experts, spanning numerous developments and applications. The book highlights high- and low-level information fusion problems, performance evaluation under highly demanding conditions, and design principles. A particular focus is placed on approaches that integrate research from different communities, emphasizing the benefit of combining different techniques to overcome the limitations of a single perspective. Features: introduces the terminology and core elements in information fusion and context; presents key themes for context-enhanced information fusion; discusses design issues in developing context-aware fusion systems; provides mathematical grounds for modeling the contextual influences in representative fusion problems; describes the fusion of hard and soft data; reviews a diverse range of applications.

Simulations have reached new levels of precision with the acceleration of progress in computing and processing power. The amounts of data that can be processed and analyzed allow new methodological advances and inspire researchers across disciplines to ask new research questions. The objectives of this edited volume therefore are - to identify new areas of research in which computer-based simulations allow for results and conclusions that would have not been possible without simulations - to evaluate the opportunities and the limits of computer-based simulations - and to foster trans-disciplinary scientific work that explores the potentials of e.g. methods of theoretical physics for areas of economic research.

Theoretical neuroscience provides a quantitative basis for describing what nervous systems do, determining how they function, and uncovering the general principles by which they operate. This text introduces the basic mathematical and computational methods of theoretical neuroscience and presents applications in a variety of areas including vision, sensory-motor integration, development, learning, and memory.

The book is divided into three parts. Part I discusses the relationship between sensory stimuli and neural responses, focusing on the representation of information by the spiking activity of neurons. Part II discusses the modeling of neurons and neural circuits on the basis of cellular and synaptic biophysics. Part III analyzes the role of plasticity in development and learning. An appendix covers the mathematical methods used, and exercises are available on the book's Web site.