Geologists must be able to "read" a geological map. That means interpreting the vertical dimension through the 2D view represented on the map and at different scales. The main objective of this book is to help students during this difficult learning process. Based on an abundant iconography (field photos, maps, cross-sections) and on basics in mathematics and mechanics, the book dissects the geometry of emblematic geological structures and objects in order to build 3 D models, printable in 3D. The book is dedicated to structural geology with a particular emphasis on kinematics of faulting and folding and on salt tectonics (chapters III, IV and V). The origin of continental great unconformities and oceanic break-up unconformities is also discussed (chapter II). The audience of the book is broad and includes (under)graduate students in Earth Sciences, professors of Natural Sciences, and professional or amateur geologists.

Computer simulations based on mathematical models have become ubiquitous across the engineering disciplines and throughout the physical sciences. Successful use of a simulation model, however, requires careful interrogation of the model through systematic computer experiments. While specific theoretical/mathematical examinations of computer experiment design are available, those interested in applying proposed methodologies need a practical presentation and straightforward guidance on analyzing and interpreting experiment results. Written by authors with strong academic reputations and real-world practical experience, Design and Modeling for Computer Experiments is exactly the kind of treatment you need. The authors blend a sound, modern statistical approach with extensive engineering applications and clearly delineate the steps required to successfully model a problem and provide an analysis that will help find the solution. Part I introduces the design and modeling of computer experiments and the basic concepts used throughout the book. Part II focuses on the design of computer experiments. The authors present the most popular space-filling designs - like Latin hypercube sampling and its modifications and uniform design - including their definitions, properties, construction and related generating algorithms. Part III discusses the modeling of data from computer experiments. Here the authors present various modeling techniques and discuss model interpretation, including sensitivity analysis. An appendix reviews the statistics and mathematics concepts needed, and numerous examples clarify the techniques and their implementation. The complexity of real physical systems means that there is usually no simple analytic formula that sufficiently describes the phenomena. Useful both as a textbook and professional reference, this book presents the techniques you need to design and model computer experiments for practical problem solving.

Simulation Modelling has been used for many years in the manufacturing sector but has now become a mainstream tool in business situations. This is partly because of the popularity of Business Process Reengineering (BPR) and other process based improvement methods that use simulation to help analyse changes in process design. This text book includes case studies in both manufacturing and service situations to demonstrate the usefulness of the approach. A further reason for the increasing popularity of the technique is the development of business orientated and user-friendly windows-based software. This text provides a guide to the use of ARENA, SIMUL8 and WITNESS simulation software systems which are widely used in industry and available to students. Overall this text provides a practical guide to building and implementing the results from a simulation model. All the steps in a typical simulation study are covered including data collection, input data modelling and experimentation.

The Computer Science and Engineering Handbook characterizes the current state of theory and practice in the field. In this single volume you can find quick answers to the questions that affect your work every day. More than 110 chapters describe fundamental principles, "best practices," research horizons, and their impact upon the professions and society. Glossaries of key terms, references, and sources for further information, including key Web sites, provide you with the most complete information on every topic.

With the advent of sophisticated general programming environments like Mathematica, the task of developing new models of metabolism and visualizing their responses has become accessible to students of biochemistry and the life sciences in general. Modelling Metabolism with Mathematica presents the approaches, methods, tools, and algorithms for modelling the chemical-dynamics of metabolic pathways. The authors explain the concepts underpinning the deterministic theory of chemical and enzyme kinetics, present a graded series of computer models of metabolic pathways leading up to that of the human erythrocyte, and document a consistent set of rate equations and associated kinetic parameters.

The experimental and theoretical study of metabolism in mammalian cells has a long and fruitful history, but our understanding of cellular metabolism at the molecular level is far from complete. This book enables its readers to formulate their own models of time-dependent metabolic systems and aids them in the quest for the many fundamental and clinically relevant discoveries that remain to be made.

The extremes of constitutive and centrifuge modelling are explored here, with a range of lectures addressing specific areas of these two types of modelling as well as on specific design problems and the themes of failure, deformations and interfaces.

A discussion of the virtual testing of mechanical systems, presenting theories and techniques implemented in the FEDEM Multidisciplinary Simulation Software. The basis for this approach is the non-linear FE formulation and the Master-Slave techniques used for modelling joints and transmissions.

Designed for use in a second course on linear algebra, Matrix Theory and Applications with MATLAB covers the basics of the subject-from a review of matrix algebra through vector spaces to matrix calculus and unitary similarity-in a presentation that stresses insight, understanding, and applications. Among its most outstanding features is the integration of MATLAB throughout the text. Each chapter includes a MATLAB subsection that discusses the various commands used to do the computations in that section and offers code for the graphics and some algorithms used in the text.

All of the material is presented from a matrix point of view with enough rigor for students to learn to compose arguments and proofs and adjust the material to cover other problems. The treatment includes optional subsections covering applications, and the final chapters move beyond basic matrix theory to discuss more advanced topics, such as decompositions, positive definite matrices, graphics, and topology.

Filled with illustrations, examples, and exercises that reinforce understanding, Matrix Theory and Applications with MATLAB allows readers to experiment and visualize results in a way that no other text does. Its rigor, use of MATLAB, and focus on applications better prepares them to use the material in their future work and research, to extend the material, and perhaps obtain new results of their own.

Phylogenetic (evolutionary) trees and networks are widely used throughout evolutionary biology, epidemiology, and ecology to infer the historical relationships between species through inherited characteristics. Semple and Steel discuss the mathematics that underlies the reconstruction and analysis of these phylogenetic trees.

Transfer function form, zpk, state space, modal, and state space modal forms. For someone learning dynamics for the first time or for engineers who use the tools infrequently, the options available for constructing and representing dynamic mechanical models can be daunting. It is important to find a way to put them all in perspective and have them available for quick reference.

It is also important to have a strong understanding of modal analysis, from which the total response of a system can be constructed. Finally, it helps to know how to take the results of large dynamic finite element models and build small MATLAB® state space models.

Vibration Simulation Using MATLAB and ANSYS answers all those needs. Using a three degree-of-freedom (DOF) system as a unifying theme, it presents all the methods in one book. Each chapter provides the background theory to support its example, and each chapter contains both a closed form solution to the problem-shown in its entirety-and detailed MATLAB code for solving the problem.

Bridging the gap between introductory vibration courses and the techniques used in actual practice, Vibration Simulation Using MATLAB and ANSYS builds the foundation that allows you to simulate your own real-life problems.

Features

o Demonstrates how to solve real problems, covering the vibration of systems from single DOF to finite element models with thousands of DOF
o Illustrates the differences and similarities between different models by tracking a single example throughout the book
o Includes the complete, closed-form solution and the MATLAB code used to solve each problem
o Shows explicitly how to take the results of a realistic ANSYS finite element model and develop a small MATLAB state-space model
o Provides a solid grounding in how individual modes of vibration combine for overall system response

Expanded to include a broader range of problems than the bestselling first edition, Finite Element Method Using MATLAB: Second Edition presents finite element approximation concepts, formulation, and programming in a format that effectively streamlines the learning process. It is written from a general engineering and mathematical perspective rather than that of a solid/structural mechanics basis.

What's new in the Second Edition?

Each chapter in the Second Edition now includes an overview that outlines the contents and purpose of each chapter. The author has also added a new chapter of special topics in applications, including cracks, semi-infinite and infinite domains, buckling, and thermal stress. He discusses three different linearization techniques to solve nonlinear differential equations. Also included are new sections on shell formulations and MATLAB programs. These enhancements increase the book's already significant value both as a self-study text and a reference for practicing engineers and scientists.

The latest from a computer graphics pioneer, An Introduction to NURBS is the ideal resource for anyone seeking a theoretical and practical understanding of these very important curves and surfaces. Beginning with Bezier curves, the book develops a lucid explanation of NURBS curves, then does the same for surfaces, consistently stressing important shape design properties and the capabilities of each curve and surface type. Throughout, it relies heavily on illustrations and fully worked examples that will help you grasp key NURBS concepts and deftly apply them in your work. Supplementing the lucid, point-by-point instructions are illuminating accounts of the history of NURBS, written by some of its most prominent figures.

Whether you write your own code or simply want deeper insight into how your computer graphics application works, An Introduction to NURBS will enhance and extend your knowledge to a degree unmatched by any other resource.
* Presents vital information with applications in many different areas: CAD, scientific visualization, animation, computer games, and more.
* Facilitates accessiblity to anyone with a knowledge of first-year undergraduate mathematics.
* Details specific NURBS-based techniques, including making cusps with B-spline curves and conic sections with rational B-spline curves.
* Presents all important algorithms in easy-to-read pseudocode-useful for both implementing them and understanding how they work.
* Provides C-code implementations of worked examples at http: //www.mkp.com/nurbs.
* Includes complete references to additional NURBS resources."

The Visible Human Project is a critical investigation of the spectacular, three-dimensional recordings of real human bodies - dissected, photographed and converted into visual data files - made by the US National Library of Medicine in Baltimore. Catherine Waldby uses new ideas from cultural studies, science studies and social studies of the computer to situate the Visible Human Project in its historical and cultural context, and to consider the meanings such an object has within a computerised culture.
In this fascinating and important book, Catherine Waldby explores how advances in medical technologies have changed the way we view and study the human body, and places the VHP within the history of technologies such as the X-ray and CT-scan, which allow us to view the human interior.
Bringing together medical conceptions of the human body with theories of visual culture from Foucault to Donna Haraway, Waldby links the VHP to a range of other biomedical projects, such as the Human Genome Project and cloning, which approach living bodies as data sources. She argues that the VHP is an example of the increasingly blurred distinction between `living' and 'dead' human bodies, as the bodies it uses are digitally preserved as a resource for living bodies, and considers how computer-based biotechnologies affect both medical and non-medical meanings of the body's life and death, its location and its limits.

The Visible Human Project is a critical investigation of the spectacular, three-dimensional recordings of real human bodies - dissected, photographed and converted into visual data files - made by the US National Library of Medicine in Baltimore. Catherine Waldby uses new ideas from cultural studies, science studies and social studies of the computer to situate the Visible Human Project in its historical and cultural context, and to consider the meanings such an object has within a computerised culture.
In this fascinating and important book, Catherine Waldby explores how advances in medical technologies have changed the way we view and study the human body, and places the VHP within the history of technologies such as the X-ray and CT-scan, which allow us to view the human interior.
Bringing together medical conceptions of the human body with theories of visual culture from Foucault to Donna Haraway, Waldby links the VHP to a range of other biomedical projects, such as the Human Genome Project and cloning, which approach living bodies as data sources. She argues that the VHP is an example of the increasingly blurred distinction between `living' and 'dead' human bodies, as the bodies it uses are digitally preserved as a resource for living bodies, and considers how computer-based biotechnologies affect both medical and non-medical meanings of the body's life and death, its location and its limits.

eBook available with sample pages: HB:0415174058

As part of the Environmental and Ecological Modeling Handbooks series, the Handbook of Ecosystem Theories and Management provides a comprehensive overview of ecosystem theory and the tools - ecological engineering, ecological modeling, ecotoxicology and ecological economics -to manage these systems.
The book is laid out to provide a summary or survey of each topic, using many tables and figures. Concepts, definitions, important findings, basic hypotheses, important correlations between theories and observation with illustrative graphs are included.
The comprehensive treatment of ecosystem theory and application of theoretical tools, and the integration of classical theory and real world examples, sets this book apart. It covers newly emerging topical areas as well as nontraditional topical areas (i.e. chaos) that will interest professionals trained in previous decades and enlighten those now entering into formal training. The general approach taken by the authors makes this an essential reference and handbook for professionals and students.

This book is on urban resilience - how to design and operate cities that can withstand major threats such as natural disasters and economic downturns and how to recover from them. It is a collection of latest research results from two separate but collaborating research groups, namely, researchers in urban design and those on general resilience theory. The book systematically deals with the core aspects of urban resilience: systems, management issues and populations. The taxonomy can be broken down into threats, systems, resilience cycles and recovery types in the context of urban resilience. It starts with a discussion of systems resilience models, focusing on the central idea that resilience is a moving average of costs (a set of trajectories in a two-player game paradigm). The second section explores management issues, including planning, operating and emergency response in cities with specific examples such as land-use planning and carbon-neutral scenarios for urban planning. The next section focuses on urban dwellers and specific people-related issues in the context of resilience. Agent-based simulation of behaviour and perception-based resilience, as well as brand crisis management are representative examples of the topics discussed. A further section examines systems like public utilities - including managing power supplies, cyber-security issues and models for pandemics. It concludes with a discussion of the future challenges and risks facing complex systems, for example in resilient power grids, making it essential reading for a wide range of researchers and policymakers.

New to CINEMA 4D and looking for an accessible way to get up to speed quickly? Do you already know the basics of the software but need to know the new features or take your skills and understanding a little deeper? If so, look no further than CINEMA 4D Apprentice, your one-stop shop for learning this powerful application. With guidance that takes you beyond just the button-pushing, author Kent McQuilkin guides you through 10 core lessons, starting with the basics before moving onto more complex techniques and concepts and then tying it all together with a final project. CINEMA 4D Apprentice walks you through the software with a project-based approach, allowing you to put lessons learned into immediate practice. Best practices and workflows for motion graphics artists that can be applied to any software application are included. A companion website (www.focalpress.com/cw/mcquilkin) features project files and videos of the techniques in action. Topics covered include: creating basic scenes, modeling, texture mapping mograph in-depth integration with After Effects via CINEWARE lighting, animation, rendering and more motion tracking with the new tools included in R16

One critical barrier leading to successful implementation of flexible manufacturing and related automated systems is the ever-increasing complexity of their modeling, analysis, simulation, and control. Research and development over the last three decades has provided new theory and graphical tools based on Petri nets and related concepts for the design of such systems. The purpose of this book is to introduce a set of Petri-net-based tools and methods to address a variety of problems associated with the design and implementation of flexible manufacturing systems (FMSs), with several implementation examples.There are three ways this book will directly benefit readers. First, the book will allow engineers and managers who are responsible for the design and implementation of modern manufacturing systems to evaluate Petri nets for applications in their work. Second, it will provide sufficient breadth and depth to allow development of Petri-net-based industrial applications. Third, it will allow the basic Petri net material to be taught to industrial practitioners, students, and academic researchers much more efficiently. This will foster further research and applications of Petri nets in aiding the successful implementation of advanced manufacturing systems.

Offers a treatment of modern applications of modelling and simulation in crop, livestock, forage/livestock systems, and field operations. The book discusses methodologies from linear programming and neutral networks, to expert or decision support systems, as well as featuring models, such as SOYGRO, CROPGRO and GOSSYM/COMAX. It includes coverage on evaporation and evapotranspiration, the theory of simulation based on biological processes, and deficit irrigation scheduling.

Contents:
1. Basic Principles: The Operating Regime Approach 2. Modelling: Fuzzy Set Methods for Local Modelling Identification 3. Modelling of Electrically Stimulated Muscle 4. Process Modelling Using a Functional State Approach 5. Markov Mixtures of Experts 6. Active Learning With Mixture Models 7. Local Learning in Local Model Networks 8. Side Effects of Normalising Basic Functions 9. Control: Heterogeneous Control Laws 10. Local Laguerre Models 11. Multiple Model Adaptive Control 12. H Control Using Multiple Linear Models 13. Synthesis of Fuzzy Control Systems Based on Linear Takagi-Sugeno Fuzzy Models

Simulation is a multi-disciplinary field, and significant simulation research is dispersed across multiple fields of study. Distributed computer systems, software design methods, and new simulation techniques offer synergistic multipliers when joined together in a distributed simulation. Systems of most interest to the simulation practitioner are often the most difficult to model and implement.
Distributed Simulation brings together the many complex technologies for distributed simulation. There is strong emphasis on emerging simulation methodologies, including object-oriented, multilevel, and multi-resolution simulation. Finally, one concise text provides a strong foundation for the development of high fidelity simulations in heterogeneous distributed computing environments!

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

The ability to manipulate spatial data in different forms and to extract additional meaning from them is at the heart of GIS, yet genuine spatial analysis tools are rarely incorporated into commercial software, thus seriously limiting their usefulness. The future of GIS technology wil depend largely on the incorporation of more powerful analytical and modelling functions - and there is agreement within the GIS community of the urgent need to address these issues. This text attempts this task. It presents the latest information on incorporating spatial analysis tools into GIS, and includes concepts and applications from both the environmental and socio-econimc sciences.

Partial differential equations (PDEs) play an important role in the natural sciences and technology, because they describe the way systems (natural and other) behave. The inherent suitability of PDEs to characterizing the nature, motion, and evolution of systems, has led to their wide-ranging use in numerical models that are developed in order to analyze systems that are not otherwise easily studied. Numerical Solutions for Partial Differential Equations contains all the details necessary for the reader to understand the principles and applications of advanced numerical methods for solving PDEs. In addition, it shows how the modern computer system algebra MathematicaA(R) can be used for the analytic investigation of such numerical properties as stability, approximation, and dispersion.

Inspire your own creativity with Digital Mayhem 3D Machine Techniques. Compiled by Duncan Evans, founder of 3D Artist Magazine, this book is the next installment of the Digital Mayhem series. Explore, page after page, spectacular machine images created by the industry's top talent. With over 500 stunning images, Digital Mayhem 3D Machine Techniques is not your basic software manual. It is where technique and inspiration meet - a detailed and innovative guide to great machine images. Each chapter contains vibrant images and an explanation of the artist's workflow, including a step-by-step tutorial to help you achieve similar results. From pre-viz to post production, this book takes you through the whole process of creating your very own machine masterpiece! Get inside the minds of the artists with breakdown overviews and supporting imagery to explain what went into their piece. Expand your digital canvas to include a variety of software techniques, tools and workflows. Visit the companion website for additional resources to help you develop your machine technique skills. Key Features Tutorials and images are provided by artists who are from all regions of the world Every image is coupled with a description of the artists' techniques and their problem solving solutions. Helps anyone develop time saving workflow tricks, apply software shortcuts, and keep abreast of industry trends Each artist highlights a specific creative technique or design element, offering cutting-edge insight and technical know-how of digital masters