A Toolbox for Digital Twins: From Model-Based to Data-Driven brings together the mathematical and numerical frameworks needed for developing digital twins (DTs). Starting from the basics-probability, statistics, numerical methods, optimization, and machine learning-and moving on to data assimilation, inverse problems, and Bayesian uncertainty quantification, the book provides a comprehensive toolbox for DTs. Readers will find guidelines and decision trees to help the reader choose the right tools for the job, emphasis on the design process, denoted as the "inference cycle," whose aim is to propose a global methodology for complex problems, a comprehensive reference section with all recent methods, covering both model-based and data-driven approaches, and a vast selection of examples and all accompanying code. A Toolbox for Digital Twins: From Model-Based to Data-Driven is for researchers and engineers, engineering students, and scientists in any domain where data and models need to be coupled to produce digital twins.

In this self-consistent monograph, the author gathers and describes different mathematical techniques and combines all together to form practical procedures for the inverse analyses. It puts together topics coming from mathematical programming, with soft computing and Proper Orthogonal Decomposition, in order to show, in the context of structural analyses, how the things work and what are the main problems one needs to tackle.

Throughout the book a number of examples and exercises are worked out in order to make reader practically familiar with discussed topics.

Deeply rooted in fundamental research in Mathematics and Computer Science, Cellular Automata (CA) are recognized as an intuitive modeling paradigm for Complex Systems. Already very basic CA, with extremely simple micro dynamics such as the Game of Life, show an almost endless display of complex emergent behavior. Conversely, CA can also be designed to produce a desired emergent behavior, using either theoretical methodologies or evolutionary techniques. Meanwhile, beyond the original realm of applications - Physics, Computer Science, and Mathematics - CA have also become work horses in very different disciplines such as epidemiology, immunology, sociology, and finance. In this context of fast and impressive progress, spurred further by the enormous attraction these topics have on students, this book emerges as a welcome overview of the field for its practitioners, as well as a good starting point for detailed study on the graduate and post-graduate level. The book contains three parts, two major parts on theory and applications, and a smaller part on software. The theory part contains fundamental chapters on how to design and/or apply CA for many different areas. In the applications part a number of representative examples of really using CA in a broad range of disciplines is provided - this part will give the reader a good idea of the real strength of this kind of modeling as well as the incentive to apply CA in their own field of study. Finally, we included a smaller section on software, to highlight the important work that has been done to create high quality problem solving environments that allow to quickly and relatively easily implement a CA model and run simulations, both on the desktop and if needed, on High Performance Computing infrastructures.

3D rotation analysis is widely encountered in everyday problems thanks to the development of computers. Sensing 3D using cameras and sensors, analyzing and modeling 3D for computer vision and computer graphics, and controlling and simulating robot motion all require 3D rotation computation. This book focuses on the computational analysis of 3D rotation, rather than classical motion analysis. It regards noise as random variables and models their probability distributions. It also pursues statistically optimal computation for maximizing the expected accuracy, as is typical of nonlinear optimization. All concepts are illustrated using computer vision applications as examples. Mathematically, the set of all 3D rotations forms a group denoted by SO(3). Exploiting this group property, we obtain an optimal solution analytical or numerically, depending on the problem. Our numerical scheme, which we call the "Lie algebra method," is based on the Lie group structure of SO(3). This book also proposes computing projects for readers who want to code the theories presented in this book, describing necessary 3D simulation setting as well as providing real GPS 3D measurement data. To help readers not very familiar with abstract mathematics, a brief overview of quaternion algebra, matrix analysis, Lie groups, and Lie algebras is provided as Appendix at the end of the volume.

Emerging Trends in Computational Biology, Bioinformatics, and Systems Biology discusses the latest developments in all aspects of computational biology, bioinformatics, and systems biology and the application of data-analytics and algorithms, mathematical modeling, and simu- lation techniques. * Discusses the development and application of data-analytical and theoretical methods, mathematical modeling, and computational simulation techniques to the study of biological and behavioral systems, including applications in cancer research, computational intelligence and drug design, high-performance computing, and biology, as well as cloud and grid computing for the storage and access of big data sets. * Presents a systematic approach for storing, retrieving, organizing, and analyzing biological data using software tools with applications to general principles of DNA/RNA structure, bioinformatics and applications, genomes, protein structure, and modeling and classification, as well as microarray analysis. * Provides a systems biology perspective, including general guidelines and techniques for obtaining, integrating, and analyzing complex data sets from multiple experimental sources using computational tools and software. Topics covered include phenomics, genomics, epigenomics/epigenetics, metabolomics, cell cycle and checkpoint control, and systems biology and vaccination research. * Explains how to effectively harness the power of Big Data tools when data sets are so large and complex that it is difficult to process them using conventional database management systems or traditional data processing applications.

Computational Materials Engineering: Achieving High Accuracy and Efficiency in Metals Processing Simulations describes the most common computer modeling and simulation techniques used in metals processing, from so-called "fast" models to more advanced multiscale models, also evaluating possible methods for improving computational accuracy and efficiency. Beginning with a discussion of conventional fast models like internal variable models for flow stress and microstructure evolution, the book moves on to advanced multiscale models, such as the CAFE method, which give insights into the phenomena occurring in materials in lower dimensional scales. The book then delves into the various methods that have been developed to deal with problems, including long computing times, lack of proof of the uniqueness of the solution, difficulties with convergence of numerical procedures, local minima in the objective function, and ill-posed problems. It then concludes with suggestions on how to improve accuracy and efficiency in computational materials modeling, and a best practices guide for selecting the best model for a particular application.

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.

Master the art of computer animation and visual effects production with the latest edition of this cutting-edge guide

This remarkable edition of "The Art of 3D Computer Animation and Effects" offers clear, step-by-step guidelines for the entire process of creating a fully rendered 3D computer animation. With up-to-date coverage of the latest computer animation styles and techniques, this versatile guide provides insightful information for creating animations and visual effects--from creative development and preproduction to finished animation.

Designed to work with any computer platform, this "Fourth Edition" cuts through technical jargon and presents numerous easy-to-understand instructive diagrams. Full-color examples are presented--including VFX and animated feature movies, games, and TV commercials--by such leading companies as Blue Sky, Blur, BUF, Disney, DreamWorks, Electronic Arts, Framestore, ILM, Imagi, Microsoft, Mac Guff, The Mill, Menfond, Pixar, Polygon, Rhythm & Hues, Sony Imageworks, Tippett, Ubisoft, and Weta, and many other studios and groundbreaking independent artists from around the world.

This fully revised edition features new material on the latest visual effects techniques, a useful update of the traditional principles of animation, practical information on creative development, multiple production pipeline ideas for shorts and visual effects, plus updated information on current production trends and techniques in animation, rendering, modeling, rigging, and compositing.

Whether you are a student, an independent artist or creator, or a production company team member, "The Art of 3D Computer Animation and Effects, Fourth Edition" gives you a broad palette of tips and techniques for bringing your visions to life through 3D computer animation.Unique focus on creative development and production issuesNon-platform specific, with multiple examples illustrated in a practical, step-by-step approachThe newest computer animation techniques, including facial animation, image-based and non-photorealistic rendering, model rigging, real-time models, and 2D/3D integrationOver 700 full-color imagesEncyclopedic timeline and production pipeline

This book presents tutorial overviews for many applications of variational methods to molecular modeling. Topics discussed include the Gibbs-Bogoliubov-Feynman variational principle, square-gradient models, classical density functional theories, self-consistent-field theories, phase-field methods, Ginzburg-Landau and Helfrich-type phenomenological models, dynamical density functional theory, and variational Monte Carlo methods. Illustrative examples are given to facilitate understanding of the basic concepts and quantitative prediction of the properties and rich behavior of diverse many-body systems ranging from inhomogeneous fluids, electrolytes and ionic liquids in micropores, colloidal dispersions, liquid crystals, polymer blends, lipid membranes, microemulsions, magnetic materials and high-temperature superconductors. All chapters are written by leading experts in the field and illustrated with tutorial examples for their practical applications to specific subjects. With emphasis placed on physical understanding rather than on rigorous mathematical derivations, the content is accessible to graduate students and researchers in the broad areas of materials science and engineering, chemistry, chemical and biomolecular engineering, applied mathematics, condensed-matter physics, without specific training in theoretical physics or calculus of variations.

For all introductory genetics courses. Focus on essential genetic topics and explore the latest breakthroughs Known for its focus on conceptual understanding, problem solving, and practical applications, the bestselling Essentials of Genetics strengthens problem-solving skills and explores the essential genetics topics that today's students need to understand. The 10th Edition has been extensively updated to provide comprehensive coverage of important, emerging topics such as CRISPR-Cas, epigenetics, and genetic testing. Additionally, a new Special Topic chapter covers Advances in Neurogenetics with a focus on Huntington Disease, and new essays on Genetics, Ethics, and Society emphasize ethical considerations that genetics is bringing into everyday life. The accompanying Mastering Genetics online platform includes new tutorials on topics such as CRISPR-Cas and epigenetics, and new Dynamic Study Modules, which support student learning of key concepts and prepare them for class. Also available as a Pearson eText or packaged with Mastering Genetics: Pearson eText is a simple-to-use, mobile-optimized, personalized reading experience that can be adopted on its own as the main course material. It lets students highlight, take notes, and review key vocabulary all in one place, even when offline. Seamlessly integrated videos and other rich media engage students and give them access to the help they need, when they need it. Educators can easily share their own notes with students so they see the connection between their eText and what they learn in class - motivating them to keep reading, and keep learning. If your instructor has assigned Pearson eText as your main course material, search for: 0135588847 / 9780135588840 Pearson eText Essentials of Genetics -- Access Card, 10/e OR 0135588782 / 9780135588789 Pearson eText Essentials of Genetics -- Instant Access, 10/e Also available with Mastering Genetics By combining trusted author content with digital tools and a flexible platform, Mastering personalizes the learning experience and improves results for each student.Mastering Genetics allows students to develop problem-solving skills, learn from tutorials on key genetics concepts, and gain a better understanding of emerging topics. If you would like to purchase both the physical text and Mastering Genetics, search for: 0135173604 / 9780135173602 Essentials of Genetics Plus Mastering Genetics -- Access Card Package Package consists of: 0134898419 / 9780134898414 Essentials of Genetics 0135188687 / 9780135188682 Mastering Genetics with Pearson eText -- ValuePack Access Card -- for Essentials of Genetics Note: You are purchasing a standalone book; Pearson eText and Mastering A&P do not come packaged with this content. Students, ask your instructor for the correct package ISBN and Course ID. Instructors, contact your Pearson representative for more information.

Provides in-depth tangible results from actual work undertaken in these innovative fields, in prolonged collaboration with the industry partners Includes real projects and case studies developed by the authors

A Practical Guide to SysML, Third Edition, fully updated for SysML version 1.4, provides a comprehensive and practical guide for modeling systems with SysML. With their unique perspective as leading contributors to the language, Friedenthal, Moore, and Steiner provide a full description of the language along with a quick reference guide and practical examples to help you use SysML. The book begins with guidance on the most commonly used features to help you get started quickly. Part 1 explains the benefits of a model-based approach, providing an overview of the language and how to apply SysML to model systems. Part 2 includes a comprehensive description of SysML that provides a detailed understanding that can serve as a foundation for modeling with SysML, and as a reference for practitioners. Part 3 includes methods for applying model-based systems engineering using SysML to specify and design systems, and how these methods can help manage complexity. Part 4 deals with topics related to transitioning MBSE practice into your organization, including integration of the system model with other engineering models, and strategies for adoption of MBSE.

This book presents the latest research in computational methods for modeling and simulating brain disorders. In particular, it shows how mathematical models can be used to study the relationship between a given disorder and the specific brain structure associated with that disorder. It also describes the emerging field of computational psychiatry, including the study of pathological behavior due to impaired functional connectivity, pathophysiological activity, and/or aberrant decision-making. Further, it discusses the data analysis techniques that will be required to analyze the increasing amount of data being generated about the brain. Lastly, the book offers some tips on the application of computational models in the field of quantitative systems pharmacology. Mainly written for computational scientists eager to discover new application fields for their model, this book also benefits neurologists and psychiatrists wanting to learn about new methods.

This book covers theoretical aspects of the physical processes, derivation of the governing equations and their solutions. It focusses on hydraulics, hydrology, and contaminant transport, including implementation of computer codes with practical examples. Python-based computer codes for all the solution approaches are provided for better understanding and easy implementation. The mathematical models are demonstrated through applications and the results are analyzed through data tables, plots, and comparison with analytical and experimental data. The concepts are used to solve practical applications like surface and ground water flow, flood routing, crop water requirement and irrigation scheduling. Combines the area of computational hydraulics, hydrology, and water resources engineering with Python Gives deep description of the basic equations and the numerical solutions of both 1D and 2D problems including the numerical codes Includes step-by-step translation of numerical algorithms in computer codes with focus on learners and practitioners Demonstration of theory, mathematical models through practical applications Analysis of each example through data tables, plots, and correlation with reality This book is aimed at senior undergraduates and graduate students in Civil Engineering, Coastal Engineering, Hydrology, and Water Resources Engineering.

This book brings together in-depth information on a wide array of bio-engineering topics and their application to enhance human health, performance, comfort, and survival in extreme environments. Contributions from biomedical engineering, information systems, medicine and physiology, and medical engineering are presented in relation to a broad range of harsh and extreme environmental scenarios, including underwater, terrestrial (both natural and man-made), and space travel. Physicians, engineers, and scientists, as well as researchers and graduate students, will find the book to be an invaluable resource. Details effects of extreme environments on human physiology; Presents human-environment interaction in different scenarios; Overview of engineering challenges and problems in extreme environments.

Simulation and molding are efficient techniques that can aid the city and regional planners and engineers in optimizing the operation of urban systems such as traffic light control, highway toll automation, consensus building, public safety, and environmental protection. When modeling transportation systems such as freeway systems, arterial or downtown grid systems, the city planner and engineer is concerned with capturing the varied interactions between drivers, automobiles, and the infrastructure. Modeling and simulation are used to effectively optimize the design and operation of all of these urban systems. It is possible that in an urban simulation community workshop, citizens can work interactively in front of computers and be able using the click of the mouse to walk up to their own front porch, looking at the proposed shopping mall alternatives across the street from virtually any angle and proposed bridge or tunnel and see how it can reduce traffic congestion. Buildings can be scaled down or taken out, their orientation can be changed in order to check the view and orientation in order to have better site with efficient energy-conservation. The stone or brick material on a building can be replaced by colored concrete, or more trees and lampposts can be placed on the site. Such flexibility in simulation and animation allows creative ideas in the design and orientation of urban sites to be demonstrated to citizens and decision makers before final realization.

In recent years fractional calculus has played an important role in various fields such as mechanics, electricity, chemistry, biology, economics, modeling, identification, control theory and signal processing. The scope of this book is to present the state of the art in the study of fractional systems and the application of fractional differentiation. Furthermore, the manufacture of nanowires is important for the design of nanosensors and the development of high-yield thin films is vital in procuring clean solar energy.

This wide range of applications is of interest to engineers, physicists and mathematicians.

This accessible text presents a detailed introduction to the use of a wide range of software tools and modeling environments for use in the biosciences, as well as the fundamental mathematical background. The practical constraints presented by each modeling technique are described in detail, enabling the researcher to determine which software package would be most useful for a particular problem. Features: introduces a basic array of techniques to formulate models of biological systems, and to solve them; discusses agent-based models, stochastic modeling techniques, differential equations, spatial simulations, and Gillespie's stochastic simulation algorithm; provides exercises; describes such useful tools as the Maxima algebra system, the PRISM model checker, and the modeling environments Repast Simphony and Smoldyn; contains appendices on rules of differentiation and integration, Maxima and PRISM notation, and some additional mathematical concepts; offers supplementary material at an associated website.

In the past decade, feature-based design and manufacturing has gained some momentum in various engineering domains to represent and reuse semantic patterns with effective applicability. However, the actual scope of feature application is still very limited. Semantic Modeling and Interoperability in Product and Process Engineering provides a systematic solution for the challenging engineering informatics field aiming at the enhancement of sustainable knowledge representation, implementation and reuse in an open and yet practically manageable scale. This semantic modeling technology supports uniform, multi-facet and multi-level collaborative system engineering with heterogeneous computer-aided tools, such as CADCAM, CAE, and ERP. This presented unified feature model can be applied to product and process representation, development, implementation and management. Practical case studies and test samples are provided to illustrate applications which can be implemented by the readers in real-world scenarios. By expanding on well-known feature-based design and manufacturing approach, Semantic Modeling and Interoperability in Product and Process Engineering provides a valuable reference for researchers, practitioners and students from both academia and engineering field.

Master the numerical simulation process required to design, test and support mobile and parallel computing systems. An accompanying ftp site contains all the Visual C++ based programs discussed in the text to help readers create their own programs. With its focus on problems and solutions, this is an excellent text for upper-level undergraduate and graduate students, and a must-have reference for researchers and professionals in the field of simulations.
More information about Visual C++ based programs can be found at: ftp: //ftp.wiley.com/public/sci_tech_med/numerical_simulations/

Developing Graphics Frameworks with Python and OpenGL shows you how to create software for rendering complete three-dimensional scenes. The authors explain the foundational theoretical concepts as well as the practical programming techniques that will enable you to create your own animated and interactive computer-generated worlds. You will learn how to combine the power of OpenGL, the most widely adopted cross-platform API for GPU programming, with the accessibility and versatility of the Python programming language. Topics you will explore include generating geometric shapes, transforming objects with matrices, applying image-based textures to surfaces, and lighting your scene. Advanced sections explain how to implement procedurally generated textures, postprocessing effects, and shadow mapping. In addition to the sophisticated graphics framework you will develop throughout this book, with the foundational knowledge you will gain, you will be able to adapt and extend the framework to achieve even more spectacular graphical results.

Increase the photorealism of your 3d visualizations with enhanced toolsets of V-Ray 5 for 3ds Max 2020. The book is filled with colorful illustrations depicting step-by-step tutorials about the process of creating a photorealistic day-and-night exterior scene. Each tutorial includes a 3d project scene to guide users through the production and the post-production processes. The book begins with an overview of the best techniques to approach clients via emails, calls, meetings, and via social media. There are also key insights into the best practices of handling projects, pricing, contracts, invoices, the pre-production, production, and the post-production, to name but a few. Throughout the book, users are taken through VRayMtl functions such as Diffuse, Roughness, Reflect, Glossiness, Metalness, Refract, Index of Refraction (IOR), Abbe number, Fog color, Translucency, BRDF, Coat, Sheen, and Bump. Also, users will learn how to use procedural maps such as VRayBitmap, VRayTriplanarTex, Bricks, Metals, Carpaint, VRayDisplacementMod, VRayUVWRandomizer, VRayMultiSubTex, VRayPointCloudColor, VRayDirt, VRayAerialPersepective, VRayLightMtl, VRayMtlWrapper, VRayOverrideMtl, VRay2SidedMtl, VRayBlendMtl, and VRayEdgesTex. In addition, there are tips and tricks accompanied with videos highlighting how to create VR interactive apps using Verge 3d; how to create verified views; and how to use plug-ins and scripts such as Project Manager, Auto grid pivot point, GarageFarm, Zmapping, gobotree, and VIShopper. Finally, users will have a rare insight into all functionalities of a VRay camera, VRayLight objects, Render settings, Frame buffer, Global switches, IPR options, Bucket and Progressive image samplers, Image filters, Global DMC, Color mapping, Brute force global illumination, Light cache, Color management, Distributed rendering, Render elements, VRay image file format, VFB History settings, VFB Lens Effects, LightMix, Film tonemap, Hue/Saturation, Lookup Table, and much more. Key Features This book deals with real projects/3d scenes and delivers up-to-date V-Ray 5 functionalities and production workflows using 3ds Max 2020 This book has professional supporting files ready to open and explore This book details the meticulous step-by-step processes of creating jaw-dropping 3d renderings This book includes unrivaled in-depth coverage of V-Ray 5 for 3ds Max 2020 This book includes 3d rendering methodologies currently used by key industry players Author Jamie Cardoso is a renowned author, reviewer, computer artist, and technologist, with years of experience in creating state-of-the-art 3d photomontages, verified views, VR, AR, XR, MR, Stereos, and photorealistic interior and exterior visualizations for architects and designers.

Increase the photorealism of your 3d visualizations with enhanced toolsets of V-Ray 5 for 3ds Max 2020. The book is filled with colorful illustrations depicting step-by-step tutorials about the process of creating a photorealistic day-and-night exterior scene. Each tutorial includes a 3d project scene to guide users through the production and the post-production processes. The book begins with an overview of the best techniques to approach clients via emails, calls, meetings, and via social media. There are also key insights into the best practices of handling projects, pricing, contracts, invoices, the pre-production, production, and the post-production, to name but a few. Throughout the book, users are taken through VRayMtl functions such as Diffuse, Roughness, Reflect, Glossiness, Metalness, Refract, Index of Refraction (IOR), Abbe number, Fog color, Translucency, BRDF, Coat, Sheen, and Bump. Also, users will learn how to use procedural maps such as VRayBitmap, VRayTriplanarTex, Bricks, Metals, Carpaint, VRayDisplacementMod, VRayUVWRandomizer, VRayMultiSubTex, VRayPointCloudColor, VRayDirt, VRayAerialPersepective, VRayLightMtl, VRayMtlWrapper, VRayOverrideMtl, VRay2SidedMtl, VRayBlendMtl, and VRayEdgesTex. In addition, there are tips and tricks accompanied with videos highlighting how to create VR interactive apps using Verge 3d; how to create verified views; and how to use plug-ins and scripts such as Project Manager, Auto grid pivot point, GarageFarm, Zmapping, gobotree, and VIShopper. Finally, users will have a rare insight into all functionalities of a VRay camera, VRayLight objects, Render settings, Frame buffer, Global switches, IPR options, Bucket and Progressive image samplers, Image filters, Global DMC, Color mapping, Brute force global illumination, Light cache, Color management, Distributed rendering, Render elements, VRay image file format, VFB History settings, VFB Lens Effects, LightMix, Film tonemap, Hue/Saturation, Lookup Table, and much more. Key Features This book deals with real projects/3d scenes and delivers up-to-date V-Ray 5 functionalities and production workflows using 3ds Max 2020 This book has professional supporting files ready to open and explore This book details the meticulous step-by-step processes of creating jaw-dropping 3d renderings This book includes unrivaled in-depth coverage of V-Ray 5 for 3ds Max 2020 This book includes 3d rendering methodologies currently used by key industry players Author Jamie Cardoso is a renowned author, reviewer, computer artist, and technologist, with years of experience in creating state-of-the-art 3d photomontages, verified views, VR, AR, XR, MR, Stereos, and photorealistic interior and exterior visualizations for architects and designers.

This book provides a comprehensive overview of potential opportunities and the business value position related to implementing physics-based real-time simulation to production. The objective of real-time simulation is to provide value for all three dimensions of sustainability: economic, social, and environmental. By reviewing actual industrial cases and presenting relevant academic research, the book examines the topic from four interrelated viewpoints: the industrial need for sustainable production, the development of game-like virtual environments, capturing customer value and enhancing the user experience, and finally, establishing business value. It offers a framework that will enable a rethink and shift in mindset to appreciate how real-time simulation can change the way products are manufactured and services are produced. This book will appeal to researchers and scholars in areas as diverse as strategic management, manufacturing and operations management, marketing, industrial economics, and product lifecycle management.

This book provides an in-depth analysis of investment problems pertaining to electric energy infrastructure, including both generation and transmission facilities. The analysis encompasses decision-making tools for expansion planning, reinforcement, and the selection and timing of investment options. In this regard, the book provides an up-to-date description of analytical tools to address challenging investment questions such as: How can we expand and/or reinforce our aging electricity transmission infrastructure? How can we expand the transmission network of a given region to integrate significant amounts of renewable generation? How can we expand generation facilities to achieve a low-carbon electricity production system? How can we expand the generation system while ensuring appropriate levels of flexibility to accommodate both demand-related and production-related uncertainties? How can we choose among alternative production facilities? What is the right time to invest in a given production or transmission facility? Written in a tutorial style and modular format, the book includes a wealth of illustrative examples to facilitate comprehension. It is intended for advanced undergraduate and graduate students in the fields of electric energy systems, operations research, management science, and economics. Practitioners in the electric energy sector will also benefit from the concepts and techniques presented here.