Handbook of Solid Modeling - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Handbook of Solid Modeling write by Donald E. LaCourse. This book was released on 1995. Handbook of Solid Modeling available in PDF, EPUB and Kindle. A complete reference and working guide to this vitally important methodology, presenting valuable advice and insight from more than 30 of the top international design experts. Readers will find detailed information on the latest solids modeling concepts and techniques, hardware and software, data exchange, application, and trends in the field.
Handbook of Computer Aided Geometric Design
Handbook of Computer Aided Geometric Design - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Handbook of Computer Aided Geometric Design write by G. Farin. This book was released on 2002-08-13. Handbook of Computer Aided Geometric Design available in PDF, EPUB and Kindle. This book provides a comprehensive coverage of the fields Geometric Modeling, Computer-Aided Design, and Scientific Visualization, or Computer-Aided Geometric Design. Leading international experts have contributed, thus creating a one-of-a-kind collection of authoritative articles. There are chapters outlining basic theory in tutorial style, as well as application-oriented articles. Aspects which are covered include: Historical outline Curve and surface methods Scientific Visualization Implicit methods Reverse engineering. This book is meant to be a reference text for researchers in the field as well as an introduction to graduate students wishing to get some exposure to this subject.
A Beginner's Guide to 3D Modeling
A Beginner's Guide to 3D Modeling - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook A Beginner's Guide to 3D Modeling write by Cameron Coward. This book was released on 2019-06-11. A Beginner's Guide to 3D Modeling available in PDF, EPUB and Kindle. A Beginner’s Guide to 3D Modeling is a project-based, straightforward introduction to computer-aided design (CAD). You’ll learn how to use Autodesk Fusion 360, the world’s most powerful free CAD software, to model gadgets, 3D print your designs, and create realistic images just like an engineering professional—with no experience required! Hands-on modeling projects and step-by-step instructions throughout the book introduce fundamental 3D modeling concepts. As you work through the projects, you’ll master the basics of parametric modeling and learn how to create your own models, from simple shapes to multipart assemblies. Once you’ve mastered the basics, you’ll learn more advanced modeling concepts like sweeps, lofts, surfaces, and rendering, before pulling it all together to create a robotic arm. You’ll learn how to: • Design a moving robotic arm, a door hinge, a teapot, and a 20-sided die • Create professional technical drawings for manufacturing and patent applications • Model springs and other complex curves to create realistic designs • Use basic Fusion 360 tools like Extrude, Revolve, and Hole • Master advanced tools like Coil and Thread Whether you’re a maker, hobbyist, or artist, A Beginner’s Guide to 3D Modeling is certain to show you how to turn your ideas into professional models. Go ahead—dust off that 3D printer and feed it your amazing designs.
Handbook of Materials Modeling
Handbook of Materials Modeling - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Handbook of Materials Modeling write by Sidney Yip. This book was released on 2007-11-17. Handbook of Materials Modeling available in PDF, EPUB and Kindle. The first reference of its kind in the rapidly emerging field of computational approachs to materials research, this is a compendium of perspective-providing and topical articles written to inform students and non-specialists of the current status and capabilities of modelling and simulation. From the standpoint of methodology, the development follows a multiscale approach with emphasis on electronic-structure, atomistic, and mesoscale methods, as well as mathematical analysis and rate processes. Basic models are treated across traditional disciplines, not only in the discussion of methods but also in chapters on crystal defects, microstructure, fluids, polymers and soft matter. Written by authors who are actively participating in the current development, this collection of 150 articles has the breadth and depth to be a major contributor toward defining the field of computational materials. In addition, there are 40 commentaries by highly respected researchers, presenting various views that should interest the future generations of the community. Subject Editors: Martin Bazant, MIT; Bruce Boghosian, Tufts University; Richard Catlow, Royal Institution; Long-Qing Chen, Pennsylvania State University; William Curtin, Brown University; Tomas Diaz de la Rubia, Lawrence Livermore National Laboratory; Nicolas Hadjiconstantinou, MIT; Mark F. Horstemeyer, Mississippi State University; Efthimios Kaxiras, Harvard University; L. Mahadevan, Harvard University; Dimitrios Maroudas, University of Massachusetts; Nicola Marzari, MIT; Horia Metiu, University of California Santa Barbara; Gregory C. Rutledge, MIT; David J. Srolovitz, Princeton University; Bernhardt L. Trout, MIT; Dieter Wolf, Argonne National Laboratory.
Handbook of Mathematical Models in Computer Vision
Handbook of Mathematical Models in Computer Vision - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Handbook of Mathematical Models in Computer Vision write by Nikos Paragios. This book was released on 2006-01-16. Handbook of Mathematical Models in Computer Vision available in PDF, EPUB and Kindle. Abstract Biological vision is a rather fascinating domain of research. Scientists of various origins like biology, medicine, neurophysiology, engineering, math ematics, etc. aim to understand the processes leading to visual perception process and at reproducing such systems. Understanding the environment is most of the time done through visual perception which appears to be one of the most fundamental sensory abilities in humans and therefore a significant amount of research effort has been dedicated towards modelling and repro ducing human visual abilities. Mathematical methods play a central role in this endeavour. Introduction David Marr's theory v^as a pioneering step tov^ards understanding visual percep tion. In his view human vision was based on a complete surface reconstruction of the environment that was then used to address visual subtasks. This approach was proven to be insufficient by neuro-biologists and complementary ideas from statistical pattern recognition and artificial intelligence were introduced to bet ter address the visual perception problem. In this framework visual perception is represented by a set of actions and rules connecting these actions. The emerg ing concept of active vision consists of a selective visual perception paradigm that is basically equivalent to recovering from the environment the minimal piece information required to address a particular task of interest.
