University Education Uses of Visualization in Scientific Computing

University Education Uses of Visualization in Scientific Computing
Author: Stephen D. Franklin
Publisher: North Holland
Total Pages: 232
Release: 1994
Genre: Computer graphics
ISBN:

These papers represent an amalgamation of cross-disciplinary expertise, spanning computer science and computational sciences. The volume aims to bridge the gap between the research laboratory and the university classroom in this area and so stimulate an accelerated development.

Visualization in Scientific Computing

Visualization in Scientific Computing
Author: Gregory M. Nielson
Publisher:
Total Pages: 314
Release: 1990
Genre: Computers
ISBN:

The purpose of this text is to provide a reference source to scientists, engineers, and students who are new to scientific visualization or who are interested in expanding their knowledge in this subject. If used properly, it can also serve as an introduction and tutorial.

Visualization in Science Education

Visualization in Science Education
Author: John K. Gilbert
Publisher: Springer Science & Business Media
Total Pages: 375
Release: 2006-03-30
Genre: Science
ISBN: 1402036132

This book addresses key issues concerning visualization in the teaching and learning of science at any level in educational systems. It is the first book specifically on visualization in science education. The book draws on the insights from cognitive psychology, science, and education, by experts from five countries. It unites these with the practice of science education, particularly the ever-increasing use of computer-managed modelling packages.

Visualization in Scientific Computing

Visualization in Scientific Computing
Author: Michel Grave
Publisher: Springer Science & Business Media
Total Pages: 222
Release: 2012-12-06
Genre: Computers
ISBN: 3642779026

Visualization in scientific computing is getting more and more attention from many people. Especially in relation with the fast increase of com puting power, graphic tools are required in many cases for interpreting and presenting the results of various simulations, or for analyzing physical phenomena. The Eurographics Working Group on Visualization in Scientific Com puting has therefore organized a first workshop at Electricite de France (Clamart) in cooperation with ONERA (Chatillon). A wide range of pa pers were selected in order to cover most of the topics of interest for the members of the group, for this first edition, and 26 of them were presented in two days. Subsequently 18 papers were selected for this volume. 1'he presentations were organized in eight small sessions, in addition to discussions in small subgroups. The first two sessions were dedicated to the specific needs for visualization in computational sciences: the need for graphics support in large computing centres and high performance net works, needs of research and education in universities and academic cen tres, and the need for effective and efficient ways of integrating numerical computations or experimental data and graphics. Three of those papers are in Part I of this book. The third session discussed the importance and difficulties of using stan dards in visualization software, and was related to the fourth session where some reference models and distributed graphics systems were discussed. Part II has five papers from these sessions.

Visualization: Theory and Practice in Science Education

Visualization: Theory and Practice in Science Education
Author: John K. Gilbert
Publisher: Springer Science & Business Media
Total Pages: 326
Release: 2007-12-05
Genre: Education
ISBN: 1402052677

External representations (pictures, diagrams, graphs, concrete models) have always been valuable tools for the science teacher. This book brings together the insights of practicing scientists, science education researchers, computer specialists, and cognitive scientists, to produce a coherent overview. It links presentations about cognitive theory, its implications for science curriculum design, and for learning and teaching in classrooms and laboratories.

Interactive Learning Through Visualization

Interactive Learning Through Visualization
Author: Steve Cunningham
Publisher: Springer Science & Business Media
Total Pages: 288
Release: 2012-12-06
Genre: Computers
ISBN: 3642772633

This book contains a selection of papers presented at the Computer Graphics and Education '91 Conference, held from 4th to 6th Apri11991, in Begur, Spain. The conference was organised under the auspices of the International Federation for Information Processing (IPIP) Working Group 5.10 on Computer Graphics. The goal of the organisers was to take a forward look at the impact on education of anticipated developments in graphics and related technologies, such as multimedia, in the next five years. We felt that at a time when many educational establishments are facing financial stringency and when major changes are taking place in patterns of education and training, this could be valuable for both educators and companies developing the technology: for educators, because they are often too bogged down in day-to-day problems to undertake adequate forward planning, and for companies, to see some of the problems faced by educators and to see what their future requirements might be.

Advances in Scientific Visualization

Advances in Scientific Visualization
Author: Frits H. Post
Publisher: Springer Science & Business Media
Total Pages: 220
Release: 2012-12-06
Genre: Computers
ISBN: 3642773346

Scientific visualization is a new and rapidly growing area in which efforts from computer graphics research and many scientific and engineering disciplines are integrated. Its aim is to enhance interpretation and understanding by scientists of large amounts of data from measurements or complex computer simulations, using computer generated images and animation sequences. It exploits the power of human visual perception to identify trends and structures, and recognize shapes and patterns. Development of new numerical simulation methods in many areas increasingly depends on visualization as an effective way to obtain an intuitive understanding of a problem. This book contains a selection of papers presented at the second Eurographics workshop on Visualization in Scientific Computing, held in Delft, the Netherlands, in April 1991. Theissues addressed are visualization tool and system design, new presentation techniques for volume data and vector fields, and numerous case studies in scientific visualization. Application areas include geology, medicine, fluid dynamics, molecular science, and environmental protection. The book will interest researchers and students in computer graphics and scientists from many disciplines interested in recent results in visual data analysis and presentation. It reflects the state of the art in visualization research and shows a wide variety of experimental systems and imaginative applications.

Mathematical Foundations of Scientific Visualization, Computer Graphics, and Massive Data Exploration

Mathematical Foundations of Scientific Visualization, Computer Graphics, and Massive Data Exploration
Author: Torsten Möller
Publisher: Springer Science & Business Media
Total Pages: 348
Release: 2009-06-12
Genre: Computers
ISBN: 3540499261

The goal of visualization is the accurate, interactive, and intuitive presentation of data. Complex numerical simulations, high-resolution imaging devices and incre- ingly common environment-embedded sensors are the primary generators of m- sive data sets. Being able to derive scienti?c insight from data increasingly depends on having mathematical and perceptual models to provide the necessary foundation for effective data analysis and comprehension. The peer-reviewed state-of-the-art research papers included in this book focus on continuous data models, such as is common in medical imaging or computational modeling. From the viewpoint of a visualization scientist, we typically collaborate with an application scientist or engineer who needs to visually explore or study an object which is given by a set of sample points, which originally may or may not have been connected by a mesh. At some point, one generally employs low-order piecewise polynomial approximationsof an object, using one or several dependent functions. In order to have an understanding of a higher-dimensional geometrical “object” or function, ef?cient algorithms supporting real-time analysis and manipulation (- tation, zooming) are needed. Often, the data represents 3D or even time-varying 3D phenomena (such as medical data), and the access to different layers (slices) and structures (the underlying topology) comprising such data is needed.