Home | Amazing | Today | Tags | Publishers | Years | Account | Search 
Visualization Handbook, First Edition

The field of visualization is focused on creating images that convey salient information about
underlying data and processes. In the past three decades, the field has seen unprecedented
growth in computational and acquisition technologies,
which has resulted in an increased ability both to sense the physical world with
very detailed precision and to model and simulate complex physical phenomena. Given these
capabilities, visualization plays a crucial enabling role in our ability to comprehend such large
and complex data-data that, in two, three, or more dimensions, conveys insight into such diverse
applications as medical processes, earth and space sciences, complex flow of fluids, and
biological processes, among many other areas.

With this Handbook, we have tried to compile a thorough overview of our young field by
presenting the basic concepts of visualization, providing a snapshot of current visualization
software systems, and examining research topics that are advancing the field.

We have organized the book into parts to reflect a taxonomy we use in our teaching to
explain scientific visualization: basic visualization algorithms, scalar data isosurface methods,
scalar data volume rendering, vector data, tensor data, geometric modeling, virtual environments,
large-scale data, visualization software and frameworks, perceptual issues, and
selected application topics including information visualization. While, as we say, this taxonomy
represents topics covered in a standard visualization course, this Handbook is not
meant to serve as a textbook. Rather, it is meant to reach a broad audience, including
not only the expert in visualization seeking advanced methods to solve a particular problem
but also the novice looking for general background information on visualization topics.
(HTML tags aren't allowed.)

Reliability, Maintainability and Risk
Reliability, Maintainability and Risk
This 6th edition incorporates brand new material on the accuracy of reliability prediction and common cause failure based on the author's PhD research work. David J. Smith approaches these subjects from an entirely original and unique viewpoint, emphasising that the need to demonstrate that safety-related systems have been assessed against target...
Polyadenylation: Methods and Protocols (Methods in Molecular Biology)
Polyadenylation: Methods and Protocols (Methods in Molecular Biology)

In Polyadenylation: Methods and Protocols, expert researchers in the field detail many of the protocols which are now commonly used to study polyadenylation. Focusing on recent advances in the fast-moving polyadenylation filed, that has recently been recognized as a key contributor to the complexity of mammalian gene expression....

Game Development Patterns and Best Practices: Better games, less hassle
Game Development Patterns and Best Practices: Better games, less hassle

Utilize proven solutions to solve common problems in game development

About This Book

  • Untangle your game development workflow, make cleaner code, and create structurally solid games
  • Implement key programming patterns that will enable you to make efficient AI and remove duplication
  • ...

Fundamental Formulas of Physics, Vol. 2
Fundamental Formulas of Physics, Vol. 2
Volume 2 of a two-volume set, this important work covers basic mathematical formulas, statistics, nomograms, physical constants, classical mechanics, special and general theories of relativity, hydrodynamics and aerodynamics, boundary value problems in mathematical physics, heat and thermodynamics, statistical mechanics, kinetic theory of...
St. James Encyclopedia of Labor History Worldwide (Two Vol. Set)
St. James Encyclopedia of Labor History Worldwide (Two Vol. Set)
ARBA : "This is a well-prepared reference to events in labor history, mostly in the United States and Europe between the years 1800 and 2000...clear and detailed enough to be of help to the student of labor history...this encyclopedia will be most welcome for the excellent coverage and clear presentation of the selected events, and...
Integration of World Knowledge for Natural Language Understanding (Atlantis Thinking Machines)
Integration of World Knowledge for Natural Language Understanding (Atlantis Thinking Machines)

This book concerns non-linguistic knowledge required to perform computational natural language understanding (NLU). The main objective of the book is to show that inference-based NLU has the potential for practical large scale applications. First, an introduction to research areas relevant for NLU is given. We review approaches to linguistic...

©2020 LearnIT (support@pdfchm.net) - Privacy Policy