Mathematical Principles for Scientific Computing and Visualization
Regular price
€64.99
A01=Dianne Hansford
A01=Gerald Farin
advanced scientific visualization methods
Author_Dianne Hansford
Author_Gerald Farin
Barycentric Coordinates
Bivariate Functions
Category=PB
Category=UB
Contour Level
data fitting techniques
Data Set
Delaunay Mesh
Dense
DVR
eigenvalue computation
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Euler's Method
Euler’s Method
function
Heun's Method
Heun’s Method
Hidden Surface Removal
linear
Linear Space
map
marching
Marching Cubes
mesh
multivariate calculus
Numerical Error
numerical linear algebra
overdetermined
Overdetermined Linear System
Piecewise Linear
principal component analysis
Ray Tracing
RGB
RGB Color Model
RGB Model
scientific data analysis
Smooth Shading
space
system
Tetrahedral Mesh
triangle
Triangle Mesh
value
Volume Visualization
Voronoi Diagram
Young Man
Product details
- ISBN 9780367659363
- Weight: 550g
- Dimensions: 191 x 235mm
- Publication Date: 30 Sep 2020
- Publisher: Taylor & Francis Ltd
- Publication City/Country: GB
- Product Form: Paperback
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This non-traditional introduction to the mathematics of scientific computation describes the principles behind the major methods, from statistics, applied mathematics, scientific visualization, and elsewhere, in a way that is accessible to a large part of the scientific community. Introductory material includes computational basics, a review of coordinate systems, an introduction to facets (planes and triangle meshes) and an introduction to computer graphics. The scientific computing part of the book covers topics in numerical linear algebra (basics, solving linear system, eigen-problems, SVD, and PCA) and numerical calculus (basics, data fitting, dynamic processes, root finding, and multivariate functions). The visualization component of the book is separated into three parts: empirical data, scalar values over 2D data, and volumes.
Gerald Farin, Dianne Hansford
