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ECS 277: Advanced Visualization (Spring 2012, UC Davis). Instructor: Professor Bernd Hamann.
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Description
This course is concerned with methods for the approximation and interpolation of scientific data. The presented methods are of relevance especially for visualization-based data exploration and analysis.
Course content
- Lecture 01 – Introduction Unlimited
- Lecture 02 – Review of Essential Scalar Field Visualization Methods Unlimited
- Lecture 03 – Ray Casting Based on Higher-degree Polynomial Data Approximation Unlimited
- Lecture 04 – Ray Casting Based on Piecewise Trilinear and Tricubic Approximation Unlimited
- Lecture 05 – Review of Essential Vector/Flow Field Visualization Methods Unlimited
- Lecture 06 – Topological Flow Field Analysis/Visualization and Linear Vector Field Theory Unlimited
- Lecture 07 – Introduction to Scattered Data Approximation Unlimited
- Lecture 08 – Shepard’s and Hardy’s Multiquadric Methods for the Trivariate Case Unlimited
- Lecture 09 – Motivation for Triangulation-based Scattered Data Approximation Unlimited
- Lecture 10 – Curved Elements, Part 1 Unlimited
- Lecture 10 – Curved Elements, Part 2 Unlimited
- Lecture 11 – Data Approximation over Triangle Meshes Unlimited
- Lecture 12 – Cubic Clough-Tocher Split Scheme for Volumetric/Trivariate Case Unlimited
- Lecture 13 – Data Structure Requirements for Voronoi Diagrams Unlimited
- Lecture 14 – Doo-Sabin Subdivision Scheme Unlimited
- Lecture 15 – Sibson Interpolation for 3D/Volumetric Domains Unlimited
- Lecture 16 – Best Linear Spline Approximation in the Univariate Case Unlimited
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