1. Discrete Differential Geometry: An Applied Introduction
Sunday
Full-Day, 8:30 am - 5:30 pm
Level: Advanced
Room 102
An introduction to fundamentals of discrete differential geometry (DDG), a nascent area of computational science with exciting simulation and geometry processing applications. Lectures discuss continuous and discrete geometry in the context of cloth, shell, and fluid simulation as well as remeshing and parameterization problems.
Prerequisites
Attendees should have a working knowledge of vector calculus and elementary linear algebra. Optional prerequisites: some lectures may also assume some familiarity with physical simulation, geometry processing, and triangle and tetrahedral meshes. Recommended but not required: a basic understanding of continuous local differential geometry and classical mechanics.
Intended Audience
Graduate students, researchers, and application developers who seek a unified understanding of the mathematics underlying common geometry-processing operations and how these fundamentals apply to problems such as Laplacian smoothing, surface fairing using prescribed curvature flow, remeshing, conformal parameterization, cloth/shell simulation, and fluid flow.
Co-Organizers
Eitan Grinspun
Columbia University
Mathieu Desbrun
California Institute of Technology
Lecturers
Konrad Polthier
Freie Universität Berlin
Peter Schröder
California Institute of Technology
Ari Stern
California Institute of Technology
Full-Day, 8:30 am - 5:30 pm
Level: Advanced
Room 102
An introduction to fundamentals of discrete differential geometry (DDG), a nascent area of computational science with exciting simulation and geometry processing applications. Lectures discuss continuous and discrete geometry in the context of cloth, shell, and fluid simulation as well as remeshing and parameterization problems.
Prerequisites
Attendees should have a working knowledge of vector calculus and elementary linear algebra. Optional prerequisites: some lectures may also assume some familiarity with physical simulation, geometry processing, and triangle and tetrahedral meshes. Recommended but not required: a basic understanding of continuous local differential geometry and classical mechanics.
Intended Audience
Graduate students, researchers, and application developers who seek a unified understanding of the mathematics underlying common geometry-processing operations and how these fundamentals apply to problems such as Laplacian smoothing, surface fairing using prescribed curvature flow, remeshing, conformal parameterization, cloth/shell simulation, and fluid flow.
Co-Organizers
Eitan Grinspun
Columbia University
Mathieu Desbrun
California Institute of Technology
Lecturers
Konrad Polthier
Freie Universität Berlin
Peter Schröder
California Institute of Technology
Ari Stern
California Institute of Technology
