COMP768 (259): Physically-Based Modeling, Simulation - PowerPoint PPT Presentation

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COMP768 (259): Physically-Based Modeling, Simulation

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Office Hours: TR 3:15pm-4:00pm. UNC Chapel Hill. M. C. Lin. Prerequisities ... Be aware with a collection of geometric algorithms for modeling contacts. ... – PowerPoint PPT presentation

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Title: COMP768 (259): Physically-Based Modeling, Simulation


1
COMP768 (259) Physically-Based Modeling,
Simulation Animation
  • Tues/Thur 200pm 315pm (SN 011)
  • http//www.cs.unc.edu/lin/COMP768/
  • Ming C. Lin
  • SN223, 962-1974
  • lin_at_cs.unc.edu
  • http//www.cs.unc.edu/lin
  • Office Hours TR 315pm-400pm

2
Prerequisities
  • COMP 662 (250) - Scientific Computing II
  • or
  • Math 661 (191) - Scientific Computing I
  • COMP 665 (235) - Images, Graphics Vision or
  • COMP 575 (136) - Elementary 3D Graphics

3
Textbook References
  • SIGGRAPH course notes
  • In-class handouts
  • Other research papers
  • More references (books, papers, pointers to other
    interesting resources) available at the course
    website

4
Course Overview
  • 3D Models Images -gt Rendering
  • (COMP 770/236 870/238)
  • Virtual Reality Interface (COMP 872/239)
  • Geometric Solid Modeling (COMP 767/258)
  • This course focuses on
  • MOVEMENTS making them move !

5
What Will We Be Doing
  • Geometry
  • Collision Detection
  • Computing Contact Manifolds
  • Mechanics
  • Particle Dynamics
  • Rigid Body Dynamics
  • Non-Rigid Body Dynamics
  • Fluid Dynamics
  • Numerical Computing
  • Initial Value Problems
  • Boundary Value Problems
  • Constraints Differential-Algebraic Equations

6
Possible Applications
  • Computer Animation
  • Virtual Environments
  • Rapid Prototyping
  • Haptic Rendering
  • Computer Game Dynamics
  • Robotics and Automation
  • Medical Simulation and Analysis

7
Goals
  • Be aware with a collection of geometric
    algorithms for modeling contacts.
  • Be knowledgeable with the following numerical
    methods for simulation initial value problems,
    constrained optimization, differential-algebraic
    equations, boundary value problems, etc
  • Be familiar with the following modeling paradigms
    of physical and biological systems particle
    dynamics, rigid body dynamics, flexible and
    deformable bodies
  • Be able to analyze the correctness and runtime
    performance of a given simulation method.
  • Be able to apply some techniques to research
    problems.

8
See Course Website
  • http//www.cs.unc.edu/lin/COMP768-S09
  • for more details
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