ACM SIGGRAPH Education Committee - Simulation

Physical Simulation Programming

wobbe — Fri, 06 Nov 2020 15:46:45 +0000

By:

Seth Holladay, Brigham Young University

This list is built to help those wanting to learn methods for programming simulation algorithms, leading into jobs or research areas making physical simulation tools.

Many CG effects are created with the help of physically-based simulation programs. There are several simulation methods, depending on the type of effect desired. For example, fluid simulations and cloth simulations are important ones in Computer Graphics and good places to start for understanding how simulation algorithms and approaches work. A knowledge of how to program these types of simulations provides a foundational understanding of how simulations work, allowing a student to adapt existing simulation tools or research deeper into improving simulation methods.

You can find the list here: Physical Simulation Programming

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An introduction to physics-based animation

wobbe — Mon, 13 Jul 2020 17:01:45 +0000

By:

Adam W. Bargteil, University of Maryland, Baltimore County, and Tamar Shinar, University of California, Riverside

Physics-based animation has emerged as a core area of computer graphics finding widespread application in the film and video game industries as well as in areas such as virtual surgery, virtual reality, and training simulations. This course introduces students and practitioners to fundamental concepts in physics-based animation, placing an emphasis on breadth of coverage and providing a foundation for pursuing more advanced topics and current research in the area. The course focuses on imparting practical knowledge and intuitive understanding rather than providing detailed derivations of the underlying mathematics. The course is suitable for someone with no background in physics-based animation---the only prerequisites are basic calculus, linear algebra, and introductory physics.

We begin with a simple, and complete, example of a mass-spring system, introducing the principles behind physics-based animation: mathematical modeling and numerical integration. From there, we systematically present the mathematical models commonly used in physics-based animation beginning with Newton's laws of motion and conservation of mass, momentum, and energy. We then describe the underlying physical and mathematical models for animating rigid bodies, soft bodies, and fluids. Then we describe how these continuous models are discretized in space and time, covering Lagrangian and Eulerian formulations, spatial discretizations and interpolation, and explicit and implicit time integration. In the final section, we discuss commonly used constraint formulations and solution methods.

This SIGGRAPH 2019 Course is available in several formats

SIGGRAPH University YouTube Channel
- Split screen Speaker + Slides: https://www.youtube.com/watch?v=b_WJ-HwalwU
- Slides + Audio - Part 1: https://www.youtube.com/watch?v=zjmiV1D_Kw8
- Slides + Audio - Part 2: https://www.youtube.com/watch?v=IIxXUpGSizY

ACM Digital Library
- https://dl.acm.org/doi/10.1145/3305366.3328050

Material posted in the ACM Digital Library, and may be under Copyright protection

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Designing a Massively Multiplayer Online Game as a Testbed for Social and Behavioral Model Research

Anonymous — Mon, 10 Sep 2012 02:04:09 +0000

By:

Michael Zyda¹, Peter Landwehr², Marc Spraragen¹, and Balakrishnan Ranganathan¹
¹University of Southern California, GamePipe Laboratory
²Carnegie Mellon University, CASOS Center

Massively Multiplayer Online Games (MMOGs), in their aspect as online communities, represent an exciting opportunity for studying social and behavioral models. For that purpose we have developed Cosmopolis, an MMOG designed to appeal to a wide variety of player types, and containing several key research-oriented features.

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ACM SIGGRAPH Education Committee - Simulation

Physical Simulation Programming

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An introduction to physics-based animation

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Designing a Massively Multiplayer Online Game as a Testbed for Social and Behavioral Model Research

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