SIMULATING DEFORMABLE OBJECTS FOR COMPUTER ANIMATION: A NUMERICAL PERSPECTIVE

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Abstract

We examine a variety of numerical methods that arise when considering dynamical systems in the context of physics-based simulations of deformable ob jects. Such problems arise in various applications, including animation, robotics, control and fabrication. The goals and merits of suitable numerical algorithms for these applications are different from those of typical numerical analysis research in dynamical systems. Here the mathematical model is not fixed a priori but must be adjusted as necessary to capture the desired behaviour, with an emphasis on effectively producing lively animations of ob jects with complex geometries. Results are often judged by how realistic they appear to observers (by the “eye-norm”) as well as by the efficacy of the numerical procedures employed. And yet, we show that with an adjusted view numerical analysis and applied mathematics can contribute significantly to the development of appropriate methods and their analysis in a variety of areas including finite element methods, stiff and highly oscillatory ODEs, model reduction, and constrained optimization.

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Ascher, U. M., Larionov, E., Sheen, S. H., & Pai, D. K. (2022). SIMULATING DEFORMABLE OBJECTS FOR COMPUTER ANIMATION: A NUMERICAL PERSPECTIVE. Journal of Computational Dynamics, 9(2), 47–68. https://doi.org/10.3934/jcd.2021021

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