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Analysis of numerical methods for the simulation of deformable models

机译:变形模型仿真的数值方法分析

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Simulating deformable objects based on physical laws has become the most popular technique for modeling textiles, skin, or volumetric soft objects like human tissue. The physical model leads to an ordinary differential equation. Recently, several approaches to fast algorithms have been proposed.In this work, more profound numerical background about numerical stiffness is provided. Stiff equations impose stability restrictions on a numerical integrator. Some one-step and multistep methods with adequate stability properties are presented. For an efficient implementation, the inexact Newton method is discussed. Applications to 2D and 3D elasticity problems show that the discussed methods are faster and give higher-quality solutions than the commonly used linearized Euler method.
机译:基于物理定律模拟可变形对象已成为对纺织品,皮肤或诸如人体组织之类的体积软对象建模的最流行技术。物理模型导致一个常微分方程。最近,人们提出了几种快速算法的方法。在这项工作中,提供了关于数值刚度的更深刻的数值背景。刚性方程对数值积分器施加了稳定性限制。介绍了一些具有足够稳定性的单步和多步方法。为了有效地实现,讨论了不精确的牛顿法。在2D和3D弹性问题上的应用表明,与常用的线性化Euler方法相比,所讨论的方法速度更快并且提供了更高质量的解决方案。

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