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楼主: Callow
发表于 2025-3-26 23:58:26 | 显示全部楼层
Guide to Dynamic Simulations of Rigid Bodies and Particle Systems
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发表于 2025-3-27 07:09:26 | 显示全部楼层
Maan B. Rokaya,Binu Timsina,Pavel Kindlmanng-error problems found when combining rotation matrices. Also, the interpolation between two quaternions representing the orientation of an object is easier than using rotation matrices. This is especially useful when backtracking in time the object’s motion to determine the instant just before a collision.
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Table- and View-Level Privilegeson engine. The memory efficient algorithm presented in this book is capable of handling grid-resolutions for the signed fields on the order of thousands of cells along each coordinate axis. A collision detection and response algorithm based on signed distance fields is also discussed.
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Appendix A: Useful 3D Geometric Constructionsthe particle–particle, particle–rigid body and rigid body–rigid body collision-detection algorithms. It also discusses how the tangent plane of a collision or contact can be determined given the collision or contact point and normal vector.
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Appendix C: Quaternionsg-error problems found when combining rotation matrices. Also, the interpolation between two quaternions representing the orientation of an object is easier than using rotation matrices. This is especially useful when backtracking in time the object’s motion to determine the instant just before a collision.
发表于 2025-3-28 00:58:00 | 显示全部楼层
Appendix G: Constructing Signed Distance Fields for 3D Polyhedraon engine. The memory efficient algorithm presented in this book is capable of handling grid-resolutions for the signed fields on the order of thousands of cells along each coordinate axis. A collision detection and response algorithm based on signed distance fields is also discussed.
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https://doi.org/10.1007/978-90-368-1726-4This Appendix discusses some of the most common methods used to integrate the differential equations of motion in dynamic simulations. These methods range from simple explicit-Euler, to more sophisticated Runge–Kutta methods, with adaptive time step sizing.
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