Wonjoon Cho
Massachusetts Institute of Technology
16 Papers
267 Citations
Wonjoon Cho is an academic researcher from Massachusetts Institute of Technology. The author has contributed to research in topics: Solid modeling & Bowyer–Watson algorithm. The author has an hindex of 10, co-authored 16 publications.
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Papers
Methods for feature-based design of heterogeneous solids
Hongye Liu,Takashi Maekawa,Takashi Maekawa,Nicholas M. Patrikalakis,Emanuel M. Sachs,Wonjoon Cho +5 more
TL;DR: A parametric and feature-based methodology for the design of solids with local composition control (LCC) that allows the designer to simultaneously edit geometry and composition by varying parameters until a satisfactory result is attained.
88
Efficient and reliable methods for rounded-interval arithmetic
Stephen Abrams,Wonjoon Cho,Chun-Yi Hu,Takashi Maekawa,Nicholas M. Patrikalakis,Evan C. Sherbrooke,Xiuzi Ye +6 more
TL;DR: An efficient and reliable method for computing the unit-in-the-last-place (ulp) of a double-precision floating-point number, taking advantage of the standard binary representation for floatingpoint numbers defined by IEEE Std 754-1985.
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Computation of Self-Intersections of Offsets of Bézier Surface Patches
TL;DR: The problem of computing starting points for tracing self-intersection curves of offsets is formulated in terms of a system of nonlinear polynomial equations and solved robustly by the interval projected polyhedron algorithm.
37
Topologically reliable approximation of composite Bézier curves
TL;DR: An efficient method of approximating a set of mutually nonintersecting simple composite planar and space Bezier curves within a prescribed tolerance using piecewise linear segments and ensuring the existence of a homeomorphism between the piecewiselinear approximating segments and the actual nonlinear curves is presented.
33
The digital ocean
Nicholas M. Patrikalakis,Stephen Abrams,James G. Bellingham,Wonjoon Cho,K.P. Mihanetzis,Allan R. Robinson,Henrik Schmidt,P.C.H. Wariyapola +7 more
- 19 Jun 2000
TL;DR: A knowledge network of distributed heterogeneous data and software resources for multidisciplinary ocean research is described within which advanced modeling, observation tools and field estimation methods are brought together.