Chee Yap
Affiliations: | New York University, New York, NY, United States |
Area:
Computer Science, MathematicsGoogle:
"Chee Yap"Children
Sign in to add traineeKenneth Been | grad student | 2002 | NYU |
Ting-jen Yen | grad student | 2003 | NYU |
Zilin Du | grad student | 2006 | NYU |
Vikram Sharma | grad student | 2007 | NYU |
Benjamin T. Galehouse | grad student | 2009 | NYU |
Long Lin | grad student | 2011 | NYU |
Jihun Yu | grad student | 2011 | NYU |
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Publications
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Zhou B, Chiang Y, Yap C. (2021) Soft subdivision motion planning for complex planar robots Computational Geometry. 92: 101683 |
Huang B, Yap C. (2020) An Algorithmic approach to small limit cycles of nonlinear differential systems: The averaging method revisited Journal of Symbolic Computation |
Din MSE, Yap C. (2020) Special Issue on Symbolic and Algebraic Computation: ISSAC 2017 Journal of Symbolic Computation. 98: 1-2 |
Imbach R, Pouget M, Yap C. (2020) Clustering Complex Zeros of Triangular Systems of Polynomials Mathematics in Computer Science. 1-22 |
Becker R, Sagraloff M, Sharma V, et al. (2018) A near-optimal subdivision algorithm for complex root isolation based on the Pellet test and Newton iteration Journal of Symbolic Computation. 86: 51-96 |
Chattopadhyay A, Vegter G, Yap CK. (2017) Certified computation of planar Morse–Smale complexes Journal of Symbolic Computation. 78: 3-40 |
Becker R, Sagraloff M, Sharma V, et al. (2016) Complexity analysis of root clustering for a complex polynomial Proceedings of the International Symposium On Symbolic and Algebraic Computation, Issac. 20: 71-78 |
Wang C, Chiang YJ, Yap C. (2015) On soft predicates in subdivision motion planning Computational Geometry: Theory and Applications. 48: 589-605 |
Yap CK. (2015) Soft subdivision search in motion planning, II: Axiomatics Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 9130: 7-22 |
Bennett H, Yap C. (2014) Amortized analysis of smooth quadtrees in all dimensions Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 8503: 38-49 |