Evaluation of a new method of fossil retrodeformation by algorithmic symmetrization: crania of papionins (Primates, Cercopithecidae) as a test case.

Autor: Melissa Tallman, Nina Amenta, Eric Delson, Stephen R Frost, Deboshmita Ghosh, Zachary S Klukkert, Andrea Morrow, Gary J Sawyer

Publikováno v: PLoS ONE, Vol 9, Iss 7, p e100833 (2014)

Diagenetic distortion can be a major obstacle to collecting quantitative shape data on paleontological specimens, especially for three-dimensional geometric morphometric analysis. Here we utilize the recently-published algorithmic symmetrization meth

Externí odkaz: https://doaj.org/article/b05e533ba38a42cc82395f54782387a3

Nudging consumers toward greener air travel by adding carbon to the equation in online flight search

Autor: Angela Sanguinetti, Nina Amenta

This study explores the potential to promote lower-emissions air travel by providing consumers with information about the carbon emissions of alternative flight choices in the context of online flight search and booking. We surveyed over 450 employee

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7aeb9220a69ea40f6c265a1ba0f2655c
https://escholarship.org/uc/item/70d421zg

Helly’s theorem: New variations and applications

Autor: Nina Amenta, Jesús De Loera, Pablo Soberón

Publikováno v: Algebraic and Geometric Methods in Discrete Mathematics. :55-95

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::26e28cc0eb15ad696a0a8a5b070b3f51
https://doi.org/10.1090/conm/685/13718

Dihedral deformation and rigidity

Autor: Nina Amenta, Carlos Rojas

Publikováno v: Computational Geometry. 90:101657

We consider defining the embedding of a triangle mesh into R 3 , up to translation, rotation, and scale, by its vector of dihedral angles. On the theoretical side, we show that locally the map from realizable vectors of dihedrals to mesh embeddings i

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::5bc9b570195118ed63b00e368167e29d
https://doi.org/10.1016/j.comgeo.2020.101657

GPU LSM: A Dynamic Dictionary Data Structure for the GPU

Autor: Nina Amenta, Martin Farach-Colton, Saman Ashkiani, Shengren Li, John D. Owens

Publikováno v: Ashkiani, Saman; Li, Shengren; Farach-Colton, Martin; Amenta, Nina; & Owens, John D. (2018). GPU LSM: A Dynamic Dictionary Data Structure for the GPU. 32nd IEEE International Parallel and Distributed Processing Symposium. UC Davis: College of Engineering. Retrieved from: http://www.escholarship.org/uc/item/65t741zg
IPDPS

We develop a dynamic dictionary data structure for the GPU, supporting fast insertions and deletions, based on the Log Structured Merge tree (LSM). Our implementation on an NVIDIA K40c GPU has an average update (insertion or deletion) rate of 225 M e

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8eefb6d1e84b4be9353095e003d599a3
http://arxiv.org/abs/1707.05354