Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Srabasti Dutta"'
Publikováno v:
IEEE BigData
Through this preliminary work, we are trying to understand the human's sentiment regarding climate change. We collect tweets containing words like climate, nature and environment. We analyze the data to find out if there is any correlation between we
Autor:
David H. Sharp, Hyeonseong Jin, Yongmin Zhang, Srabasti Dutta, John W. Grove, M. Zhao, Taewon Lee, Kenny Q. Ye, Xiaolin Li, James Glimm, E. George, Y. Yu
Publikováno v:
Nonlinear Analysis: Theory, Methods & Applications. 63:644-652
The interaction of shock waves with spherical and perturbed spherical layers provides an interesting and important class of problems. We present recent results for these and related planar geometry problems. We address the following issues: 1. The ac
Publikováno v:
Mathematics and Computers in Simulation. 65:417-430
Front tracking has proved to be an accurate and efficient algorithm in the sense that tracking the interface can reduce the error significantly [9,10]. By applying this algorithm, we conduct numerical simulations of Richtmyer-Meshkov (RM) instabiliti
Publikováno v:
Journal of Statistical Physics. 107:241-260
In this paper, we present a numerical study of the axisymmetric Richtmyer–Meshkov instability in converging spherical geometry by the front tracking method for the first time. The front tracking method has been successfully used in solving fluid in
Publikováno v:
3rd IEEE International Congress on Big Data, BigData Congress 2014
BigData Congress
BigData Congress
Students drop classes for many reasons. Some are personal such as medical conditions, family issues, or financial difficulties. Others are course specific such as course contents, instructor, or classmates. In either way, class drop is a serious prob
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d6b0afc927b2d00c8ca5a1b7591dff09
https://strathprints.strath.ac.uk/65334/1/Byan_etal_BigData_2014_Understanding_student_behaviors_in_online_classrom.pdf
https://strathprints.strath.ac.uk/65334/1/Byan_etal_BigData_2014_Understanding_student_behaviors_in_online_classrom.pdf
Publikováno v:
Computational Science and Its Applications — ICCSA 2003 ISBN: 9783540401612
ICCSA (2)
ICCSA (2)
Numerical simulations of a spherical shock refraction have been successfully conducted by a front tracking method. We demonstrate the efficiency of the front tracking algorithm by comparing the L1-error of spherical simulations by tracked and untrack
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b5d6e3c7663590092f6629205e0b32fb
https://doi.org/10.1007/3-540-44843-8_85
https://doi.org/10.1007/3-540-44843-8_85