Zobrazeno 1 - 10
of 121
pro vyhledávání: '"Simon Mak"'
Publikováno v:
Technometrics. 64:513-523
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d559cea26d9c99d42d2e57cf07471535
https://doi.org/10.1080/00401706.2022.2125443
https://doi.org/10.1080/00401706.2022.2125443
Publikováno v:
SIAM Journal on Scientific Computing. 44:A1428-A1449
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::03da70762fd37a1526fccb3fd77a1f1d
https://doi.org/10.1137/21m1432739
https://doi.org/10.1137/21m1432739
Publikováno v:
Technometrics. 65:44-56
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e153e31594f81554dc9d57f8dd48a726
https://doi.org/10.1080/00401706.2022.2054862
https://doi.org/10.1080/00401706.2022.2054862
Autor:
Sai Ranjeet Narayanan, Yi Ji, Harsh Darshan Sapra, Suo Yang, Simon Mak, Zongxuan Sun, Sage Kokjohn, Kenneth Kim, Chol Bum Kweon
Publikováno v:
AIAA SCITECH 2023 Forum.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::441108596c047aaabaf85f4474acc3d9
https://doi.org/10.2514/6.2023-1283.c1
https://doi.org/10.2514/6.2023-1283.c1
Autor:
Sai Ranjeet Narayanan, Yi Ji, Harsh Darshan Sapra, Suo Yang, Simon Mak, Zongxuan Sun, Sage Kokjohn, Kenneth Kim, Chol Bum Kweon
Publikováno v:
AIAA SCITECH 2023 Forum.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::195e052f576752ff8c88a6dc597eacea
https://doi.org/10.2514/6.2023-1283
https://doi.org/10.2514/6.2023-1283
Publikováno v:
AIAA Journal. 59:3291-3303
In the present study, we propose a new surrogate model [common kernel-smoothed proper orthogonal decomposition (CKSPOD)] to emulate spatiotemporally evolving flows. The model integrates and extends...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::53f56668b7d724507bad482bd688e2d3
https://doi.org/10.2514/1.j060574
https://doi.org/10.2514/1.j060574
Autor:
V. Roshan Joseph, Simon Mak
Publikováno v:
Statistical Analysis and Data Mining: The ASA Data Science Journal. 14:217-229
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7797bcf55d5683bc0d890ceb939b9f3e
https://doi.org/10.1002/sam.11508
https://doi.org/10.1002/sam.11508
Autor:
Simon Mak, C. F. Jeff Wu
Publikováno v:
Wiley StatsRef: Statistics Reference Online. :1-7
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1f60eae78ef32e4672a023a1501b2a87
https://doi.org/10.1002/9781118445112.stat08267
https://doi.org/10.1002/9781118445112.stat08267
Publikováno v:
Technometrics. 63:384-395
Three-dimensional printed medical prototypes, which use synthetic metamaterials to mimic biological tissue, are becoming increasingly important in urgent surgical applications. However, the mimicki...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::adb56d89995873a7fed317bced33a78d
https://doi.org/10.1080/00401706.2020.1801255
https://doi.org/10.1080/00401706.2020.1801255
Monte Carlo methods are widely used for approximating complicated, multidimensional integrals for Bayesian inference. Population Monte Carlo (PMC) is an important class of Monte Carlo methods, which utilizes a population of proposals to generate weig
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ed2687a0e3c44dd54bfb79c619d72783
