Zobrazeno 1 - 10
of 30
pro vyhledávání: '"Choi, Sou-Cheng T."'
Autor:
Choi, Sou-Cheng T., Ding, Yuhan, Hickernell, Fred J., Rathinavel, Jagadeeswaran, Sorokin, Aleksei G.
Quasi-Monte Carlo (QMC) methods have developed over several decades. With the explosion in computational science, there is a need for great software that implements QMC algorithms. We summarize the QMC software that has been developed to date, propos
Externí odkaz:
http://arxiv.org/abs/2311.06162
Autor:
Choi, Sou-Cheng T., Hickernell, Fred J., Jagadeeswaran, R., McCourt, Michael J., Sorokin, Aleksei G.
Practitioners wishing to experience the efficiency gains from using low discrepancy sequences need correct, robust, well-written software. This article, based on our MCQMC 2020 tutorial, describes some of the better quasi-Monte Carlo (QMC) software a
Externí odkaz:
http://arxiv.org/abs/2102.07833
Autor:
Wulfe, Blake, Chintakindi, Sunil, Choi, Sou-Cheng T., Hartong-Redden, Rory, Kodali, Anuradha, Kochenderfer, Mykel J.
Advanced collision avoidance and driver hand-off systems can benefit from the ability to accurately predict, in real time, the probability a vehicle will be involved in a collision within an intermediate horizon of 10 to 20 seconds. The rarity of col
Externí odkaz:
http://arxiv.org/abs/1802.01532
Publikováno v:
Journal of Complexity, 40, pp. 17-33, 2017
Most commonly used \emph{adaptive} algorithms for univariate real-valued function approximation and global minimization lack theoretical guarantees. Our new locally adaptive algorithms are guaranteed to provide answers that satisfy a user-specified a
Externí odkaz:
http://arxiv.org/abs/1606.02766
Report on the Third Workshop on Sustainable Software for Science: Practice and Experiences (WSSSPE3)
Autor:
Katz, Daniel S., Choi, Sou-Cheng T., Niemeyer, Kyle E., Hetherington, James, Löffler, Frank, Gunter, Dan, Idaszak, Ray, Brandt, Steven R., Miller, Mark A., Gesing, Sandra, Jones, Nick D., Weber, Nic, Marru, Suresh, Allen, Gabrielle, Penzenstadler, Birgit, Venters, Colin C., Davis, Ethan, Hwang, Lorraine, Todorov, Ilian, Patra, Abani, de Val-Borro, Miguel
This report records and discusses the Third Workshop on Sustainable Software for Science: Practice and Experiences (WSSSPE3). The report includes a description of the keynote presentation of the workshop, which served as an overview of sustainable sc
Externí odkaz:
http://arxiv.org/abs/1602.02296
Autor:
Choi, Sou-Cheng T.
This is a machine learning application paper involving big data. We present high-accuracy prediction methods of rare events in semi-structured machine log files, which are produced at high velocity and high volume by NORC's computer-assisted telephon
Externí odkaz:
http://arxiv.org/abs/1510.00772
Autor:
Katz, Daniel S., Choi, Sou-Cheng T., Wilkins-Diehr, Nancy, Hong, Neil Chue, Venters, Colin C., Howison, James, Seinstra, Frank, Jones, Matthew, Cranston, Karen, Clune, Thomas L., de Val-Borro, Miguel, Littauer, Richard
This technical report records and discusses the Second Workshop on Sustainable Software for Science: Practice and Experiences (WSSSPE2). The report includes a description of the alternative, experimental submission and review process, two workshop ke
Externí odkaz:
http://arxiv.org/abs/1507.01715
Autor:
Choi, Sou-Cheng T., Ding, Yuhan, Hickernell, Fred J., Jiang, Lan, Rugama, Lluís Antoni Jiménez, Tong, Xin, Zhang, Yizhi, Zhou, Xuan
Automatic and adaptive approximation, optimization, or integration of functions in a cone with guarantee of accuracy is a relatively new paradigm. Our purpose is to create an open-source MATLAB package, Guaranteed Automatic Integration Library (GAIL)
Externí odkaz:
http://arxiv.org/abs/1503.06544
Autor:
Katz, Daniel S., Choi, Sou-Cheng T., Lapp, Hilmar, Maheshwari, Ketan, Löffler, Frank, Turk, Matthew, Hanwell, Marcus D., Wilkins-Diehr, Nancy, Hetherington, James, Howison, James, Swenson, Shel, Allen, Gabrielle D., Elster, Anne C., Berriman, Bruce, Venters, Colin
Challenges related to development, deployment, and maintenance of reusable software for science are becoming a growing concern. Many scientists' research increasingly depends on the quality and availability of software upon which their works are buil
Externí odkaz:
http://arxiv.org/abs/1404.7414
We describe algorithm MINRES-QLP and its FORTRAN 90 implementation for solving symmetric or Hermitian linear systems or least-squares problems. If the system is singular, MINRES-QLP computes the unique minimum-length solution (also known as the pseud
Externí odkaz:
http://arxiv.org/abs/1301.2707