Zobrazeno 1 - 10
of 76
pro vyhledávání: '"Jarvis, Tyler J."'
A central problem in data science is to use potentially noisy samples of an unknown function to predict function values for unseen inputs. In classical statistics, the predictive error is understood as a trade-off between the bias and the variance th
Externí odkaz:
http://arxiv.org/abs/2408.08294
Autor:
Parkinson, Erik, Wall, Kate, Slagle, Jane, Treuhaft, Daniel, de la Bruere, Xander, Goldrup, Samuel, Keith, Timothy, Call, Peter, Jarvis, Tyler J.
We present a new algorithm for finding isolated zeros of a system of real-valued functions in a bounded interval in $\mathbb{R}^n$. It uses the Chebyshev proxy method combined with a mixture of subdivision, reduction methods, and elimination checks t
Externí odkaz:
http://arxiv.org/abs/2401.02114
We discuss difficulties of evaluating partisan gerrymandering in the congressional districts in Utah and the failure of many common metrics in Utah. We explain why the Republican vote share in the least-Republican district (LRVS) is a good indicator
Externí odkaz:
http://arxiv.org/abs/2107.05515
Calculations of properties of materials require performing numerical integrals over the Brillouin zone (BZ). Integration points in density functional theory codes are uniformly spread over the BZ (despite integration error being concentrated in small
Externí odkaz:
http://arxiv.org/abs/2104.05856
Autor:
Parkinson, Suzanna, Ringer, Hayden, Wall, Kate, Parkinson, Erik, Erekson, Lukas, Christensen, Daniel, Jarvis, Tyler J.
We examine several of the normal-form multivariate polynomial rootfinding methods of Telen, Mourrain, and Van Barel and some variants of those methods. We analyze the performance of these variants in terms of their asymptotic temporal complexity as w
Externí odkaz:
http://arxiv.org/abs/2104.03526
Autor:
Parkinson, Erik, Wall, Kate, Slagle, Jane, Treuhaft, Daniel, de la Bruere, Xander, Goldrup, Samuel, Keith, Timothy, Call, Peter, Jarvis, Tyler J.
Publikováno v:
In Journal of Symbolic Computation May-June 2025 128
Due to the success of residual networks (resnets) and related architectures, shortcut connections have quickly become standard tools for building convolutional neural networks. The explanations in the literature for the apparent effectiveness of shor
Externí odkaz:
http://arxiv.org/abs/1806.00145
Autor:
Parkinson, Suzanna, Ringer, Hayden, Wall, Kate, Parkinson, Erik, Erekson, Lukas, Christensen, Daniel, Jarvis, Tyler J.
Publikováno v:
In Journal of Computational and Applied Mathematics September 2022 411
Autor:
Jarvis, Tyler J., Francis, Amanda
In this paper we describe some of the constructions of FJRW theory. We also briefly describe its relation to Saito-Givental theory via Landau-Ginzburg mirror symmetry and its relation to Gromov-Witten theory via the Landau-Ginzburg/Calabi-Yau corresp
Externí odkaz:
http://arxiv.org/abs/1503.01223