Automatic differentiation of programs with discrete randomness
Automatic differentiation (AD), a technique for constructing new programs which compute
the derivative of an original program, has become ubiquitous throughout scientific …
the derivative of an original program, has become ubiquitous throughout scientific …
Comparing Bayes factors and hierarchical inference for testing general relativity with gravitational waves
In the context of testing general relativity with gravitational waves, constraints obtained with
multiple events are typically combined either through a hierarchical formalism or though a …
multiple events are typically combined either through a hierarchical formalism or though a …
Long solution times or low solution quality: On trade-offs in choosing a power flow formulation for the Optimal Power Shutoff problem
Abstract The Optimal Power Shutoff (OPS) problem is an optimization problem that makes
power line de-energization decisions in order to reduce the risk of igniting a wildfire, while …
power line de-energization decisions in order to reduce the risk of igniting a wildfire, while …
Twist-free axisymmetric critical collapse of a complex scalar field
K Marouda, D Cors, HR Rüter, F Atteneder, D Hilditch - Physical Review D, 2024 - APS
It has been three decades since the ground-breaking work by Choptuik on critical
phenomena in gravitational collapse involving a real massless scalar field minimally …
phenomena in gravitational collapse involving a real massless scalar field minimally …
The barriers to sustainable risk transfer in the cyber-insurance market
HRK Skeoch, C Ioannidis - Journal of Cybersecurity, 2024 - academic.oup.com
Efficient risk transfer is an important condition for ensuring the sustainability of a market
according to the established economics literature. In an inefficient market, significant …
according to the established economics literature. In an inefficient market, significant …
[HTML][HTML] A Modular, Extensible, and Modelica-Standard-Compliant OpenModelica Compiler Framework in Julia Supporting Structural Variability
Nowadays, industrial products are getting increasingly complex, and time-to-market is
significantly shorter. Modeling and simulation tools for cyber-physical systems need to keep …
significantly shorter. Modeling and simulation tools for cyber-physical systems need to keep …
Stability of step size control based on a posteriori error estimates
H Ranocha, J Giesselmann - arXiv preprint arXiv:2307.12677, 2023 - arxiv.org
A posteriori error estimates based on residuals can be used for reliable error control of
numerical methods. Here, we consider them in the context of ordinary differential equations …
numerical methods. Here, we consider them in the context of ordinary differential equations …
Total energy beyond GW: exact results and guidelines for approximations
The total energy and electron addition and removal spectra can, in principle, be obtained
exactly from the one-body Green's function (GF). In practice, the GF is obtained from an …
exactly from the one-body Green's function (GF). In practice, the GF is obtained from an …
Machine learning emulation of high resolution inundation maps
E Briseid Storrøsten… - Geophysical Journal …, 2024 - academic.oup.com
Estimating coastal tsunami impact for early-warning or long-term hazard analysis requires
the calculation of inundation metrics such as flow-depth or momentum flux. Both applications …
the calculation of inundation metrics such as flow-depth or momentum flux. Both applications …
Synonymous rpsH variants: the common denominator in Escherichia coli adapting to ionizing radiation
K Stemwedel, N Haase, S Christ… - NAR Genomics and …, 2024 - academic.oup.com
Ionizing radiation (IR) in high doses is generally lethal to most organisms. Investigating
mechanisms of radiation resistance is crucial for gaining insights into the underlying cellular …
mechanisms of radiation resistance is crucial for gaining insights into the underlying cellular …