Results 61 to 70 of about 12,127 (168)
Deciphering the performance of different surface models for corneal topography
Abstract Purpose To study the performance of different corneal surface models to be used for ray tracing. Models based on geometric surfaces and polynomial fits were compared and the differences discussed. Methods For this simulation study, five characteristic generic surface configurations were generated: (A) perfect biconic, (B) decentred biconic ...
Achim Langenbucher +4 more
wiley +1 more source
Surface and Subsurface Biogeochemical Impacts of the 2019 Northeast Pacific Marine Heatwave
Abstract Following the highly impactful 2013–2016 Marine Heatwave (MHW), another MHW occurred in the Northeast Pacific during summer 2019. While the physical drivers of this event are well described, its biogeochemical impacts remain poorly understood. We use Ocetrac, a Python package that tracks spatiotemporal extreme events, to identify physical and ...
C. Kohlman +7 more
wiley +1 more source
Abstract A record‐breaking heatwave swept North China in the summer of 2023, with a regional average of daily maximum temperature exceeding 35°C on June 23, which was the hottest day since 1959. We use the dynamical adjustment approach to assess the contributions of atmospheric circulation and Soil moisture (SM) to this heatwave and find that they ...
Kexin Gui, Tianjun Zhou
wiley +1 more source
Efficient tomography with unknown detectors
We compare the two main techniques used for estimating the state of a physical system from unknown measurements: standard detector tomography and data-pattern tomography.
Hradil, Z. +4 more
core +1 more source
Basis function compression for field probe monitoring
Abstract Purpose Field monitoring using field probes allows for accurate measurement of magnetic field perturbations, such as from eddy currents, during MRI scanning. However, errors may result when the spatial variation of the fields is not well‐described by the conventionally used spherical harmonics model that has the maximum order constrained by ...
Paul I. Dubovan +7 more
wiley +1 more source
Reservoir computing with optical devices offers an energy‐efficient approach for time‐series forecasting. For quantum‐dot lasers with optical self‐feedback, the scattering timescale R into the quantum‐dot levels changes the predictive performance of the reservoir computer.
Huifang Dong +2 more
wiley +1 more source
OCReP: An Optimally Conditioned Regularization for Pseudoinversion Based Neural Training
In this paper we consider the training of single hidden layer neural networks by pseudoinversion, which, in spite of its popularity, is sometimes affected by numerical instability issues.
Cancelliere, Rossella +3 more
core +1 more source
ABSTRACT In this paper, we propose a new parametric family of iterative schemes to compute the inverse of a complex nonsingular matrix. It is shown that the members of this family have at least a fourth order of convergence. A particular element of the class is extended to approximate the Moore–Penrose inverse of rectangular complex matrices, keeping ...
Alicia Cordero +3 more
wiley +1 more source
In this paper we study the monotonicity and limit properties at infinity of certain symmetric matrix-valued functions arising in the singular Sturmian theory of canonical linear differential systems.
Peter Šepitka, Roman Šimon Hilscher
doaj +1 more source
Randomly pivoted Cholesky: Practical approximation of a kernel matrix with few entry evaluations
Abstract The randomly pivoted Cholesky algorithm (RPCholesky) computes a factorized rank‐k$k$ approximation of an N×N$N \times N$ positive‐semidefinite (psd) matrix. RPCholesky requires only (k+1)N$(k + 1)N$ entry evaluations and O(k2N)$\mathcal {O}(k^2 N)$ additional arithmetic operations, and it can be implemented with just a few lines of code.
Yifan Chen +3 more
wiley +1 more source

