Results 141 to 150 of about 177,680 (311)
We study the impact of observation‐error correlations in data assimilation using both a simple idealised system and a more realistic configuration. A spectral analysis of data assimilation in the idealised system allows us to gain insights on the effect of observation‐error correlations, which are then validated using the realistic configuration.
Olivier Goux+4 more
wiley +1 more source
Tests for Principal Eigenvalues and Eigenvectors
We establish central limit theorems for principal eigenvalues and eigenvectors under a large factor model setting, and develop two-sample tests of both principal eigenvalues and principal eigenvectors. One important application is to detect structural breaks in large factor models.
Fan, Jianqing+3 more
openaire +2 more sources
Statistical Complexity of Quantum Learning
The statistical performance of quantum learning is investigated as a function of the number of training data N$N$, and of the number of copies available for each quantum state in the training and testing data sets, respectively S$S$ and V$V$. Indeed, the biggest difference in quantum learning comes from the destructive nature of quantum measurements ...
Leonardo Banchi+3 more
wiley +1 more source
Monster Matrices: Their Eigenvalues and Eigenvectors [PDF]
Ernest R. Davidson, William J. Thompson
openalex +1 more source
Efficient Simulation of Open Quantum Systems on NISQ Trapped‐Ion Hardware
Open quantum systems exhibit rich dynamics that can be simulated efficiently on quantum computers, allowing us to learn more about their behavior. This work applies a new method to simulate certain open quantum systems on noisy trapped‐ion quantum hardware.
Colin Burdine+3 more
wiley +1 more source
Quantum Algorithm Providing Exponential Speed Increase for Finding Eigenvalues and Eigenvectors [PDF]
Daniel S. Abrams, Seth Lloyd
openalex +1 more source
ABSTRACT We review some known bounds on the eigenvalues of a matrix and use similar techniques to derive bounds for the class of nonlinear eigenproblems and, as a special case, the eigenvalues for LTI systems with delays. We present two classes of results.
Erik I. Verriest
wiley +1 more source
Workflow for tree species classification using lidar data. Steps include preprocessing (normalization, noise removal, CHM creation), tree segmentation, eigenfeature extraction, and 2D CNN training/validation. Blue, yellow, and red indicate training, validation, and testing image sets, respectively.
Ryan C. Blackburn+5 more
wiley +1 more source
ABSTRACT The study of synergies and trade‐offs among the Sustainable Development Goals (SDGs) has captured growing scientific interest. However, how scientific knowledge addressing multiple SDGs emerges and contributes to improving synergies and addressing trade‐offs remains unclear.
Oscar Yandy Romero‐Goyeneche+2 more
wiley +1 more source
ABSTRACT Benchmarking the sustainability of water utilities (WUs) in the provision of water and sanitation services is essential for addressing global sustainability goals. This study proposes a water utility sustainability index (WUSI), which was estimated for a sample of 29 WUs in Chile.
Alexandros Maziotis+1 more
wiley +1 more source