Results 221 to 230 of about 554,064 (360)
Quarterly Journal of the Royal Meteorological Society, EarlyView.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
Optimal Designs for Discrete Choice Models Via Graph Laplacians. [PDF]
J Stat Theory PractRöttger F, Kahle T, Schwabe R.
europepmc +1 more source
Introducing non‐Gaussian observation errors into incremental variational data assimilation methods
Quarterly Journal of the Royal Meteorological Society, EarlyView.We propose a new method, called the evolving‐Gaussian method, to incorporate non‐Gaussian observation error into data assimilation methods that use Gauss–Newton‐based outer loops. The key idea is to approximate the gradient of the non‐Gaussian cost function locally by using a chosen Gaussian cost function during the minimization.
Chih‐Chi Hu +2 more
wiley +1 more source
Bias-Reduced Localization for Drone Swarm Based on Sensor Selection. [PDF]
Sensors (Basel)Wu B, Shen B, Zhang Y, Yang L, Wang Z.
europepmc +1 more source
MODIFLED INCOMPLETE CHOLESKY FACTORIZATION PRECONDITIONERS FOR A SYMMETRIC POSITIVE DEFINITE MATRIX [PDF]
, 2002 Jae Heon Yun, Yu-Du Han
openalex +1 more source
Nuclear Physics in the Era of Quantum Computing and Quantum Machine Learning
Advanced Quantum Technologies, EarlyView.The use of QML in the realm of nuclear physics at low energy is almost nonexistent. Three examples of the use of quantum computing and quantum machine in nuclear physics are presented: the determination of the phase/shape in nuclear models, the calculation of the ground state energy, and the identification of particles in nuclear physics experiments ...
José‐Enrique García‐Ramos +4 more
wiley +1 more source
Tracking control of air flow based on a fractional-order model of the lung impedance. [PDF]
Sci RepKuzminskas H +4 more
europepmc +1 more source
Advanced Quantum Technologies, EarlyView.The hybrid approach to Quantum Supervised Machine Learning is compatible with Noisy Intermediate Scale Quantum (NISQ) devices but hardly useful. Pure quantum kernels requiring fault‐tolerant quantum computers are more promising. Examples are kernels computed by means of the Quantum Fourier Transform (QFT) and kernels defined via the calculation of ...
Massimiliano Incudini +2 more
wiley +1 more source
Arrhythmogenic Cardiomyopathy and Biomarkers: A Promising Perspective? [PDF]
J Clin MedBarocelli F +13 more
europepmc +1 more source
Automatic positive semi-definite HAC covariance matrix and GMM estimation [PDF]
, 2004 Richard J. Smith
openalex +1 more source