Results 211 to 220 of about 3,127,622 (352)

Status of the ΛCDM theory: supporting evidence and anomalies. [PDF]

Philos Trans A Math Phys Eng Sci
Peebles PJE.
europepmc   +1 more source

Towards a gravity dual for the large scale structure of the universe [PDF]

, 2016
Alex Kehagias, Antonio Riotto, Martin S. Sloth   +2 more
openalex   +1 more source

A Redshift Survey of the Nearby Galaxy Cluster A2107: Global Rotation of the Cluster and Its Connection to Large-scale Structures in the Universe [PDF]

, 2018
Hyunmi Song, Ho Seong Hwang, Changbom Park, Rory Smith, M. Einasto   +4 more
openalex   +1 more source

Nonideal self-gravity and cosmology: the importance of correlations in the dynamics of the large-scale structures of the Universe

, 2022
Pascal Tremblin, G. Chabrier, Thomas Padioleau, Simon Daley-Yates   +3 more
openalex   +2 more sources

Data‐driven forecasting of ship motions in waves using machine learning and dynamic mode decomposition

International Journal of Adaptive Control and Signal Processing, EarlyView.
Summary Data‐driven forecasting of ship motions in waves is investigated through feedforward and recurrent neural networks as well as dynamic mode decomposition. The goal is to predict future ship motion variables based on past data collected on the field, using equation‐free approaches.
Matteo Diez, Mauro Gaggero, Andrea Serani   +2 more
wiley   +1 more source

Quantum sensing for NASA science missions. [PDF]

EPJ Quantum Technol
Mercer CR, Montbach EN, Christe SD, Connerton RM, Podolski DA, Robinson MP, Perez MR.   +6 more
europepmc   +1 more source

Computational Cosmology: from the Early Universe to the Large Scale Structure [PDF]

, 2001
Anninos Peter
openalex  

An Analytical Study of the Primordial Gravitational-Wave-Induced Contribution to the Large-Scale Structure of the Universe

, 2022
Pritha Bari, Daniele Bertacca, Nicola Bartolo, Angelo Ricciardone, S. Giardiello, S. Matarrese   +5 more
openalex   +2 more sources

Large Scale Structures of the Universe [PDF]

, 1988
Alexander S. Szalay, Jean Audouze, Marie-Christine Pelletan   +2 more
openaire   +2 more sources

Random Learning Leads to Faster Convergence in ‘Model‐Free’ ILC: With Application to MIMO Feedforward in Industrial Printing

International Journal of Adaptive Control and Signal Processing, EarlyView.
The cost as a function of the number of experiments for a non‐symmetric 21×21$$ 21\times 21 $$ system. Four approaches are shown: the proposed stochastic conjugate gradient ILC (SCGILC) method (), deterministic conjugate gradient ILC (), stochastic gradient descent ILC () and deterministic gradient descent ILC ().
Leontine Aarnoudse, Tom Oomen
wiley   +1 more source