Abstract: Covariance matrix estimation is of great importance in statistical signal processing. This paper considers covariance matrix estimation from correlated ...

Users need to load the gaussian/g16 module to use Gaussian 16 and/or GaussView. This can be done by putting this line in your SLURM batch script or in your start-up script for the bora sub-cluster ...

Data assimilation (DA) is a mathematical family of methods that allows the combination of observations and models. The model is used to fill observational gaps, and ...

The design got a speed boost the following year, and now the first production Super Sub has been revealed. Described as "the most hydrodynamic sub on the market" when it was first proposed ...

However, PN2V is not restricted to Gaussian noise models or Gaussian intensity predictions ... but artificially reduced the amount of available calibration data. More specifically, we sub-sampled the ...

As of December 31 st, 2024, the Voss Value Master Fund’s total gross exposure stood at 184.3% and the net long exposure was ...

This course gives an introduction to numerical methods for solving problems in physics and chemistry, i.e. methods for solving ordinary and partial differential equations, matrix operations and ...

If you find this repository useful, please use the following BibTeX entry for citation. @misc{liu2024citygaussianv2efficientgeometricallyaccurate, title ...

That can make choosing one particularly tough, so we’ve created this list of the top-performing subwoofers from our exhaustive reviews back catalogue. Every sub below has been through our rigorous ...

When one person observes another making a sandwich or changing a flat tire, knowledge about the parts of the activity can allow the observer to fill in missing information, predict what will ...