… done with the GAUSSIAN 03 computer program. All of the basis sets in the G4 theory, with
the exception of G3LargeXP and the third-row basis sets, are standard in GAUSSIAN 03. The …

… simplest quantum operations transforming Gaussian states into Gaussian states. We then
give examples of both Gaussian states and Gaussian unitaries. Multimode Gaussian states are …

The Gaussian isoperimetric inequality, and its related … of Gaussian measures. These notes
aim to present, in a concise and selfcontained form, the fundamental results on Gaussian …

The information contained in this publication is believed to be accurate and reliable. However,
Gaussian, Inc. makes no representation of warranties with respect to this document or the …

… with something so simple as a Gaussian distribution, but as we shall now see, many popular
nonlinear interpolation methods are equivalent to particular Gaussian processes. (I will use …

… and the associated statistics for Gaussian and non-Gaussian data. For Gaussian data, we
… (LMM)-based methods, while for non-Gaussian data, we focus on generalised linear mixed-…

… Focusing on the simplest situation of Gaussian settings allows to describe the main specificities
… Gaussian linear regression Gaussian linear regression is a statistical framework in which …

… It allows only for Gaussian distributions, whereas other … In Section 2, we develop
maximum likelihood criteria for Gaussian … In Section 3, we present practical criteria for non-Gaussian …

This is a primer on extended Gaussian images. Extended Gaussian images are useful for
representing the shapes of surfaces. They can be computed easily from: 1. needle maps …

… known as Gaussian states. They constitute a natural extension of the idea of Gaussian or
normal distributions in classical probability. We shall restrict ourselves to Gaussian states in the …