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arxiv.org arXiv
arxiv.org › abs › 0806.0538v6
SARAH is a Mathematica package for building and analyzing supersymmetric models. SARAH just needs the gauge structure, particle content and superpotential to produce all information about the gauge ei...
arxiv.org arXiv
arxiv.org › abs › 1207.0906v3
SARAH is a Mathematica package optimized for the fast, efficient and precise study of supersymmetric models beyond the MSSM: a new model can be defined in a short form and all vertices are derived. Th...
arxiv.org arXiv
arxiv.org › abs › 2602.18432v1
As embodied agents become central to VR, telepresence, and digital human applications, their motion must go beyond speech-aligned gestures: agents should turn toward users, respond to their movement, ...
arxiv.org arXiv
arxiv.org › abs › 1603.05958v1
I give in this brief tutorial a short practical introduction to the Mathematica package SARAH. First, it is shown how an existing model file can be changed to implement a new model in SARAH. In the se...
arxiv.org arXiv
arxiv.org › abs › 2509.10477v1
In this work, the authors describe efforts aimed at Indigenizing a second-year linear algebra course at a small liberal arts university in Manitoba, Canada. This is done through an assignment, part ha...
arxiv.org arXiv
arxiv.org › abs › 1906.02351v2
The main theme of this work is a unifying algorithm, \textbf{L}oop\textbf{L}ess \textbf{S}ARAH (L2S) for problems formulated as summation of $n$ individual loss functions. L2S broadens a recently deve...
arxiv.org arXiv
arxiv.org › abs › 1906.08496v1
StochAstic Recursive grAdient algoritHm (SARAH), originally proposed for convex optimization and also proven to be effective for general nonconvex optimization, has received great attention due to its...
arxiv.org arXiv
arxiv.org › abs › 1503.04200v1
I give an overview about the features the Mathematica package SARAH provides to study new models. In general, SARAH can handle a wide range of models beyond the MSSM coming with additional chiral supe...
arxiv.org arXiv
arxiv.org › abs › 1509.07061v2
I give in this lecture an overview of the features of the Mathematica package SARAH, and explain how it can be used together with other codes to study all aspects of a BSM model. The focus will be on ...
arxiv.org arXiv
arxiv.org › abs › 1703.00102v2
In this paper, we propose a StochAstic Recursive grAdient algoritHm (SARAH), as well as its practical variant SARAH+, as a novel approach to the finite-sum minimization problems. Different from the va...