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U2:
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Scalar Dark Matter and Stability of Higgs Vacuum within a Minimal SO(10) GUT Model
Nilavjyoti Hazarika, Paramita Deka, Kalpana Bora
https://arxiv.org/abs/2403.13529

Scalar Dark Matter and Stability of Higgs Vacuum within a Minimal SO(10) GUT Model
In this work, we delve to investigate a feasible range of dark matter (DM) masses within a non-supersymmetric $SO(10)$ Grand Unified Theory (GUT) scalar dark matter model, in freeze-out scenario. This model includes a singlet scalar denoted as S and an inert doublet represented by $ϕ$. Being part of SO(10), the quantum numbers of DM particles are assigned and hence we know their nature. These fields are odd under a discrete $Z_2$ matter parity $(-1)^{3(B-L)}$. The dark matter with mass 300 $\l…

Der #Verkehrsversuch am #BlauenWunder in #Dresden hat es geschafft 4 Mal hintereinander im NewsRADar des @…

A Sequential Benders-based Mixed-Integer Quadratic Programming Algorithm
Andrea Ghezzi, Wim Van Roy, Sebastian Sager, Moritz Diehl
https://arxiv.org/abs/2404.11786

A Sequential Benders-based Mixed-Integer Quadratic Programming Algorithm
For continuous decision spaces, nonlinear programs (NLPs) can be efficiently solved via sequential quadratic programming (SQP) and, more generally, sequential convex programming (SCP). These algorithms linearize only the nonlinear equality constraints and keep the outer convex structure of the problem intact. The aim of the presented sequential mixed-integer quadratic programming (MIQP) algorithm for mixed-integer nonlinear problems (MINLPs) is to extend the SQP/SCP methodology to MINLPs and le…

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N.W.A:
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https://open.spotify.com/track/6NLLIPKjqFRnbCorRNTEHe
https://djmadjohn.bandcamp.com/track/n-w-a-express-yourself

A Sequential Benders-based Mixed-Integer Quadratic Programming Algorithm
Andrea Ghezzi, Wim Van Roy, Sebastian Sager, Moritz Diehl
https://arxiv.org/abs/2404.11786

A Sequential Benders-based Mixed-Integer Quadratic Programming Algorithm
For continuous decision spaces, nonlinear programs (NLPs) can be efficiently solved via sequential quadratic programming (SQP) and, more generally, sequential convex programming (SCP). These algorithms linearize only the nonlinear equality constraints and keep the outer convex structure of the problem intact. The aim of the presented sequential mixed-integer quadratic programming (MIQP) algorithm for mixed-integer nonlinear problems (MINLPs) is to extend the SQP/SCP methodology to MINLPs and le…

🔊 #NowPlaying on BBCRadio2's #RomeshRanganathan:ForTheLoveOfHipHop
N.W.A:
🎵 Express Yourself
#NWA
https://open.spotify.com/track/6NLLIPKjqFRnbCorRNTEHe
https://djmadjohn.bandcamp.com/track/n-w-a-express-yourself