Tootfinder

Was able to grab and install Lagrange (for accessing Gopher/Gemini sites) here on my laptop that has Mint on it, just by searching for Lagrange in the Software Manager (gotta love Linux). Installed, launched-- and yeah, it really is a great, clean GUI. Also, you can see my Rogue desktop background 😂
#Gemini #Gopher …

hens: White Leghorn hens (1946)
Dominance interactions (pecking) among a group of White Leghorn hens, observed in 1946. Edge weights represent the frequency of interaction. The two versions below are equivalent.
This network has 32 nodes and 496 edges.
Tags: Social, Animal, Weighted
https://networks.skewed.de/net/hens

Pete Carroll Era Starts Off with Lukewarm Grade for September https://heavy.com/sports/nfl/las-vegas-raiders/pete-carroll-era-starts-off-with-lukewarm-grade-for-september/?adt_ei=[email]

Das Deutsche #RoteKreuz (#DRK) hat vor massiven Problemen beim #Bevölkerungsschutz gewarnt. „Die Bevölkerung ist im Krisenfall kaum geschützt."

A IL de vez em quando acerta. É raro, é muito, muito raro, mas lš de onde a onde, naquela do relógio parado dar as horas certas duas vezes por dia, lš atingem o alvo.
https://ciberlandia.pt/@d3/115124470436660063

Dual Optimistic Ascent (PI Control) is the Augmented Lagrangian Method in Disguise
Juan Ramirez, Simon Lacoste-Julien
https://arxiv.org/abs/2509.22500 https://

Dual Optimistic Ascent (PI Control) is the Augmented Lagrangian Method in Disguise
Constrained optimization is a powerful framework for enforcing requirements on neural networks. These constrained deep learning problems are typically solved using first-order methods on their min-max Lagrangian formulation, but such approaches often suffer from oscillations and can fail to find all local solutions. While the Augmented Lagrangian method (ALM) addresses these issues, practitioners often favor dual optimistic ascent schemes (PI control) on the standard Lagrangian, which perform w…

An Augmented Lagrangian Value Function Method for Lower-level Constrained Stochastic Bilevel Optimization
Hantao Nie, Jiaxiang Li, Zaiwen Wen
https://arxiv.org/abs/2509.24249 ht…

An Augmented Lagrangian Value Function Method for Lower-level Constrained Stochastic Bilevel Optimization
Recently, lower-level constrained bilevel optimization has attracted increasing attention. However, existing methods mostly focus on either deterministic cases or problems with linear constraints. The main challenge in stochastic cases with general constraints is the bias and variance of the hyper-gradient, arising from the inexact solution of the lower-level problem. In this paper, we propose a novel stochastic augmented Lagrangian value function method for solving stochastic bilevel optimizat…

🇺🇦 #NowPlaying on KEXP's #AfternoonShow
Ramones:
🎵 [End of the Century radio promo]
#Ramones
https://losramones.bandcamp.com

Lagrangian description and quantification of scalar mixing in fluid flows from particle tracks
Anna Kl\"unker, Alexandra von Kameke, Kathrin Padberg-Gehle
https://arxiv.org/abs/2509.25030

Lagrangian description and quantification of scalar mixing in fluid flows from particle tracks
Understanding, quantifying and controlling transport and mixing processes are central in the study of fluid flows. Many different Lagrangian approaches have been proposed for detecting organizing flow structures that determine material transport, including recent data-based methods that aim to identify such coherent objects directly from tracer trajectories. These methods have helped to gain a better understanding of the underlying dynamics. However, the quantification of scalar mixing has not …

Simultaneous Quantization and Reduction of Constrained Systems
Jianhao M. Yang
https://arxiv.org/abs/2509.22747 https://arxiv.org/pdf/2509.22747

Simultaneous Quantization and Reduction of Constrained Systems
We present a novel framework for quantizing constrained quantum systems in which the processes of quantization and constraint enforcement are performed simultaneously. The approach is based on an extension of the stationary action principle, incorporating an information-theoretic term arising from vacuum fluctuations. Constraints are included directly in the Lagrangian via Lagrange multipliers, allowing the subsequent variational procedure to yield the quantum dynamics without ambiguity regardi…