Tootfinder

Trump's "QDallas County" Typo Post Misleads on Paper Ballots (J.D. Wolf/MeidasTouch News)
https://meidasnews.com/news/trumps-qdallas-county-typo-post-misleads-on-paper-ballots
http://www.memeorandum.com/251202/p40#a251202p40

🇺🇦 #NowPlaying on KEXP's #MorningShow
TV on the Radio:
🎵 Wolf Like Me
#TVontheRadio
https://tvontheradio.bandcamp.com/track/wolf-like-me-1
https://open.spotify.com/track/6Zgd7SomLTZkL1WPh4CUnV

Schaut Euch das Finale unserer Starport-Runde an. Jetzt auf dem Kanal von Katze & Wolf:
[Starport] Huleja - Insel der Sterne. Finale
https://www.twitch.tv/katzeundwolf

*elf barges into Zanta's (zoomer Santa's) snoval office* ZANTA!!! ZANTAAA!!!!
*Zanta startles, his round frameless cosmetic glasses jolt off his face and splash into his Swiss Miss, he mutes his Friday Night Funkin' - 61 vs 67 Kid Meme (Numerical Breakdown Demo) and turns with an irate energy rattling his piercings and messy dyed-white wolf cut*
Zanta: Bro WHAT TF!?
elf: THEY FOUND UR AGARTHA ALT UR SO COOKED THEYRE SAYING NO WONDER HE WISHES EVERYONE A WHITE C…

🤾‍♂️⛹️‍♂️ #GERNOR 🇩🇪 : 🇳🇴 Endstand 𝟯𝟬:𝟮𝟴 (15:17)
Obwohl Wolff von Anfang an mit Paraden-Feuerwerk 🐺🤩 in Top-Form ist, schalten wir im Angriff erst spät in den Weltklassemodus für dieses intensive Duell. Dann richtig starke Phase und nicht mehr zu stoppen... 😎🎉
Deutschland hat die Tabellenführung der Hauptrunde Gruppe I verteidigt. Montag gegen Dänemark 🔜🍀✨👀

Welp, I hope there's something good on TV cuz I don't think I'm getting my arm back any time soon.
#dogs #sleeping

Army veteran says ICE agents detained him for hours without access to phone or his attorney (Morgan Wolfe/KARE-TV)
https://www.kare11.com/article/news/local/ice-in-minnesota/army-veteran-ice-agents-detained-without-access-attorney/89-2c0a17b4-78da-452d-9b6e-47e2ebb6fd31
http://www.memeorandum.com/260120/p3#a260120p3

Global Solutions to Non-Convex Functional Constrained Problems with Hidden Convexity
Ilyas Fatkhullin, Niao He, Guanghui Lan, Florian Wolf
https://arxiv.org/abs/2511.10626 https://arxiv.org/pdf/2511.10626 https://arxiv.org/html/2511.10626
arXiv:2511.10626v1 Announce Type: new
Abstract: Constrained non-convex optimization is fundamentally challenging, as global solutions are generally intractable and constraint qualifications may not hold. However, in many applications, including safe policy optimization in control and reinforcement learning, such problems possess hidden convexity, meaning they can be reformulated as convex programs via a nonlinear invertible transformation. Typically such transformations are implicit or unknown, making the direct link with the convex program impossible. On the other hand, (sub-)gradients with respect to the original variables are often accessible or can be easily estimated, which motivates algorithms that operate directly in the original (non-convex) problem space using standard (sub-)gradient oracles. In this work, we develop the first algorithms to provably solve such non-convex problems to global minima. First, using a modified inexact proximal point method, we establish global last-iterate convergence guarantees with $\widetilde{\mathcal{O}}(\varepsilon^{-3})$ oracle complexity in non-smooth setting. For smooth problems, we propose a new bundle-level type method based on linearly constrained quadratic subproblems, improving the oracle complexity to $\widetilde{\mathcal{O}}(\varepsilon^{-1})$. Surprisingly, despite non-convexity, our methodology does not require any constraint qualifications, can handle hidden convex equality constraints, and achieves complexities matching those for solving unconstrained hidden convex optimization.
toXiv_bot_toot

🇺🇦 #NowPlaying on KEXP's #StreetSounds
Bruiser Wolf:
🎵 Tubi
#BruiserWolf
https://open.spotify.com/track/0qT6t3DZrOEqw5P8IDnGxF

🇺🇦 #NowPlaying on #BBC6Music's #IndieForeverDiscoWithBethDitto
TV on the Radio:
🎵 Wolf Like Me
#TVontheRadio
https://tvontheradio.bandcamp.com/track/wolf-like-me-1
https://open.spotify.com/track/6Zgd7SomLTZkL1WPh4CUnV