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@weddingweiser@berlin.social
2026-01-10 06:35:07

75 Quadratmeter Wedding weddingweiser.de/75-quadratmet

@heiseonline@social.heise.de
2026-01-06 08:04:00

Mova Viax: Smarte Kleingarten-Mähbots ab 600 Euro und 250 Quadratmeter
Mova zeigt auf der CES günstige Mähbots, die mit Lasersensorik und Kameras kleine Rasenflächen systematisch statt chaotisch kürzen.

@arXiv_mathOC_bot@mastoxiv.page
2025-11-14 11:47:12

Crosslisted article(s) found for math.OC. arxiv.org/list/math.OC/new
[1/1]:
- Optimal control of Volterra integral diffusions and application to contract theory
Dylan Possama\"i, Mehdi Talbi
arxiv.org/abs/2511.09701 mastoxiv.page/@arXiv_mathPR_bo
- Generalized infinite dimensional Alpha-Procrustes based geometries
Salvish Goomanee, Andi Han, Pratik Jawanpuria, Bamdev Mishra
arxiv.org/abs/2511.09801 mastoxiv.page/@arXiv_statML_bo
- Sample Complexity of Quadratically Regularized Optimal Transport
Alberto Gonz\'alez-Sanz, Eustasio del Barrio, Marcel Nutz
arxiv.org/abs/2511.09807 mastoxiv.page/@arXiv_mathST_bo
- On the Convergence of Overparameterized Problems: Inherent Properties of the Compositional Struct...
Arthur Castello Branco de Oliveira, Dhruv Jatkar, Eduardo Sontag
arxiv.org/abs/2511.09810 mastoxiv.page/@arXiv_csLG_bot/
- Implicit Multiple Tensor Decomposition
Kunjing Yang, Libin Zheng, Minru Bai
arxiv.org/abs/2511.09916 mastoxiv.page/@arXiv_mathNA_bo
- Theoretical Analysis of Resource-Induced Phase Transitions in Estimation Strategies
Takehiro Tottori, Tetsuya J. Kobayashi
arxiv.org/abs/2511.10184 mastoxiv.page/@arXiv_physicsbi
- Zeroes and Extrema of Functions via Random Measures
Athanasios Christou Micheas
arxiv.org/abs/2511.10293 mastoxiv.page/@arXiv_statME_bo
- Operator Models for Continuous-Time Offline Reinforcement Learning
Nicolas Hoischen, Petar Bevanda, Max Beier, Stefan Sosnowski, Boris Houska, Sandra Hirche
arxiv.org/abs/2511.10383 mastoxiv.page/@arXiv_statML_bo
- On topological properties of closed attractors
Wouter Jongeneel
arxiv.org/abs/2511.10429 mastoxiv.page/@arXiv_mathDS_bo
- Learning parameter-dependent shear viscosity from data, with application to sea and land ice
Gonzalo G. de Diego, Georg Stadler
arxiv.org/abs/2511.10452 mastoxiv.page/@arXiv_mathNA_bo
- Formal Verification of Control Lyapunov-Barrier Functions for Safe Stabilization with Bounded Con...
Jun Liu
arxiv.org/abs/2511.10510 mastoxiv.page/@arXiv_eessSY_bo
- Direction-of-Arrival and Noise Covariance Matrix joint estimation for beamforming
Vitor Gelsleichter Probst Curtarelli
arxiv.org/abs/2511.10639 mastoxiv.page/@arXiv_eessAS_bo
toXiv_bot_toot

@heiseonline@social.heise.de
2026-01-08 17:37:02

Mini-PC: Asus stellt NUC 16 Pro mit RAM-Lüfter vor
Die neueste NUC-Generation bricht mit einer alten Tradition: Die Boards sind nicht mehr quadratisch.
heise.de/news/Mini-PC-Asus…

@arXiv_mathOC_bot@mastoxiv.page
2025-11-14 10:10:20

Global Solutions to Non-Convex Functional Constrained Problems with Hidden Convexity
Ilyas Fatkhullin, Niao He, Guanghui Lan, Florian Wolf
arxiv.org/abs/2511.10626 arxiv.org/pdf/2511.10626 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

@benb@osintua.eu
2025-12-01 03:48:22

"Red lines" as justification for terrorizing civilians – Russia's new tactic #shorts: benborges.xyz/2025/11/30/quotr

@matematico314@social.linux.pizza
2025-12-09 06:42:41

A questão era calcular 1 i elevado a 11. Ao invés de utilizar Moivre, o aluno fez o produto de (1 i) por ele mesmo onze vezes e acertou a questão, o miseršvel rs. Mas ele poderia ao menos ter utilizado uma estratégia de elevar ao quadrado três vezes para obter a oitava potência e depois multiplicado três vezes por 1 i. Daria menos trabalho.

@tinoeberl@mastodon.online
2025-11-02 21:22:57

Mit dem neuen #Solarthermiepark Au setzt #Tübingen ein starkes Zeichen für die #Wärmewende.
Auf 23.200 Quadratmetern erzeugt die Anlage jährlich rund 6 Millionen kWh

@sauer_lauwarm@mastodon.social
2025-11-07 06:05:31

In einer stockdunklen Höhle an der griechisch-albanischen Grenze wurde ein 106 Quadratmeter großes Spinnennetz entdeckt, das rund 111.000 Achtbeiner beherbergt.

@Techmeme@techhub.social
2025-11-03 10:50:35

London is establishing itself as a center for quantitative finance; filings show trading firms XTX, Qube, and Quadrature each made £1B revenue in the past year (Financial Times)
ft.com/content/8a6502c3-f244-4