Tootfinder

On G83-Lite: Solar Nanogeneration For Everyone (2009) - Learn how plug-in solar curtain linings could trim your home power bill and footprint... #solar #balconySolar #nanogeneration -

On G83-Lite: Solar Nanogeneration For Everyone (2009)
Learn how plug-in solar curtain linings could trim your home power bill and footprint... #solar #balconySolar #nanogeneration

This https://arxiv.org/abs/2405.08485 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

Doubly relaxed forward-Douglas--Rachford splitting for the sum of two nonconvex and a DC function
In this paper, we consider a class of structured nonconvex nonsmooth optimization problems whose objective function is the sum of three nonconvex functions, one of which is expressed in a difference-of-convex (DC) form. This problem class covers several important structures in the literature including the sum of three functions and the general DC program. We propose a splitting algorithm and prove the subsequential convergence to a stationary point of the problem. The full sequential convergenc…

Stop bending the knee to Trump: it’s time for anticipatory noncompliance | David Kirp | The Guardian https://www.theguardian.com/commentisfree/2025/jun/08/trump-anticipatory-noncompliance

This https://arxiv.org/abs/2505.12156 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

Quiver Schemes for Nongeneric Stability and Cornering
We use the Le Bruyn--Procesi theorem to prove several results on quiver schemes for nongeneric stability conditions: We show that the stability-zero finite-type Nakajima quiver schemes are reduced points and give an example of a closely related nonreduced quiver scheme. In broader generality, we prove that adding modules supported on stability-zero vertices induces closed embeddings of quiver schemes, and show how in many cases the quiver scheme associated with the cornered algebra defines a li…

Doubly Smoothed Optimistic Gradients: A Universal Approach for Smooth Minimax Problems
Taoli Zheng, Anthony Man-Cho So, Jiajin Li
https://arxiv.org/abs/2506.07397

Doubly Smoothed Optimistic Gradients: A Universal Approach for Smooth Minimax Problems
Smooth minimax optimization problems play a central role in a wide range of applications, including machine learning, game theory, and operations research. However, existing algorithmic frameworks vary significantly depending on the problem structure -- whether it is convex-concave, nonconvex-concave, convex-nonconcave, or even nonconvex-nonconcave with additional regularity conditions. In particular, this diversity complicates the tuning of step-sizes since even verifying convexity (or concavi…

The logic of hyperlinking in the era of social media:
- sure, you can link outside of our platform, but we'll proxy your link through our shortener so that you aren't exactly sure where you're going,
- everybody is confused where the hell they are going (and browsers amplify that nonsense by making address bars even dumber, showing barely anything except the top-level domain)
- oh, feeling too confused? Gotcha, we'll serve you additional screen showing "you're leaving our site, this is the exact link, are you sure?" so that you never run of mundane things to click at.
Reinventing the wheel for the millionth time, hell yeah.
(I have the same concern about those transition screens on Mastodon, but there's at least a tiny bit of logic behind that, especially with multiple different servers involved and stuff)

This https://arxiv.org/abs/2402.17391 has been replaced.
initial toot: https://mastoxiv.page/@ar…

Spatial super-resolution in nanosensing with blinking emitters
We propose a method of spatial resolution enhancement in metrology (thermometry, magnetometry, pH estimation, and similar methods) with blinking fluorescent nanosensors by combining sensing with super-resolution optical fluctuation imaging (SOFI). To demonstrate efficiency of this approach, both numerical simulations and a model experiment with laser diodes, which model fluctuating nanoemitters, and intentional blurring of the image are performed. The 2nd, 3rd, and 4th order cumulant images pro…

A Proximal Variable Smoothing for Minimization of Nonlinearly Composite Nonsmooth Function -- Maxmin Dispersion and MIMO Applications
Keita Kume, Isao Yamada
https://arxiv.org/abs/2506.05974

A Proximal Variable Smoothing for Minimization of Nonlinearly Composite Nonsmooth Function -- Maxmin Dispersion and MIMO Applications
We propose a proximal variable smoothing algorithm for a nonsmooth optimization problem whose cost function is the sum of three functions including a weakly convex composite function. The proposed algorithm has a single-loop structure inspired by a proximal gradient-type method. More precisely, the proposed algorithm consists of two steps: (i) a gradient descent of a time-varying smoothed surrogate function designed partially with the Moreau envelope of the weakly convex function; (ii) an appli…

Effective equidistribution of translates of tori in arithmetic homogeneous spaces and applications
Pratyush Sarkar
https://arxiv.org/abs/2506.06948 https:/…

Effective equidistribution of translates of tori in arithmetic homogeneous spaces and applications
Let $Γ< G$ be an arithmetic lattice in a noncompact connected semisimple real algebraic group. For $G$ being one of $\operatorname{SO}(n, 1)^\circ$ for $n \geq 2$, $\operatorname{SL}_2(\mathbb R) \times \operatorname{SL}_2(\mathbb R)$, $\operatorname{SL}_3(\mathbb R)$, $\operatorname{SU}(2, 1)$, $\operatorname{Sp}_4(\mathbb R)$, we prove effective equidistribution of large translates of tori in $G/Γ$. As an application, we obtain an asymptotic counting formula with a power saving error term f…

This https://arxiv.org/abs/2401.17852 has been replaced.
link: https://scholar.google.com/scholar?q=a

Theoretical smoothing frameworks for nonsmooth simple bilevel problems
Bilevel programming has recently received a great deal of attention due to its abundant applications in many areas. The optimal value function approach provides a useful reformulation of the bilevel problem, but its utility is often limited due to the nonsmoothness of the value function even in cases when the associated lower-level function is smooth. In this paper, we present two smoothing strategies for the value function associated with lower-level functions that are not necessarily smooth b…