Tootfinder

Florida Governor Ron DeSantis has said Floridians have a right to hit protesters with their car if they need to "flee for your safety."
DeSantis was speaking on The Rubin Report on Wednesday when he said:
"We also have a policy that if you're driving on one of those streets and a mob comes and surrounds your vehicle,
and threatens you, you have a right to flee for your safety.
"And so if you drive off and you hit one of these people,
tha…

Ron DeSantis Says Floridians Have Right to Hit Protesters With Cars
"That's their fault for impinging on you," Florida's governor said.

Ron DeSantis Says Floridians Have Right to Hit Protesters With Cars (Sophie Clark/Newsweek)
https://www.newsweek.com/ron-desantis-says-floridians-have-right-hit-protesters-cars-2084418
http://www.memeorandum.com/250612/p64#a250612p64

Ron DeSantis: Florida drivers have right to hit immigration protesters to 'flee for your safety'
https://thehill.com/homenews/state-watch/5346295-desantis-florida-immigration-protests-drivers/

Generalization Error Analysis for Attack-Free and Byzantine-Resilient Decentralized Learning with Data Heterogeneity
Haoxiang Ye, Tao Sun, Qing Ling
https://arxiv.org/abs/2506.09438

Generalization Error Analysis for Attack-Free and Byzantine-Resilient Decentralized Learning with Data Heterogeneity
Decentralized learning, which facilitates joint model training across geographically scattered agents, has gained significant attention in the field of signal and information processing in recent years. While the optimization errors of decentralized learning algorithms have been extensively studied, their generalization errors remain relatively under-explored. As the generalization errors reflect the scalability of trained models on unseen data and are crucial in determining the performance of …

Sources: FTC is discussing a consent decree on the Omnicom-Interpublic merger, prohibiting the combined company from boycotting platforms over political content (New York Times)
https://www.

FTC May Impose Political Bias Rule on Omnicom and Interpublic Merger
The Federal Trade Commission is considering restrictions on Omnicom and Interpublic to prevent the combined company from refusing to place ads on platforms for political reasons.

Alternating steepest descent methods for tensor completion with applications to spectromicroscopy
Oliver Townsend, Sergey Dolgov, Silvia Gazzola, Misha Kilmer
https://arxiv.org/abs/2506.10661

Alternating steepest descent methods for tensor completion with applications to spectromicroscopy
In this paper we develop two new Tensor Alternating Steepest Descent algorithms for tensor completion in the low-rank $\star_{M}$-product format, whereby we aim to reconstruct an entire low-rank tensor from a small number of measurements thereof. Both algorithms are rooted in the Alternating Steepest Descent (ASD) method for matrix completion, first proposed in [J. Tanner and K. Wei, Appl. Comput. Harmon. Anal., 40 (2016), pp. 417-429]. In deriving the new methods we target the X-ray spectromic…

Study of $p^{k}$-Eulerian polynomials and $p^{k}$-Fibonacci numbers for every odd prime $p$ and $k\geq0$
M. Parvathi, A. Tamilselvi, D. Hepsi
https://arxiv.org/abs/2506.09941

Study of $p^{k}$-Eulerian polynomials and $p^{k}$-Fibonacci numbers for every odd prime $p$ and $k\geq0$
In this paper, we define the notion of descent for the paths in the $p$-Bratteli diagram. This leads to the definition of $p^{k}$-Eulerian polynomials, whose coefficients count the number of paths with a given number of descents. We provide a method for constructing the $p^{k}$-Eulerian polynomials at each vertex. Furthermore, we compute the total number of descents of all paths ending at a given vertex as the corresponding $p^{k}$-Fibonacci numbers. We show that the derivative of the $p^{k}$-E…

F.T.C. May Put Unusual Condition on Ad Mega-Merger: No Boycotting (New York Times)
https://www.nytimes.com/2025/06/12/business/ftc-omnicom-interpublic-merger.html?unlocked_article_code=1.OU8.n6Rb.0DJnT0vuw02y&smid=nytcore-ios-share&referringSource=articleShare&sgrp=g
http://www.memeorandum.com/250612/p164#a250612p164

A discontinuous Galerkin plane wave neural network method for Helmholtz equation and Maxwell's equations
Long Yuan, Menghui Wu, Qiya Hu
https://arxiv.org/abs/2506.09309

A discontinuous Galerkin plane wave neural network method for Helmholtz equation and Maxwell's equations
In this paper we propose a discontinuous Galerkin plane wave neural network (DGPWNN) method for approximately solving Helmholtz equation and Maxwell's equations. In this method, we define an elliptic-type variational problem as in the plane wave least square method with $h-$refinement and introduce the adaptive construction of recursively augmented discontinuous Galerkin subspaces whose basis functions are realizations of element-wise neural network functions with $hp-$refinement, where the act…

Subspace-constrained randomized coordinate descent for linear systems with good low-rank matrix approximations
Jackie Lok, Elizaveta Rebrova
https://arxiv.org/abs/2506.09394

Subspace-constrained randomized coordinate descent for linear systems with good low-rank matrix approximations
The randomized coordinate descent (RCD) method is a classical algorithm with simple, lightweight iterations that is widely used for various optimization problems, including the solution of positive semidefinite linear systems. As a linear solver, RCD is particularly effective when the matrix is well-conditioned; however, its convergence rate deteriorates rapidly in the presence of large spectral outliers. In this paper, we introduce the subspace-constrained randomized coordinate descent (SC-RCD…