Tootfinder

This https://arxiv.org/abs/2408.05197 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

Inverse Iteration for the Laplace Eigenvalue Problem with Robin and Mixed Boundary Conditions
We apply the method of inverse iteration to the Laplace eigenvalue problem with Robin and mixed Dirichlet-Neumann boundary conditions, respectively. For each problem, we prove convergence of the iterates to a non-trivial principal eigenfunction and show that the corresponding Rayleigh quotients converge to the principal eigenvalue. We also propose a related iterative method for an eigenvalue problem arising from a model for optimal insulation and provide some partial results.

This https://arxiv.org/abs/2501.04034 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

Mirror Descent Methods with Weighting Scheme for Outputs for Constrained Variational Inequality Problems
This paper is devoted to the variational inequality problems. We consider two classes of problems, the first is classical constrained variational inequality and the second is the same problem with functional (inequality type) constraints. To solve these problems, we propose mirror descent-type methods with a weighting scheme for the generated points in each iteration of the algorithms. This scheme assigns smaller weights to the initial points and larger weights to the most recent points, thus i…

So i just threw together a first iteration of the switch engine PCB schematic in one crazed allnighter (thanks non 24 hour sleep schedules lol, its 0900 and I'm almost ready for bed).
It's missing some details like mounting holes and such, plus a few odds and ends like a 2.5V LDO and level shifter on the rs232 console, but I think it's 80% or so done. Lots of copy paste from kup-lulz and lcbringup which was of course the intent, those projects were intended to de-risk the s…

Convergence Analysis of An Alternating Nonlinear GMRES on Linear Systems
Yunhui He
https://arxiv.org/abs/2506.01081 https://arxiv.org…

Convergence Analysis of An Alternating Nonlinear GMRES on Linear Systems
In this work, we develop an alternating nonlinear Generalized Minimum Residual (NGMRES) algorithm with depth $m$ and periodicity $p$, denoted by aNGMRES($m,p$), applied to linear systems. We provide a theoretical analysis to quantify by how much aNGMRES($m$) can improve the convergence speed of the underlying fixed-point iteration for diagonalizable and symmetric positive definite cases. Our theoretical analysis gives us a better understanding of which factors affect the convergence speed. More…

This https://arxiv.org/abs/2501.18746 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_eco…

Model-Adaptive Approach to Dynamic Discrete Choice Models with Large State Spaces
Estimation and counterfactual experiments in dynamic discrete choice models with large state spaces pose computational difficulties. This paper develops a novel model-adaptive approach to solve the linear system of fixed point equations of the policy valuation operator. We propose a model-adaptive sieve space, constructed by iteratively augmenting the space with the residual from the previous iteration. We show both theoretically and numerically that model-adaptive sieves dramatically improve p…

It's release time for lintspec!
This new iteration brings a new experimental parser which increases the overall performance by 2-3x and a bunch of minor fixes, especially around the highlighted source code spans in the diagnostics.
#rust #RustLang #FOSS #solidity #benchmarking

This https://arxiv.org/abs/2502.17982 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

Kinetic variable-sample methods for stochastic optimization problems
We discuss kinetic-based particle optimization methods and variable-sample strategies for problems where the cost function represents the expected value of a random mapping. Kinetic-based optimization methods rely on a consensus mechanism targeting the global minimizer, and they exploit tools of kinetic theory to establish a rigorous framework for proving convergence to that minimizer. Variable-sample strategies replace the expected value by an approximation at each iteration of the optimizatio…

Stabilization of the Gradient Method for Solving Linear Algebraic Systems - A Method Related to the Normal Equation
Ibrahima Dione
https://arxiv.org/abs/2506.00702

Stabilization of the Gradient Method for Solving Linear Algebraic Systems - A Method Related to the Normal Equation
Although it is relatively easy to apply, the gradient method often displays a disappointingly slow rate of convergence. Its convergence is specially based on the structure of the matrix of the algebraic linear system, and on the choice of the stepsize defining the new iteration. We propose here a simple and robust stabilization of the gradient method, which no longer assumes a structure on the matrix (neither symmetric, nor positive definite) to converge, and which no longer requires an approac…

Meta ha pirateado al menos 14 de mis trabajos con copyright 🏴‍☠️
https://www.theatlantic.com/technology/archive/2025/03/search-libgen-data-set/682094/

I’m late to the party but congratulations @…!
Christian Selig, developer of Apollo, joins Digg https://techcrunch.c…

Apollo for Reddit dev Christian Selig to join Digg as an advisor | TechCrunch
Christian Selig, the iOS developer who ran the beloved third-party Reddit client Apollo, is joining the new iteration of Digg as an advisor. Earlier this

Data warehouses, lakes, lakehouses, and more – our choices significantly affect operational costs and development speed. Join Lars Albertsson at Berlin Buzzwords to explore how different data processing paradigms impact deployment, failure handling, and data quality. Learn strategies to minimise costs and latency, bridge between paradigms, and enhance development iteration and operational efficiency.
Learn more:

Symmetry breaking in time-dependent billiards
Anne K\'etri Pasquinelli da Fonseca, Edson Denis Leonel
https://arxiv.org/abs/2505.20488 https://

Symmetry breaking in time-dependent billiards
We investigate symmetry breaking in a time-dependent billiard that undergoes a continuous phase transition when dissipation is introduced. The system presents unlimited velocity, and thus energy growth for the conservative dynamics. When inelastic collisions are introduced between the particle and the boundary, the velocity reaches a plateau after the crossover iteration. The system presents the expected behavior for this type of transition, including scale invariance, critical exponents relate…