A Globally Convergent Third-Order Newton Method via Unified Semidefinite Programming Subproblems

This paper introduces ALMTON, a globally convergent third-order Newton method for unconstrained nonconvex optimization that achieves an O(ϵ2)O(\epsilon^{-2}) complexity by using adaptive quadratic regularization to maintain a tractable cubic model solvable via a single semidefinite program per iteration, thereby outperforming existing third-order and second-order baselines in convergence consistency and robustness.

Yubo Cai, Wenqi Zhu, Coralia Cartis, Gioele ZardiniWed, 11 Ma🔢 math

A Least-Squares-Based Regularity-Conforming Neural Networks (LS-ReCoNNs) for Solving Parametric Transmission Problems

This paper introduces LS-ReCoNN, a novel deep learning framework that solves parametric transmission problems by decomposing the solution into regular and singular components and employing a least-squares-based training strategy to accurately capture interface discontinuities and junction singularities across diverse parameter values.

Shima Baharlouei, Jamie Taylor, David PardoWed, 11 Ma🔢 math

On the Maximal Size of Irredundant Generating Sets in Lie Groups and Algebraic Groups

This paper establishes that sufficiently large topologically generating sets in connected compact, amenable, and reductive algebraic groups are necessarily redundant, providing quantitative bounds linked to finite simple groups of Lie type and demonstrating that these findings partially resolve Gelander's conjectures by showing they follow from the Wiegold conjecture.

Tal Cohen, Itamar VigdorovichWed, 11 Ma🔢 math

Infinite circle patterns in the Weil-Petersson class

This paper establishes that the space of infinite circle patterns in the Euclidean plane parameterized by discrete harmonic functions of finite Dirichlet energy forms an infinite-dimensional Hilbert manifold homeomorphic to the Sobolev space of half-differentiable functions, equipped with a Riemannian metric derived from a hyperbolic volume functional that relates to a symplectic form via an analogue of the Hilbert transform, thereby connecting these patterns to the Weil-Petersson class of the universal Teichmüller space.

Wai Yeung LamWed, 11 Ma🔢 math

Refined Estimates on the Dimensions of Maximal Faces of Completely Positive Cones

This paper refines the understanding of maximal faces in the cone of completely positive matrices by proving that the exact lower bound on their dimensions is nn for odd nn, and establishing a new upper estimate between nn and n+3n+3 for even n8n \geq 8.

O. I. Kostyukova (Institute of Mathematics, National Academy of Sciences of Belarus, Surganov str. 11, 220072, Minsk, Belarus), T. V. Tchemisova (University of Aveiro, Campus Universitário de Santiago, 3800-198, Aveiro, Portugal)Wed, 11 Ma🔢 math