Mathematics: Recent submissions
Now showing items 121-140 of 1478
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Fujita-type results for the degenerate parabolic equations on the Heisenberg groups
(Springer Nature, 2024-03) -
BOUNDEDNESS OF THE DYADIC MAXIMAL FUNCTION ON GRADED LIE GROUPS
(Oxford University Press, 14-06-2024) -
Symmetry of Positive Solutions for Lane-Emden Systems Involving the Logarithmic Laplacian
(Springer Nature, 2023-12) -
SMOOTHING AND STRICHARTZ ESTIMATES FOR DEGENERATE SCHR ODINGER-TYPE EQUATIONS
(Elsevier, 07-02-2024)In this paper we focus on the validity of some fundamental estimates for time-degenerate Schrödinger-type operators. On the one hand we derive global homogeneous smoothing estimates for operators of any order by means of ... -
LSTM-CNN: An efficient diagnostic network for Parkinson's disease utilizing dynamic handwriting analysis.
(2024-04)BACKGROUND AND OBJECTIVES: Dynamic handwriting analysis, due to its noninvasive and readily accessible nature, has emerged as a vital adjunctive method for the early diagnosis of Parkinson's disease (PD). An essential step ... -
Ray-Tracing the Ulam Way
(2023-11-01) -
A numerical study of rigidity of hyperbolic splittings in simple two-dimensional maps
Chaotic hyperbolic dynamical systems enjoy a surprising degree of rigidity, a fact which is well known in the mathematics community but perhaps less so in theoretical physics circles. Low-dimensional hyperbolic systems are ... -
Signed permutohedra, delta-matroids, and beyond
We establish a connection between the algebraic geometry of the type B permutohedral toric variety and the combinatorics of delta-matroids. Using this connection, we compute the volume and lattice point counts of type B ... -
Transition to anomalous dynamics in a simple random map
(2023-08-18) -
Learning Regularization Parameter-Maps for Variational Image Reconstruction Using Deep Neural Networks and Algorithm Unrolling
(Society for Industrial & Applied Mathematics (SIAM), 2023-12-31)We introduce a method for the fast estimation of data-adapted, spatially and temporally dependent regularization parameter-maps for variational image reconstruction, focusing on total variation (TV) minimization. The ... -
Unrolled three-operator splitting for parameter-map learning in Low Dose X-ray CT reconstruction
(arXiv, 2023-04-17)We propose a method for fast and automatic estimation of spatially dependent regularization maps for total variation-based (TV) tomography reconstruction. The estimation is based on two distinct sub-networks, with the first ... -
Local Marchenko-Pastur law at the hard edge of the sample covariance ensemble
(AIP Publishing, 2023-12-01)Consider an N by N matrix X of complex entries with iid real and imaginary parts. We show that the local density of eigenvalues of X*X converges to the Marchenko-Pastur law on the optimal scale with probability 1. We also ...