#numerical stability

6 results
math.NA2026

A MATLAB Tool for the Stable Generation of Matrix Polynomial Evaluation Schemes with Two-Product Savings

J. Ibáñez, J. Sastre, J. M. Alonso +1

The paper introduces a MATLAB tool that automatically generates stable evaluation schemes for high-degree matrix polynomials, achieving a reduction of two matrix multiplications co…

#matrix functions#polynomial evaluation#numerical stability#software tools
astro-ph.CO2026

Impact of numerical stability in Bayesian noise wave calibration on global 21-cm experiments

Saswata Dasgupta, Adarsh Kumar Dash, Dominic Anstey +3

The paper identifies and mitigates a numerical instability in the Bayesian noise‑wave calibration used for global 21‑cm experiments, improving reproducibility and accuracy of recei…

#global 21-cm signal#noise wave calibration#numerical stability#bayesian inference
math.OC2026

Scalable Dynamic Optimal Transport via Distributed Linearized ADMM

Hari Dahal, Rongjie Lai, Yangyang Xu

The paper proposes a reformulation of the dynamic optimal transport problem that admits an exact proximal mapping and combines it with a linearized ADMM algorithm to remain stable…

#dynamic optimal transport#linearized admm#distributed optimization#memory-efficient algorithms
quant-ph2026

Implicit differentiation of tensor network algorithms

Lander Burgelman, Anna Francuz, Paul Brehmer +4

The paper applies implicit differentiation to the gradient computation in projected entangled-pair state (PEPS) optimization, reducing computational cost and eliminating numerical…

#tensor networks#projected entangled-pair states#implicit differentiation#gradient optimization
math.NA2026

An improved estimate of the intermediate internal energy in the energy-consistent HLLD scheme

Fan Zhang

The paper introduces a simple correction to the intermediate internal energy estimate in the HLLD approximate Riemann solver for magnetohydrodynamics, improving robustness and pres…

#magnetohydrodynamics#approximate riemann solvers#HLLD scheme#numerical stability
math.NA2026

A new randomized CholeskyQR based on LU decomposition with partial pivoting

Yuwei Fan, Haoran Guan, Zhonghua Qiao

The paper introduces RCLUPP, a randomized QR factorization method that uses LU decomposition with partial pivoting and matrix sketching to improve efficiency and robustness over ex…

#qr decomposition#randomized algorithms#lu decomposition#matrix sketching