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The Systems of Linear Algebraic Equations with Random Coefficients

1990
The simplest properties of solutions of linear algebraic systems with random coefficients are studied in this chapter. In some cases, the explicit formulas for solutions of these systems and their mean values and variances are found.
openaire   +1 more source

Accelerating Natural Gradient Descent for PINNs with Randomized Numerical Linear Algebra

Natural Gradient Descent (NGD) has emerged as a promising optimization algorithm for training neural network-based solvers for partial differential equations (PDEs), such as Physics-Informed Neural Networks (PINNs). However, its practical use is often limited by the high computational cost of solving linear systems involving the Gramian matrix.
Bioli, Ivan   +2 more
openaire   +1 more source

Variational algorithms for linear algebra

Science Bulletin, 2021
Xiaosi Xu, Jinzhao Sun, Suguru Endo
exaly  

Variational quantum algorithms

Nature Reviews Physics, 2021
Marco Cerezo   +2 more
exaly  

Mixed precision algorithms in numerical linear algebra

Acta Numerica, 2022
Nicholas J Higham, Theo Mary
exaly  

An algebra of observables for de Sitter space

Journal of High Energy Physics, 2023
exaly  

Computer algebra in gravity research

Living Reviews in Relativity, 2018
Malcolm A H Maccallum
exaly  

The Λ-BMS4 charge algebra

Journal of High Energy Physics, 2020
Geoffrey Compère   +2 more
exaly  

Spacetime algebra as a powerful tool for electromagnetism

Physics Reports, 2015
Justin Dressel   +2 more
exaly  

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