activity
20182021
most citedA new discrete energy technique for multi-step backward difference formulas

2 citations · 3 across the 3 of their papers we have counts for

collaborators

5 papers

math.NA2021

Optimal design for kernel interpolation: applications to uncertainty quantification

Akil Narayan, Liang Yan, Tao Zhou

The paper is concerned with classic kernel interpolation methods, in addition to approximation methods that are augmented by gradient measurements. To apply kernel interpolation us…

math.NA20212 cited

A new discrete energy technique for multi-step backward difference formulas

Honglin Liao, Tao Tang, Tao Zhou

The backward differentiation formula (BDF) is a useful family of implicit methods for the numerical integration of stiff differential equations. It is well noticed that the stabili…

math.NA20211 cited

Stability implies robust convergence of a class of preconditioned parallel-in-time iterative algorithms

Shu-Lin Wu, Tao Zhou, Zhi Zhou

Solving evolutionary equations in a parallel-in-time manner is an attractive topic and many algorithms are proposed in recent two decades. The algorithm based on the block -circ…

math.NA2020

ParaDiag: parallel-in-time algorithms based on the diagonalization technique

Martin J. Gander, Jun Liu, Shu-Lin Wu +2

In 2008, Maday and Ronquist introduced an interesting new approach for the direct parallel-in-time (PinT) solution of time-dependent PDEs. The idea is to diagonalize the time stepp…

math.NA2018

On energy dissipation theory and numerical stability for time-fractional phase field equations

Tao Tang, Haijun Yu, Tao Zhou

For the time-fractional phase field models, the corresponding energy dissipation law has not been settled on both the continuous level and the discrete level. In this work, we shal…