activity
20192024
most citedStability analysis of hierarchical tensor methods for time-dependent PDEs

13 citations · 15 across the 4 of their papers we have counts for

collaborators

5 papers

math.NA2024

Tensor approximation of functional differential equations

Abram Rodgers, Daniele Venturi

Functional Differential Equations (FDEs) play a fundamental role in many areas of mathematical physics, including fluid dynamics (Hopf characteristic functional equation), quantum…

math.NA2022★ 2 cited

Implicit integration of nonlinear evolution equations on tensor manifolds

Abram Rodgers, Daniele Venturi

Explicit step-truncation tensor methods have recently proven successful in integrating initial value problems for high-dimensional partial differential equations (PDEs). However, t…

math.NA2020

Rank-adaptive tensor methods for high-dimensional nonlinear PDEs

Alec Dektor, Abram Rodgers, Daniele Venturi

We present a new rank-adaptive tensor method to compute the numerical solution of high-dimensional nonlinear PDEs. The method combines functional tensor train (FTT) series expansio…

math.NA2020

Adaptive integration of nonlinear evolution equations on tensor manifolds

Abram Rodgers, Alec Dektor, Daniele Venturi

We develop new adaptive algorithms for temporal integration of nonlinear evolution equations on tensor manifolds. These algorithms, which we call step-truncation methods, are based…

math.NA2019★ 13 cited

Stability analysis of hierarchical tensor methods for time-dependent PDEs

Abram Rodgers, Daniele Venturi

In this paper we address the question of whether it is possible to integrate time-dependent high-dimensional PDEs with hierarchical tensor methods and explicit time stepping scheme…