activity
20192024
most citedEnhancing training of physics-informed neural networks using domain-decomposition based preconditioning strategies

31 citations · 85 across the 9 of their papers we have counts for

collaborators

9 papers

math.NA2024

Integrating Additive Multigrid with Multipreconditioned Conjugate Gradient Method

Hardik Kothari, Maria Giuseppina Chiara Nestola, Marco Favino +1

Due to its optimal complexity, the multigrid (MG) method is one of the most popular approaches for solving large-scale linear systems arising from the discretization of partial dif…

math.NA2023★ 31 cited

Enhancing training of physics-informed neural networks using domain-decomposition based preconditioning strategies

Alena Kopaničáková, Hardik Kothari, George Em Karniadakis +1

We propose to enhance the training of physics-informed neural networks (PINNs). To this aim, we introduce nonlinear additive and multiplicative preconditioning strategies for the w…

math.OC2022

Nonlinear Schwarz preconditioning for nonlinear optimization problems with bound constraints

Hardik Kothari, Alena Kopaničáková, Rolf Krause

We propose a nonlinear additive Schwarz method for solving nonlinear optimization problems with bound constraints. Our method is used as a "right-preconditioner" for solving the fi…

math.NA2022★ 1 cited

Nonlinear Schwarz preconditioning for Quasi-Newton methods

Hardik Kothari

We propose the nonlinear restricted additive Schwarz (RAS) preconditioning strategy to improve the convergence speed of limited memory quasi-Newton (QN) methods. We consider both "…

math.NA2022★ 24 cited

Nonlinear Field-split Preconditioners for Solving Monolithic Phase-field Models of Brittle Fracture

Alena Kopaničáková, Hardik Kothari, Rolf Krause

One of the state-of-the-art strategies for predicting crack propagation, nucleation, and interaction is the phase-field approach. Despite its reliability and robustness, the phase-…

math.NA2021★ 19 cited

A Generalized Multigrid Method for Solving Contact Problems in Lagrange Multiplier based Unfitted Finite Element Method

Hardik Kothari, Rolf Krause

Internal interfaces in a domain could exist as a material defect or they can appear due to propagations of cracks. Discretization of such geometries and solution of the contact pro…

math.NA2021★ 4 cited

A Multigrid Preconditioner for Jacobian-free Newton-Krylov Methods

Hardik Kothari, Alena Kopaničáková, Rolf Krause

In this work, we propose a multigrid preconditioner for Jacobian-free Newton-Krylov (JFNK) methods. Our multigrid method does not require knowledge of the Jacobian at any level of…

math.NA2021★ 3 cited

Multigrid and saddle-point preconditioners for unfitted finite element modelling of inclusions

Hardik Kothari, Rolf Krause

In this work, we consider the modeling of inclusions in the material using an unfitted finite element method. In the unfitted methods, structured background meshes are used and onl…

math.NA2019★ 3 cited

A Multigrid Method for a Nitsche-based Extended Finite Element Method

Hardik Kothari, Rolf Krause

We present a tailored multigrid method for linear problems stemming from a Nitsche-based extended finite element method (XFEM). Our multigrid method is robust with respect to highl…