1 citations · 1 across the 6 of their papers we have counts for
6 papers
Domain decomposition methods for the Stokes-Biot model of fluid-poroelastic structure interaction
Manraj Ghumman, Manu Jayadharan, Ivan Yotov
We develop a non-overlapping domain decomposition method for the numerical solution of the Stokes-Biot model of fluid-poroelastic structure interaction in a mixed form. The model i…
Ill-Conditioning in Dictionary-Based Dynamic-Equation Learning: A Systems Biology Case Study
Yuxiang Feng, Niall M Mangan, Manu Jayadharan
Data-driven discovery of governing equations from time-series data provides a powerful framework for understanding complex biological systems. Library-based approaches that use spa…
SODAs: Sparse Optimization for the Discovery of Differential and Algebraic Equations
Manu Jayadharan, Christina Catlett, Arthur N. Montanari +1
Differential-algebraic equations (DAEs) integrate ordinary differential equations (ODEs) with algebraic constraints, providing a fundamental framework for developing models of dyna…
Multiscale mortar mixed finite element methods for the Biot system of poroelasticity
Manu Jayadharan, Ivan Yotov
We develop a mixed finite element domain decomposition method on non-matching grids for the Biot system of poroelasticity. A displacement-pressure vector mortar function is introdu…
A space-time multiscale mortar mixed finite element method for parabolic equations
Manu Jayadharan, Michel Kern, Martin Vohralík +1
We develop a space-time mortar mixed finite element method for parabolic problems. The domain is decomposed into a union of subdomains discretized with non-matching spatial grids a…
Domain decomposition and partitioning methods for mixed finite element discretizations of the Biot system of poroelasticity
Manu Jayadharan, Eldar Khattatov, Ivan Yotov
We develop non-overlapping domain decomposition methods for the Biot system of poroelasticity in a mixed form. The solid deformation is modeled with a mixed three-field formulation…