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We present new Dirichlet-Neumann and Neumann-Dirichlet algorithms with a time domain decomposition applied to unconstrained parabolic optimal control problems. After a spatial semi-discretization, we use the Lagrange multiplier approach to…

Numerical Analysis · Mathematics 2023-08-25 Martin Jakob Gander , Liu-Di Lu

Parabolic optimal control problems arise in numerous scientific and engineering applications. They typically lead to large-scale coupled forward-backward systems that cannot be treated with classical time-stepping schemes and are…

Numerical Analysis · Mathematics 2026-03-10 Liu-Di Lu , Tommaso Vanzan

We present new Neumann-Neumann algorithms based on a time domain decomposition applied to unconstrained parabolic optimal control problems. After a spatial semi-discretization, the Lagrange multiplier approach provides a coupled…

Numerical Analysis · Mathematics 2024-01-30 Martin Jakob Gander , Liu-Di Lu

Over the last two decades, classical Schwarz methods have been extended to systems of hyperbolic partial differential equations, and it was observed that the classical Schwarz method can be convergent even without overlap in certain cases.…

Numerical Analysis · Mathematics 2008-09-26 Victorita Dolean , Martin Gander , Luca Gerardo-Giorda

We present a waveform relaxation version of the Dirichlet-Neumann and Neumann-Neumann methods for parabolic problems. Like the Dirichlet-Neumann method for steady problems, the method is based on a non-overlapping spatial domain…

Analysis of PDEs · Mathematics 2014-05-22 Martin J. Gander , Felix Kwok , Bankim C. Mandal

Contact phenomena are essential in understanding the behavior of mechanical systems. Existing computational approaches for simulating mechanical contact often encounter numerical issues, such as inaccurate physical predictions, energy…

Computational Engineering, Finance, and Science · Computer Science 2023-11-13 A. Mota , D. Koliesnikova , I. Tezaur , J. Hoy

We study for the first time Schwarz domain decomposition methods for the solution of the Navier equations modeling the propagation of elastic waves. These equations in the time harmonic regime are difficult to solve by iterative methods,…

Numerical Analysis · Mathematics 2019-04-30 Romain Brunet , Victorita Dolean , Martin J. Gander

Optimization with time-dependent partial differential equations (PDEs) as constraints {appears} in many science and engineering applications. The associated first-order necessary optimality system consists of one forward and one backward…

Numerical Analysis · Mathematics 2017-09-28 Jun Liu , Zhu Wang

In this paper, we partially answer open questions about the convergence of overlapping Schwarz methods. We prove that overlapping Schwarz methods with Dirichlet transmission conditions for semilinear elliptic and parabolic equations always…

Numerical Analysis · Mathematics 2011-04-22 Minh-Binh Tran

We study the convergence properties of an overlapping Schwarz decomposition algorithm for solving nonlinear optimal control problems (OCPs). The algorithm decomposes the time domain into a set of overlapping subdomains, and solves all…

Optimization and Control · Mathematics 2026-05-11 Sen Na , Sungho Shin , Mihai Anitescu , Victor M. Zavala

Convergence is proven for Schwarz-like methods applied to degenerate elliptic-parabolic equations with a $p$-structure. This family of PDEs, e.g., arises when modelling nonlinear diffusion processes. The Schwarz-like approximation methods…

Numerical Analysis · Mathematics 2026-05-07 Monika Eisenmann , Eskil Hansen

We introduce in this paper a new tool to prove the convergence of the Overlapping Optimized Schwarz Methods with multisubdomains. The technique is based on some estimates of the errors on the boundaries of the overlapping strips. Our…

Numerical Analysis · Mathematics 2010-08-05 Minh-Binh Tran

We introduce a new domain decomposition strategy for time harmonic Maxwell's equations that is valid in the case of automatically generated subdomain partitions with possible presence of cross-points. The convergence of the algorithm is…

Numerical Analysis · Mathematics 2022-09-20 Xavier Claeys , Francis Collino , Emile Parolin

This paper presents and evaluates a framework for the coupling of subdomain-local projection-based reduced order models (PROMs) using the Schwarz alternating method following a domain decomposition (DD) of the spatial domain on which a…

Numerical Analysis · Mathematics 2024-10-08 Christopher R. Wentland , Francesco Rizzi , Joshua Barnett , Irina Tezaur

We introduce a domain decomposition-based nonlinear preconditioned iteration for solving nonlinear, nonsmooth elliptic optimal control problems, with a nonlinear reaction term, $L^1$ regularization and box constraints on the control…

Optimization and Control · Mathematics 2021-04-02 Gabriele Ciaramella , Felix Kwok , Georg Müller

In this paper we discuss the convergence of state-of-the-art optimized Schwarz transmission conditions for Helmholtz problems defined on closed domains (i.e. setups which do not exhibit an outgoing wave condition), as commonly encountered…

Numerical Analysis · Mathematics 2021-03-18 Nicolas Marsic , Herbert De Gersem

In this paper we analyze the Schwarz alternating method for unconstrained elliptic optimal control problems. We discuss the convergence properties of the method in the continuous case first and then apply the arguments to the finite…

Numerical Analysis · Mathematics 2022-01-05 Wei Gong , Felix Kwok , Zhiyu Tan

This paper derives optimal coefficients for optimized Schwarz iterations for the time-dependent Stokes-Darcy problem using an innovative strategy to solve a nonstandard min-max problem. The coefficients take into account both physical and…

Numerical Analysis · Mathematics 2023-05-15 Marco Discacciati , Tommaso Vanzan

The recent approach based on Hamiltonian systems and the implicit parametri\-za\-tion theorem, provides a general fixed domain approximation method in shape optimization problems, using optimal control theory. In previous works, we have…

Optimization and Control · Mathematics 2022-05-03 Cornel Marius Murea , Dan Tiba

In this paper we present a new steepest-descent type algorithm for convex optimization problems. Our algorithm pieces the unknown into sub-blocs of unknowns and considers a partial optimization over each sub-bloc. In quadratic optimization,…

Optimization and Control · Mathematics 2015-01-15 Mohamed Kamel Riahi
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