59 citations · 89 across the 14 of their papers we have counts for
16 papers
Adjoint-based optimal control of jump-diffusion processes
Jan Bartsch, Alfio Borzi, Gabriele Ciaramella +1
Stochastic differential equations (SDEs) using jump-diffusion processes describe many natural phenomena at the microscopic level. Since they are commonly used to model economic and…
Solving Semi-Linear Elliptic Optimal Control Problems with -Cost via Regularization and RAS-Preconditioned Newton Methods
Gabriele Ciaramella, Michael Kartmann, Georg Müller
We present a new parallel computational framework for the efficient solution of a class of /-regularized optimal control problems governed by semi-linear elliptic partial…
Robust optimization of control parameters for WEC arrays using stochastic methods
Marco Gambarini, Gabriele Ciaramella, Edie Miglio +1
This work presents a new computational optimization framework for the robust control of parks of Wave Energy Converters (WEC) in irregular waves. The power of WEC parks is maximize…
A multigrid solver for PDE-constrained optimization with uncertain inputs
Gabriele Ciaramella, Fabio Nobile, Tommaso Vanzan
In this manuscript, we present a collective multigrid algorithm to solve efficiently the large saddle-point systems of equations that typically arise in PDE-constrained optimizatio…
A greedy reconstruction algorithm for the identification of spin distribution
S. Buchwald, G. Ciaramella, J. Salomon +1
We propose a greedy reconstruction algorithm to find the probability distribution of a parameter characterizing an inhomogeneous spin ensemble in Nuclear Magnetic Resonace. The ide…
Nonlinear optimized Schwarz preconditioner for elliptic optimal control problems
Gabriele Ciaramella, Felix Kwok, Georg Müller
We introduce a domain decomposition-based nonlinear preconditioned iteration for solving nonlinear, nonsmooth elliptic optimal control problems, with a nonlinear reaction term, $L^…
An overlapping waveform-relaxation preconditioner for economic optimal control problems with state constraints
Gabriele Ciaramella, Luca Mechelli
In this work, a class of parabolic economic optimal control problems is considered. These problems are characterized by pointwise state constraints regularized by a parameter, whic…
On the effect of boundary conditions on the scalability of Schwarz methods
Gabriele Ciaramella, Luca Mechelli
In contrast with classical Schwarz theory, recent results have shown that for special domain geometries, one-level Schwarz methods can be scalable. This property has been proved fo…
On the asymptotic optimality of spectral coarse spaces
Gabriele Ciaramella, Tommaso Vanzan
This paper is concerned with the asymptotic optimality of spectral coarse spaces for two-level iterative methods. Spectral coarse spaces, namely coarse spaces obtained as the span…
Analysis of a greedy reconstruction algorithm
S Buchwald, G Ciaramella, Julien Salomon
A novel and detailed convergence analysis is presented for a greedy algorithm that was previously introduced for operator reconstruction problems in the field of quantum mechanics.…
On the Scalability of the Parallel Schwarz Method in One-Dimension
Gabriele Ciaramella, Muhammad Hassan, Benjamin Stamm
In contrast with classical Schwarz theory, recent results in computational chemistry have shown that for special domain geometries, the one-level parallel Schwarz method can be sca…
A theoretical investigation of time-dependent Kohn-Sham equations: new proofs
Gabriele Ciaramella, Martin Sprengel, Alfio Borzi
In this paper, a new analysis for existence, uniqueness, and regularity of solutions to a time-dependent Kohn-Sham equation is presented. The Kohn-Sham equation is a nonlinear inte…
Spectral substructured two-level domain decomposition methods
Gabriele Ciaramella, Tommaso Vanzan
Two-level domain decomposition (DD) methods are very powerful techniques for the efficient numerical solution of partial differential equations (PDEs). A two-level domain decomposi…
On the Scalability of the Schwarz Method
Gabriele Ciaramella, Muhammad Hassan, Benjamin Stamm
In this article, we analyse the convergence behaviour and scalability properties of the one-level Parallel Schwarz method (PSM) for domain decomposition problems in which the bound…
Optimal design of experiments for a lithium-ion cell: parameters identification of an isothermal single particle model with electrolyte dynamics
Andrea Pozzi, Gabriele Ciaramella, Stefan Volkwein +1
Advanced battery management systems rely on mathematical models to guarantee optimal functioning of Lithium-ion batteries. The Pseudo-Two Dimensional (P2D) model is a very detailed…
A theoretical investigation of time-dependent Kohn-Sham equations
Martin Sprengel, Gabriele Ciaramella, Alfio Borzì
In this work, the existence, uniqueness and regularity of solutions to the time-dependent Kohn-Sham equations are investigated. The Kohn-Sham equations are a system of nonlinear co…