Preconditioners for Krylov subspace methods: An overview
JW Pearson, J Pestana - GAMM‐Mitteilungen, 2020 - Wiley Online Library
When simulating a mechanism from science or engineering, or an industrial process, one is
frequently required to construct a mathematical model, and then resolve this model …
frequently required to construct a mathematical model, and then resolve this model …
Regularization-robust preconditioners for time-dependent PDE-constrained optimization problems
JW Pearson, M Stoll, AJ Wathen - SIAM Journal on Matrix Analysis and …, 2012 - SIAM
In this article, we motivate, derive, and test effective preconditioners to be used with the
Minres algorithm for solving a number of saddle point systems which arise in PDE …
Minres algorithm for solving a number of saddle point systems which arise in PDE …
Comparison of preconditioned Krylov subspace iteration methods for PDE-constrained optimization problems: Poisson and convection-diffusion control
O Axelsson, S Farouq, M Neytcheva - Numerical Algorithms, 2016 - Springer
Saddle point matrices of a special structure arise in optimal control problems. In this paper
we consider distributed optimal control for various types of scalar stationary partial …
we consider distributed optimal control for various types of scalar stationary partial …
[图书][B] Preconditioning and the conjugate gradient method in the context of solving PDEs
Our times can be characterized by, among many other attributes, the seemingly increasing
speed of everything. Within science, it has led to the publication explosion, which reflects the …
speed of everything. Within science, it has led to the publication explosion, which reflects the …
A low-rank in time approach to PDE-constrained optimization
The solution of time-dependent PDE-constrained optimization problems is a challenging
task in numerical analysis and applied mathematics. All-at-once discretizations and …
task in numerical analysis and applied mathematics. All-at-once discretizations and …
Fast solvers for Cahn--Hilliard inpainting
The solution of Cahn--Hilliard variational inequalities is of interest in many applications. We
discuss the use of them as a tool for binary image inpainting. This has been done before …
discuss the use of them as a tool for binary image inpainting. This has been done before …
Preconditioners for state‐constrained optimal control problems with Moreau–Yosida penalty function
JW Pearson, M Stoll, AJ Wathen - Numerical Linear Algebra …, 2014 - Wiley Online Library
Optimal control problems with partial differential equations as constraints play an important
role in many applications. The inclusion of bound constraints for the state variable poses a …
role in many applications. The inclusion of bound constraints for the state variable poses a …
Fast tensor product solvers for optimization problems with fractional differential equations as constraints
Fractional differential equations have recently received much attention within computational
mathematics and applied science, and their numerical treatment is an important research …
mathematics and applied science, and their numerical treatment is an important research …
Fast interior point solution of quadratic programming problems arising from PDE-constrained optimization
JW Pearson, J Gondzio - Numerische Mathematik, 2017 - Springer
Interior point methods provide an attractive class of approaches for solving linear, quadratic
and nonlinear programming problems, due to their excellent efficiency and wide …
and nonlinear programming problems, due to their excellent efficiency and wide …
Preconditioning of active-set Newton methods for PDE-constrained optimal control problems
We address the problem of preconditioning a sequence of saddle point linear systems
arising in the solution of PDE-constrained optimal control problems via active-set Newton …
arising in the solution of PDE-constrained optimal control problems via active-set Newton …