DOI10.1137/S1064827502415661zbMath1091.65062MaRDI QIDQ5470338
George Biros, Omar Ghattas
Publication date: 30 May 2006
Published in: SIAM Journal on Scientific Computing (Search for Journal in Brave)
Learning physics-based models from data: perspectives from inverse problems and model reduction,
Inversion of convection-diffusion equation with discrete sources,
Using mesh adaption for the identification of a spatial field of material properties,
A full-space quasi-Lagrange-Newton-Krylov algorithm for trajectory optimization problems,
Constrained $H^1$-Regularization Schemes for Diffeomorphic Image Registration,
Domain decomposition methods for advection-dominated linear-quadratic elliptic optimal control problems,
Constraint Interface Preconditioning for Topology Optimization Problems,
Preconditioned iterative methods for Navier-Stokes control problems,
Analysis on inexact block diagonal preconditioners for elliptic PDE-constrained optimization problems,
On a multigrid solver for stationary Navier-Stokes velocity-pressure tracking-type control problems,
A note on the implementation of an interior-point algorithm for nonlinear optimization with inexact step computations,
One-Shot Approaches to Design Optimzation,
An operator-splitting approach for variational optimal control formulations for diffeomorphic shape matching,
A parallel two-level domain decomposition based one-shot method for shape optimization problems,
Simultaneous single-step one-shot optimization with unsteady PDEs,
A Semi-Lagrangian Two-Level Preconditioned Newton--Krylov Solver for Constrained Diffeomorphic Image Registration,
On the Connection Between Forward and Optimization Problem in One-shot One-step Methods,
Enabling Hyper-Differential Sensitivity Analysis for Ill-Posed Inverse Problems,
An inverse problem formulation for parameter estimation of a reaction-diffusion model of low grade gliomas,
Convergence analysis of multigrid methods with collective point smoothers for optimal control problems,
A Data Scalable Augmented Lagrangian KKT Preconditioner for Large-Scale Inverse Problems,
Maximum efficiency for a family of Newton-like methods with frozen derivatives and some applications,
Efficient time domain decomposition algorithms for parabolic PDE-constrained optimization problems,
Fully implicit Lagrange–Newton–Krylov–Schwarz algorithms for boundary control of unsteady incompressible flows,
An adjoint-based Jacobi-type iterative method for elastic full waveform inversion problem,
Circumventing the solution of inverse problems in mechanics through deep learning: application to elasticity imaging,
Full-space approach to aerodynamic shape optimization,
Two-level space-time domain decomposition methods for flow control problems,
Smooth and robust solutions for Dirichlet boundary control of fluid-solid conjugate heat transfer problems,
Adaptive Path Following Primal Dual Interior Point Methods for Shape Optimization of Linear and Nonlinear Stokes Flow Problems,
Nonlinear Preconditioning Techniques for Full-Space Lagrange--Newton Solution of PDE-Constrained Optimization Problems,
A saddle point approach to an optimal boundary control problem for steady Navier-Stokes equations,
PDE-constrained optimization in medical image analysis,
CLAIRE: A Distributed-Memory Solver for Constrained Large Deformation Diffeomorphic Image Registration,
An Inexact Newton--Krylov Algorithm for Constrained Diffeomorphic Image Registration,
Parallel generalized Lagrange-Newton method for fully coupled solution of PDE-constrained optimization problems with bound-constraints,
Inexact Hessian-vector products in reduced-space differential-equation constrained optimization