Nonlinear Preconditioning Techniques for Full-Space Lagrange--Newton Solution of PDE-Constrained Optimization Problems

SIAM Journal of Scientific Computing - United States
doi 10.1137/15m104075x
Full Text
Abstract

Available in full text

Date
Authors
Publisher

Society for Industrial & Applied Mathematics (SIAM)

Related search

An Implementable SAA Nonlinear Lagrange Algorithm for Constrained Minimax Stochastic Optimization Problems

Mathematical Problems in Engineering
MathematicsEngineering
2018English

Numerical Solution for PDE-Constrained Optimization Problem in Cardiac Electrophysiology

International Journal of Computer Applications
2012English

Optimal Solvers for PDE-Constrained Optimization

SIAM Journal of Scientific Computing
Computational MathematicsApplied Mathematics
2010English

Three-Dimensional Trajectory Optimization for Multi-Stage Launch Vehicle Mission Using a Full-Space Quasi-Lagrange–Newton Method

ANZIAM Journal
2019English

Comparison of Preconditioned Krylov Subspace Iteration Methods for PDE-constrained Optimization Problems

Numerical Algorithms
Applied Mathematics
2016English

16. Parallel Algorithms for PDE-Constrained Optimization

2006English

Improved Regularity Assumptions for Partial Outer Convexification of Mixed-Integer PDE-constrained Optimization Problems

ESAIM - Control, Optimisation and Calculus of Variations
ControlComputational MathematicsOptimizationSystems Engineering
2019English

Sundance: High-Level Software for PDE-Constrained Optimization

Scientific Programming
Computer Science ApplicationsSoftware
2012English

A Nonlinear Lagrangian Approach to Constrained Optimization Problems

SIAM Journal on Optimization
Theoretical Computer ScienceSoftware
2001English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2024 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy