Use of iterative linear solvers in a Lagrange-Newton SQP algorithm for large-scale nonlinear optimization.
Conference
·
OSTI ID:969833
No abstract prepared.
- Research Organization:
- Sandia National Laboratories
- Sponsoring Organization:
- USDOE
- DOE Contract Number:
- AC04-94AL85000;
- OSTI ID:
- 969833
- Report Number(s):
- SAND2005-4315C
- Conference Information:
- Proposed for presentation at the SIAM 2005 Annual Meeting held July 11-15, 2005 in New Orleans, LA.
- Country of Publication:
- United States
- Language:
- English
Similar Records
A Matrix-Free Trust-Region SQP Algorithm for Large-Scale Optimization.
Adaptive sparse linear solvers for implicit CFD using Newton-Krylov algorithms.
A robust matrix-free trust-region SQP method for large-scale optimization.
Conference
·
2012
·
OSTI ID:1656997
Adaptive sparse linear solvers for implicit CFD using Newton-Krylov algorithms.
Conference
·
2003
·
OSTI ID:822526
A robust matrix-free trust-region SQP method for large-scale optimization.
Conference
·
2010
·
OSTI ID:992768