Research output per year
Research output per year
Project Details
Description
The aim of this project is to develop a class of primal-dual interior point algorithms for the solution of nonlinear constrained optimization problems, and to study its theoretical (global and local convergence) and numerical properties.
| Status | Finished |
|---|---|
| Effective start/end date | 1/01/97 → 28/02/02 |
Keywords
- primal-dual method
- constrained optimization
- interior point method
- Nonlinear optimization
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Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.
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Superlinear convergence of primal-dual interior point algorithms for nonlinear programming
Gould, N., Orban, D., Sartenaer, A. & Toint, P., 1 Mar 2001, In: SIAM Journal on Optimization. 11, 4, p. 974-1002 29 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile56 Downloads (Pure) -
A primal-dual trust-region algorithm for non-convex nonlinear programming
Conn, A., Gould, N., Orban, D. & Toint, P., 1 Apr 2000, In: Mathematical Programming. 87, 2, p. 215-249 35 p.Research output: Contribution to journal › Article › peer-review
File104 Downloads (Pure) -
A note on the convergence of barrier algorithms to second-order necessary points
Gould, N. & Toint, P., 1 Jan 1999, In: Mathematical Programming. 85, 2, p. 433-438 6 p.Research output: Contribution to journal › Article › peer-review
File27 Downloads (Pure)
Projects
- 1 Active
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ADALGOPT: ADALGOPT - Advanced algorithms in nonlinear optimization
Sartenaer, A. (CoI) & Toint, P. (CoI)
1/01/87 → …
Project: Research Axis