| Period | 10 Dec 2015 |
|---|---|
| Held at | University of Edinburgh, United Kingdom |
Keywords
- non-linear optimization
- Complexity theory
Documents & Links
Related content
Projects
Complexity in nonlinear optimization
Project: Research
ADALGOPT - Advanced algorithms in nonlinear optimization
Project: Research Axis
Research Output
Evaluation complexity for nonlinear constrained optimization using unscaled KKT conditions and high-order models
Research output: Contribution to journal › Article
On the evaluation complexity of cubic regularization methods for potentially rank-deficient nonlinear least-squares problems and its relevance to constrained nonlinear optimization
Research output: Contribution to journal › Article
How much patience do you have? A worst-case perspective on smooth nonconvex optimization
Research output: Contribution to journal › Article
A note about the complexity of minimizing Nesterov's smooth Chebyshev-Rosenbrock function
Research output: Contribution to journal › Article
Evaluation complexity of adaptive cubic regularization methods for convex unconstrained optimization
Research output: Contribution to journal › Article
On the oracle complexity of first-order and derivative-free algorithms for smooth nonconvex minimization
Research output: Contribution to journal › Article
Adaptive cubic regularisation methods for unconstrained optimization. Part II: Worst-case function- and derivative-evaluation complexity
Research output: Contribution to journal › Article
On the complexity of steepest descent, Newton's and regularized Newton's methods for nonconvex unconstrained optimization problems
Research output: Contribution to journal › Article
An example of slow convergence for Newton's method on a function with globally Lipschitz continuous Hessian
Research output: Working paper
Evaluation complexity bounds for smooth constrained nonlinear optimization using scaled KKT conditions and high-order models
Research output: Contribution in Book/Catalog/Report/Conference proceeding › Chapter
Adaptive cubic regularisation methods for unconstrained optimization. Part I: Motivation, convergence and numerical results
Research output: Contribution to journal › Article
Complexity bounds for second-order optimality in unconstrained optimization
Research output: Contribution to journal › Article
Optimal Newton-type methods for nonconvex smooth optimization problems
Research output: Book/Report/Journal › Other report
On the evaluation complexity of composite function minimization with applications to nonconvex nonlinear programming
Research output: Contribution to journal › Article
An adaptive cubic regularization algorithm for nonconvex optimization with convex constraints and its function-evaluation complexity
Research output: Contribution to journal › Article
On the evaluation complexity of constrained nonlinear least-squares and general constrained nonlinear optimization using second-order methods
Research output: Contribution to journal › Article
Worst-case evaluation complexity of non-monotone gradient-related algorithms for unconstrained optimization
Research output: Contribution to journal › Article
On the complexity of finding first-order critical points in constrained nonlinear optimization
Research output: Contribution to journal › Article
Worst-case evaluation complexity for unconstrained nonlinear optimization using high-order regularized models
Research output: Working paper