Pages that link to "Item:Q4979864"

The following pages link to A Filter Method with Unified Step Computation for Nonlinear Optimization (Q4979864):

Displaying 16 items.

• A trust-region algorithm combining line search filter method with Lagrange merit function for nonlinear constrained optimization (Q297724) (← links)
• Structured regularization for barrier NLP solvers (Q523568) (← links)
• Local convergence of a trust-region algorithm with line search filter technique for nonlinear constrained optimization (Q668547) (← links)
• A line search penalty-free method for nonlinear second-order cone programming (Q829562) (← links)
• A integral filter algorithm for unconstrained global optimization (Q879465) (← links)
• A primal-dual augmented Lagrangian penalty-interior-point filter line search algorithm (Q1650852) (← links)
• Numerical reduced variable optimization methods via implicit functional dependence with applications (Q1722110) (← links)
• A line search exact penalty method for nonlinear semidefinite programming (Q2301144) (← links)
• A line search filter-SQP method with Lagrangian function for nonlinear inequality constrained optimization (Q2364355) (← links)
• On a globally convergent trust region algorithm with infeasibility control for equality constrained optimization (Q2634338) (← links)
• A Nonmonotone Filter SQP Method: Local Convergence and Numerical Results (Q2949516) (← links)
• Derivative-free nonlinear optimization filter simplex (Q3083910) (← links)
• An Affine Scaling Interior Trust-Region Algorithm Combining Backtracking Line Search with Filter Technique for Nonlinear Constrained Optimization (Q3453793) (← links)
• A competitive inexact nonmonotone filter SQP method: convergence analysis and numerical results (Q5058375) (← links)
• A line search exact penalty method with bi-object strategy for nonlinear constrained optimization (Q5964608) (← links)
• Splitting augmented Lagrangian-type algorithms with partial quadratic approximation to solve sparse signal recovery problems (Q6572453) (← links)