Pages that link to "Item:Q1090237"

The following pages link to Global convergence and stabilization of unconstrained minimization methods without derivatives (Q1090237):

Displaying 16 items.

• Gradient-only approaches to avoid spurious local minima in unconstrained optimization (Q402201) (← links)
• On convergence analysis of a derivative-free trust region algorithm for constrained optimization with separable structure (Q477071) (← links)
• Perturbed steepest-descent technique in multiextremal problems (Q1359471) (← links)
• A globally convergent version of the Polak-Ribière conjugate gradient method (Q1366426) (← links)
• Frame-based ray search algorithms in unconstrained optimization (Q1411465) (← links)
• Extended global convergence framework for unconstrained optimization (Q1882487) (← links)
• A parameter-free unconstrained reformulation for nonsmooth problems with convex constraints (Q2044568) (← links)
• A local search method for costly black-box problems and its application to CSP plant start-up optimization refinement (Q2218908) (← links)
• Nonmonotone derivative-free methods for nonlinear equations (Q2385543) (← links)
• A robust optimization approach for magnetic spacecraft attitude stabilization (Q2412845) (← links)
• A class of derivative-free nonmonotone optimization algorithms employing coordinate rotations and gradient approximations (Q2515062) (← links)
• Globally convergent block-coordinate techniques for unconstrained optimization (Q4254662) (← links)
• Derivative-free optimization methods (Q5230522) (← links)
• Convergence conditions, line search algorithms and trust region implementations for the Polak–Ribière conjugate gradient method (Q5312756) (← links)
• Optimizing partially separable functions without derivatives (Q5717536) (← links)
• Global convergence technique for the Newton method with periodic Hessian evaluation (Q5956434) (← links)