Pages that link to "Item:Q1337130"

The following pages link to Global optimization by random perturbation of the gradient method with a fixed parameter (Q1337130):

Displaying 23 items.

• Global optimization using \(q\)-gradients (Q322763) (← links)
• A perturbed martingale approach to global optimization (Q468044) (← links)
• Stochastic perturbation of reduced gradient \& GRG methods for nonconvex programming problems (Q505738) (← links)
• Global optimization through a stochastic perturbation of the Polak-Ribière conjugate gradient method (Q508045) (← links)
• Two-phase generalized reduced gradient method for constrained global optimization (Q613033) (← links)
• Global optimization using diffusion perturbations with large noise intensity (Q861400) (← links)
• Solving continuous location-districting problems with Voronoi diagrams (Q947939) (← links)
• Approximate Gaussian distributions in optimization by random perturbation methods (Q1294578) (← links)
• The method of global optimization of a function and estimation of the speed of its convergence (Q1342603) (← links)
• Perturbed steepest-descent technique in multiextremal problems (Q1359471) (← links)
• A continuous approach to the design of physical distribution systems (Q1571036) (← links)
• Gradient surfing: a new deterministic approach for low-dimensional global optimization (Q1730775) (← links)
• Designing multi-vehicle delivery tours in a grid-cell format (Q1809842) (← links)
• A stochastic optimization method for the evaluation of minima up to \(\varepsilon\) (Q1865021) (← links)
• Uncertainty quantification in game theory (Q2129429) (← links)
• Random perturbation of the projected variable metric method for nonsmooth nonconvex optimization problems with linear constraints (Q2845108) (← links)
• A global optimization method using a random walk on a topological map and local variational inversions (Q3069798) (← links)
• Generic Half-Quadratic Optimization for Image Reconstruction (Q3192675) (← links)
• (Q3586786) (← links)
• Probabilistic adaptations of point generation schemes in some global optimization algorithms (Q5475278) (← links)
• Conditional gradient and bisection algorithms for non-convex optimization problem with random perturbation (Q6106813) (← links)
• Stochastic perturbation of subgradient algorithm for nonconvex deep neural networks (Q6161107) (← links)
• Using estimated gradients in bound-constrained global optimization (Q6660108) (← links)