Pages that link to "Item:Q4722928"

The following pages link to Asymptotic Global Behavior for Stochastic Approximation and Diffusions with Slowly Decreasing Noise Effects: Global Minimization via Monte Carlo (Q4722928):

Displaying 32 items.

• An iterative stochastic ensemble method for parameter estimation of subsurface flow models (Q401591) (← links)
• Interactive diffusions for global optimization (Q481772) (← links)
• Simulated annealing simulated (Q678432) (← links)
• Simulated annealing type algorithms for multivariate optimization (Q810383) (← links)
• Convergence analysis of a global optimization algorithm using stochastic differential equations (Q842717) (← links)
• Linearly constrained global optimization and stochastic differential equations (Q857812) (← links)
• Global optimization using diffusion perturbations with large noise intensity (Q861400) (← links)
• Simulated annealing in the presence of noise (Q1009197) (← links)
• A simulated annealing technique for multi-objective simulation optimization (Q1049315) (← links)
• Mean square rates of convergence in the continuous time simulated annealing algorithm on \({\mathbb{R}}^ d\) (Q1099503) (← links)
• Global optimization and simulated annealing (Q1176572) (← links)
• Stochastic techniques for global optimization: A survey of recent advances (Q1200634) (← links)
• A statistical foundation for machine learning, with application to Go- Moku (Q1263996) (← links)
• Weak convergence rates for stochastic approximation with application to multiple targets and simulated annealing (Q1296615) (← links)
• Global optimization by random perturbation of the gradient method with a fixed parameter (Q1337130) (← links)
• Stochastic approximation of global minimum points (Q1338378) (← links)
• Online learning via congregational gradient descent (Q1377562) (← links)
• Convergence rates for annealing diffusion processes (Q1379726) (← links)
• Almost surely convergent global optimziation algorithm using noise-corrupted observations (Q1579659) (← links)
• An adaptive simulated annealing algorithm. (Q1888770) (← links)
• Boosting iterative stochastic ensemble method for nonlinear calibration of subsurface flow models (Q2449910) (← links)
• A combined multistart-annealing algorithm for continuous global optimization (Q2641084) (← links)
• An adaptive sparse-grid iterative ensemble Kalman filter approach for parameter field estimation (Q2875315) (← links)
• The behavior of the spectral gap under growing drift (Q3550537) (← links)
• Stochastic stability of a neural-net robot controller subject to signal-dependent noise in the learning rule (Q3576981) (← links)
• Artificial neural networks: an econometric perspective^∗ (Q4853078) (← links)
• (Q4998888) (← links)
• Optimal Sampling for Simulated Annealing Under Noise (Q5131720) (← links)
• Approximation of an analog diffusion network with applications to image estimation (Q5925728) (← links)
• Simulation-based optimization using simulated annealing with ranking and selection (Q5959082) (← links)
• On the Generalized Langevin Equation for Simulated Annealing (Q6109158) (← links)
• Re-use of samples in stochastic annealing (Q6551147) (← links)