Feedback and Weighting Mechanisms for Improving Jacobian Estimates in the Adaptive Simultaneous Perturbation Algorithm
From MaRDI portal
Publication:4974596
DOI10.1109/TAC.2009.2019793zbMath1367.93734OpenAlexW2097115711MaRDI QIDQ4974596
Publication date: 8 August 2017
Published in: IEEE Transactions on Automatic Control (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1109/tac.2009.2019793
Hypothesis testing in multivariate analysis (62H15) Numerical computation of solutions to single equations (65H05)
Related Items (10)
Algorithm portfolios for noisy optimization ⋮ A gradient method for unconstrained optimization in noisy environment ⋮ SIMULATION-BASED OPTIMIZATION BY NEW STOCHASTIC APPROXIMATION ALGORITHM ⋮ Stochastic approximation with nondecaying gain: Error bound and data‐driven gain‐tuning ⋮ Simple and cumulative regret for continuous noisy optimization ⋮ From model-based control to data-driven control: survey, classification and perspective ⋮ Efficient Monte Carlo computation of Fisher information matrix using prior information ⋮ Simulation optimization: a review of algorithms and applications ⋮ Parallel Simultaneous Perturbation Optimization ⋮ Performance analysis of the simultaneous perturbation stochastic approximation algorithm on the noisy sphere model
This page was built for publication: Feedback and Weighting Mechanisms for Improving Jacobian Estimates in the Adaptive Simultaneous Perturbation Algorithm