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Simulated annealing type algorithms for multivariate optimization

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Outgoing claims: the papers this work cites, builds on, or argues with.

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Simulation and the Monte Carlo Method
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Simulation and the Monte Carlo Method
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Stochastic Differential Equations
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Stochastic Approximation Methods for Constrained and Unconstrained Systems
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Stochastic Differential Equations
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Global optimization and stochastic differential equations
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Stochastic Differential Equations
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Global optimization via the Langevin equation
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Analysis of recursive stochastic algorithms
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Applications of a Kushner and Clark lemma to general classes of stochastic algorithms
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Optimization by Simulated Annealing
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Asymptotic Global Behavior for Stochastic Approximation and Diffusions with Slowly Decreasing Noise Effects: Global Minimization via Monte Carlo
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Diffusions for Global Optimization
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Diffusion for Global Optimization in $\mathbb{R}^n $
inferredcites →https://doi.org/10.1142/9789812701039_0003openalex-snapshot
STOCHASTIC APPROXIMATION
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Laplace's Method Revisited: Weak Convergence of Probability Measures
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ON STOCHASTIC APPROXIMATION
inferredcites →https://doi.org/10.2307/2004859openalex-snapshot
Stochastic Approximation

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Stochastic Optimization, Stochastic Approximation and Simulated Annealing
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Simulated Annealing Algorithms for Continuous Global Optimization
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Numerical Methods for Integration and Search for Minima
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Introduction
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Basic Principles of Annealing for Large Scale Non-Linear Optimization
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Modelling and Estimation for Random Fields
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An adaptive sparse-grid iterative ensemble Kalman filter approach for parameter field estimation
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Stochastic comparison algorithm for discrete optimization with estimation
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Relative Frequencies of Non-homogeneous Markov Chains in Simulated Annealing and Related Algorithms
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Gibbs Sampler Based Control of Autonomous Vehicle Swarms in the Presence of Sensor Errors
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On the approximate domain optimization of deterministic and expected value criteria
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Finite-Sample Bounds for Adaptive Inverse Reinforcement Learning Using Passive Langevin Dynamics
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Stochastic Optimization on Continuous Domains With Finite-Time Guarantees by Markov Chain Monte Carlo Methods
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Stochastic Comparison Algorithm for Discrete Optimization with Estimation
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Theory and application of annealing algorithms for continuous optimization
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ASTRX/OBLX
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Massively Parallel Simulated Annealing and Its Relation to Evolutionary Algorithms
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Relative Frequencies of Generalized Simulated Annealing
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Electrical Conductivity Evidence for the Existence of a Mantle Plume Beneath Tarim Basin
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Wireless Channel Equalization in Digital Communication Systems
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