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On when to stop sampling for the maximum

https://doi.org/10.1007/bf00130829
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What this work says

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

inferredcites →https://doi.org/10.1002/j.1538-7305.1965.tb04146.xopenalex-snapshot
Computer Solutions of the Traveling Salesman Problem
inferredcites →https://doi.org/10.1007/bf01584254openalex-snapshot
A statistical estimate of the structure of multi-extremal problems
inferredcites →https://doi.org/10.1007/bf02591684openalex-snapshot
Bayesian stopping rules for multistart global optimization methods
inferredcites →https://doi.org/10.1007/bf02592015openalex-snapshot
Sequential stopping rules for the multistart algorithm in global optimisation
inferredcites →https://doi.org/10.1007/bf02592071openalex-snapshot
Stochastic global optimization methods part II: Multi level methods
inferredcites →https://doi.org/10.1057/jors.1979.201openalex-snapshot
Towards Global Optimisation 2
inferredcites →https://doi.org/10.1080/00401706.1987.10488304openalex-snapshot
Numerical Recipes: The Art of Scientific Computing
inferredcites →https://doi.org/10.1080/02331939008843596openalex-snapshot
Stopping eules for the multistart method when different local minima have different function values
inferredcites →https://doi.org/10.1111/j.1467-9574.1990.tb01275.xopenalex-snapshot
A Bayesian learning procedure for the.(s, Q) inventory policy
inferredcites →https://doi.org/10.1111/j.1467-9574.2007.00380.xopenalex-snapshot
Statistica Neerlandica 61, 2007
inferredcites →https://doi.org/10.1119/1.14981openalex-snapshot
Numerical Recipes, The Art of Scientific Computing
inferredcites →https://doi.org/10.1137/1.9781611970654.ch1openalex-snapshot
1. Bayesian Statistics a Review
inferredcites →https://doi.org/10.2307/2284178openalex-snapshot
Bayesian Statistics, A Review.
inferredcites →https://doi.org/10.2307/2346640openalex-snapshot
Optimal Statistical Decisions.
inferredcites →https://doi.org/10.2307/2982451openalex-snapshot
Mathematical Statistics.
inferredcites →https://doi.org/10.2307/3009116openalex-snapshot
Towards Global Optimisation

What points at this work

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

inferred← citeshttps://doi.org/10.1007/0-306-48332-7_491openalex-snapshot
Stochastic Global Optimization: Stopping Rules
inferred← citeshttps://doi.org/10.1007/3-540-48774-3_15openalex-snapshot
Neural Network Approach to Design of Distributed Hard Real-Time Systems
inferred← citeshttps://doi.org/10.1007/978-0-387-74759-0_647openalex-snapshot
Stochastic Global Optimization: Stopping Rules
inferred← citeshttps://doi.org/10.1007/978-1-4615-2025-2_15openalex-snapshot
Stochastic Methods
inferred← citeshttps://doi.org/10.1007/978-1-4757-5362-2_5openalex-snapshot
Two-Phase Methods for Global Optimization
inferred← citeshttps://doi.org/10.1007/978-3-030-02375-1_1openalex-snapshot
Introduction
inferred← citeshttps://doi.org/10.1023/a:1008294209959openalex-snapshot
Trace-Based Methods for Solving Nonlinear Global Optimization and Satisfiability Problems
inferred← citeshttps://doi.org/10.1080/01621459.1994.10476895openalex-snapshot
Statistical Disclosure in Two-Dimensional Tables: General Tables
inferred← citeshttps://doi.org/10.1103/physreve.55.6219openalex-snapshot
Bayesian method for global optimization
inferred← citeshttps://doi.org/10.1137/090773143openalex-snapshot
Fixed-Width Sequential Stopping Rules for a Class of Stochastic Programs
inferred← citeshttps://doi.org/10.1137/s1052623494277317openalex-snapshot
Sequential Stopping Rules for Random Optimization Methods with Applications to Multistart Local Search
inferred← citeshttps://doi.org/10.1162/evco_a_00089openalex-snapshot
Black Box Optimization Benchmarking of the GLOBAL Method
inferred← citeshttps://doi.org/10.1287/opre.48.3.390.12436openalex-snapshot
Nested Partitions Method for Global Optimization
inferred← citeshttps://doi.org/10.14232/phd.625openalex-snapshot
Global optimization algorithms for bound constrained problems
inferred← citeshttps://doi.org/10.31449/inf.v45i2.3105openalex-snapshot
ParallelGlobal with Low Thread Interactions
inferred← citeshttps://doi.org/10.32657/10356/6217openalex-snapshot
New interval partitioning algorithms for global optimization problems
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