Titlebook: Optimization Under Stochastic Uncertainty; Methods, Control and Kurt Marti Book 2020 The Editor(s) (if applicable) and The Author(s), under

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書目名稱Optimization Under Stochastic Uncertainty影響因子(影響力)




書目名稱Optimization Under Stochastic Uncertainty影響因子(影響力)學(xué)科排名




書目名稱Optimization Under Stochastic Uncertainty網(wǎng)絡(luò)公開度




書目名稱Optimization Under Stochastic Uncertainty網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Optimization Under Stochastic Uncertainty被引頻次




書目名稱Optimization Under Stochastic Uncertainty被引頻次學(xué)科排名




書目名稱Optimization Under Stochastic Uncertainty年度引用




書目名稱Optimization Under Stochastic Uncertainty年度引用學(xué)科排名




書目名稱Optimization Under Stochastic Uncertainty讀者反饋




書目名稱Optimization Under Stochastic Uncertainty讀者反饋學(xué)科排名

蚊帳

https://doi.org/10.1007/978-3-030-55662-4Stochastic Optimization Methods; Random Search Methods (RSM); Optimal Control under Stochastic Uncerta

神圣在玷污

reptile

GRIN

Controlled Random Search Procedures for Global OptimizationSolving optimization problems arising from engineering and economics, as, e.g., parameter- or process-optimization problems, . where . is a measurable subset of . and . is a measurable real function defined (at least) on ., one meets often the following situation:

notice

Mathematical Model of Random Search Methods and Elementary PropertiesRandom search methods are special stochastic optimization methods to solve the following problem:

intellect

Special Random Search MethodsAn important subclass is formed by those methods whose mutation transition probabilities .. have Lebesgue densities.

NIP

Pudendal-Nerve

裂縫

Convergence of Stationary Random Search Methods for Positive Success ProbabilityLet . be in this section—in the sense of Definition .—a stationary R-S-M with the mutation transition probability .. Let us now again pose the question on which conditions . converge, i.e. when does . apply to any starting point ..?∈?.?