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16301 - 16310 von 16932
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Artikel 16301 Stochastic analysis and convergence velocity estimation of genetic algorithms
Enthalten in Zhongnan-Gongye-Daxue: Journal of Central South University of Technology Bd. 10, 1.3.2003, Nr. 1, date:3.2003: 58-63
Online Ressource
Artikel 16302 Stochastic Distance Transform: Theory, Algorithms and Applications
Enthalten in Journal of mathematical imaging and vision Bd. 62, 19.6.2020, Nr. 5, date:6.2020: 751-769
Online Ressource
Artikel 16303 Stochastic Gauss–Newton Algorithms for Online PCA
Enthalten in Journal of scientific computing Bd. 96, 22.7.2023, Nr. 3, date:9.2023: 1-34
Online Ressource
Artikel 16304 Stochastic ISTA/FISTA Adaptive Step Search Algorithms for Convex Composite Optimization
Enthalten in Journal of optimization theory and applications Bd. 205, 14.2.2025, Nr. 1, date:4.2025: 1-37
Online Ressource
Artikel 16305 Stochastic Modeling and Performance Optimization of Marine Power Plant with Metaheuristic Algorithms
Enthalten in Journal of marine science and application Bd. 22, 19.1.2024, Nr. 4, date:12.2023: 751-761
Online Ressource
Artikel 16306 Stochastic models and algorithms dedicated to the 60th birthday of Professor Eugene A. Feinberg
Enthalten in Annals of operations research Bd. 317, 5.10.2022, Nr. 2, date:10.2022: 331-333
Online Ressource
Artikel 16307 Stochastic models of virus propagation in computer networks: Algorithms of protection and optimization
Enthalten in Lobachevskii journal of mathematics Bd. 38, 19.9.2017, Nr. 5, date:9.2017: 906-909
Online Ressource
Artikel 16308 Stochastic Simulation Algorithms for Iterative Solution of the Lamé Equation
Enthalten in Numerical analysis and applications Bd. 16, 7.12.2023, Nr. 4, date:12.2023: 299-316
Online Ressource
Artikel 16309 Stochastic simulation of electron-hole recombination in two-dimensional and three-dimensional inhomogeneous semiconductors. Part I. Stochastic model and algorithms
Enthalten in Optoelectronics, instrumentation and data processing Bd. 53, 20.4.2017, Nr. 1, date:1.2017: 96-102
Online Ressource
Artikel 16310 Stopping Rules for Optimization Algorithms Based on Stochastic Approximation
Enthalten in Journal of optimization theory and applications Bd. 169, 29.9.2015, Nr. 2, date:5.2016: 568-586
Online Ressource


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