Suchergebnisse - "stochastic algorithms"
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1
Autoren:
Quelle: Evolution Equations and Control Theory. 14:463-493
Schlagwörter: 101027 Dynamical systems, stochastic algorithms for monotone equations, 101027 Dynamische Systeme, 101016 Optimisation, Probability (math.PR), stochastic differential equation, 101019 Stochastics, existence and uniqueness of solutions, Optimization and Control (math.OC), ergodic convergence rates, FOS: Mathematics, 34F05, 47H05, 60H10, 68W20, Monotone equation, ergodic upper bounds, 101016 Optimierung, Mathematics - Optimization and Control, 101019 Stochastik, Mathematics - Probability
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Autoren: et al.
Quelle: SIAM Review. 66:319-352
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Autoren:
Quelle: International Journal of Computer Mathematics: Computer Systems Theory. 8:206-221
Schlagwörter: Probability (math.PR), FOS: Mathematics, Martingales, Polya urns, Stochastic algorithms, 0101 mathematics, 01 natural sciences, Mathematics - Probability
Zugangs-URL: http://arxiv.org/abs/2109.07959
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Autoren: et al.
Weitere Verfasser: et al.
Quelle: ISSN: 2644-9463 ; Annales Henri Lebesgue ; https://hal.science/hal-04094950 ; Annales Henri Lebesgue, 2025, 8, 17 p. ⟨10.5802/ahl.242⟩.
Schlagwörter: Morse functions, Bessel processes, Almost sure convergence, Diffusion processes on Riemannian manifolds, Stochastic algorithms, Global optimization, MSC2020: primary: 60J60, secondary: 58J65, 90C26, 65C05, 60F15, 60J35, 35K10, [MATH]Mathematics [math]
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Autoren: et al.
Weitere Verfasser: et al.
Quelle: Alexandria Engineering Journal, Vol 73, Iss, Pp 321-341 (2023)
ArticlesSchlagwörter: 0209 industrial biotechnology, Stochastic algorithms, 0202 electrical engineering, electronic engineering, information engineering, Salp Swarm Algorithm, Exploration, 02 engineering and technology, Electrical and Computer Engineering, Exploitation, TA1-2040, Engineering (General). Civil engineering (General), Biogeography Based Optimization
Dateibeschreibung: application/pdf
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Autoren:
Quelle: Mathematical Programming. 204:255-297
Schlagwörter: FOS: Computer and information sciences, Convex programming, Computer Science - Machine Learning, 65K10, 49M37, 68T09, algorithmic stability, 0211 other engineering and technologies, Stochastic programming, Machine Learning (stat.ML), 02 engineering and technology, Minimax problems in mathematical programming, 01 natural sciences, Machine Learning (cs.LG), stochastic algorithms, Statistics - Machine Learning, Optimization and Control (math.OC), differential privacy, Sensitivity, stability, parametric optimization, FOS: Mathematics, saddle-point problems, 0101 mathematics, Complementarity and equilibrium problems and variational inequalities (finite dimensions) (aspects of mathematical programming), Mathematics - Optimization and Control, variational inequalities
Dateibeschreibung: application/xml; application/pdf
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Autoren:
Quelle: Mukherjee, A & Karmakar, S 2022, ' Provable training of a ReLU gate with an iterative non-gradient algorithm ', Neural Networks, vol. 151, pp. 264-275 . https://doi.org/10.1016/j.neunet.2022.03.040
Schlagwörter: FOS: Computer and information sciences, Computer Science - Machine Learning, non-gradient iterative algorithms, Computer Science - Information Theory, Information Theory (cs.IT), Neural nets, Learning and adaptive systems in artificial intelligence, Machine Learning (stat.ML), Nonconvex programming, global optimization, Non-smooth non-convex optimization, Machine Learning (cs.LG), neural nets, stochastic algorithms, Stochastic algorithms, Statistics - Machine Learning, 90C15 68W40 68T05, Computer Simulation, Non-gradient iterative algorithms, non-smooth nonconvex optimization, stochastic optimisation, Algorithms
Dateibeschreibung: application/xml
Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/35452894
http://arxiv.org/abs/2005.04211
https://zbmath.org/7751320
https://doi.org/10.1016/j.neunet.2022.03.040
https://research.manchester.ac.uk/en/publications/a4916933-2661-45bd-8486-535ced443d0d
https://doi.org/10.1016/j.neunet.2022.03.040
https://arxiv.org/abs/2005.04211
https://research.manchester.ac.uk/en/publications/a4916933-2661-45bd-8486-535ced443d0d
https://doi.org/10.1016/j.neunet.2022.03.040 -
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Autoren: et al.
Quelle: International Journal of Electrical Power & Energy Systems, Vol 163, Iss , Pp 110343- (2024)
Schlagwörter: Energy storage systems, Distribution systems, Electrical systems, Optimization, Stochastic algorithms, Production of electric energy or power. Powerplants. Central stations, TK1001-1841
Dateibeschreibung: electronic resource
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9
Autoren: et al.
Weitere Verfasser: et al.
Quelle: https://hal.science/hal-04408800 ; 2025.
Schlagwörter: Global optimization, fraudulent stochastic algorithms, Morse functions, attractive and repulsive minimizers, MSC2020: primary: 60J60, secondary: 58J65, 90C26, 65C05, 60F15, 60J35, 35K10, 37A50, [MATH.MATH-PR]Mathematics [math]/Probability [math.PR]
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Autoren:
Weitere Verfasser:
Quelle: Stochastic Processes and their Applications. 156:312-348
Schlagwörter: stochastic algorithms, optimization: averaging, 0101 mathematics, [SHS.ECO] Humanities and Social Sciences/Economics and Finance, B- ECONOMIE ET FINANCE, 01 natural sciences
Dateibeschreibung: text
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Autoren: et al.
Weitere Verfasser: et al.
Quelle: ESAIM: Probability and Statistics. 27:482-514
Schlagwörter: FOS: Computer and information sciences, Computer Science - Machine Learning, online learning, Machine Learning (stat.ML), [MATH] Mathematics [math], 02 engineering and technology, stochastic optimization, 01 natural sciences, Machine Learning (cs.LG), machine learning, Stochastic algorithms, mini-batch, Statistics - Machine Learning, Optimization and Control (math.OC), 0202 electrical engineering, electronic engineering, information engineering, FOS: Mathematics, streaming, 0101 mathematics, Mathematics - Optimization and Control
Dateibeschreibung: application/pdf
Zugangs-URL: http://arxiv.org/abs/2109.07117
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Autoren: et al.
Quelle: APPLIED RESEARCH
Schlagwörter: Technology and Engineering, ELECTROLYTES, PARTICLE MORPHOLOGY, multiphase modeling, energy applications, nanodomains: multiscale design, COPOLYMER, 02 engineering and technology, COMPARTMENTALIZATION, 01 natural sciences, EVOLUTION, 0104 chemical sciences, MODEL, stochastic algorithms, Physics and Astronomy, CONTROLLED/LIVING RADICAL POLYMERIZATION, DESIGN, NANOPARTICLES, 0210 nano-technology, KINETICS
Dateibeschreibung: application/pdf
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Autoren: et al.
Weitere Verfasser: et al.
Quelle: Neurocomputing, Vol. 503, p. 17-27 (2022)
Schlagwörter: distance preservation, FOS: Computer and information sciences, 0301 basic medicine, Computer Science - Machine Learning, 0303 health sciences, data visualisation, Data visualization, SNE, UMAP, t-SNE, Machine Learning (cs.LG), 03 medical and health sciences, Stochastic algorithms, neighbour embedding, MDS, Global structure, dimensionality reduction, global structure
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Autoren: et al.
Weitere Verfasser: et al.
Schlagwörter: Stochastic algorithms, Global optimization, Convergence of information σ- fields, global optimisation, stochastic algorithms, pure random search, Domínio/Área Científica::Ciências Naturais::Matemáticas
Dateibeschreibung: application/pdf
Verfügbarkeit: http://hdl.handle.net/10362/143659
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Autoren: et al.
Weitere Verfasser: et al.
Quelle: SIAM Journal on Optimization. 32:1402-1429
Schlagwörter: Stochastic Algorithms, 0211 other engineering and technologies, Numerical Analysis (math.NA), 02 engineering and technology, [INFO.INFO-NA]Computer Science [cs]/Numerical Analysis [cs.NA], Randomized Derivative Free Optimization, Evolution strategies, Black-box optimization, [INFO.INFO-NA] Computer Science [cs]/Numerical Analysis [cs.NA], Linear Convergence, FOS: Mathematics, 0202 electrical engineering, electronic engineering, information engineering, Mathematics - Numerical Analysis
Dateibeschreibung: application/pdf
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Autoren: et al.
Weitere Verfasser: et al.
Quelle: COMPEL - The international journal for computation and mathematics in electrical and electronic engineering. 41:1994-2009
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Autoren:
Quelle: Indonesian Journal of Electrical Engineering and Computer Science; Vol 34, No 1: April 2024; 128-133 ; 2502-4760 ; 2502-4752 ; 10.11591/ijeecs.v34.i1
Schlagwörter: Engine, Heavy duty trucks, Optimal tunning, Speed control, Stochastic algorithms
Dateibeschreibung: application/pdf
Relation: https://ijeecs.iaescore.com/index.php/IJEECS/article/view/35886/18104; https://ijeecs.iaescore.com/index.php/IJEECS/article/view/35886
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Autoren: Alexander A. Kozlov
Quelle: Безопасность информационных технологий, Vol 28, Iss 4, Pp 63-73 (2021)
Schlagwörter: Information theory, 0202 electrical engineering, electronic engineering, information engineering, related keys, arx, stochastic algorithms, lightweight algorithms, Information technology, 02 engineering and technology, Q350-390, 0101 mathematics, T58.5-58.64, 01 natural sciences
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Autoren: et al.
Quelle: Известия Томского политехнического университета
Bulletin of the Tomsk Polytechnic UniversitySchlagwörter: погружные электродвигатели, эксплуатация, асинхронные машины, стохастические алгоритмы, differential evolution, идентификация, скважины, генетические алгоритмы, математическая оптимизация, heuristics, submersible induction motor, genetic algorithms, многомерные данные, multivariate data, stochastic algorithms, эвристика, induction machine, identification, multivariate mathematical optimization, схемы замещения, испытания
Dateibeschreibung: application/pdf
Zugangs-URL: http://izvestiya-tpu.ru/archive/article/download/3013/2397
http://izvestiya.tpu.ru/archive/article/view/3013
http://izvestiya-tpu.ru/archive/article/view/3013
http://izvestiya-tpu.ru/archive/article/download/3013/2397
http://izvestiya.tpu.ru/archive/article/download/3013/2397
http://earchive.tpu.ru/handle/11683/64342 -
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Autoren: et al.
Weitere Verfasser: et al.
Schlagwörter: FOS: Computer and information sciences, Computer Science - Machine Learning, Primary 91A10, 91A26, secondary 68Q32, Stochastic algorithms, Computer Science - Computer Science and Game Theory, [INFO.INFO-GT] Computer Science [cs]/Computer Science and Game Theory [cs.GT], [MATH.MATH-OC] Mathematics [math]/Optimization and Control [math.OC], Non-convex games, Hidden games, Nash equilibrium, Computer Science and Game Theory (cs.GT), Machine Learning (cs.LG)
Dateibeschreibung: application/pdf
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