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searching for Stochastic optimization 46 found (119 total)

alternate case: stochastic optimization

Augmented Lagrangian method (1,934 words) [view diff] exact match in snippet view article find links to article

multiple computing cores (e.g., SNAPVX (2015), parADMM (2016)). Stochastic optimization considers the problem of minimizing a loss function with access
Kinodynamic planning (305 words) [view diff] exact match in snippet view article find links to article
dynamics. More recently, many practical heuristic algorithms based on stochastic optimization and iterative sampling were developed, by a wide range of authors
Sethi model (1,865 words) [view diff] case mismatch in snippet view article find links to article
either way. Suresh Sethi published his paper "Deterministic and Stochastic Optimization of a Dynamic Advertising Model" in 1983. The Sethi model is a modification
International Journal of Theoretical and Applied Finance (297 words) [view diff] exact match in snippet view article find links to article
products; portfolio theory and long-term investment; applications of stochastic optimization, stochastic control and stochastic filtering in finance; computational
Roger J-B Wets (910 words) [view diff] exact match in snippet view article find links to article
Wets befriended R. Tyrrell Rockafellar, whom Wets introduced to stochastic optimization, starting a collaboration of many decades. He worked at Boeing
David Shmoys (1,787 words) [view diff] exact match in snippet view article find links to article
applications in many subsequent works. His current research includes stochastic optimization for data-driven models in a broad cross-section of areas, including
András Prékopa (1,431 words) [view diff] exact match in snippet view article find links to article
concerns the convexity theory of probabilistically constrained stochastic optimization problems. He introduced the concept of logarithmic concave measures
Elad Hazan (748 words) [view diff] exact match in snippet view article find links to article
(2011). Adaptive subgradient methods for online learning and stochastic optimization. Journal of machine learning research, 12(7). Arora, S., Hazan
Mario Veiga Ferraz Pereira (1,790 words) [view diff] exact match in snippet view article find links to article
contributions to methodology and implementation of multistage stochastic optimization in hydroelectric scheduling, energy planning, and policy. Pereira
Deanna Needell (304 words) [view diff] exact match in snippet view article find links to article
contributions to sparse approximation, signal processing, and stochastic optimization. She is also the recipient of the Alfred P. Sloan Fellowship and
Probability management (662 words) [view diff] exact match in snippet view article find links to article
realizations of probability distributions have been used to drive stochastic optimization since at least 1991. Andrew Gelman described such arrays of realizations
Computational sustainability (4,400 words) [view diff] no match in snippet view article find links to article
Computational sustainability is an emerging field that attempts to balance societal, economic, and environmental resources for the future well-being of
Incremental research (493 words) [view diff] exact match in snippet view article find links to article
following benchmarking attitude is promoted: "Methods research in stochastic optimization should focus on significant (conceptual, functional, performance)
List of Greek mathematicians (1,049 words) [view diff] case mismatch in snippet view article find links to article
Springer. p. 8. Chen, Wen (2008). New Models and Solutions for Stochastic Optimization for R&D and Transportation Problems. p. 1. Matthew Foreman; Akihiro
Suresh P. Sethi (2,024 words) [view diff] exact match in snippet view article find links to article
Sethi model. Sethi, Suresh P. (April 1983). "Deterministic and stochastic optimization of a dynamic advertising model". Optimal Control Applications and
Albert C. Reynolds (272 words) [view diff] case mismatch in snippet view article find links to article
Testing and History Matching Using Commercial Reservoir Simulators Stochastic Optimization for Automatic History Matching "TUPREP website" "Reynolds to Succeed
Scott Kirkpatrick (237 words) [view diff] exact match in snippet view article find links to article
1 (2012): 273–293. Schneider, Johannes, and Scott Kirkpatrick. Stochastic optimization. Springer Science & Business Media, 2007. Carmi, Shai, et al. "A
Double-clad fiber (2,487 words) [view diff] exact match in snippet view article find links to article
core, then, should be similar to that of the core-less domain. Stochastic optimization of the cladding shape confirms that an almost-circular spiral realizes
Drift plus penalty (7,204 words) [view diff] no match in snippet view article find links to article
In the mathematical theory of probability, the drift-plus-penalty method is used for optimization of queueing networks and other stochastic systems. The
Léon Bottou (733 words) [view diff] exact match in snippet view article find links to article
machine learning with large-scale datasets, on-line learning, and stochastic optimization methods. He developed the open source software LaSVM for fast large-scale
Albert Shiryaev (751 words) [view diff] exact match in snippet view article find links to article
N. Markov Prize of USSR Academy of Sciences, 1974) Problems of stochastic optimization, including "Optimal stopping rules" Problems of general stochastic
IOSO (1,120 words) [view diff] exact match in snippet view article find links to article
optimization is provided by the capabilities of IOSO algorithms to solve stochastic optimization problems with large level of noise. I.N. Egorov. Indirect Optimization
Werner Römisch (685 words) [view diff] exact match in snippet view article find links to article
39: 166-175. Römisch, Werner (1985). "An approximation method in stochastic optimization and control". Mathematical Control Theory, Banach Center Publications
Neuroevolution of augmenting topologies (1,533 words) [view diff] case mismatch in snippet view article find links to article
Computation Conference. Shimon Whiteson & Daniel Whiteson (2007). "Stochastic Optimization for Collision Selection in High Energy Physics" (PDF). IAAI 2007:
Andrzej Piotr Ruszczyński (1,127 words) [view diff] exact match in snippet view article find links to article
Andrzej (1995). "A new scenario decomposition method for large-scale stochastic optimization". Operations Research. 43 (3): 477–490. doi:10.1287/opre.43.3.477
Sudoku solving algorithms (1,945 words) [view diff] case mismatch in snippet view article find links to article
13 (4), pp 387-401. Perez, Meir and Marwala, Tshilidzi (2008) Stochastic Optimization Approaches for Solving Sudoku arXiv:0805.0697. Lewis, R. A Guide
Uplift modelling (1,996 words) [view diff] exact match in snippet view article find links to article
to solve large deterministic optimization problems and complex stochastic optimization problems where estimates are not exact. Recent research analyses
Hamilton–Jacobi–Bellman equation (2,050 words) [view diff] case mismatch in snippet view article find links to article
1090/conm/668/13400. ISBN 9781470419455. Chang, Fwu-Ranq (2004). Stochastic Optimization in Continuous Time. Cambridge, UK: Cambridge University Press.
List of genetic algorithm applications (2,510 words) [view diff] exact match in snippet view article find links to article
machine-component grouping problem required for cellular manufacturing systems Stochastic optimization Tactical asset allocation and international equity strategies Wireless
Gradient descent (5,375 words) [view diff] case mismatch in snippet view article find links to article
Kingma, Diederik P.; Ba, Jimmy (2017-01-29), Adam: A Method for Stochastic Optimization, arXiv:1412.6980 Xie, Zeke; Yuan, Li; Zhu, Zhanxing; Sugiyama,
Éric Moulines (747 words) [view diff] exact match in snippet view article find links to article
working on statistical learning problems, including the analysis of stochastic optimization algorithms. He joined the Centre de mathématiques appliquées de
Variational autoencoder (3,862 words) [view diff] exact match in snippet view article find links to article
expectation because the loss function will need to be optimized by stochastic optimization algorithms. Several distances can be chosen and this gave rise
International Federation for Information Processing (4,159 words) [view diff] case mismatch in snippet view article find links to article
Optimization-Based Computer-Aided Modeling and Design WG 7.7 on Stochastic Optimization IFIP TC8 was established in 1976 and focuses on Information Systems
Simge Küçükyavuz (334 words) [view diff] exact match in snippet view article find links to article
fellows, "for outstanding research in mixed-integer optimization and stochastic optimization, as well as distinguished service to, and leadership in, the profession"
Outline of evolution (4,569 words) [view diff] exact match in snippet view article find links to article
computation – Trial and error problem solvers with a metaheuristic or stochastic optimization character Evolutionary algorithm – Subset of evolutionary computation
Robust statistics (6,367 words) [view diff] exact match in snippet view article find links to article
Agarwal, Naman; Bullins, Brian; Hazan, Elad (2017), "Second-order stochastic optimization for machine learning in linear time", Journal of Machine Learning
Bellman equation (4,005 words) [view diff] exact match in snippet view article find links to article
rate varies from period to period, the consumer is faced with a stochastic optimization problem. Let the interest r follow a Markov process with probability
Fisher information (7,559 words) [view diff] case mismatch in snippet view article find links to article
"Information Geometry of the Gaussian Distribution in View of Stochastic Optimization". Proceedings of the 2015 ACM Conference on Foundations of Genetic
Power system simulation (2,866 words) [view diff] exact match in snippet view article find links to article
costs on a power network. Other power flow solution methods like stochastic optimization incorporate the uncertainty found in modeling power systems by
Energy modeling (4,269 words) [view diff] exact match in snippet view article find links to article
uncertainty around future energy predictions is accounted for using stochastic optimization. Implementing languages include GAMS, MathProg, MATLAB, Mathematica
Normal distribution (22,485 words) [view diff] exact match in snippet view article find links to article
(1982) introduced simple approximations that may be incorporated in stochastic optimization models of engineering and operations research, like reliability
Belfast (20,321 words) [view diff] exact match in snippet view article find links to article
S.-W.; Wong, S. P. S.; Xu, H. (2020). "Statistical models and stochastic optimization in financial technology and investment science" (PDF). Annals of
Stochastic quantum mechanics (7,130 words) [view diff] exact match in snippet view article find links to article
Liukkonen, J. (2019). "Quantum Mechanics can be understood through stochastic optimization on spacetimes". Scientific Reports. 9 (1): 19984. Bibcode:2019NatSR
MRI artifact (8,126 words) [view diff] case mismatch in snippet view article find links to article
PMID 31045278. Kingma, Diederik P. (2015). "Adam: A Method for Stochastic Optimization". ICLR. arXiv:1412.6980. Yuan Z, Jiang M, Wang Y, Wei B, Li Y,
List of RNA-Seq bioinformatics tools (20,361 words) [view diff] exact match in snippet view article find links to article
(based on pre-computed alignments) approach. It uses an online stochastic optimization approach to maximize the likelihood of the transcript abundances
Deep backward stochastic differential equation method (4,110 words) [view diff] case mismatch in snippet view article find links to article
ISBN 978-3-540-65960-0. Kingma, Diederik; Ba, Jimmy (2014). "Adam: A Method for Stochastic Optimization". arXiv:1412.6980 [cs.LG]. Beck, C.; E, W.; Jentzen, A. (2019)