Literatura académica sobre el tema "Smoothed functional algorithms"
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Artículos de revistas sobre el tema "Smoothed functional algorithms"
Bhatnagar, Shalabh. "Adaptive Newton-based multivariate smoothed functional algorithms for simulation optimization". ACM Transactions on Modeling and Computer Simulation 18, n.º 1 (diciembre de 2007): 1–35. http://dx.doi.org/10.1145/1315575.1315577.
Texto completoBhatnagar, Shalabh y Vivek S. Borkar. "Multiscale Chaotic SPSA and Smoothed Functional Algorithms for Simulation Optimization". SIMULATION 79, n.º 10 (octubre de 2003): 568–80. http://dx.doi.org/10.1177/0037549703039988.
Texto completoGhoshdastidar, Debarghya, Ambedkar Dukkipati y Shalabh Bhatnagar. "Smoothed Functional Algorithms for Stochastic Optimization Using q -Gaussian Distributions". ACM Transactions on Modeling and Computer Simulation 24, n.º 3 (2 de mayo de 2014): 1–26. http://dx.doi.org/10.1145/2628434.
Texto completoGhoshdastidar, Debarghya, Ambedkar Dukkipati y Shalabh Bhatnagar. "Newton-based stochastic optimization using q-Gaussian smoothed functional algorithms". Automatica 50, n.º 10 (octubre de 2014): 2606–14. http://dx.doi.org/10.1016/j.automatica.2014.08.021.
Texto completoPrasad, H. L., L. A. Prashanth, Shalabh Bhatnagar y Nirmit Desai. "Adaptive Smoothed Functional Algorithms for Optimal Staffing Levels in Service Systems". Service Science 5, n.º 1 (marzo de 2013): 29–55. http://dx.doi.org/10.1287/serv.1120.0035.
Texto completoLakshmanan, K. y Shalabh Bhatnagar. "Quasi-Newton smoothed functional algorithms for unconstrained and constrained simulation optimization". Computational Optimization and Applications 66, n.º 3 (15 de septiembre de 2016): 533–56. http://dx.doi.org/10.1007/s10589-016-9875-4.
Texto completoNOROUZZADEH, P., B. RAHMANI y M. S. NOROUZZADEH. "FORECASTING SMOOTHED NON-STATIONARY TIME SERIES USING GENETIC ALGORITHMS". International Journal of Modern Physics C 18, n.º 06 (junio de 2007): 1071–86. http://dx.doi.org/10.1142/s0129183107011133.
Texto completoKostjukov, V. A., M. Y. Medvedev y V. Kh Pshikhopov. "Algorithms for Planning Smoothed Individual Trajectories of Ground Robots". Mekhatronika, Avtomatizatsiya, Upravlenie 23, n.º 11 (3 de noviembre de 2022): 585–95. http://dx.doi.org/10.17587/mau.23.585-595.
Texto completoVijayan, Nithia y Prashanth L.A. "Smoothed functional-based gradient algorithms for off-policy reinforcement learning: A non-asymptotic viewpoint". Systems & Control Letters 155 (septiembre de 2021): 104988. http://dx.doi.org/10.1016/j.sysconle.2021.104988.
Texto completoCheng, Chuen-Sheng, Pei-Wen Chen y Yu-Tang Wu. "Phase I Analysis of Nonlinear Profiles Using Anomaly Detection Techniques". Applied Sciences 13, n.º 4 (7 de febrero de 2023): 2147. http://dx.doi.org/10.3390/app13042147.
Texto completoTesis sobre el tema "Smoothed functional algorithms"
Sällberg, Gustav y Pontus Söderbäck. "Thesis - Optimizing Smooth Local Volatility Surfaces with Power Utility Functions". Thesis, Linköpings universitet, Produktionsekonomi, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-120090.
Texto completoBarajas, Leandro G. "Process Control in High-Noise Environments Using A Limited Number Of Measurements". Diss., Georgia Institute of Technology, 2003. http://hdl.handle.net/1853/7741.
Texto completoVestin, Albin y Gustav Strandberg. "Evaluation of Target Tracking Using Multiple Sensors and Non-Causal Algorithms". Thesis, Linköpings universitet, Reglerteknik, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-160020.
Texto completoLakshmanan, K. "Online Learning and Simulation Based Algorithms for Stochastic Optimization". Thesis, 2012. http://hdl.handle.net/2005/3245.
Texto completoLibros sobre el tema "Smoothed functional algorithms"
Moerder, Daniel D. Constrained minimization of smooth functions using a genetic algorithm. Hampton: National Aeronautics and Space Administration, Langley Research Center, 1994.
Buscar texto completoN, Pamadi Bandu y Langley Research Center, eds. Constrained minimization of smooth functions using a genetic algorithm. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1994.
Buscar texto completoFitting Smooth Functions to Data. American Mathematical Society, 2020.
Buscar texto completoCapítulos de libros sobre el tema "Smoothed functional algorithms"
Bhatnagar, S., H. Prasad y L. Prashanth. "Smoothed Functional Gradient Schemes". En Stochastic Recursive Algorithms for Optimization, 77–102. London: Springer London, 2013. http://dx.doi.org/10.1007/978-1-4471-4285-0_6.
Texto completoBhatnagar, S., H. Prasad y L. Prashanth. "Newton-Based Smoothed Functional Algorithms". En Stochastic Recursive Algorithms for Optimization, 133–48. London: Springer London, 2013. http://dx.doi.org/10.1007/978-1-4471-4285-0_8.
Texto completoLakshmanan, K. y Shalabh Bhatnagar. "Smoothed Functional and Quasi-Newton Algorithms for Routing in Multi-stage Queueing Network with Constraints". En Distributed Computing and Internet Technology, 175–86. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-19056-8_12.
Texto completoBläser, Markus, Bodo Manthey y B. V. Raghavendra Rao. "Smoothed Analysis of Partitioning Algorithms for Euclidean Functionals". En Lecture Notes in Computer Science, 110–21. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-22300-6_10.
Texto completoJ. Zaslavski, Alexander. "Gradient Algorithm with a Smooth Objective Function". En Convex Optimization with Computational Errors, 127–50. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-37822-6_4.
Texto completoZaslavski, Alexander J. "Gradient Algorithm with a Smooth Objective Function". En Springer Optimization and Its Applications, 59–72. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-30921-7_4.
Texto completoMok, RenHao y Mohd Ashraf Ahmad. "Power Production Optimization of Model-Free Wind Farm Using Smoothed Functional Algorithm". En Lecture Notes in Electrical Engineering, 679–89. Singapore: Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-8690-0_60.
Texto completoGiesl, Peter. "Towards Calculating the Basin of Attraction of Non-Smooth Dynamical Systems Using Radial Basis Functions". En Approximation Algorithms for Complex Systems, 205–25. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-16876-5_9.
Texto completoCruttwell, Geoffrey S. H., Bruno Gavranović, Neil Ghani, Paul Wilson y Fabio Zanasi. "Categorical Foundations of Gradient-Based Learning". En Programming Languages and Systems, 1–28. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-99336-8_1.
Texto completoBredies, Kristian. "Recovering Piecewise Smooth Multichannel Images by Minimization of Convex Functionals with Total Generalized Variation Penalty". En Efficient Algorithms for Global Optimization Methods in Computer Vision, 44–77. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-54774-4_3.
Texto completoActas de conferencias sobre el tema "Smoothed functional algorithms"
Ghoshdastidar, Debarghya, Ambedkar Dukkipati y Shalabh Bhatnagar. "q-Gaussian based Smoothed Functional algorithms for stochastic optimization". En 2012 IEEE International Symposium on Information Theory - ISIT. IEEE, 2012. http://dx.doi.org/10.1109/isit.2012.6283013.
Texto completoSegeth, Karel. "Multivariate smooth interpolation that employs polyharmonic functions". En Programs and Algorithms of Numerical Mathematics 19. Institute of Mathematics, Czech Academy of Sciences, 2019. http://dx.doi.org/10.21136/panm.2018.15.
Texto completoKhamisov, O. V. "Optimization with quadratic support functions in nonconvex smooth optimization". En NUMERICAL COMPUTATIONS: THEORY AND ALGORITHMS (NUMTA–2016): Proceedings of the 2nd International Conference “Numerical Computations: Theory and Algorithms”. Author(s), 2016. http://dx.doi.org/10.1063/1.4965331.
Texto completoMohanty, Amit y Bin Yao. "Indirect Adaptive Robust Control of Uncertain Systems With Unknown Asymmetric Input Deadband Using a Smooth Inverse". En ASME 2009 Dynamic Systems and Control Conference. ASMEDC, 2009. http://dx.doi.org/10.1115/dscc2009-2771.
Texto completoJuan Geng, Lai-Sheng Wang, Ai-Min Fu y Qi-Qing Song. "A smoothed rank function algorithm based Hyperbolic Tangent function for matrix completion". En 2012 International Conference on Machine Learning and Cybernetics (ICMLC). IEEE, 2012. http://dx.doi.org/10.1109/icmlc.2012.6359558.
Texto completoZhifu Cui, Hang Zhang y Wei Lu. "An improved smoothed l0-norm algorithm based on multiparameter approximation function". En 2010 12th IEEE International Conference on Communication Technology (ICCT). IEEE, 2010. http://dx.doi.org/10.1109/icct.2010.5688553.
Texto completoShadloo, Mostafa Safdari, Amir Zainali y Mehmet Yildiz. "Fluid-Structure Interaction Simulation by Smoothed Particle Hydrodynamics". En ASME 2010 3rd Joint US-European Fluids Engineering Summer Meeting collocated with 8th International Conference on Nanochannels, Microchannels, and Minichannels. ASMEDC, 2010. http://dx.doi.org/10.1115/fedsm-icnmm2010-31137.
Texto completoBorup, Liana y Alan Parkinson. "Comparison of Four Non-Derivative Optimization Methods on Two Problems Containing Heuristic and Analytic Knowledge". En ASME 1992 Design Technical Conferences. American Society of Mechanical Engineers, 1992. http://dx.doi.org/10.1115/detc1992-0114.
Texto completoVenkataraman, P. "Determining the Ordinary Differential Equation From Noisy Data". En ASME 2011 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2011. http://dx.doi.org/10.1115/detc2011-47658.
Texto completoXiao, Yichi, Zhe Li, Tianbao Yang y Lijun Zhang. "SVD-free Convex-Concave Approaches for Nuclear Norm Regularization". En Twenty-Sixth International Joint Conference on Artificial Intelligence. California: International Joint Conferences on Artificial Intelligence Organization, 2017. http://dx.doi.org/10.24963/ijcai.2017/436.
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