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Статті в журналах з теми "Smoothed functional algorithms"
Bhatnagar, Shalabh. "Adaptive Newton-based multivariate smoothed functional algorithms for simulation optimization." ACM Transactions on Modeling and Computer Simulation 18, no. 1 (December 2007): 1–35. http://dx.doi.org/10.1145/1315575.1315577.
Повний текст джерелаBhatnagar, Shalabh, and Vivek S. Borkar. "Multiscale Chaotic SPSA and Smoothed Functional Algorithms for Simulation Optimization." SIMULATION 79, no. 10 (October 2003): 568–80. http://dx.doi.org/10.1177/0037549703039988.
Повний текст джерелаGhoshdastidar, Debarghya, Ambedkar Dukkipati, and Shalabh Bhatnagar. "Smoothed Functional Algorithms for Stochastic Optimization Using q -Gaussian Distributions." ACM Transactions on Modeling and Computer Simulation 24, no. 3 (May 2, 2014): 1–26. http://dx.doi.org/10.1145/2628434.
Повний текст джерелаGhoshdastidar, Debarghya, Ambedkar Dukkipati, and Shalabh Bhatnagar. "Newton-based stochastic optimization using q-Gaussian smoothed functional algorithms." Automatica 50, no. 10 (October 2014): 2606–14. http://dx.doi.org/10.1016/j.automatica.2014.08.021.
Повний текст джерелаPrasad, H. L., L. A. Prashanth, Shalabh Bhatnagar, and Nirmit Desai. "Adaptive Smoothed Functional Algorithms for Optimal Staffing Levels in Service Systems." Service Science 5, no. 1 (March 2013): 29–55. http://dx.doi.org/10.1287/serv.1120.0035.
Повний текст джерелаLakshmanan, K., and Shalabh Bhatnagar. "Quasi-Newton smoothed functional algorithms for unconstrained and constrained simulation optimization." Computational Optimization and Applications 66, no. 3 (September 15, 2016): 533–56. http://dx.doi.org/10.1007/s10589-016-9875-4.
Повний текст джерелаNOROUZZADEH, P., B. RAHMANI, and M. S. NOROUZZADEH. "FORECASTING SMOOTHED NON-STATIONARY TIME SERIES USING GENETIC ALGORITHMS." International Journal of Modern Physics C 18, no. 06 (June 2007): 1071–86. http://dx.doi.org/10.1142/s0129183107011133.
Повний текст джерелаKostjukov, V. A., M. Y. Medvedev, and V. Kh Pshikhopov. "Algorithms for Planning Smoothed Individual Trajectories of Ground Robots." Mekhatronika, Avtomatizatsiya, Upravlenie 23, no. 11 (November 3, 2022): 585–95. http://dx.doi.org/10.17587/mau.23.585-595.
Повний текст джерелаVijayan, Nithia, and Prashanth L.A. "Smoothed functional-based gradient algorithms for off-policy reinforcement learning: A non-asymptotic viewpoint." Systems & Control Letters 155 (September 2021): 104988. http://dx.doi.org/10.1016/j.sysconle.2021.104988.
Повний текст джерелаCheng, Chuen-Sheng, Pei-Wen Chen, and Yu-Tang Wu. "Phase I Analysis of Nonlinear Profiles Using Anomaly Detection Techniques." Applied Sciences 13, no. 4 (February 7, 2023): 2147. http://dx.doi.org/10.3390/app13042147.
Повний текст джерелаДисертації з теми "Smoothed functional algorithms"
Sällberg, Gustav, and 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.
Повний текст джерелаBarajas, 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.
Повний текст джерелаVestin, Albin, and 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.
Повний текст джерелаLakshmanan, K. "Online Learning and Simulation Based Algorithms for Stochastic Optimization." Thesis, 2012. http://hdl.handle.net/2005/3245.
Повний текст джерелаКниги з теми "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.
Знайти повний текст джерелаN, Pamadi Bandu, and Langley Research Center, eds. Constrained minimization of smooth functions using a genetic algorithm. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1994.
Знайти повний текст джерелаFitting Smooth Functions to Data. American Mathematical Society, 2020.
Знайти повний текст джерелаЧастини книг з теми "Smoothed functional algorithms"
Bhatnagar, S., H. Prasad, and L. Prashanth. "Smoothed Functional Gradient Schemes." In Stochastic Recursive Algorithms for Optimization, 77–102. London: Springer London, 2013. http://dx.doi.org/10.1007/978-1-4471-4285-0_6.
Повний текст джерелаBhatnagar, S., H. Prasad, and L. Prashanth. "Newton-Based Smoothed Functional Algorithms." In Stochastic Recursive Algorithms for Optimization, 133–48. London: Springer London, 2013. http://dx.doi.org/10.1007/978-1-4471-4285-0_8.
Повний текст джерелаLakshmanan, K., and Shalabh Bhatnagar. "Smoothed Functional and Quasi-Newton Algorithms for Routing in Multi-stage Queueing Network with Constraints." In 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.
Повний текст джерелаBläser, Markus, Bodo Manthey, and B. V. Raghavendra Rao. "Smoothed Analysis of Partitioning Algorithms for Euclidean Functionals." In 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.
Повний текст джерелаJ. Zaslavski, Alexander. "Gradient Algorithm with a Smooth Objective Function." In Convex Optimization with Computational Errors, 127–50. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-37822-6_4.
Повний текст джерелаZaslavski, Alexander J. "Gradient Algorithm with a Smooth Objective Function." In Springer Optimization and Its Applications, 59–72. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-30921-7_4.
Повний текст джерелаMok, RenHao, and Mohd Ashraf Ahmad. "Power Production Optimization of Model-Free Wind Farm Using Smoothed Functional Algorithm." In Lecture Notes in Electrical Engineering, 679–89. Singapore: Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-8690-0_60.
Повний текст джерелаGiesl, Peter. "Towards Calculating the Basin of Attraction of Non-Smooth Dynamical Systems Using Radial Basis Functions." In 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.
Повний текст джерелаCruttwell, Geoffrey S. H., Bruno Gavranović, Neil Ghani, Paul Wilson, and Fabio Zanasi. "Categorical Foundations of Gradient-Based Learning." In Programming Languages and Systems, 1–28. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-99336-8_1.
Повний текст джерелаBredies, Kristian. "Recovering Piecewise Smooth Multichannel Images by Minimization of Convex Functionals with Total Generalized Variation Penalty." In 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.
Повний текст джерелаТези доповідей конференцій з теми "Smoothed functional algorithms"
Ghoshdastidar, Debarghya, Ambedkar Dukkipati, and Shalabh Bhatnagar. "q-Gaussian based Smoothed Functional algorithms for stochastic optimization." In 2012 IEEE International Symposium on Information Theory - ISIT. IEEE, 2012. http://dx.doi.org/10.1109/isit.2012.6283013.
Повний текст джерелаSegeth, Karel. "Multivariate smooth interpolation that employs polyharmonic functions." In Programs and Algorithms of Numerical Mathematics 19. Institute of Mathematics, Czech Academy of Sciences, 2019. http://dx.doi.org/10.21136/panm.2018.15.
Повний текст джерелаKhamisov, O. V. "Optimization with quadratic support functions in nonconvex smooth optimization." In 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.
Повний текст джерелаMohanty, Amit, and Bin Yao. "Indirect Adaptive Robust Control of Uncertain Systems With Unknown Asymmetric Input Deadband Using a Smooth Inverse." In ASME 2009 Dynamic Systems and Control Conference. ASMEDC, 2009. http://dx.doi.org/10.1115/dscc2009-2771.
Повний текст джерелаJuan Geng, Lai-Sheng Wang, Ai-Min Fu, and Qi-Qing Song. "A smoothed rank function algorithm based Hyperbolic Tangent function for matrix completion." In 2012 International Conference on Machine Learning and Cybernetics (ICMLC). IEEE, 2012. http://dx.doi.org/10.1109/icmlc.2012.6359558.
Повний текст джерелаZhifu Cui, Hang Zhang, and Wei Lu. "An improved smoothed l0-norm algorithm based on multiparameter approximation function." In 2010 12th IEEE International Conference on Communication Technology (ICCT). IEEE, 2010. http://dx.doi.org/10.1109/icct.2010.5688553.
Повний текст джерелаShadloo, Mostafa Safdari, Amir Zainali, and Mehmet Yildiz. "Fluid-Structure Interaction Simulation by Smoothed Particle Hydrodynamics." In 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.
Повний текст джерелаBorup, Liana, and Alan Parkinson. "Comparison of Four Non-Derivative Optimization Methods on Two Problems Containing Heuristic and Analytic Knowledge." In ASME 1992 Design Technical Conferences. American Society of Mechanical Engineers, 1992. http://dx.doi.org/10.1115/detc1992-0114.
Повний текст джерелаVenkataraman, P. "Determining the Ordinary Differential Equation From Noisy Data." In ASME 2011 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2011. http://dx.doi.org/10.1115/detc2011-47658.
Повний текст джерелаXiao, Yichi, Zhe Li, Tianbao Yang, and Lijun Zhang. "SVD-free Convex-Concave Approaches for Nuclear Norm Regularization." In 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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