Literatura académica sobre el tema "Smoothing problems"
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Artículos de revistas sobre el tema "Smoothing problems"
Cipra, Tomáš. "Some problems of exponential smoothing". Applications of Mathematics 34, n.º 2 (1989): 161–69. http://dx.doi.org/10.21136/am.1989.104344.
Texto completoAsmuss, Svetlana y Natalja Budkina. "ON SOME GENERALIZATION OF SMOOTHING PROBLEMS". Mathematical Modelling and Analysis 20, n.º 3 (2 de junio de 2015): 311–28. http://dx.doi.org/10.3846/13926292.2015.1048756.
Texto completoYin, Hongxia. "An Adaptive Smoothing Method for Continuous Minimax Problems". Asia-Pacific Journal of Operational Research 32, n.º 01 (febrero de 2015): 1540001. http://dx.doi.org/10.1142/s0217595915400011.
Texto completoAsmuss, Svetlana y Natalia Budkina. "ON SMOOTHING PROBLEMS WITH ONE ADDITIONAL EQUALITY CONDITION". Mathematical Modelling and Analysis 14, n.º 2 (30 de junio de 2009): 159–68. http://dx.doi.org/10.3846/1392-6292.2009.14.159-168.
Texto completoZhou, Zhengyong y Qi Yang. "An Active Set Smoothing Method for Solving Unconstrained Minimax Problems". Mathematical Problems in Engineering 2020 (24 de junio de 2020): 1–25. http://dx.doi.org/10.1155/2020/9108150.
Texto completoYang, X. Q. "Smoothing approximations to nonsmooth optimization problems". Journal of the Australian Mathematical Society. Series B. Applied Mathematics 36, n.º 3 (enero de 1995): 274–85. http://dx.doi.org/10.1017/s0334270000010444.
Texto completoTsar'kov, I. G. "Linear methods in some smoothing problems". Mathematical Notes 56, n.º 6 (diciembre de 1994): 1255–70. http://dx.doi.org/10.1007/bf02266694.
Texto completoHaddou, Mounir y Patrick Maheux. "Smoothing Methods for Nonlinear Complementarity Problems". Journal of Optimization Theory and Applications 160, n.º 3 (12 de septiembre de 2013): 711–29. http://dx.doi.org/10.1007/s10957-013-0398-1.
Texto completoZhu, Jianguang y Binbin Hao. "A new smoothing method for solving nonlinear complementarity problems". Open Mathematics 17, n.º 1 (10 de marzo de 2019): 104–19. http://dx.doi.org/10.1515/math-2019-0011.
Texto completoWang, Jian, LingLing Shen, LeSheng Jin y Gang Qian. "Age Sequence Recursive Models for Long Time Evaluation Problems". International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 26, n.º 02 (abril de 2018): 299–325. http://dx.doi.org/10.1142/s0218488518500162.
Texto completoTesis sobre el tema "Smoothing problems"
Eichmann, Katrin. "Smoothing stochastic bang-bang problems". Doctoral thesis, Humboldt-Universität zu Berlin, Mathematisch-Naturwissenschaftliche Fakultät II, 2013. http://dx.doi.org/10.18452/16799.
Texto completoMotivated by the problem of how to optimally execute a large stock position, this thesis considers a stochastic control problem with two special properties. First, the control problem has an exponential delay in the control variable, and so the present value of the state process depends on the moving average of past control decisions. Second, the coefficients are assumed to be linear in the control variable. It is shown that a control problem with these properties generates a mathematically challenging problem. Specifically, it becomes a stochastic control problem whose solution (if one exists) has a bang-bang nature. The resulting discontinuity of the optimal solution creates difficulties in proving the existence of an optimal solution and in solving the problem with numerical methods. A sequence of stochastic control problems with state processes is constructed, whose diffusion matrices are invertible and approximate the original degenerate diffusion matrix. The cost functionals of the sequence of control problems are convex approximations of the original linear cost functional. To prove the convergence of the solutions, the control problems are written in the form of forward-backward stochastic differential equations (FBSDEs). It is then shown that the solutions of the FBSDEs corresponding to the constructed sequence of control problems converge in law, at least along a subsequence. By assuming convexity of the coefficients, it is then possible to construct from this limit an admissible control process which, for an appropriate reference stochastic system, is optimal for our original stochastic control problem. In addition to proving the existence of an optimal (bang-bang) solution, we obtain a smooth approximation of the discontinuous optimal bang-bang solution, which can be used for the numerical solution of the problem. These results are then applied to the optimal execution problem in form of numerical simulations.
Herrick, David Richard Mark. "Wavelet methods for curve and surface estimation". Thesis, University of Bristol, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.310601.
Texto completoXu, Song. "Non-interior path-following methods for complementarity problems /". Thesis, Connect to this title online; UW restricted, 1998. http://hdl.handle.net/1773/5793.
Texto completoLowe, Matthew. "Extended and Unscented Kalman Smoothing for Re-linearization of Nonlinear Problems with Applications". Digital WPI, 2015. https://digitalcommons.wpi.edu/etd-dissertations/457.
Texto completoEichmann, Katrin [Verfasser], Peter [Akademischer Betreuer] Imkeller, Ying [Akademischer Betreuer] Hu y Michael [Akademischer Betreuer] Kupper. "Smoothing stochastic bang-bang problems : with application to the optimal execution problem / Katrin Eichmann. Gutachter: Peter Imkeller ; Ying Hu ; Michael Kupper". Berlin : Humboldt Universität zu Berlin, Mathematisch-Naturwissenschaftliche Fakultät II, 2013. http://d-nb.info/1041284543/34.
Texto completoKlann, Esther. "Regularization of linear ill-posed problems in two steps : combination of data smoothing and reconstruction methods". kostenfrei, 2005. http://deposit.ddb.de/cgi-bin/dokserv?idn=979913039.
Texto completoPadoan, Simone. "Computational methods for complex problems in extreme value theory". Doctoral thesis, Università degli studi di Padova, 2008. http://hdl.handle.net/11577/3427194.
Texto completoRau, Christian y rau@maths anu edu au. "Curve Estimation and Signal Discrimination in Spatial Problems". The Australian National University. School of Mathematical Sciences, 2003. http://thesis.anu.edu.au./public/adt-ANU20031215.163519.
Texto completoYilmaz, Asim Egemen. "Finite Element Modeling Of Electromagnetic Scattering Problems Via Hexahedral Edge Elements". Phd thesis, METU, 2007. http://etd.lib.metu.edu.tr/upload/12608587/index.pdf.
Texto completoAudiard, Corentin. "Problèmes aux limites dispersifs linéaires non homogènes, application au système d’Euler-Korteweg". Thesis, Lyon 1, 2010. http://www.theses.fr/2010LYO10261/document.
Texto completoThe main aim of this thesis is to obtain well-posedness results for boundary value problems especially with non-homogeneous boundary conditions. The approach that we chose here is to adapt technics from the classical theory of hyperbolic boundary value problems (for which we give a brief survey in the first chapter, and a slight generalization). In chapter 3 we delimitate a class of linear dispersive equations, and we obtain well-posedness results for corresponding boundary value problems in chapter 4.The leading thread of this memoir is the Euler-Korteweg model. The boundary value problem for a linearized version is investigated in chapter 2, and the Kato-smoothing effect is proved (also for the linearized model) in chapter 3. Finally, the numerical analysis of the model is made in chapter 5. To begin with, we use the previous abstract results to show a simple way of deriving the so-called transparent boundary conditions for the equations outlined in chapter 3, and those conditions are then used to numerically solve the semi-linear Euler-Korteweg model. This allow us to observe the stability and instability of solitons, as well as a finite time blow up
Libros sobre el tema "Smoothing problems"
Semenovich, Zavʹi͡a︡lov I͡U︡riĭ, Pavlov N. N y Miroshnichenko V. L, eds. Ėkstremalʹnye svoĭstva splaĭnov i zadacha sglazhivanii͡a︡. Novosibirsk: Izd-vo "Nauka," Sibirskoe otd-nie, 1988.
Buscar texto completoHulett, Victoria L. Smoothies for kidney health: A delicious approach to the prevention and management of kidney problems & so much more. Garden City Park, NY: Square One Publishers, 2015.
Buscar texto completoUlbrich, Michael, Liqun Qi y Defeng Sun. Semismooth and Smoothing Newton Methods. Springer, 2021.
Buscar texto completoFerraty, Frédéric y Philippe Vieu. Kernel Regression Estimation for Functional Data. Editado por Frédéric Ferraty y Yves Romain. Oxford University Press, 2018. http://dx.doi.org/10.1093/oxfordhb/9780199568444.013.4.
Texto completoDelsol, Laurent. Nonparametric Methods for α-Mixing Functional Random Variables. Editado por Frédéric Ferraty y Yves Romain. Oxford University Press, 2018. http://dx.doi.org/10.1093/oxfordhb/9780199568444.013.5.
Texto completoKaraman, Sadi. Fixed point smoothing algorithm to the torpedo tracking problem. 1986.
Buscar texto completoMabray, Beaulah. Weight Problems: How to Prepare a Perfect, Delicious Green Smoothie. Independently Published, 2022.
Buscar texto completoGravina, Francis. Green Smoothie Recipes for You : Get Rid of Your Indigestion Problems, Sleeping Issues: Vegan Meal Plan. Independently Published, 2021.
Buscar texto completoButz, Martin V. y Esther F. Kutter. Primary Visual Perception from the Bottom Up. Oxford University Press, 2017. http://dx.doi.org/10.1093/acprof:oso/9780198739692.003.0008.
Texto completoQuickBooks® Pro Support+1(866∎751∎2963)Phone Number. mrinalt, 2022.
Buscar texto completoCapítulos de libros sobre el tema "Smoothing problems"
Nason, Guy P. y Bernard W. Silverman. "Wavelets for Regression and Other Statistical Problems". En Smoothing and Regression, 159–91. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2012. http://dx.doi.org/10.1002/9781118150658.ch7.
Texto completoGander, W. y Urs von Matt. "Smoothing Filters". En Solving Problems in Scientific Computing Using Maple and MATLAB®, 133–51. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-642-18873-2_9.
Texto completoGander, W. y U. von Matt. "Smoothing Filters". En Solving Problems in Scientific Computing Using Maple and Matlab ®, 121–39. Berlin, Heidelberg: Springer Berlin Heidelberg, 1993. http://dx.doi.org/10.1007/978-3-642-97533-2_9.
Texto completoGander, W. y U. von Matt. "Smoothing Filters". En Solving Problems in Scientific Computing Using Maple and MATLAB®, 121–39. Berlin, Heidelberg: Springer Berlin Heidelberg, 1995. http://dx.doi.org/10.1007/978-3-642-97619-3_9.
Texto completoGander, W. y U. von Matt. "Smoothing Filters". En Solving Problems in Scientific Computing Using Maple and MATLAB®, 135–52. Berlin, Heidelberg: Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/978-3-642-97953-8_9.
Texto completoBagirov, A. M., N. Sultanova, A. Al Nuaimat y S. Taheri. "Solving Minimax Problems: Local Smoothing Versus Global Smoothing". En Numerical Analysis and Optimization, 23–43. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-90026-1_2.
Texto completoEnander, Rickard. "Improved Residual Smoothing". En Nonlinear Hyperbolic Problems: Theoretical, Applied, and Computational Aspects, 192–98. Wiesbaden: Vieweg+Teubner Verlag, 1993. http://dx.doi.org/10.1007/978-3-322-87871-7_23.
Texto completoBerry, Scott M., Raymond J. Carroll y David Ruppert. "Bayesian Smoothing for Measurement Error Problems". En Total Least Squares and Errors-in-Variables Modeling, 121–30. Dordrecht: Springer Netherlands, 2002. http://dx.doi.org/10.1007/978-94-017-3552-0_11.
Texto completoRinott, Yosef y Natalie Shlomo. "A smoothing model for sample disclosure risk estimation". En Complex Datasets and Inverse Problems, 161–71. Beachwood, Ohio, USA: Institute of Mathematical Statistics, 2007. http://dx.doi.org/10.1214/074921707000000120.
Texto completoChen, Xiaojun, Nami Matsunaga y Tetsuro Yamamoto. "Smoothing Newton Methods for Nonsmooth Dirichlet Problems". En Reformulation: Nonsmooth, Piecewise Smooth, Semismooth and Smoothing Methods, 65–79. Boston, MA: Springer US, 1998. http://dx.doi.org/10.1007/978-1-4757-6388-1_4.
Texto completoActas de conferencias sobre el tema "Smoothing problems"
LAMM, PATRICIA K. "VARIABLE SMOOTHING REGULARIZATION METHODS FOR INVERSE PROBLEMS". En Proceedings of the 6th IEEE Mediterranean Conference. WORLD SCIENTIFIC, 1999. http://dx.doi.org/10.1142/9789814447317_0055.
Texto completo"Alternative smoothing algorithms for on-line estimation problems". En 29th Aerospace Sciences Meeting. Reston, Virigina: American Institute of Aeronautics and Astronautics, 1991. http://dx.doi.org/10.2514/6.1991-194.
Texto completoLukasik, Michal, Himanshu Jain, Aditya Menon, Seungyeon Kim, Srinadh Bhojanapalli, Felix Yu y Sanjiv Kumar. "Semantic Label Smoothing for Sequence to Sequence Problems". En Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP). Stroudsburg, PA, USA: Association for Computational Linguistics, 2020. http://dx.doi.org/10.18653/v1/2020.emnlp-main.405.
Texto completoGrimble, M. J. "H/sub infinity / inferential filtering, prediction and smoothing problems". En Proceedings of ICASSP '93. IEEE, 1993. http://dx.doi.org/10.1109/icassp.1993.319535.
Texto completoWu, Congwei, Jiping Cao y Yahong Zhu. "A Smoothing Multidimensional Filter Method for Nonlinear Complementarity Problems". En 2016 International Conference on Computer Science and Electronic Technology. Paris, France: Atlantis Press, 2016. http://dx.doi.org/10.2991/cset-16.2016.10.
Texto completoZhang, Meng, Jianhua Tao, Huibin Jia y Xia Wang. "Improving HMM Based Speech Synthesis by Reducing Over-Smoothing Problems". En 2008 6th International Symposium on Chinese Spoken Language Processing (ISCSLP). IEEE, 2008. http://dx.doi.org/10.1109/chinsl.2008.ecp.16.
Texto completoGoldman, Paul y Agnes Muszynska. "Smoothing Technique for Rub or Looseness-Related Rotor Dynamic Problems". En ASME 1995 Design Engineering Technical Conferences collocated with the ASME 1995 15th International Computers in Engineering Conference and the ASME 1995 9th Annual Engineering Database Symposium. American Society of Mechanical Engineers, 1995. http://dx.doi.org/10.1115/detc1995-0297.
Texto completoYousefian, Farzad, Angelia Nedic y Uday V. Shanbhag. "Optimal robust smoothing extragradient algorithms for stochastic variational inequality problems". En 2014 IEEE 53rd Annual Conference on Decision and Control (CDC). IEEE, 2014. http://dx.doi.org/10.1109/cdc.2014.7040302.
Texto completoTsvil, Mariya, Ella Guleva y Margarita Zubkova. "ECONOMETRIC ANALYSIS OF THE VOLUME OF MUTUAL TRADE OF THE EAEU MEMBER STATES". En Economy of Russia: problems, trends, forecasts. au: AUS PUBLISHERS, 2021. http://dx.doi.org/10.26526/conferencearticle_61cc296bccac42.37597958.
Texto completoXavier, Vinicius, L., Felipe, M. G. França, Adilson, E. Xavier y Priscila, M. V. Lima. "Fermat-weber location problem solving by the hyperbolic smoothing approach". En International Workshop of "Stochastic Programming for Implementation and Advanced Applications". The Association of Lithuanian Serials, 2012. http://dx.doi.org/10.5200/stoprog.2012.26.
Texto completoInformes sobre el tema "Smoothing problems"
Pee, E. Y. y J. O. Royset. On Solving Large-Scale Finite Minimax Problems using Exponential Smoothing. Fort Belvoir, VA: Defense Technical Information Center, enero de 2010. http://dx.doi.org/10.21236/ada518716.
Texto completoElliott, Robert J. The Existence of Smooth Densities for the Prediction Filtering and Smoothing Problems. Fort Belvoir, VA: Defense Technical Information Center, noviembre de 1987. http://dx.doi.org/10.21236/ada189865.
Texto completoRoyset, J. O. y E. Y. Pee. Rate of Convergence Analysis of Discretization and Smoothing Algorithms for Semi-Infinite Minimax Problems. Fort Belvoir, VA: Defense Technical Information Center, junio de 2011. http://dx.doi.org/10.21236/ada551990.
Texto completoAndrian, Leandro Gaston, Oscar Valencia, Jorge Hirs y Ivan Leonardo Urrea Rios. Fiscal Rules and Economic Cycles: Quality (Always) Matters. Inter-American Development Bank, enero de 2023. http://dx.doi.org/10.18235/0004570.
Texto completoBabuska, Ivo M. y Rodolfo Rodriguez. The Problem of the Selection of an A-Posteriori Error Indicator Based on Smoothening Techniques. Fort Belvoir, VA: Defense Technical Information Center, agosto de 1991. http://dx.doi.org/10.21236/ada253401.
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