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Статті в журналах з теми "Smoothing problems"
Cipra, Tomáš. "Some problems of exponential smoothing." Applications of Mathematics 34, no. 2 (1989): 161–69. http://dx.doi.org/10.21136/am.1989.104344.
Повний текст джерелаAsmuss, Svetlana, and Natalja Budkina. "ON SOME GENERALIZATION OF SMOOTHING PROBLEMS." Mathematical Modelling and Analysis 20, no. 3 (June 2, 2015): 311–28. http://dx.doi.org/10.3846/13926292.2015.1048756.
Повний текст джерелаYin, Hongxia. "An Adaptive Smoothing Method for Continuous Minimax Problems." Asia-Pacific Journal of Operational Research 32, no. 01 (February 2015): 1540001. http://dx.doi.org/10.1142/s0217595915400011.
Повний текст джерелаAsmuss, Svetlana, and Natalia Budkina. "ON SMOOTHING PROBLEMS WITH ONE ADDITIONAL EQUALITY CONDITION." Mathematical Modelling and Analysis 14, no. 2 (June 30, 2009): 159–68. http://dx.doi.org/10.3846/1392-6292.2009.14.159-168.
Повний текст джерелаZhou, Zhengyong, and Qi Yang. "An Active Set Smoothing Method for Solving Unconstrained Minimax Problems." Mathematical Problems in Engineering 2020 (June 24, 2020): 1–25. http://dx.doi.org/10.1155/2020/9108150.
Повний текст джерелаYang, X. Q. "Smoothing approximations to nonsmooth optimization problems." Journal of the Australian Mathematical Society. Series B. Applied Mathematics 36, no. 3 (January 1995): 274–85. http://dx.doi.org/10.1017/s0334270000010444.
Повний текст джерелаTsar'kov, I. G. "Linear methods in some smoothing problems." Mathematical Notes 56, no. 6 (December 1994): 1255–70. http://dx.doi.org/10.1007/bf02266694.
Повний текст джерелаHaddou, Mounir, and Patrick Maheux. "Smoothing Methods for Nonlinear Complementarity Problems." Journal of Optimization Theory and Applications 160, no. 3 (September 12, 2013): 711–29. http://dx.doi.org/10.1007/s10957-013-0398-1.
Повний текст джерелаZhu, Jianguang, and Binbin Hao. "A new smoothing method for solving nonlinear complementarity problems." Open Mathematics 17, no. 1 (March 10, 2019): 104–19. http://dx.doi.org/10.1515/math-2019-0011.
Повний текст джерелаWang, Jian, LingLing Shen, LeSheng Jin, and Gang Qian. "Age Sequence Recursive Models for Long Time Evaluation Problems." International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 26, no. 02 (April 2018): 299–325. http://dx.doi.org/10.1142/s0218488518500162.
Повний текст джерелаДисертації з теми "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.
Повний текст джерелаMotivated 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.
Повний текст джерелаXu, Song. "Non-interior path-following methods for complementarity problems /." Thesis, Connect to this title online; UW restricted, 1998. http://hdl.handle.net/1773/5793.
Повний текст джерелаLowe, Matthew. "Extended and Unscented Kalman Smoothing for Re-linearization of Nonlinear Problems with Applications." Digital WPI, 2015. https://digitalcommons.wpi.edu/etd-dissertations/457.
Повний текст джерелаEichmann, Katrin [Verfasser], Peter [Akademischer Betreuer] Imkeller, Ying [Akademischer Betreuer] Hu, and 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.
Повний текст джерелаKlann, 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.
Повний текст джерелаPadoan, Simone. "Computational methods for complex problems in extreme value theory." Doctoral thesis, Università degli studi di Padova, 2008. http://hdl.handle.net/11577/3427194.
Повний текст джерелаRau, Christian, and 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.
Повний текст джерелаYilmaz, 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.
Повний текст джерелаAudiard, Corentin. "Problèmes aux limites dispersifs linéaires non homogènes, application au système d’Euler-Korteweg." Thesis, Lyon 1, 2010. http://www.theses.fr/2010LYO10261/document.
Повний текст джерелаThe 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
Книги з теми "Smoothing problems"
Semenovich, Zavʹi͡a︡lov I͡U︡riĭ, Pavlov N. N та Miroshnichenko V. L, ред. Ėkstremalʹnye svoĭstva splaĭnov i zadacha sglazhivanii͡a︡. Novosibirsk: Izd-vo "Nauka," Sibirskoe otd-nie, 1988.
Знайти повний текст джерелаHulett, 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.
Знайти повний текст джерелаUlbrich, Michael, Liqun Qi, and Defeng Sun. Semismooth and Smoothing Newton Methods. Springer, 2021.
Знайти повний текст джерелаFerraty, Frédéric, and Philippe Vieu. Kernel Regression Estimation for Functional Data. Edited by Frédéric Ferraty and Yves Romain. Oxford University Press, 2018. http://dx.doi.org/10.1093/oxfordhb/9780199568444.013.4.
Повний текст джерелаDelsol, Laurent. Nonparametric Methods for α-Mixing Functional Random Variables. Редактори Frédéric Ferraty та Yves Romain. Oxford University Press, 2018. http://dx.doi.org/10.1093/oxfordhb/9780199568444.013.5.
Повний текст джерелаKaraman, Sadi. Fixed point smoothing algorithm to the torpedo tracking problem. 1986.
Знайти повний текст джерелаMabray, Beaulah. Weight Problems: How to Prepare a Perfect, Delicious Green Smoothie. Independently Published, 2022.
Знайти повний текст джерелаGravina, Francis. Green Smoothie Recipes for You : Get Rid of Your Indigestion Problems, Sleeping Issues: Vegan Meal Plan. Independently Published, 2021.
Знайти повний текст джерелаButz, Martin V., and 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.
Повний текст джерелаQuickBooks® Pro Support+1(866∎751∎2963)Phone Number. mrinalt, 2022.
Знайти повний текст джерелаЧастини книг з теми "Smoothing problems"
Nason, Guy P., and Bernard W. Silverman. "Wavelets for Regression and Other Statistical Problems." In Smoothing and Regression, 159–91. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2012. http://dx.doi.org/10.1002/9781118150658.ch7.
Повний текст джерелаGander, W., and Urs von Matt. "Smoothing Filters." In 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.
Повний текст джерелаGander, W., and U. von Matt. "Smoothing Filters." In 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.
Повний текст джерелаGander, W., and U. von Matt. "Smoothing Filters." In 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.
Повний текст джерелаGander, W., and U. von Matt. "Smoothing Filters." In 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.
Повний текст джерелаBagirov, A. M., N. Sultanova, A. Al Nuaimat, and S. Taheri. "Solving Minimax Problems: Local Smoothing Versus Global Smoothing." In Numerical Analysis and Optimization, 23–43. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-90026-1_2.
Повний текст джерелаEnander, Rickard. "Improved Residual Smoothing." In 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.
Повний текст джерелаBerry, Scott M., Raymond J. Carroll, and David Ruppert. "Bayesian Smoothing for Measurement Error Problems." In 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.
Повний текст джерелаRinott, Yosef, and Natalie Shlomo. "A smoothing model for sample disclosure risk estimation." In Complex Datasets and Inverse Problems, 161–71. Beachwood, Ohio, USA: Institute of Mathematical Statistics, 2007. http://dx.doi.org/10.1214/074921707000000120.
Повний текст джерелаChen, Xiaojun, Nami Matsunaga, and Tetsuro Yamamoto. "Smoothing Newton Methods for Nonsmooth Dirichlet Problems." In 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.
Повний текст джерелаТези доповідей конференцій з теми "Smoothing problems"
LAMM, PATRICIA K. "VARIABLE SMOOTHING REGULARIZATION METHODS FOR INVERSE PROBLEMS." In Proceedings of the 6th IEEE Mediterranean Conference. WORLD SCIENTIFIC, 1999. http://dx.doi.org/10.1142/9789814447317_0055.
Повний текст джерела"Alternative smoothing algorithms for on-line estimation problems." In 29th Aerospace Sciences Meeting. Reston, Virigina: American Institute of Aeronautics and Astronautics, 1991. http://dx.doi.org/10.2514/6.1991-194.
Повний текст джерелаLukasik, Michal, Himanshu Jain, Aditya Menon, Seungyeon Kim, Srinadh Bhojanapalli, Felix Yu, and Sanjiv Kumar. "Semantic Label Smoothing for Sequence to Sequence Problems." In 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.
Повний текст джерелаGrimble, M. J. "H/sub infinity / inferential filtering, prediction and smoothing problems." In Proceedings of ICASSP '93. IEEE, 1993. http://dx.doi.org/10.1109/icassp.1993.319535.
Повний текст джерелаWu, Congwei, Jiping Cao, and Yahong Zhu. "A Smoothing Multidimensional Filter Method for Nonlinear Complementarity Problems." In 2016 International Conference on Computer Science and Electronic Technology. Paris, France: Atlantis Press, 2016. http://dx.doi.org/10.2991/cset-16.2016.10.
Повний текст джерелаZhang, Meng, Jianhua Tao, Huibin Jia, and Xia Wang. "Improving HMM Based Speech Synthesis by Reducing Over-Smoothing Problems." In 2008 6th International Symposium on Chinese Spoken Language Processing (ISCSLP). IEEE, 2008. http://dx.doi.org/10.1109/chinsl.2008.ecp.16.
Повний текст джерелаGoldman, Paul, and Agnes Muszynska. "Smoothing Technique for Rub or Looseness-Related Rotor Dynamic Problems." In 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.
Повний текст джерелаYousefian, Farzad, Angelia Nedic, and Uday V. Shanbhag. "Optimal robust smoothing extragradient algorithms for stochastic variational inequality problems." In 2014 IEEE 53rd Annual Conference on Decision and Control (CDC). IEEE, 2014. http://dx.doi.org/10.1109/cdc.2014.7040302.
Повний текст джерелаTsvil, Mariya, Ella Guleva, and Margarita Zubkova. "ECONOMETRIC ANALYSIS OF THE VOLUME OF MUTUAL TRADE OF THE EAEU MEMBER STATES." In Economy of Russia: problems, trends, forecasts. au: AUS PUBLISHERS, 2021. http://dx.doi.org/10.26526/conferencearticle_61cc296bccac42.37597958.
Повний текст джерелаXavier, Vinicius, L., Felipe, M. G. França, Adilson, E. Xavier, and Priscila, M. V. Lima. "Fermat-weber location problem solving by the hyperbolic smoothing approach." In 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.
Повний текст джерелаЗвіти організацій з теми "Smoothing problems"
Pee, E. Y., and J. O. Royset. On Solving Large-Scale Finite Minimax Problems using Exponential Smoothing. Fort Belvoir, VA: Defense Technical Information Center, January 2010. http://dx.doi.org/10.21236/ada518716.
Повний текст джерелаElliott, Robert J. The Existence of Smooth Densities for the Prediction Filtering and Smoothing Problems. Fort Belvoir, VA: Defense Technical Information Center, November 1987. http://dx.doi.org/10.21236/ada189865.
Повний текст джерелаRoyset, J. O., and E. Y. Pee. Rate of Convergence Analysis of Discretization and Smoothing Algorithms for Semi-Infinite Minimax Problems. Fort Belvoir, VA: Defense Technical Information Center, June 2011. http://dx.doi.org/10.21236/ada551990.
Повний текст джерелаAndrian, Leandro Gaston, Oscar Valencia, Jorge Hirs, and Ivan Leonardo Urrea Rios. Fiscal Rules and Economic Cycles: Quality (Always) Matters. Inter-American Development Bank, January 2023. http://dx.doi.org/10.18235/0004570.
Повний текст джерелаBabuska, Ivo M., and Rodolfo Rodriguez. The Problem of the Selection of an A-Posteriori Error Indicator Based on Smoothening Techniques. Fort Belvoir, VA: Defense Technical Information Center, August 1991. http://dx.doi.org/10.21236/ada253401.
Повний текст джерела