Gotowa bibliografia na temat „Simulation methods”
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Artykuły w czasopismach na temat "Simulation methods"
Ripley, B. D., i M. D. Kirkland. "Iterative simulation methods". Journal of Computational and Applied Mathematics 31, nr 1 (lipiec 1990): 165–72. http://dx.doi.org/10.1016/0377-0427(90)90347-3.
Pełny tekst źródłaFagbade, Adeyemi, i Stefan Heinz. "Continuous Eddy Simulation vs. Resolution-Imposing Simulation Methods for Turbulent Flows". Fluids 9, nr 1 (10.01.2024): 22. http://dx.doi.org/10.3390/fluids9010022.
Pełny tekst źródłaPodolskaya, Nina A. "Network Simulation: Tasks and Methods of Their Solution". International Journal of Computer Theory and Engineering 6, nr 5 (październik 2014): 392–95. http://dx.doi.org/10.7763/ijcte.2014.v6.896.
Pełny tekst źródłaZäh, Michael F., i Alexander Schober. "Innovative welding simulation methods". ATZproduktion worldwide 3, nr 1 (luty 2010): 32–36. http://dx.doi.org/10.1007/bf03224215.
Pełny tekst źródłaMillington, James D. A., i John Wainwright. "Mixed qualitative-simulation methods". Progress in Human Geography 41, nr 1 (10.07.2016): 68–88. http://dx.doi.org/10.1177/0309132515627021.
Pełny tekst źródłaAndersen, Torben G. "SIMULATION-BASED ECONOMETRIC METHODS". Econometric Theory 16, nr 1 (luty 2000): 131–38. http://dx.doi.org/10.1017/s0266466600001080.
Pełny tekst źródłaTikhonov, V., i R. Veenhof. "GEM simulation methods development". Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment 478, nr 1-2 (luty 2002): 452–59. http://dx.doi.org/10.1016/s0168-9002(01)01801-0.
Pełny tekst źródłaGuha, Ratan, i Mostafa Bassiouni. "Simulation Methods and Applications". Simulation Practice and Theory 9, nr 3-5 (kwiecień 2002): 91–93. http://dx.doi.org/10.1016/s0928-4869(01)00056-8.
Pełny tekst źródłaElber, Ron. "Long-timescale simulation methods". Current Opinion in Structural Biology 15, nr 2 (kwiecień 2005): 151–56. http://dx.doi.org/10.1016/j.sbi.2005.02.004.
Pełny tekst źródłaBarrett, John H. "Methods of channeling simulation". Nuclear Instruments and Methods in Physics Research Section B: Beam Interactions with Materials and Atoms 44, nr 3 (styczeń 1990): 367–72. http://dx.doi.org/10.1016/0168-583x(90)90652-b.
Pełny tekst źródłaRozprawy doktorskie na temat "Simulation methods"
Azhar, Mueed [Verfasser], i Jan G. [Akademischer Betreuer] Korvink. "Simulation of NMR experiments using particle simulation methods". Freiburg : Universität, 2018. http://d-nb.info/1155722485/34.
Pełny tekst źródłaMauron, Laurent. "Pedestrians simulation methods Diploma thesis /". Zürich : ETH, Eidgenössische Technische Hochschule Zürich, [Department of Computer Science, Simulation Group], 2002. http://e-collection.ethbib.ethz.ch/show?type=dipl&nr=136.
Pełny tekst źródłaBekker, Hendrik. "Molecular dynamics simulation methods revised". [Groningen] : [Groningen] : Rijksuniversiteit Groningen ; [University Library Groningen] [Host], 1996. http://irs.ub.rug.nl/ppn/14860532X.
Pełny tekst źródłaLow, Hamish Wallace. "Simulation methods and economic analysis". Thesis, University College London (University of London), 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.392495.
Pełny tekst źródłaVidal-Codina, Ferran. "Simulation methods for plasmonic structures". Thesis, Massachusetts Institute of Technology, 2017. http://hdl.handle.net/1721.1/112460.
Pełny tekst źródłaCataloged from PDF version of thesis.
Includes bibliographical references (pages 129-148).
In the recent years there has been a growing interest in studying electromagnetic wave propagation at the nanoscale. The interaction of light with metallic nanostructures produces a collective excitation of conduction electrons at the metal surface, also known as surface plasmons. These plasmonic resonances enable an unprecedented control of light by confining the electromagnetic field to regions well beyond the diffraction limit, thereby leading to nearfield enhancements of the incident wave of several orders of magnitude. These remarkable properties have motivated the application of plasmonic devices in sensing, nano-resolution imaging, energy harvesting, nanoscale electronics and cancer treatment. Despite state-of-the-art nanofabrication techniques are used to realize plasmonic devices, their performance is severely impacted by fabrication uncertainties arising from extreme manufacturing constraints. Mathematical modeling and numerical simulation are therefore essential to accurately predict the response of the physical system, and must be incorporated in the design process. Nonetheless, plasmonic simulations present notable challenges. From the physical perspective, the realistic behavior of conduction electrons in metallic nanostructures is not captured by Maxwell's equations, thus requiring additional modeling. From the simulation perspective, the disparity in length scales stemming from the extreme field localization exceeds the capabilities of most numerical simulation schemes. In addition, relevant data such as optical constants or geometry specifications are typically subject to measurement and manufacturing errors, hence simulations need to accommodate uncertainty in the data. In this thesis we present a collection of numerical methods to efficiently simulate electromagnetic wave propagation through metallic nanostructures. Firstly, we develop the hybridizable discontinuous Galerkin (HDG) method for Maxwell's equations augmented with the hydrodynamic model for metals, which accounts for the nonlocal interactions between electrons that become predominant at nanometric regimes. Secondly, we develop a reduced order modeling (ROM) framework for Maxwell's equations with the HDG method, enabling the incorporation of material and geometric uncertainties in the simulations. The result is a family of surrogate models that produces accurate yet inexpensive simulations of plasmonic devices. Finally, we apply these approaches to the study of periodic annular nanogaps, and present parametric analyses, verification with experimental data and design of novel structures.
by Ferran Vidal-Codina.
Ph. D.
Fithen, Robert Miller. "Adaptive finite element simulation of incompressible viscous flow". Diss., This resource online, 1993. http://scholar.lib.vt.edu/theses/available/etd-06062008-170423/.
Pełny tekst źródłaIsaksson, Erik. "Simulation methods for bumper system development". Licentiate thesis, Luleå : Luleå tekniska universitet/Tillämpad fysik, maskin- och materialteknik/Hållfasthetslära, 2006. http://epubl.ltu.se/1402-1757/2006/55/LTU-LIC-0655-SE.pdf.
Pełny tekst źródłaHomem, de Mello Tito. "Simulation-based methods for stochastic optimization". Diss., Georgia Institute of Technology, 1998. http://hdl.handle.net/1853/24846.
Pełny tekst źródłaDenison, David George Taylor. "Simulation based Bayesian nonparametric regression methods". Thesis, Imperial College London, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.266105.
Pełny tekst źródłaSturdy, Yvette Katherine. "Molecular simulation with path integral methods". Thesis, University of Oxford, 2006. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.436950.
Pełny tekst źródłaKsiążki na temat "Simulation methods"
Michael, Kotelyanskii, i Theodorou Doros Nicolas, red. Simulation methods for polymers. New York: Marcel Dekker, 2004.
Znajdź pełny tekst źródła1943-, Monfort Alain, red. Simulation-based econometric methods. Oxford: Oxford University Press, 1996.
Znajdź pełny tekst źródłaHaile, J. M. Molecular dynamics simulation: Elementary methods. New York: Wiley, 1992.
Znajdź pełny tekst źródłaBalakrishnan, N., V. B. Melas i S. Ermakov, red. Advances in Stochastic Simulation Methods. Boston, MA: Birkhäuser Boston, 2000. http://dx.doi.org/10.1007/978-1-4612-1318-5.
Pełny tekst źródłaJoppich, Wolfgang, i Slobodan Mijalković. Multigrid Methods for Process Simulation. Vienna: Springer Vienna, 1993. http://dx.doi.org/10.1007/978-3-7091-9253-5.
Pełny tekst źródłaBeer, Gernot, i Stéphane Bordas, red. Isogeometric Methods for Numerical Simulation. Vienna: Springer Vienna, 2015. http://dx.doi.org/10.1007/978-3-7091-1843-6.
Pełny tekst źródłaRoss, Richard B., i Sanat Mohanty, red. Multiscale Simulation Methods for Nanomaterials. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2007. http://dx.doi.org/10.1002/9780470191675.
Pełny tekst źródłaM, Cerrolaza, Gajardo C i Brebbia C. A, red. Numerical methods in engineering simulation. Southampton: Computational Mechanics Publication, 1996.
Znajdź pełny tekst źródłaJoppich, Wolfgang. Multigrid Methods for Process Simulation. Vienna: Springer Vienna, 1993.
Znajdź pełny tekst źródłaBalakrishnan, N., S. M. Ermakov i V. B. Melas. Advances in stochastic simulation methods. New York: Springer, 2000.
Znajdź pełny tekst źródłaCzęści książek na temat "Simulation methods"
Deutsch, Hans-Peter, i Mark W. Beinker. "Simulation Methods". W Derivatives and Internal Models, 559–67. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-22899-6_23.
Pełny tekst źródłaIvory, Melody Y. "Simulation Methods". W Automated Web Site Evaluation, 53–56. Dordrecht: Springer Netherlands, 2003. http://dx.doi.org/10.1007/978-94-017-0375-8_7.
Pełny tekst źródłaVorländer, Michael. "Simulation Methods". W Auralization, 145–69. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-51202-6_10.
Pełny tekst źródłaWasserman, Larry. "Simulation Methods". W Springer Texts in Statistics, 403–33. New York, NY: Springer New York, 2004. http://dx.doi.org/10.1007/978-0-387-21736-9_24.
Pełny tekst źródłaDeutsch, Hans-Peter. "Simulation Methods". W Derivatives and Internal Models, 427–33. London: Palgrave Macmillan UK, 2004. http://dx.doi.org/10.1057/9781403946089_23.
Pełny tekst źródłaHellström, Sten. "Simulation methods". W ESD — The Scourge of Electronics, 128–35. Berlin, Heidelberg: Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/978-3-642-80302-4_10.
Pełny tekst źródłaMüller, Mark, i Dietmar Pfahl. "Simulation Methods". W Guide to Advanced Empirical Software Engineering, 117–52. London: Springer London, 2008. http://dx.doi.org/10.1007/978-1-84800-044-5_5.
Pełny tekst źródłaAlbrecher, Hansjoerg, Andreas Binder, Volkmar Lautscham i Philipp Mayer. "Simulation Methods". W Compact Textbooks in Mathematics, 117–31. Basel: Springer Basel, 2013. http://dx.doi.org/10.1007/978-3-0348-0519-3_11.
Pełny tekst źródłaEngel, Megan Clare. "Simulation Methods". W DNA Systems Under Internal and External Forcing, 19–24. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-25413-1_2.
Pełny tekst źródłaDeutsch, Hans-Peter. "Simulation Methods". W Derivatives and Internal Models, 419–25. London: Palgrave Macmillan UK, 2002. http://dx.doi.org/10.1057/9780230502109_23.
Pełny tekst źródłaStreszczenia konferencji na temat "Simulation methods"
Kippe, Vegard, Haakon Haegland i Knut-Andreas Lie. "A Method To Improve the Mass Balance in Streamline Methods". W SPE Reservoir Simulation Symposium. Society of Petroleum Engineers, 2007. http://dx.doi.org/10.2118/106250-ms.
Pełny tekst źródłaBertiger, W. I., i F. J. Kelsey. "Inexact Adaptive Newton Methods". W SPE Reservoir Simulation Symposium. Society of Petroleum Engineers, 1985. http://dx.doi.org/10.2118/13501-ms.
Pełny tekst źródłaRiether, Gernot, i Tom Butler. "Simulation Space". W eCAADe 2008: Architecture "in computro" - Integrating methods and techniques. eCAADe, 2008. http://dx.doi.org/10.52842/conf.ecaade.2008.133.
Pełny tekst źródłaRiether, Gernot, i Tom Butler. "Simulation Space". W eCAADe 2008: Architecture "in computro" - Integrating methods and techniques. eCAADe, 2008. http://dx.doi.org/10.52842/conf.ecaade.2008.133.
Pełny tekst źródłaFlorez, Horacio, Mary Wheeler i Adolfo Rodriguez. "Domain Decomposition Methods in Geomechanics". W SPE Reservoir Simulation Symposium. Society of Petroleum Engineers, 2013. http://dx.doi.org/10.2118/163674-ms.
Pełny tekst źródłaBasden, Alastair, Richard Myers i Timothy Butterley. "Monte-Carlo simulation of EAGLE". W Adaptive Optics: Methods, Analysis and Applications. Washington, D.C.: OSA, 2009. http://dx.doi.org/10.1364/aopt.2009.aotud4.
Pełny tekst źródłaM. J. Tarokh. "Supply Chain Simulation Methods". W 2006 IEEE International Conference on Service Operations and Logistics, and Informatics. IEEE, 2006. http://dx.doi.org/10.1109/soli.2006.236571.
Pełny tekst źródłaTarokh, M. J., i M. Golkar. "Supply Chain Simulation Methods". W 2006 IEEE International Conference on Service Operations and Logistics, and Informatics. IEEE, 2006. http://dx.doi.org/10.1109/soli.2006.329066.
Pełny tekst źródłaWilsey, Phil. "Session details: Simulation methods". W SIGSIM-PADS '14: SIGSIM Principles of Advanced Discrete Simulation. New York, NY, USA: ACM, 2014. http://dx.doi.org/10.1145/3247545.
Pełny tekst źródłaBünning, Felix, Corentin Pfister, Ahmed Aboudonia, Philipp Heer i John Lygeros. "Comparing Machine Learning based Methods to standard Regression Methods for MPC on a virtual Testbed". W 2021 Building Simulation Conference. KU Leuven, 2021. http://dx.doi.org/10.26868/25222708.2021.30346.
Pełny tekst źródłaRaporty organizacyjne na temat "Simulation methods"
Booth, T. E., J. A. Carlson i R. A. Forster. Simulation methods for advanced scientific computing. Office of Scientific and Technical Information (OSTI), listopad 1998. http://dx.doi.org/10.2172/674863.
Pełny tekst źródłaFrazier, Peter I. Decision-Theoretic Methods in Simulation Optimization. Fort Belvoir, VA: Defense Technical Information Center, wrzesień 2014. http://dx.doi.org/10.21236/ada610908.
Pełny tekst źródłaGlynn, Peter W., i Donald L. Iglehart. Simulation Methods for Queues: An Overview. Fort Belvoir, VA: Defense Technical Information Center, kwiecień 1988. http://dx.doi.org/10.21236/ada197084.
Pełny tekst źródłaCarroll, William L. Daylighting simulation: methods, algorithms, and resources. Office of Scientific and Technical Information (OSTI), grudzień 1999. http://dx.doi.org/10.2172/861173.
Pełny tekst źródłaXiao, Shengyou. Multigrid methods with applications to reservoir simulation. Office of Scientific and Technical Information (OSTI), maj 1994. http://dx.doi.org/10.2172/418388.
Pełny tekst źródłaGlowinsky, Roland, Anthony J. Kearsley, Tsorng-Whay Pan i Jacques Periaux. Fictitious Domain Methods for Viscous Flow Simulation. Fort Belvoir, VA: Defense Technical Information Center, maj 1995. http://dx.doi.org/10.21236/ada445628.
Pełny tekst źródłaPellegrini, Claudio. Theoretical and simulation studies of seeding methods. Office of Scientific and Technical Information (OSTI), grudzień 2017. http://dx.doi.org/10.2172/1412634.
Pełny tekst źródłaCai, Yunhai. Methods and Issues in Beam-Beam Simulation. Office of Scientific and Technical Information (OSTI), październik 2001. http://dx.doi.org/10.2172/798894.
Pełny tekst źródłaGreengard, Leslie. Novel Methods for Electromagnetic Simulation and Design. Fort Belvoir, VA: Defense Technical Information Center, sierpień 2016. http://dx.doi.org/10.21236/ad1012909.
Pełny tekst źródłaFriedman, A., i E. Sonnendrucker. Some Aspects of Non-Split Vlasov Simulation Methods. Office of Scientific and Technical Information (OSTI), sierpień 2002. http://dx.doi.org/10.2172/15002126.
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