Academic literature on the topic 'Simulation methods'
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Journal articles on the topic "Simulation methods"
Ripley, B. D., and M. D. Kirkland. "Iterative simulation methods." Journal of Computational and Applied Mathematics 31, no. 1 (July 1990): 165–72. http://dx.doi.org/10.1016/0377-0427(90)90347-3.
Full textFagbade, Adeyemi, and Stefan Heinz. "Continuous Eddy Simulation vs. Resolution-Imposing Simulation Methods for Turbulent Flows." Fluids 9, no. 1 (January 10, 2024): 22. http://dx.doi.org/10.3390/fluids9010022.
Full textPodolskaya, Nina A. "Network Simulation: Tasks and Methods of Their Solution." International Journal of Computer Theory and Engineering 6, no. 5 (October 2014): 392–95. http://dx.doi.org/10.7763/ijcte.2014.v6.896.
Full textZäh, Michael F., and Alexander Schober. "Innovative welding simulation methods." ATZproduktion worldwide 3, no. 1 (February 2010): 32–36. http://dx.doi.org/10.1007/bf03224215.
Full textMillington, James D. A., and John Wainwright. "Mixed qualitative-simulation methods." Progress in Human Geography 41, no. 1 (July 10, 2016): 68–88. http://dx.doi.org/10.1177/0309132515627021.
Full textAndersen, Torben G. "SIMULATION-BASED ECONOMETRIC METHODS." Econometric Theory 16, no. 1 (February 2000): 131–38. http://dx.doi.org/10.1017/s0266466600001080.
Full textTikhonov, V., and R. Veenhof. "GEM simulation methods development." Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment 478, no. 1-2 (February 2002): 452–59. http://dx.doi.org/10.1016/s0168-9002(01)01801-0.
Full textGuha, Ratan, and Mostafa Bassiouni. "Simulation Methods and Applications." Simulation Practice and Theory 9, no. 3-5 (April 2002): 91–93. http://dx.doi.org/10.1016/s0928-4869(01)00056-8.
Full textElber, Ron. "Long-timescale simulation methods." Current Opinion in Structural Biology 15, no. 2 (April 2005): 151–56. http://dx.doi.org/10.1016/j.sbi.2005.02.004.
Full textBarrett, John H. "Methods of channeling simulation." Nuclear Instruments and Methods in Physics Research Section B: Beam Interactions with Materials and Atoms 44, no. 3 (January 1990): 367–72. http://dx.doi.org/10.1016/0168-583x(90)90652-b.
Full textDissertations / Theses on the topic "Simulation methods"
Azhar, Mueed [Verfasser], and Jan G. [Akademischer Betreuer] Korvink. "Simulation of NMR experiments using particle simulation methods." Freiburg : Universität, 2018. http://d-nb.info/1155722485/34.
Full textMauron, 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.
Full textBekker, Hendrik. "Molecular dynamics simulation methods revised." [Groningen] : [Groningen] : Rijksuniversiteit Groningen ; [University Library Groningen] [Host], 1996. http://irs.ub.rug.nl/ppn/14860532X.
Full textLow, 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.
Full textVidal-Codina, Ferran. "Simulation methods for plasmonic structures." Thesis, Massachusetts Institute of Technology, 2017. http://hdl.handle.net/1721.1/112460.
Full textCataloged 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/.
Full textIsaksson, 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.
Full textHomem, de Mello Tito. "Simulation-based methods for stochastic optimization." Diss., Georgia Institute of Technology, 1998. http://hdl.handle.net/1853/24846.
Full textDenison, 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.
Full textSturdy, Yvette Katherine. "Molecular simulation with path integral methods." Thesis, University of Oxford, 2006. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.436950.
Full textBooks on the topic "Simulation methods"
Michael, Kotelyanskii, and Theodorou Doros Nicolas, eds. Simulation methods for polymers. New York: Marcel Dekker, 2004.
Find full text1943-, Monfort Alain, ed. Simulation-based econometric methods. Oxford: Oxford University Press, 1996.
Find full textHaile, J. M. Molecular dynamics simulation: Elementary methods. New York: Wiley, 1992.
Find full textBalakrishnan, N., V. B. Melas, and S. Ermakov, eds. Advances in Stochastic Simulation Methods. Boston, MA: Birkhäuser Boston, 2000. http://dx.doi.org/10.1007/978-1-4612-1318-5.
Full textJoppich, Wolfgang, and Slobodan Mijalković. Multigrid Methods for Process Simulation. Vienna: Springer Vienna, 1993. http://dx.doi.org/10.1007/978-3-7091-9253-5.
Full textBeer, Gernot, and Stéphane Bordas, eds. Isogeometric Methods for Numerical Simulation. Vienna: Springer Vienna, 2015. http://dx.doi.org/10.1007/978-3-7091-1843-6.
Full textRoss, Richard B., and Sanat Mohanty, eds. Multiscale Simulation Methods for Nanomaterials. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2007. http://dx.doi.org/10.1002/9780470191675.
Full textM, Cerrolaza, Gajardo C, and Brebbia C. A, eds. Numerical methods in engineering simulation. Southampton: Computational Mechanics Publication, 1996.
Find full textJoppich, Wolfgang. Multigrid Methods for Process Simulation. Vienna: Springer Vienna, 1993.
Find full textBalakrishnan, N., S. M. Ermakov, and V. B. Melas. Advances in stochastic simulation methods. New York: Springer, 2000.
Find full textBook chapters on the topic "Simulation methods"
Deutsch, Hans-Peter, and Mark W. Beinker. "Simulation Methods." In Derivatives and Internal Models, 559–67. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-22899-6_23.
Full textIvory, Melody Y. "Simulation Methods." In Automated Web Site Evaluation, 53–56. Dordrecht: Springer Netherlands, 2003. http://dx.doi.org/10.1007/978-94-017-0375-8_7.
Full textVorländer, Michael. "Simulation Methods." In Auralization, 145–69. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-51202-6_10.
Full textWasserman, Larry. "Simulation Methods." In 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.
Full textDeutsch, Hans-Peter. "Simulation Methods." In Derivatives and Internal Models, 427–33. London: Palgrave Macmillan UK, 2004. http://dx.doi.org/10.1057/9781403946089_23.
Full textHellström, Sten. "Simulation methods." In 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.
Full textMüller, Mark, and Dietmar Pfahl. "Simulation Methods." In Guide to Advanced Empirical Software Engineering, 117–52. London: Springer London, 2008. http://dx.doi.org/10.1007/978-1-84800-044-5_5.
Full textAlbrecher, Hansjoerg, Andreas Binder, Volkmar Lautscham, and Philipp Mayer. "Simulation Methods." In Compact Textbooks in Mathematics, 117–31. Basel: Springer Basel, 2013. http://dx.doi.org/10.1007/978-3-0348-0519-3_11.
Full textEngel, Megan Clare. "Simulation Methods." In 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.
Full textDeutsch, Hans-Peter. "Simulation Methods." In Derivatives and Internal Models, 419–25. London: Palgrave Macmillan UK, 2002. http://dx.doi.org/10.1057/9780230502109_23.
Full textConference papers on the topic "Simulation methods"
Kippe, Vegard, Haakon Haegland, and Knut-Andreas Lie. "A Method To Improve the Mass Balance in Streamline Methods." In SPE Reservoir Simulation Symposium. Society of Petroleum Engineers, 2007. http://dx.doi.org/10.2118/106250-ms.
Full textBertiger, W. I., and F. J. Kelsey. "Inexact Adaptive Newton Methods." In SPE Reservoir Simulation Symposium. Society of Petroleum Engineers, 1985. http://dx.doi.org/10.2118/13501-ms.
Full textRiether, Gernot, and Tom Butler. "Simulation Space." In eCAADe 2008: Architecture "in computro" - Integrating methods and techniques. eCAADe, 2008. http://dx.doi.org/10.52842/conf.ecaade.2008.133.
Full textRiether, Gernot, and Tom Butler. "Simulation Space." In eCAADe 2008: Architecture "in computro" - Integrating methods and techniques. eCAADe, 2008. http://dx.doi.org/10.52842/conf.ecaade.2008.133.
Full textFlorez, Horacio, Mary Wheeler, and Adolfo Rodriguez. "Domain Decomposition Methods in Geomechanics." In SPE Reservoir Simulation Symposium. Society of Petroleum Engineers, 2013. http://dx.doi.org/10.2118/163674-ms.
Full textBasden, Alastair, Richard Myers, and Timothy Butterley. "Monte-Carlo simulation of EAGLE." In Adaptive Optics: Methods, Analysis and Applications. Washington, D.C.: OSA, 2009. http://dx.doi.org/10.1364/aopt.2009.aotud4.
Full textM. J. Tarokh. "Supply Chain Simulation Methods." In 2006 IEEE International Conference on Service Operations and Logistics, and Informatics. IEEE, 2006. http://dx.doi.org/10.1109/soli.2006.236571.
Full textTarokh, M. J., and M. Golkar. "Supply Chain Simulation Methods." In 2006 IEEE International Conference on Service Operations and Logistics, and Informatics. IEEE, 2006. http://dx.doi.org/10.1109/soli.2006.329066.
Full textWilsey, Phil. "Session details: Simulation methods." In SIGSIM-PADS '14: SIGSIM Principles of Advanced Discrete Simulation. New York, NY, USA: ACM, 2014. http://dx.doi.org/10.1145/3247545.
Full textBünning, Felix, Corentin Pfister, Ahmed Aboudonia, Philipp Heer, and John Lygeros. "Comparing Machine Learning based Methods to standard Regression Methods for MPC on a virtual Testbed." In 2021 Building Simulation Conference. KU Leuven, 2021. http://dx.doi.org/10.26868/25222708.2021.30346.
Full textReports on the topic "Simulation methods"
Booth, T. E., J. A. Carlson, and R. A. Forster. Simulation methods for advanced scientific computing. Office of Scientific and Technical Information (OSTI), November 1998. http://dx.doi.org/10.2172/674863.
Full textFrazier, Peter I. Decision-Theoretic Methods in Simulation Optimization. Fort Belvoir, VA: Defense Technical Information Center, September 2014. http://dx.doi.org/10.21236/ada610908.
Full textGlynn, Peter W., and Donald L. Iglehart. Simulation Methods for Queues: An Overview. Fort Belvoir, VA: Defense Technical Information Center, April 1988. http://dx.doi.org/10.21236/ada197084.
Full textCarroll, William L. Daylighting simulation: methods, algorithms, and resources. Office of Scientific and Technical Information (OSTI), December 1999. http://dx.doi.org/10.2172/861173.
Full textXiao, Shengyou. Multigrid methods with applications to reservoir simulation. Office of Scientific and Technical Information (OSTI), May 1994. http://dx.doi.org/10.2172/418388.
Full textGlowinsky, Roland, Anthony J. Kearsley, Tsorng-Whay Pan, and Jacques Periaux. Fictitious Domain Methods for Viscous Flow Simulation. Fort Belvoir, VA: Defense Technical Information Center, May 1995. http://dx.doi.org/10.21236/ada445628.
Full textPellegrini, Claudio. Theoretical and simulation studies of seeding methods. Office of Scientific and Technical Information (OSTI), December 2017. http://dx.doi.org/10.2172/1412634.
Full textCai, Yunhai. Methods and Issues in Beam-Beam Simulation. Office of Scientific and Technical Information (OSTI), October 2001. http://dx.doi.org/10.2172/798894.
Full textGreengard, Leslie. Novel Methods for Electromagnetic Simulation and Design. Fort Belvoir, VA: Defense Technical Information Center, August 2016. http://dx.doi.org/10.21236/ad1012909.
Full textFriedman, A., and E. Sonnendrucker. Some Aspects of Non-Split Vlasov Simulation Methods. Office of Scientific and Technical Information (OSTI), August 2002. http://dx.doi.org/10.2172/15002126.
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