Relevant bibliographies by topics / Simulation methods

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Simulation methods'

Author: Grafiati
Published: 4 June 2021
Last updated: 25 July 2025

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Journal articles on the topic "Simulation methods"

1

Ripley, B. D., and M. D. Kirkland. "Iterative simulation methods." Journal of Computational and Applied Mathematics 31, no. 1 (1990): 165–72. http://dx.doi.org/10.1016/0377-0427(90)90347-3.

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Hoops, Christian, and Rahul Pathare. "Review and Simulation of Different Sampling Methods." International Journal of Scientific Engineering and Research 3, no. 3 (2015): 84–90. https://doi.org/10.70729/26031503.

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Fagbade, Adeyemi, and Stefan Heinz. "Continuous Eddy Simulation vs. Resolution-Imposing Simulation Methods for Turbulent Flows." Fluids 9, no. 1 (2024): 22. http://dx.doi.org/10.3390/fluids9010022.

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The usual concept of simulation methods for turbulent flows is to impose a certain (partial) flow resolution. This concept becomes problematic away from limit regimes of no or an almost complete flow resolution: discrepancies between the imposed and actual flow resolution may imply an unreliable model behavior and high computational cost to compensate for simulation deficiencies. An exact mathematical approach based on variational analysis provides a solution to these problems. Minimal error continuous eddy simulation (CES) designed in this way enables simulations in which the model actively r
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GEORGE, E., J. GLIMM, X. L. LI, et al. "Numerical methods for the determination of mixing." Laser and Particle Beams 21, no. 3 (2003): 437–42. http://dx.doi.org/10.1017/s0263034603213239.

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We present a Rayleigh–Taylor mixing rate simulation with an acceleration rate falling within the range of experiments. The simulation uses front tracking to prevent interfacial mass diffusion. We present evidence to support the assertion that the lower acceleration rate found in untracked simulations is caused, at least to a large extent, by a reduced buoyancy force due to numerical interfacial mass diffusion. Quantitative evidence includes results from a time-dependent Atwood number analysis of the diffusive simulation, which yields a renormalized mixing rate coefficient for the diffusive sim
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Podolskaya, Nina A. "Network Simulation: Tasks and Methods of Their Solution." International Journal of Computer Theory and Engineering 6, no. 5 (2014): 392–95. http://dx.doi.org/10.7763/ijcte.2014.v6.896.

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Zäh, Michael F., and Alexander Schober. "Innovative welding simulation methods." ATZproduktion worldwide 3, no. 1 (2010): 32–36. http://dx.doi.org/10.1007/bf03224215.

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Millington, James D. A., and John Wainwright. "Mixed qualitative-simulation methods." Progress in Human Geography 41, no. 1 (2016): 68–88. http://dx.doi.org/10.1177/0309132515627021.

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Across geography there has been variable engagement with the use of simulation and agent-based modelling. We argue that agent-based simulation provides a complementary method to investigate geographical issues which need not be used in ways that are epistemologically different in kind from some other approaches in contemporary geography. We propose mixed qualitative-simulation methods that iterate back-and-forth between ‘thick’ (qualitative) and ‘thin’ (simulation) approaches and between the theory and data they produce. These mixed methods accept simulation modelling as process and practice;
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Andersen, Torben G. "SIMULATION-BASED ECONOMETRIC METHODS." Econometric Theory 16, no. 1 (2000): 131–38. http://dx.doi.org/10.1017/s0266466600001080.

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The accessibility of high-performance computing power has always influenced theoretical and applied econometrics. Gouriéroux and Monfort begin their recent offering, Simulation-Based Econometric Methods, with a stylized three-stage classification of the history of statistical econometrics. In the first stage, lasting through the 1960's, models and estimation methods were designed to produce closed-form expressions for the estimators. This spurred thorough investigation of the standard linear model, linear simultaneous equations with the associated instrumental variable techniques, and maximum
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Tikhonov, 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 (2002): 452–59. http://dx.doi.org/10.1016/s0168-9002(01)01801-0.

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Guha, Ratan, and Mostafa Bassiouni. "Simulation Methods and Applications." Simulation Practice and Theory 9, no. 3-5 (2002): 91–93. http://dx.doi.org/10.1016/s0928-4869(01)00056-8.

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Dissertations / Theses on the topic "Simulation methods"

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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.

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Mauron, 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.

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Bekker, Hendrik. "Molecular dynamics simulation methods revised." [Groningen] : [Groningen] : Rijksuniversiteit Groningen ; [University Library Groningen] [Host], 1996. http://irs.ub.rug.nl/ppn/14860532X.

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Low, 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.

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Vidal-Codina, Ferran. "Simulation methods for plasmonic structures." Thesis, Massachusetts Institute of Technology, 2017. http://hdl.handle.net/1721.1/112460.

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Thesis: Ph. D., Massachusetts Institute of Technology, Department of Aeronautics and Astronautics, 2017.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (pages 129-148).<br>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 reg
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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/.

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Isaksson, 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.

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Homem, de Mello Tito. "Simulation-based methods for stochastic optimization." Diss., Georgia Institute of Technology, 1998. http://hdl.handle.net/1853/24846.

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Denison, 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.

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Sturdy, Yvette Katherine. "Molecular simulation with path integral methods." Thesis, University of Oxford, 2006. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.436950.

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Books on the topic "Simulation methods"

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Michael, Kotelyanskii, and Theodorou Doros Nicolas, eds. Simulation methods for polymers. Marcel Dekker, 2004.

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1943-, Monfort Alain, ed. Simulation-based econometric methods. Oxford University Press, 1996.

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Haile, J. M. Molecular dynamics simulation: Elementary methods. Wiley, 1992.

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Balakrishnan, N., V. B. Melas, and S. Ermakov, eds. Advances in Stochastic Simulation Methods. Birkhäuser Boston, 2000. http://dx.doi.org/10.1007/978-1-4612-1318-5.

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Joppich, Wolfgang, and Slobodan Mijalković. Multigrid Methods for Process Simulation. Springer Vienna, 1993. http://dx.doi.org/10.1007/978-3-7091-9253-5.

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Beer, Gernot, and Stéphane Bordas, eds. Isogeometric Methods for Numerical Simulation. Springer Vienna, 2015. http://dx.doi.org/10.1007/978-3-7091-1843-6.

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Ross, Richard B., and Sanat Mohanty, eds. Multiscale Simulation Methods for Nanomaterials. John Wiley & Sons, Inc., 2007. http://dx.doi.org/10.1002/9780470191675.

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M, Cerrolaza, Gajardo C, and Brebbia C. A, eds. Numerical methods in engineering simulation. Computational Mechanics Publication, 1996.

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Joppich, Wolfgang. Multigrid Methods for Process Simulation. Springer Vienna, 1993.

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Balakrishnan, N., S. M. Ermakov, and V. B. Melas. Advances in stochastic simulation methods. Springer, 2000.

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Book chapters on the topic "Simulation methods"

1

Deutsch, Hans-Peter, and Mark W. Beinker. "Simulation Methods." In Derivatives and Internal Models. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-22899-6_23.

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Ivory, Melody Y. "Simulation Methods." In Automated Web Site Evaluation. Springer Netherlands, 2003. http://dx.doi.org/10.1007/978-94-017-0375-8_7.

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Vorländer, Michael. "Simulation Methods." In Auralization. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-51202-6_10.

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Wasserman, Larry. "Simulation Methods." In Springer Texts in Statistics. Springer New York, 2004. http://dx.doi.org/10.1007/978-0-387-21736-9_24.

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Deutsch, Hans-Peter. "Simulation Methods." In Derivatives and Internal Models. Palgrave Macmillan UK, 2004. http://dx.doi.org/10.1057/9781403946089_23.

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Hellström, Sten. "Simulation methods." In ESD — The Scourge of Electronics. Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/978-3-642-80302-4_10.

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Müller, Mark, and Dietmar Pfahl. "Simulation Methods." In Guide to Advanced Empirical Software Engineering. Springer London, 2008. http://dx.doi.org/10.1007/978-1-84800-044-5_5.

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Albrecher, Hansjoerg, Andreas Binder, Volkmar Lautscham, and Philipp Mayer. "Simulation Methods." In Compact Textbooks in Mathematics. Springer Basel, 2013. http://dx.doi.org/10.1007/978-3-0348-0519-3_11.

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Engel, Megan Clare. "Simulation Methods." In DNA Systems Under Internal and External Forcing. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-25413-1_2.

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Deutsch, Hans-Peter. "Simulation Methods." In Derivatives and Internal Models. Palgrave Macmillan UK, 2002. http://dx.doi.org/10.1057/9780230502109_23.

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Conference papers on the topic "Simulation methods"

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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.

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Bertiger, 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.

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Riether, 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.

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Riether, 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.

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Florez, 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.

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Basden, Alastair, Richard Myers, and Timothy Butterley. "Monte-Carlo simulation of EAGLE." In Adaptive Optics: Methods, Analysis and Applications. OSA, 2009. http://dx.doi.org/10.1364/aopt.2009.aotud4.

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M. 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.

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Tarokh, 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.

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Wilsey, Phil. "Session details: Simulation methods." In SIGSIM-PADS '14: SIGSIM Principles of Advanced Discrete Simulation. ACM, 2014. http://dx.doi.org/10.1145/3247545.

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Bünning, 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.

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Reports on the topic "Simulation methods"

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Porritt, Robert. Integration of Waveform Simulation Methods. Office of Scientific and Technical Information (OSTI), 2023. http://dx.doi.org/10.2172/2430333.

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Booth, T. E., J. A. Carlson, and R. A. Forster. Simulation methods for advanced scientific computing. Office of Scientific and Technical Information (OSTI), 1998. http://dx.doi.org/10.2172/674863.

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Frazier, Peter I. Decision-Theoretic Methods in Simulation Optimization. Defense Technical Information Center, 2014. http://dx.doi.org/10.21236/ada610908.

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Glynn, Peter W., and Donald L. Iglehart. Simulation Methods for Queues: An Overview. Defense Technical Information Center, 1988. http://dx.doi.org/10.21236/ada197084.

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Carroll, William L. Daylighting simulation: methods, algorithms, and resources. Office of Scientific and Technical Information (OSTI), 1999. http://dx.doi.org/10.2172/861173.

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Xiao, Shengyou. Multigrid methods with applications to reservoir simulation. Office of Scientific and Technical Information (OSTI), 1994. http://dx.doi.org/10.2172/418388.

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Glowinsky, Roland, Anthony J. Kearsley, Tsorng-Whay Pan, and Jacques Periaux. Fictitious Domain Methods for Viscous Flow Simulation. Defense Technical Information Center, 1995. http://dx.doi.org/10.21236/ada445628.

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Pellegrini, Claudio. Theoretical and simulation studies of seeding methods. Office of Scientific and Technical Information (OSTI), 2017. http://dx.doi.org/10.2172/1412634.

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Cai, Yunhai. Methods and Issues in Beam-Beam Simulation. Office of Scientific and Technical Information (OSTI), 2001. http://dx.doi.org/10.2172/798894.

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Greengard, Leslie. Novel Methods for Electromagnetic Simulation and Design. Defense Technical Information Center, 2016. http://dx.doi.org/10.21236/ad1012909.

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