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Relevant bibliographies by topics / Continuous time simulation

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Dissertations / Theses
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Academic literature on the topic 'Continuous time simulation'

Author: Grafiati

Published: 4 June 2021

Last updated: 1 February 2022

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Journal articles on the topic "Continuous time simulation"

1

Patrick, Steven. "Linking Empirical Data to Continuous-Time, Continuous-State Computer Simulation." Social Science Computer Review 11, no. 1 (1993): 33–47. http://dx.doi.org/10.1177/089443939301100104.

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Kendon, Viv. "Quantum computing using continuous-time evolution." Interface Focus 10, no. 6 (2020): 20190143. http://dx.doi.org/10.1098/rsfs.2019.0143.

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Computational methods are the most effective tools we have besides scientific experiments to explore the properties of complex biological systems. Progress is slowing because digital silicon computers have reached their limits in terms of speed. Other types of computation using radically different architectures, including neuromorphic and quantum, promise breakthroughs in both speed and efficiency. Quantum computing exploits the coherence and superposition properties of quantum systems to explore many possible computational paths in parallel. This provides a fundamentally more efficient route

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Mattsson, Sven Erik. "Simulation of object-oriented continuous time models." Mathematics and Computers in Simulation 39, no. 5-6 (1995): 513–18. http://dx.doi.org/10.1016/0378-4754(94)00112-6.

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Benabes, P. "Accurate Time-Domain Simulation of Continuous-Time Sigma–Delta Modulators." IEEE Transactions on Circuits and Systems I: Regular Papers 56, no. 10 (2009): 2248–58. http://dx.doi.org/10.1109/tcsi.2008.2012224.

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Biller, Peter, and Francesco Petruccione. "Continuous time simulation of transient polymer network models." Journal of Chemical Physics 92, no. 10 (1990): 6322–26. http://dx.doi.org/10.1063/1.458309.

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Petruccione, Francesco, and Peter Biller. "Continuous time simulation of the Doi–Edwards model." Journal of Chemical Physics 92, no. 10 (1990): 6327–31. http://dx.doi.org/10.1063/1.458310.

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Padoan, Pier Carlo. "Nonlinear simulation analysis in continuous time econometric models." Computers & Mathematics with Applications 24, no. 8-9 (1992): 57–65. http://dx.doi.org/10.1016/0898-1221(92)90187-m.

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Husain, I., and Z. Jabeen. "Continuous-time fractional minmax programming." Mathematical and Computer Modelling 42, no. 5-6 (2005): 701–10. http://dx.doi.org/10.1016/j.mcm.2003.10.055.

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Wolf, Douglas A. "Simulation Methods for Analyzing Continuous-Time Event-History Models." Sociological Methodology 16 (1986): 283. http://dx.doi.org/10.2307/270926.

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Raczynski, Stanislaw. "Continuous Simulation, Differential Inclusions, Uncertainty, and Traveling in Time." SIMULATION 80, no. 2 (2004): 87–100. http://dx.doi.org/10.1177/0037549704042858.

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Dissertations / Theses on the topic "Continuous time simulation"

1

Chang, Qiang. "Continuous-time random-walk simulation of surface kinetics." The Ohio State University, 2007. http://rave.ohiolink.edu/etdc/view?acc_num=osu1166592142.

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Mandt, Klaus. "Investigation of discretisation methods for real-time simulation." Thesis, Staffordshire University, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.389742.

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Kebede, Dawit. "An effective discontinuity handling method for hybrid continuous-time/discrete-time systems simulation." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk2/tape16/PQDD_0008/MQ29998.pdf.

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Holmes, Jay Cuthbert. "Continuous reservoir simulation incorporating uncertainty quantification and real-time data." [College Station, Tex. : Texas A&M University, 2006. http://hdl.handle.net/1969.1/ETD-TAMU-1179.

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Elerian, Ola. "Simulation estimation of continuous-time models with applications to finance." Thesis, University of Oxford, 1999. https://ora.ox.ac.uk/objects/uuid:9538382d-5524-416a-8a95-1b820dd795e1.

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Over recent years, we have witnessed a rapid development in the body of economic theory with applications to finance. It has had great success in finding theoretical explanations to economic phenomena. Typically, theories are employed that are defined by mathematical models. Finance in particular has drawn upon and developed the theory of stochastic differential equations. These produce elegant and tractable frameworks which help us to better understand the world. To directly apply such theories, the models must be assessed and their parameters estimated. Implementation requires the estimation

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Kwan, Jonathan Carleton University Dissertation Engineering Electrical. "Noise analysis and simulation of switched-capacitor circuits using a continuous time circuit simulator." Ottawa, 1988.

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7

Albertyn, Martin. "Generic simulation modelling of stochastic continuous systems." Thesis, Pretoria : [s.n.], 2004. http://upetd.up.ac.za/thesis/available/etd-05242005-112442.

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Spencer, Paul E. "Continuous-time quantum Monte Carlo studies of lattice polarons." Thesis, Loughborough University, 2000. https://dspace.lboro.ac.uk/2134/33799.

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The polaron problem is studied, on an infinite lattice, using the continuous-time path-integral quantum Monte Carlo scheme The method is based on the Feynman technique to analytically integrate out the phonon degrees of freedom. The transformed problem is that of a single electron with retarded self-interaction in imaginary time. The Metropolis algorithm is used to sample an ensemble of electron trajectories with twisted (rather than periodic) boundary conditions in imaginary time, which allows dynamic properties of the system to by measured directly. The method is numerically "exact", in the

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Kaald, Rune. "Modelling, Simulation and Implementation Considerations of High Speed Continuous Time Sigma Delta ADC." Thesis, Norwegian University of Science and Technology, Department of Electronics and Telecommunications, 2008. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-8942.

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<p>A found state of the art Continuous Time Sigma Delta ADC is modelled and simulated for the presence of nonidealities. A comparison between two Excess Loop Delay compensation techniques is done, the digital differentiation technique was found to have lower swing at the last integrator, and did not need a gain-bandwidth induced delay sensitive summing amplifier. The detrimental influence of clock jitter is shown. Different DAC linearization techniques are discussed, the DWA algorithm was simulated and found to be the best choice for linearizing the DACs. Through high level modeling in Simul

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Panzitta, Michael James. "Synthesis of numerical integrators for the real-time digital simulation of continuous systems." Doctoral diss., University of Central Florida, 1994. http://digital.library.ucf.edu/cdm/ref/collection/RTD/id/3046.

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University of Central Florida College of Engineering Thesis<br>Real-time digital simulation is a powerful means for engineers and scientists in government, industry, and academia to perform research and training as well as serving as a basis for many commercial applications. Due to the special constraints imposed by digitally simulating continuous systems in real time, however, many of these systems either require costly high-speed components or are unable to provide suitable performance characteristics using affordable computers. This dissertation describes a new technique for the synthesis

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Books on the topic "Continuous time simulation"

1

Tavernini, Lucio. Continuous-time modeling and simulation: Using Turbo Pascal and CTMS/TP. Gordon and Breach, 1996.

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Wright, A. G. Statistical processes. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780199565092.003.0004.

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Two statistical processes affect performance: one concerns photon detection at the photocathode (binomial); and the other, gain at each dynode (Poisson). The combined statistical processes dictate resolution, both timing and pulse height. They are best examined using generating functions that are both elegant and capable of providing answers more efficiently than traditional approaches. The requirement for steady and pulsed light sources is an important one for testing and setting up procedures. The use of moments to test the quality of performance is illustrated for a steady DC light source.

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Bulatov, Vasily, and Wei Cai. Computer Simulations of Dislocations. Oxford University Press, 2006. http://dx.doi.org/10.1093/oso/9780198526148.001.0001.

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This book presents a broad collection of models and computational methods - from atomistic to continuum - applied to crystal dislocations. Its purpose is to help students and researchers in computational materials sciences to acquire practical knowledge of relevant simulation methods. Because their behavior spans multiple length and time scales, crystal dislocations present a common ground for an in-depth discussion of a variety of computational approaches, including their relative strengths, weaknesses and inter-connections. The details of the covered methods are presented in the form of "num

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Book chapters on the topic "Continuous time simulation"

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Murray-Smith, D. J. "Real-Time Simulation." In Continuous System Simulation. Springer US, 1995. http://dx.doi.org/10.1007/978-1-4615-2504-2_14.

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2

Register, Andy. "Continuous Time Simulation." In Modeling and Simulation in the Systems Engineering Life Cycle. Springer London, 2015. http://dx.doi.org/10.1007/978-1-4471-5634-5_11.

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Birta, Louis G., and Gilbert Arbez. "Modelling of Continuous Time Dynamic Systems." In Modelling and Simulation. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-18869-6_8.

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Birta, Louis G., and Gilbert Arbez. "Modelling of Continuous Time Dynamic Systems." In Modelling and Simulation. Springer London, 2013. http://dx.doi.org/10.1007/978-1-4471-2783-3_8.

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Moeller, Dietmar P. F. "Modeling Continuous-Time and Discrete-Time Systems." In Mathematical and Computational Modeling and Simulation. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-642-18709-4_1.

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Petruccione, F., and P. Biller. "Continuous Time Simulation of Polymer Melts." In Third European Rheology Conference and Golden Jubilee Meeting of the British Society of Rheology. Springer Netherlands, 1990. http://dx.doi.org/10.1007/978-94-009-0781-2_133.

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Baier, Christel, Joost-Pieter Katoen, Holger Hermanns, and Boudewijn Haverkort. "Simulation for Continuous-Time Markov Chains." In CONCUR 2002 — Concurrency Theory. Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/3-540-45694-5_23.

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Moeller, Dietmar P. F. "Mathematical Description of Continuous-Time Systems." In Mathematical and Computational Modeling and Simulation. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-642-18709-4_2.

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Janicki, Aleksander, та Aleksander Weron. "Computer Approximations of Continuous Time Processes". У Simulation and Chaotic Behavior of α-Stable Stochastic Processes. CRC Press, 2021. http://dx.doi.org/10.1201/9781003208877-6.

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Sridevi, S., and P. Sakthivel. "Real-Time Simulation Design for Continuous Process Industries." In Lecture Notes in Electrical Engineering. Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-2999-8_7.

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Conference papers on the topic "Continuous time simulation"

1

"A Quantum of Continuous Simulated Time." In 2016 Spring Simulation Multi-Conference. Society for Modeling and Simulation International (SCS), 2016. http://dx.doi.org/10.22360/springsim.2016.tmsdevs.004.

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Galdino, Sergio. "Interval Continuous-Time Markov Chains simulation." In 2013 International Conference on Fuzzy Theory and Its Applications (iFUZZY). IEEE, 2013. http://dx.doi.org/10.1109/ifuzzy.2013.6825449.

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Kubalcik, Marek, and Vladimir Bobal. "Simulation Of Multivariable Continuous-Time Decoupling Control." In 28th Conference on Modelling and Simulation. ECMS, 2014. http://dx.doi.org/10.7148/2014-0261.

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Arias, J. "Noise Simulation of Continuous-Time ΣΔ Modulators". У NOISE AND FLUCTUATIONS: 18th International Conference on Noise and Fluctuations - ICNF 2005. AIP, 2005. http://dx.doi.org/10.1063/1.2036802.

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Prokopova, Z., and Z. Oplatkova. "Simulation And Robust Control Of Continuous Time Circulating Reactor." In 22nd Conference on Modelling and Simulation. ECMS, 2008. http://dx.doi.org/10.7148/2008-0519.

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Blanchet, Jose, and Peter Glynn. "Efficient rare event simulation of continuous time Markovian perpetuities." In 2009 Winter Simulation Conference - (WSC 2009). IEEE, 2009. http://dx.doi.org/10.1109/wsc.2009.5429355.

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Poropudas, Jirka, and Kai Virtanen. "Simulation metamodeling in continuous time using dynamic Bayesian networks." In 2010 Winter Simulation Conference - (WSC 2010). IEEE, 2010. http://dx.doi.org/10.1109/wsc.2010.5679098.

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Warnke, Tom. "A DSL for continuous-time agent-based modeling and simulation." In 2016 Winter Simulation Conference (WSC). IEEE, 2016. http://dx.doi.org/10.1109/wsc.2016.7822396.

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Bo, Tang, Tan Xiaobin, and Yin Baoqun. "Continuous-time Hidden Markov models in Network Simulation." In 2008 IEEE International Symposium on Knowledge Acquisition and Modeling Workshop (KAM 2008 Workshop). IEEE, 2008. http://dx.doi.org/10.1109/kamw.2008.4810577.

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Ito, Hidetaka, Shinji Okamoto, Kosuke Fujimoto, and Akira Kumamoto. "Constructing Continuous-Time Chaos-Generating Templates Using Polynomial Approximation." In 24th European Conference on Modelling and Simulation. ECMS, 2010. http://dx.doi.org/10.7148/2010-0253-0257.

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