Academic literature on the topic 'STEADY STATE PROBABILITY'
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Journal articles on the topic "STEADY STATE PROBABILITY"
Murphy, Ryan H. "Steady state economic freedom." Economics and Business Letters 12, no. 2 (July 13, 2023): 132–36. http://dx.doi.org/10.17811/ebl.12.2.2023.132-136.
Full textGotoh, Toshiyuki. "Probability density functions in steady-state Burgers turbulence." Physics of Fluids 11, no. 8 (August 1999): 2143–48. http://dx.doi.org/10.1063/1.870106.
Full textMADAN, DILIP B., MARTIJN PISTORIUS, and WIM SCHOUTENS. "CONIC TRADING IN A MARKOVIAN STEADY STATE." International Journal of Theoretical and Applied Finance 20, no. 02 (March 2017): 1750010. http://dx.doi.org/10.1142/s0219024917500108.
Full textChełminiak, Przemysław, and Michał Kurzyński. "Steady-state distributions of probability fluxes on complex networks." Physica A: Statistical Mechanics and its Applications 468 (February 2017): 540–51. http://dx.doi.org/10.1016/j.physa.2016.10.070.
Full textSamawi, Hani M., Martin Dunbar, and Ding-Geng (Din) Chen. "Steady-state ranked Gibbs sampler." Journal of Statistical Computation and Simulation 82, no. 8 (August 2012): 1223–38. http://dx.doi.org/10.1080/00949655.2011.575378.
Full textNoh, Jae Dong, and Joongul Lee. "On the steady-state probability distribution of nonequilibrium stochastic systems." Journal of the Korean Physical Society 66, no. 4 (February 2015): 544–52. http://dx.doi.org/10.3938/jkps.66.544.
Full textZHANG Jian-ye, 张建业, and 朴. 燕. PIAO Yan. "Stereo matching algorithm based on improved steady-state matching probability." Chinese Journal of Liquid Crystals and Displays 33, no. 4 (2018): 357–64. http://dx.doi.org/10.3788/yjyxs20183304.0357.
Full textArizono, I., and A. Yamamoto. "A simplified graphical method for deriving system steady-state probability." IEEE Transactions on Reliability 42, no. 2 (June 1993): 307–13. http://dx.doi.org/10.1109/24.229507.
Full textCarlevaro, Carlos M., and Luis A. Pugnaloni. "Steady state of tapped granular polygons." Journal of Statistical Mechanics: Theory and Experiment 2011, no. 01 (January 6, 2011): P01007. http://dx.doi.org/10.1088/1742-5468/2011/01/p01007.
Full textLIM, JAE-HAK, SANG WOOK SHIN, DAE KYUNG KIM, and DONG HO PARK. "BOOTSTRAP CONFIDENCE INTERVALS FOR STEADY-STATE AVAILABILITY." Asia-Pacific Journal of Operational Research 21, no. 03 (September 2004): 407–19. http://dx.doi.org/10.1142/s021759590400031x.
Full textDissertations / Theses on the topic "STEADY STATE PROBABILITY"
Eickhoff, Mirko. "Sequential Analysis of Quantiles and Probability Distributions by Replicated Simulations." Thesis, University of Canterbury. Computer Science and Software Engineering, 2007. http://hdl.handle.net/10092/1238.
Full textKHARCHEVA, Anna. "Anomalous diffusion and nonlinear relaxation phenomena in stochastic models of interdisciplinary physics." Doctoral thesis, Università degli Studi di Palermo, 2020. http://hdl.handle.net/10447/430665.
Full textAzhar, Muhammad. "A Stochastic Analysis Framework for Real-Time Systems under Preemptive Priority-Driven Scheduling." Thesis, Mälardalens högskola, Akademin för innovation, design och teknik, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-13100.
Full textThis is Second Version of the report. Submitted after few modifications made on the order of Thomas Nolte (Thesis Examiner).
START - Stochastic Real-Time Analysis of Embedded Software Systems
Wanduku, Divine. "Stochastic Modeling of Network-Centric Epidemiological Processes." Scholar Commons, 2012. http://scholarcommons.usf.edu/etd/4252.
Full textOliveira, José Carlos Francisco de. "Noções de grafos dirigidos, cadeias de Markov e as buscas do Google." Universidade Federal de Sergipe, 2014. https://ri.ufs.br/handle/riufs/6482.
Full textThis paper has as its main purpose to highlight some mathematical concepts, which are behind the ranking given by a research made on the website mostly used in the world: Google. At the beginning, we briefly approached some High School’s concepts, such as: Matrices, Linear Systems and Probability. After that, we presented some basic notions related to Directed Graphs and Markov Chains of Discrete Time. From this last one, we gave more emphasis to the Steady State Vector because it ensures foreknowledge results from long-term. These concepts are extremely important to our paper, because they will be used to explain the involvement of Mathematic behind the web search “Google”. Then, we tried to detail the ranking operation of the search pages on Google, i.e., how the results of a research are classified, determining which results are presented in a sequential way in order of relevance. Finally we obtained “PageRank”, an algorithm which creates what we call Google’s Matrices and ranks the pages of a search. We finished making a brief comment about the historical arising of the web searches, from their founders to the rise and hegemony of Google.
O presente trabalho tem como objetivo destacar alguns conceitos matemáticos que estão por trás do ranqueamento dado por uma pesquisa feita no site de busca mais usados do mundo, o “Google”. Inicialmente abordamos de forma breve alguns conteúdos da matemática do ensino médio, a exemplo de: matrizes, sistemas lineares, probabilidades. Em seguida são introduzidas noções básicas de grafos dirigidos e cadeias de Markov de tempo discreto; essa última, é dada uma ênfase ao vetor estado estacionário, por ele garantir resultados de previsão de longo prazo. Esses conceitos são de grande importância em nosso trabalho, pois serão usados para explicar o envolvimento da matemática por trás do site de buscas “Google”. Na sequência, buscamos detalhar o funcionamento do ranqueamento das páginas de uma busca no “Google”, isto é, como são classificados os resultados de uma pesquisa, determinando quais resultados serão apresentados de modo sequencial em ordem de relevância. Finalmente, chegamos na obtenção do “PageRank”, algoritmo que gera a chamada Matriz do Google e ranqueia as páginas de uma busca. Encerramos com um breve histórico do surgimento dos sites de buscas, desde os seus fundadores até a ascensão e hegemonia do Google.
Kuo, Cheng-Han, and 郭承翰. "The probability density function of M/M/2/4 in steady state." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/tkxj53.
Full text國立交通大學
應用數學系所
106
In this thesis, we are interested in the states which are related to time. By system balanced diagram, we have the balanced equations and some initial conditions. Also we solve the marginal probability density functions by using the homogeneous linear system. Finally, we show that the limiting probabilities are same as Birth-Death process and compare the difference of the marginal probability density functions of M/M/2/3 and M/M/2/4.
Yen, Tian-Bao, and 顏天保. "The Numerical Solution of Density Function and Stationary Probability in Steady State of M/G/2/3." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/x2mm82.
Full text國立交通大學
統計學研究所
105
By studying the sub-density of the M/G/2/3 queuing system,$f_1(s)$、$f_2(s,t)$、$f_3(s,t)$,which respectively stand for the density function of the system in a steady state when the system has 1,2,3 people and they are has been serving for s, (s ,t), (s, t) unit of time, we can find the density function of the system and other special values (e.g.stationary probability). In this study, we find the analytical solution of the M/M/2/3, the numerical solution and the approximate solution of M/G/2/3 where the approximate solution can be expressed as the linear combination of several known functions and have good efficiency and approximation. We then try to extend the algorithm to M/G/2 /K and discuss possible approaches to M/G/C/K calculations. The structure of this paper is as follows. In the first chapter, we review the similar literature and introduce the method used in this study. In chapter 2, we discuss the situation of M/M/2/3, and solve the density function and the stationary probability. The third chapter to explore the M/G/2/3 situation, and lists the numerical algorithm and approximate algorithm. The fourth chapter lists the experimental results. The fifth chapter will be extended to M/G/2/K and discuss the case of M/G/C/K. In the end, the chapter sixth is the conclusion.
KUMAR, VARUN. "IMPROVING SYSTEM AVAILABILITY THROUGH OPPORTUNISTIC MAINTENANCE." Thesis, 2016. http://dspace.dtu.ac.in:8080/jspui/handle/repository/16106.
Full textIbrahim, Basil. "Queueing Analysis of a Priority-based Claim Processing System." Thesis, 2009. http://hdl.handle.net/10012/4796.
Full textBooks on the topic "STEADY STATE PROBABILITY"
Simon, M. Steady-state probability density function of the phase error for a DPLL with an integrate-and-dump device. Pasadena, Calif: National Aeronautics and Space Administration, Jet Propulsion Laboratory, California Institute of Technology, 1986.
Find full textJ, Mileant, and Jet Propulsion Laboratory (U.S.), eds. Steady-state probability density function of the phase error for a DPLL with an integrate-and-dump device. Pasadena, Calif: National Aeronautics and Space Administration, Jet Propulsion Laboratory, California Institute of Technology, 1986.
Find full textJiang, Da-Quan. Mathematical theory of nonequilibrium steady states: On the frontier of probability and dynamical systems. Berlin: Springer, 2004.
Find full text1927-, Qian Min, and Qian Min-Ping, eds. Mathematical theory of nonequilibrium steady states: On the frontier of probability and dynamical systems. Berlin: Springer, 2004.
Find full textSteady-state probability density function of the phase error for a DPLL with an integrate-and-dump device. Pasadena, Calif: National Aeronautics and Space Administration, Jet Propulsion Laboratory, California Institute of Technology, 1986.
Find full textSteady-state probability density function of the phase error for a DPLL with an integrate-and-dump device. Pasadena, Calif: National Aeronautics and Space Administration, Jet Propulsion Laboratory, California Institute of Technology, 1986.
Find full textQian, Ming-Ping, Da-Quan Jiang, and Min Qian. Mathematical Theory of Nonequilibrium Steady States: On the Frontier of Probability and Dynamical Systems. Springer London, Limited, 2003.
Find full textBook chapters on the topic "STEADY STATE PROBABILITY"
Asmussen, Søren, and Peter W. Glynn. "Steady-State Simulation." In Stochastic Modelling and Applied Probability, 96–125. New York, NY: Springer New York, 2007. http://dx.doi.org/10.1007/978-0-387-69033-9_4.
Full textDerrida, B., and M. R. Evans. "Exact Steady State Properties of the One Dimensional Asymmetric Exclusion Model." In Probability and Phase Transition, 1–16. Dordrecht: Springer Netherlands, 1994. http://dx.doi.org/10.1007/978-94-015-8326-8_1.
Full textKoh, Younsuk, and Kiseon Kim. "Evaluation of Steady-State Probability of Pareto/M/1/K Experiencing Tail-Raising Effect." In Lecture Notes in Computer Science, 561–70. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-540-45076-4_56.
Full textGross, Donald, Bingchang Gu, and Richard M. Soland. "The Biconjugate Gradient Method for Obtaining the Steady-State Probability Distributions of Markovian Multiechelon Repairable Item Inventory Systems." In Numerical Solution of Markov Chains, 473–89. Boca Raton: CRC Press, 2021. http://dx.doi.org/10.1201/9781003210160-25.
Full text"Steady-State Probability Distribution." In Encyclopedia of Systems Biology, 1987. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4419-9863-7_101400.
Full textVenugopal, Deneshkumar, Senthamarai Kannan Kaliyaperumal, and Sonai Muthu Niraikulathan. "Stock Market Trend Prediction Using Hidden Markov Model." In Forecasting in Mathematics - Recent Advances, New Perspectives and Applications [Working Title]. IntechOpen, 2020. http://dx.doi.org/10.5772/intechopen.93988.
Full textLaxmi, P. Vijaya, Veena Goswami, and K. Jyothsna. "Performance Analysis of a Markovian Working Vacations Queue with Impatient Customers." In Advances in Business Information Systems and Analytics, 258–80. IGI Global, 2014. http://dx.doi.org/10.4018/978-1-4666-5958-2.ch013.
Full textChu, C. Y. Cyrus. "Age-Specific Population Models: Steady States and Comparative Statics." In Population Dynamics. Oxford University Press, 1998. http://dx.doi.org/10.1093/oso/9780195121582.003.0007.
Full text"Sustainable Evolution in an Ever-Changing Environment." In Boundedness and Self-Organized Semantics: Theory and Applications, 149–68. IGI Global, 2013. http://dx.doi.org/10.4018/978-1-4666-2202-9.ch008.
Full textIkhlef, Lyes. "Performance Modeling of Finite Sources Retrial Queue using Markov Regenerative Approach." In Markov Model [Working Title]. IntechOpen, 2023. http://dx.doi.org/10.5772/intechopen.1000858.
Full textConference papers on the topic "STEADY STATE PROBABILITY"
Zhao, Xiaochuan, and Ali H. Sayed. "Probability distribution of steady-state errors and adaptation over networks." In 2011 IEEE Statistical Signal Processing Workshop (SSP). IEEE, 2011. http://dx.doi.org/10.1109/ssp.2011.5967673.
Full textPal, Ranadip. "Analyzing steady state probability distributions of Context-sensitive Probabilistic Boolean Networks." In 2009 IEEE International Workshop on Genomic Signal Processing and Statistics (GENSIPS). IEEE, 2009. http://dx.doi.org/10.1109/gensips.2009.5174325.
Full textKarim, Md Shahriar, David M. Umulis, and Gregery T. Buzzard. "Steady state probability approximation applied to stochastic model of biological network." In 2011 IEEE International Workshop on Genomic Signal Processing and Statistics (GENSIPS). IEEE, 2011. http://dx.doi.org/10.1109/gensips.2011.6169442.
Full textKřetínský, Jan. "LTL-Constrained Steady-State Policy Synthesis." In Thirtieth International Joint Conference on Artificial Intelligence {IJCAI-21}. California: International Joint Conferences on Artificial Intelligence Organization, 2021. http://dx.doi.org/10.24963/ijcai.2021/565.
Full textVelasquez, Alvaro. "Steady-State Policy Synthesis for Verifiable Control." In Twenty-Eighth International Joint Conference on Artificial Intelligence {IJCAI-19}. California: International Joint Conferences on Artificial Intelligence Organization, 2019. http://dx.doi.org/10.24963/ijcai.2019/784.
Full textMüller, Frank, Peter Zeiler, and Bernd Bertsche. "Coverage Probability of Methods for Steady-State Availability Inference with a Confidence Interval." In Proceedings of the 29th European Safety and Reliability Conference (ESREL). Singapore: Research Publishing Services, 2020. http://dx.doi.org/10.3850/978-981-14-8593-0_3528-cd.
Full textGhosh, Debjani, Satya Sankalp Gautam, and Mayank Pandey. "An Extension For PRISM Model Checker To Reduce Computation Time For Steady State Probability Analysis." In 2020 International Conference on Innovative Trends in Information Technology (ICITIIT). IEEE, 2020. http://dx.doi.org/10.1109/icitiit49094.2020.9071527.
Full textWagner, Kevin T., and Milos I. Doroslovacki. "Joint conditional and steady-state probability densities of weight deviations for proportionate-type LMS algorithms." In 2011 45th Asilomar Conference on Signals, Systems and Computers. IEEE, 2011. http://dx.doi.org/10.1109/acssc.2011.6190326.
Full textYang, Dingbang, Lina Zhu, Huajin Yu, and Xiangyu Yan. "One Dimensional Thermal Steady State Code of Sodium Heated Large Straight Tube Steam Generator." In 2022 29th International Conference on Nuclear Engineering. American Society of Mechanical Engineers, 2022. http://dx.doi.org/10.1115/icone29-92490.
Full textMengran Xue and Sandip Roy. "Spectral and graph-theoretic bounds on steady-state-probability estimation performance for an ergodic Markov chain." In 2011 American Control Conference. IEEE, 2011. http://dx.doi.org/10.1109/acc.2011.5990901.
Full textReports on the topic "STEADY STATE PROBABILITY"
Montalvo-Bartolomei, Axel, Bryant Robbins, and Jamie López-Soto. Backward erosion progression rates from small-scale flume tests. Engineer Research and Development Center (U.S.), September 2021. http://dx.doi.org/10.21079/11681/42135.
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