Articoli di riviste: "MARKOVIAN APPROACH"

1

Gilpin, Michael. "Demographic stochasticity: A Markovian approach". Journal of Theoretical Biology 154, n. 1 (gennaio 1992): 1–8. http://dx.doi.org/10.1016/s0022-5193(05)80183-3.

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2

Fahidy, Thomas Z. "A Markovian approach to electrodeposition". Electrochimica Acta 38, n. 8 (giugno 1993): 1147–48. http://dx.doi.org/10.1016/0013-4686(93)80226-p.

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3

Pollard, Bruce, e Mark Tippett. "Probabilistic Depreciation: A Markovian Approach". British Accounting Review 26, n. 1 (marzo 1994): 61–76. http://dx.doi.org/10.1006/bare.1994.1006.

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4

Laussel, Didier, e Ngo Van Long. "Vertical Disintegration: A Dynamic Markovian Approach". Journal of Economics & Management Strategy 21, n. 3 (4 luglio 2012): 745–71. http://dx.doi.org/10.1111/j.1530-9134.2012.00345.x.

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5

Sen, Kanwar, e J. L. Jain. "Combinatorial approach to Markovian queueing models". Journal of Statistical Planning and Inference 34, n. 2 (febbraio 1993): 269–79. http://dx.doi.org/10.1016/0378-3758(93)90011-t.

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6

Nikolova, M. "Markovian reconstruction using a GNC approach". IEEE Transactions on Image Processing 8, n. 9 (1999): 1204–20. http://dx.doi.org/10.1109/83.784433.

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7

Bertail, P., e S. Clémençon. "A renewal approach to Markovian U-statistics". Mathematical Methods of Statistics 20, n. 2 (giugno 2011): 79–105. http://dx.doi.org/10.3103/s1066530711020013.

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8

Cheong, C. W. "Web Server Workload Prediction: Fuzzy Markovian Approach". International Journal of Computers and Applications 26, n. 2 (gennaio 2004): 1–6. http://dx.doi.org/10.1080/1206212x.2004.11441730.

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9

Yu, Ting, Lajos Diósi, Nicolas Gisin e Walter T. Strunz. "Non-Markovian quantum-state diffusion: Perturbation approach". Physical Review A 60, n. 1 (1 luglio 1999): 91–103. http://dx.doi.org/10.1103/physreva.60.91.

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10

Cherfi, Abraham, Michel Leeman, Florent Meurville e Antoine Rauzy. "Modeling automotive safety mechanisms: A Markovian approach". Reliability Engineering & System Safety 130 (ottobre 2014): 42–49. http://dx.doi.org/10.1016/j.ress.2014.04.013.

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11

Guagenti, Elisa, e Chiara Molina. "Structural rehabilitation—A semi-Markovian decision approach". Structural Safety 8, n. 1-4 (luglio 1990): 255–62. http://dx.doi.org/10.1016/0167-4730(90)90044-p.

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12

Al-Hajjar, Jihad, Olivier Blanpain e Jean Marc Menu. "Semi-Markovian approach for modelling seismic aftershocks". Engineering Structures 19, n. 12 (dicembre 1997): 969–76. http://dx.doi.org/10.1016/s0141-0296(97)00006-0.

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13

ROMANOS, MICHAEL C., e HASSINE SAIDANE. "A STOCHASTIC MARKOVIAN APPROACH TO TRIP DISTRIBUTION". Papers in Regional Science 41, n. 1 (14 gennaio 2005): 15–28. http://dx.doi.org/10.1111/j.1435-5597.1978.tb01035.x.

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14

Robb, David John. "Procurement of prescribed sizes: A Markovian approach". European Journal of Operational Research 71, n. 1 (novembre 1993): 110–19. http://dx.doi.org/10.1016/0377-2217(93)90264-n.

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15

Putz, Mihai V. "Markovian approach of the electron localization functions". International Journal of Quantum Chemistry 105, n. 1 (2005): 1–11. http://dx.doi.org/10.1002/qua.20645.

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16

BASU, B., V. K. GUPTA e D. KUNDU. "A MARKOVIAN APPROACH TO ORDERED PEAK STATISTICS". Earthquake Engineering & Structural Dynamics 25, n. 12 (dicembre 1996): 1335–51. http://dx.doi.org/10.1002/(sici)1096-9845(199612)25:12<1335::aid-eqe596>3.0.co;2-o.

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17

Corn, Brittany, Jun Jing e Ting Yu. "Non-Markovian quantum trajectroy unravellings of entanglement". Quantum Information and Computation 16, n. 5&6 (aprile 2016): 483–97. http://dx.doi.org/10.26421/qic16.5-6-5.

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The fully quantized model of double qubits coupled to a common bath is solved using the quantum state diffusion (QSD) approach in the non-Markovian regime. We have established the explicit time-local non-Markovian QSD equations for the two-qubit dissipative and dephasing models. Diffusive quantum trajectories are applied to the entanglement estimation of two-qubit systems in a non-Markovian regime. In both cases, non-Markovian features of entanglement evolution are revealed through quantum diffusive unravellings in the system state space.

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18

Semina, I., V. Semin, F. Petruccione e A. Barchielli. "Stochastic Schrödinger Equations for Markovian and non-Markovian Cases". Open Systems & Information Dynamics 21, n. 01n02 (12 marzo 2014): 1440008. http://dx.doi.org/10.1142/s1230161214400083.

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Firstly, the Markovian stochastic Schrödinger equations are presented, together with their connections with the theory of measurements in continuous time. Moreover, the stochastic evolution equations are translated into a simulation algorithm, which is illustrated by two concrete examples — the damped harmonic oscillator and a two-level atom with homodyne photodetection. We then consider how to introduce memory effects in the stochastic Schrödinger equation via coloured noise. Specifically, the approach by using the Ornstein-Uhlenbeck process is illustrated and a simulation for the non-Markovian process proposed. Finally, an analytical approximation technique is tested with the help of the stochastic simulation in a model of a dissipative qubit.

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19

Xue, Shibei, Rebing Wu, Tzyh-Jong Tarn e Ian R. Petersen. "Witnessing the boundary between Markovian and non-Markovian quantum dynamics: a Green’s function approach". Quantum Information Processing 14, n. 7 (24 aprile 2015): 2657–72. http://dx.doi.org/10.1007/s11128-015-1000-6.

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20

Musso, Marcello, e Ravi K. Sheth. "On the Markovian assumption in the excursion set approach: the approximation of Markovian Velocities". Monthly Notices of the Royal Astronomical Society 443, n. 2 (23 luglio 2014): 1601–13. http://dx.doi.org/10.1093/mnras/stu1222.

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21

Zheng, Cheng-De. "Stochastic stability of fuzzy Markovian jump neural networks by multiple integral approach". International Journal of Intelligent Computing and Cybernetics 11, n. 1 (12 marzo 2018): 81–105. http://dx.doi.org/10.1108/ijicc-11-2016-0046.

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Purpose The purpose of this paper is to develop a methodology for the stochastically asymptotic stability of fuzzy Markovian jumping neural networks with time-varying delay and continuously distributed delay in mean square. Design/methodology/approach The authors perform Briat Lemma, multiple integral approach and linear convex combination technique to investigate a class of fuzzy Markovian jumping neural networks with time-varying delay and continuously distributed delay. New sufficient criterion is established by linear matrix inequalities conditions. Findings It turns out that the obtained methods are easy to be verified and result in less conservative conditions than the existing literature. Two examples show the effectiveness of the proposed results. Originality/value The novelty of the proposed approach lies in establishing a new Wirtinger-based integral inequality and the use of the Lyapunov functional method, Briat Lemma, multiple integral approach and linear convex combination technique for stochastically asymptotic stability of fuzzy Markovian jumping neural networks with time-varying delay and continuously distributed delay in mean square.

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22

Tarasov, Vasily E. "General Non-Markovian Quantum Dynamics". Entropy 23, n. 8 (31 luglio 2021): 1006. http://dx.doi.org/10.3390/e23081006.

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A general approach to the construction of non-Markovian quantum theory is proposed. Non-Markovian equations for quantum observables and states are suggested by using general fractional calculus. In the proposed approach, the non-locality in time is represented by operator kernels of the Sonin type. A wide class of the exactly solvable models of non-Markovian quantum dynamics is suggested. These models describe open (non-Hamiltonian) quantum systems with general form of nonlocality in time. To describe these systems, the Lindblad equations for quantum observable and states are generalized by taking into account a general form of nonlocality. The non-Markovian quantum dynamics is described by using integro-differential equations with general fractional derivatives and integrals with respect to time. The exact solutions of these equations are derived by using the operational calculus that is proposed by Yu. Luchko for general fractional differential equations. Properties of bi-positivity, complete positivity, dissipativity, and generalized dissipativity in general non-Markovian quantum dynamics are discussed. Examples of a quantum oscillator and two-level quantum system with a general form of nonlocality in time are suggested.

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23

Das, Ashok K., Sudhakar Panda e J. R. L. Santos. "A path integral approach to the Langevin equation". International Journal of Modern Physics A 30, n. 07 (5 marzo 2015): 1550028. http://dx.doi.org/10.1142/s0217751x15500281.

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We study the Langevin equation with both a white noise and a colored noise. We construct the Lagrangian as well as the Hamiltonian for the generalized Langevin equation which leads naturally to a path integral description from first principles. This derivation clarifies the meaning of the additional fields introduced by Martin, Siggia and Rose in their functional formalism. We show that the transition amplitude, in this case, is the generating functional for correlation functions. We work out explicitly the correlation functions for the Markovian process of the Brownian motion of a free particle as well as for that of the non-Markovian process of the Brownian motion of a harmonic oscillator (Uhlenbeck–Ornstein model). The path integral description also leads to a simple derivation of the Fokker–Planck equation for the generalized Langevin equation.

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Chen, Yusui, J. Q. You e Ting Yu. "Non-Markovian quantum interference in multilevel quantum systems: exact master equation approach". Quantum Information and Computation 18, n. 15&16 (dicembre 2018): 1261–71. http://dx.doi.org/10.26421/qic18.15-16-1.

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We study the non-Markovian dynamics of multilevel quantum systems coupled with a bosonic dissipative environment. Based on the known exact quantum-state diffusion (QSD) equations, we propose a systematic approach to derive exact time-convolutionless master equations for multilevel quantum systems. Through a combination of analytical and numerical approaches, we extract the non-Markovian dynamics of quantum interference in different time scales. Also, we demonstrate the evolution of quantum interference in a four-level system controlled by an external electromagnetic field. Our findings are extended to few-body quantum networks, with a universal formalism established.

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25

Cedillo-Campos, Miguel Gastón, José Luis de la Riva-Canizales, Alfredo Bueno-Solano, Jesús Gonzalez-Feliu e Jorge Luis García-Alcaraz. "Reliability in urban freight distribution: A Markovian approach". DYNA 81, n. 187 (24 ottobre 2014): 232–39. http://dx.doi.org/10.15446/dyna.v81n187.46105.

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26

Basari, Abd Samad Hasan, Hazlina Razali, Burairah Hussin, Siti Azirah Asmai, Nuzulha Khilwani Ibrahim e Abdul Samad Shibghatullah. "Markovian approach enhancement to simplify optimal mean estimation". Applied Mathematical Sciences 8 (2014): 5507–16. http://dx.doi.org/10.12988/ams.2014.45373.

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27

Silva, Marcelino S. da, Carlos R. L. Francês, João C. W. A. Costa, Diego L. Cardoso, Nandamudi L. Vijaykumar e Solon V. de Carvalho. "QoS management in smart grids: a Markovian approach". Journal of Microwaves, Optoelectronics and Electromagnetic Applications 13, n. 2 (dicembre 2014): 122–38. http://dx.doi.org/10.1590/s2179-10742014000200002.

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28

Chiang, S. Y., C. T. Kuo e S. M. Meerkov. "Bottlenecks in Markovian production lines: a systems approach". IEEE Transactions on Robotics and Automation 14, n. 2 (aprile 1998): 352–59. http://dx.doi.org/10.1109/70.681256.

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29

Imamog¯lu, A. "Stochastic wave-function approach to non-Markovian systems". Physical Review A 50, n. 5 (1 novembre 1994): 3650–53. http://dx.doi.org/10.1103/physreva.50.3650.

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30

Bellomo, Bruno, Antonella De Pasquale, Giulia Gualdi e Ugo Marzolino. "A tomographic approach to non-Markovian master equations". Journal of Physics A: Mathematical and Theoretical 43, n. 39 (26 agosto 2010): 395303. http://dx.doi.org/10.1088/1751-8113/43/39/395303.

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31

Piunovskiy, A. B., e X. Mao. "Constrained Markovian decision processes: the dynamic programming approach". Operations Research Letters 27, n. 3 (ottobre 2000): 119–26. http://dx.doi.org/10.1016/s0167-6377(00)00039-0.

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32

Buchholz, Peter, e Miklós Telek. "Rational Automata Networks: A Non-Markovian Modeling Approach". INFORMS Journal on Computing 25, n. 1 (febbraio 2013): 87–101. http://dx.doi.org/10.1287/ijoc.1110.0487.

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33

Bonitz, M., J. W. Dufty e Cheng Sub Kim. "BBGKY Approach to Non-Markovian Semiconductor Bloch Equations". physica status solidi (b) 206, n. 1 (marzo 1998): 181–87. http://dx.doi.org/10.1002/(sici)1521-3951(199803)206:1<181::aid-pssb181>3.0.co;2-0.

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34

Topper, Noah, George Atia, Ashutosh Trivedi e Alvaro Velasquez. "Active Grammatical Inference for Non-Markovian Planning". Proceedings of the International Conference on Automated Planning and Scheduling 32 (13 giugno 2022): 647–51. http://dx.doi.org/10.1609/icaps.v32i1.19853.

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Abstract (sommario):

Planning in finite stochastic environments is canonically posed as a Markov decision process where the transition and reward structures are explicitly known. Reinforcement learning (RL) lifts the explicitness assumption by working with sampling models instead. Further, with the advent of reward machines, we can relax the Markovian assumption on the reward. Angluin's active grammatical inference algorithm L* has found novel application in explicating reward machines for non-Markovian RL. We propose maintaining the assumption of explicit transition dynamics, but with an implicit non-Markovian reward signal, which must be inferred from experiments. We call this setting non-Markovian planning, as opposed to non-Markovian RL. The proposed approach leverages L* to explicate an automaton structure for the underlying planning objective. We exploit the environment model to learn an automaton faster and integrate it with value iteration to accelerate the planning. We compare against recent non-Markovian RL solutions which leverage grammatical inference, and establish complexity results that illustrate the difference in runtime between grammatical inference in planning and RL settings.

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Akbari, Nasim, Ali Sadr e Ali Kazemy. "Robust exponential synchronization of a Markovian jump complex dynamical network with piecewise homogeneous Markovian parameters". IMA Journal of Mathematical Control and Information 37, n. 4 (7 aprile 2020): 1168–91. http://dx.doi.org/10.1093/imamci/dnz041.

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Abstract This paper establishes a stochastic synchronization method for a Markovian jump complex dynamical network (MJCDN) with time-delay and uncertainties. The considered Markovian structure is piecewise-homogeneous with piecewise-constant time-varying transition rates (TRs). Two Markovian signals are utilized to construct the piecewise-homogeneous Markovian structure. A low-level Markovian signal with time-varying TRs governs the switching between the system dynamics while it is managed by a high-level Markovian signal. Due to the effect of imperfections induced by modeling errors in the system dynamics, some parametric norm-bounded uncertainties are considered. In addition, uncertain TR matrix is considered which means that inaccurate or uncertain information for each element of the TR matrix is allowable. This modelling makes the MJCDN to be more general and applicable than the existing ones. Synchronization conditions are obtained and reported in the form of linear matrix inequalities by the help of Lyapunov–Krasovskii theory, Wirtinger-based integral inequality approach and reciprocally convex technique. Finally, a numerical example is presented to verify the effectiveness of the proposed method.

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36

Izvekov, Yury, Oleg Tulupov, Vladislav Dubrovsky e Alexey Kanel-Belov. "Stochastic Processes Occurring during the Transition of Technical State of the Structure". MATEC Web of Conferences 346 (2021): 03036. http://dx.doi.org/10.1051/matecconf/202134603036.

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The possibility of applying the theory of stochastic processes for evaluating the dynamic pattern of different states is studied for critical-duty structures. Heterogeneous Markovian processes of technical state transition for metallurgical overhead crane structure, Markovian theorem and Kolmogorov-Chapman equation are analyzed. Markovian chain is reviewed at t →∞, i.e. under marginal steady-state (stabilized) condition. Real values of limit probabilities are obtained for the structure of the metallurgical overhead crane under review. The proposed approach redefines and elaborates the existing methods and procedures for evaluating the technical state of structures and reduces the level of ambiguity associated with such kind of problems.

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37

Zhou, Wuneng, Anding Dai, Dongbing Tong e Jun Yang. "Exponential Synchronization of Stochastic Complex Dynamical Networks with Impulsive Perturbations and Markovian Switching". Mathematical Problems in Engineering 2014 (2014): 1–10. http://dx.doi.org/10.1155/2014/927858.

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This paper investigates the exponential synchronization problem of stochastic complex dynamical networks with impulsive perturbation and Markovian switching. The complex dynamical networks consist ofκmodes, and the networks switch from one mode to another according to a Markovian chain with known transition probability. Based on the Lyapunov function method and stochastic analysis, by employingM-matrix approach, some sufficient conditions are presented to ensure the exponential synchronization of stochastic complex dynamical networks with impulsive perturbation and Markovian switching, and the upper bound of impulsive gain is evaluated. At the end of this paper, two numerical examples are included to show the effectiveness of our results.

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38

Špička, Václav, Bedřich Velický e Anděla Kalvová. "Electron systems out of equilibrium: Nonequilibrium Green's function approach". International Journal of Modern Physics B 28, n. 23 (13 luglio 2014): 1430013. http://dx.doi.org/10.1142/s0217979214300138.

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This review deals with the state of the art and perspectives of description of nonequilibrium many-body systems using the nonequilibrium Green's function (NGF) method. The basic aim is to describe time evolution of the many-body system from its initial state over its transient dynamics to its long time asymptotic evolution. First, we discuss basic aims of transport theories to motivate the introduction of the NGF techniques. Second, this article summarizes the present view on construction of the electron transport equations formulated within the NGF approach to nonequilibrium. We discuss incorporation of complex initial conditions to the NGF formalism, and the NGF reconstruction theorem, which serves as a tool to derive simplified kinetic equations. Three stages of evolution of the nonequilibrium, the first described by the full NGF description, the second by a non-Markovian generalized master equation and the third by a Markovian master equation will be related to each other.

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Cui, Lirong, Alan Hawkes e He Yi. "An elementary derivation of moments of Hawkes processes". Advances in Applied Probability 52, n. 1 (marzo 2020): 102–37. http://dx.doi.org/10.1017/apr.2019.53.

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AbstractHawkes processes have been widely used in many areas, but their probability properties can be quite difficult. In this paper an elementary approach is presented to obtain moments of Hawkes processes and/or the intensity of a number of marked Hawkes processes, in which the detailed outline is given step by step; it works not only for all Markovian Hawkes processes but also for some non-Markovian Hawkes processes. The approach is simpler and more convenient than usual methods such as the Dynkin formula and martingale methods. The method is applied to one-dimensional Hawkes processes and other related processes such as Cox processes, dynamic contagion processes, inhomogeneous Poisson processes, and non-Markovian cases. Several results are obtained which may be useful in studying Hawkes processes and other counting processes. Our proposed method is an extension of the Dynkin formula, which is simple and easy to use.

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40

Nie, Yanyi, Wenyao Li, Liming Pan, Tao Lin e Wei Wang. "Markovian approach to tackle competing pathogens in simplicial complex". Applied Mathematics and Computation 417 (marzo 2022): 126773. http://dx.doi.org/10.1016/j.amc.2021.126773.

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Filip, Dariusz, e Tomasz Rogala. "Analysis of Polish mutual funds performance: a Markovian approach". Statistics in Transition New Series 22, n. 1 (2021): 115–30. http://dx.doi.org/10.21307/stattrans-2021-006.

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Lucente, D., A. Petri e A. Vulpiani. "A Markovian approach to the Prandtl–Tomlinson frictional model". Physica A: Statistical Mechanics and its Applications 572 (giugno 2021): 125899. http://dx.doi.org/10.1016/j.physa.2021.125899.

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43

Aberkane, S. "Reconfigurable Control Systems: A Nonhomogeneous Markovian Jump System Approach". IFAC Proceedings Volumes 44, n. 1 (gennaio 2011): 5425–29. http://dx.doi.org/10.3182/20110828-6-it-1002.02376.

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Li, Jingshan, e Ningjian Huang. "Quality Evaluation in Flexible Manufacturing Systems: A Markovian Approach". Mathematical Problems in Engineering 2007 (2007): 1–24. http://dx.doi.org/10.1155/2007/57128.

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The flexible manufacturing system (FMS) has attracted substantial amount of research effort during the last twenty years. Most of the studies address the issues of flexibility, productivity, cost, and so forth. The impact of flexible lines on product quality is less studied. This paper intends to address this issue by applying a Markov model to evaluate quality performance of a flexible manufacturing system. Closed expressions to calculate good part probability are derived and discussions to maintain high product quality are carried out. An example of flexible fixture in machining system is provided to illustrate the applicability of the method. The results of this study suggest a possible approach to investigate the impact of flexibility on product quality and, finally, with extensions and enrichment of the model, may lead to provide production engineers and managers a better understanding of the quality implications and to summarize some general guidelines of operation management in flexible manufacturing systems.

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Carruba, V., F. Roig, T. A. Michtchenko, S. Ferraz-Mello e D. Nesvorný. "Modeling close encounters with massive asteroids: a Markovian approach". Astronomy & Astrophysics 465, n. 1 (11 gennaio 2007): 315–30. http://dx.doi.org/10.1051/0004-6361:20066056.

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46

Fain, Benjamin. "Relaxation via spontaneous emission of bosons: Non-Markovian approach". Physical Review A 37, n. 2 (1 gennaio 1988): 546–58. http://dx.doi.org/10.1103/physreva.37.546.

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Luh, Peter B., Yaowen Yu, Bingjie Zhang, Eugene Litvinov, Tongxin Zheng, Feng Zhao, Jinye Zhao e Congcong Wang. "Grid Integration of Intermittent Wind Generation: A Markovian Approach". IEEE Transactions on Smart Grid 5, n. 2 (marzo 2014): 732–41. http://dx.doi.org/10.1109/tsg.2013.2268462.

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48

Melodelima, Christelle, Christian Gautier e Didier Piau. "A markovian approach for the prediction of mouse isochores". Journal of Mathematical Biology 55, n. 3 (8 maggio 2007): 353–64. http://dx.doi.org/10.1007/s00285-007-0087-5.

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Bottazzi, F., Th M. Liebling, J. L. Scartezzini e M. Nygård-Ferguson. "On a Markovian approach for modeling passive solar devices". Energy and Buildings 17, n. 2 (gennaio 1991): 103–16. http://dx.doi.org/10.1016/0378-7788(91)90003-l.

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Lee, Byung Kwon, Loo Hay Lee e Ek Peng Chew. "Analysis on container port capacity: a Markovian modeling approach". OR Spectrum 36, n. 2 (17 gennaio 2013): 425–54. http://dx.doi.org/10.1007/s00291-012-0318-z.

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Articoli di riviste sul tema "MARKOVIAN APPROACH"

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