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Journal articles on the topic 'Non-homogeneous'

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Published: 4 June 2021
Last updated: 29 January 2023

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1

Pashenkov, V. V. "Homogeneous and non-homogeneous duality." Russian Mathematical Surveys 42, no. 5 (October 31, 1987): 95–121. http://dx.doi.org/10.1070/rm1987v042n05abeh001486.

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2

Liu, Jun, Junping Kong, and Qinying Fan. "Performance Analysis of Non-Homogeneous Hybrid Production Lines." International Journal of Machine Learning and Computing 4, no. 5 (2014): 463–67. http://dx.doi.org/10.7763/ijmlc.2014.v4.455.

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3

Rahimov, Ibrahim. "Homogeneous Branching Processes with Non-Homogeneous Immigration." Stochastics and Quality Control 36, no. 2 (December 1, 2021): 165–83. http://dx.doi.org/10.1515/eqc-2021-0033.

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Abstract The stationary immigration has a limited effect over the asymptotic behavior of the underlying branching process. It affects mostly the limiting distribution and the life-period of the process. In contrast, if the immigration rate changes over time, then the asymptotic behavior of the process is significantly different and a variety of new phenomena are observed. In this review we discuss branching processes with time non-homogeneous immigration. Our goal is to help researchers interested in the topic to familiarize themselves with the current state of research.
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4

Zaballa, Ion, and Juan M. Gracia. "On difference linear periodic systems II. Non-homogeneous case." Applications of Mathematics 30, no. 6 (1985): 403–12. http://dx.doi.org/10.21136/am.1985.104170.

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5

Cattiaux, Patrick, and Laurent Mesnager. "Hypoelliptic non-homogeneous diffusions." Probability Theory and Related Fields 123, no. 4 (August 1, 2002): 453–83. http://dx.doi.org/10.1007/s004400100194.

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6

Capitelli, Nicolas Ariel, and Elias Gabriel Minian. "Non-homogeneous combinatorial manifolds." Beiträge zur Algebra und Geometrie / Contributions to Algebra and Geometry 54, no. 1 (June 17, 2012): 419–39. http://dx.doi.org/10.1007/s13366-012-0114-6.

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7

Panario, Daniel, Murat Sahin, and Qiang Wang. "Non-homogeneous conditional recurrences." Linear and Multilinear Algebra 66, no. 10 (October 3, 2017): 2089–99. http://dx.doi.org/10.1080/03081087.2017.1384445.

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8

Amann, Manuel. "Non-formal homogeneous spaces." Mathematische Zeitschrift 274, no. 3-4 (December 6, 2012): 1299–325. http://dx.doi.org/10.1007/s00209-012-1117-6.

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9

Chattopadhyay, A., S. Gupta, Pato Kumari, and V. K. Sharma. "Torsional wave propagation in non-homogeneous layer between non-homogeneous half-spaces." International Journal for Numerical and Analytical Methods in Geomechanics 37, no. 10 (February 24, 2012): 1280–91. http://dx.doi.org/10.1002/nag.2083.

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10

Yeh, W. C., C. K. Hu, F. B. Liu, and C. F. Hu. "Efficiency Measurement for Non-homogeneous Units in a Fuzzy Environment." International Journal of Trade, Economics and Finance 11, no. 4 (August 2020): 65–70. http://dx.doi.org/10.18178/ijtef.2020.11.4.668.

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11

Peyraut, F., Z. Q. Feng, Q. C. He, and N. Labed. "Robust numerical analysis of homogeneous and non-homogeneous deformations." Applied Numerical Mathematics 59, no. 7 (July 2009): 1499–514. http://dx.doi.org/10.1016/j.apnum.2008.10.002.

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12

OBERLACK, MARTIN. "Non-isotropic dissipation in non-homogeneous turbulence." Journal of Fluid Mechanics 350 (November 10, 1997): 351–74. http://dx.doi.org/10.1017/s002211209700712x.

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On the basis of the two-point velocity correlation equation a new tensor length-scale equation and in turn a dissipation rate tensor equation and the pressure–strain correlation are derived by means of asymptotic analysis and frame-invariance considerations. The new dissipation rate tensor equation can account for non-isotropy effects of the dissipation rate and streamline curvature. The entire analysis is valid for incompressible as well as for compressible turbulence in the limit of small Mach numbers. The pressure–strain correlation is expressed as a functional of the two-point correlation, leading to an extended compressible version of the linear formulation of the pressure–strain correlation. In this turbulence modelling approach the only terms which still need ad hoc closure assumptions are the triple correlation of the fluctuating velocities and a tensor relation between the length scale and the dissipation rate tensor. Hence, a consistent formulation of the return term in the pressure–strain correlation and the dissipation tensor equation is achieved. The model has been integrated numerically for several different homogeneous and inhomogeneous test cases and results are compared with DNS, LES and experimental data.
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13

Vassiliou, P. C. G. "Non-Homogeneous Markov Set Systems." Mathematics 9, no. 5 (February 25, 2021): 471. http://dx.doi.org/10.3390/math9050471.

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A more realistic way to describe a model is the use of intervals which contain the required values of the parameters. In practice we estimate the parameters from a set of data and it is natural that they will be in confidence intervals. In the present study, we study Non-Homogeneous Markov Systems (NHMS) processes for which the required basic parameters are in intervals. We call such processes Non-Homogeneous Markov Set Systems (NHMSS). First we study the set of the relative expected population structure of memberships and we prove that under certain conditions of convexity of the intervals of the parameters the set is compact and convex. Next, we establish that if the NHMSS starts with two different initial distributions sets and allocation probability sets under certain conditions, asymptotically the two expected relative population structures coincide geometrically fast. We continue proving a series of theorems on the asymptotic behavior of the expected relative population structure of a NHMSS and the properties of their limit set. Finally, we present an application for geriatric and stroke patients in a hospital and through it we solve problems that surface in an application.
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14

Shayya, Bassam. "Non-homogeneous strongly singular integrals." Studia Mathematica 187, no. 3 (2008): 265–80. http://dx.doi.org/10.4064/sm187-3-4.

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15

Carlson, Nathan A. "Non-regular power homogeneous spaces." Topology and its Applications 154, no. 2 (January 2007): 302–8. http://dx.doi.org/10.1016/j.topol.2006.04.019.

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16

Buck, Matthew. "Non-Linear Homogeneous Differential Polynomials." Computational Methods and Function Theory 12, no. 1 (November 30, 2011): 145–50. http://dx.doi.org/10.1007/bf03321818.

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17

Alves, M. S., M. A. Jorge Silva, T. F. Ma, and J. E. Muñoz Rivera. "Non-Homogeneous Thermoelastic Timoshenko Systems." Bulletin of the Brazilian Mathematical Society, New Series 48, no. 3 (February 10, 2017): 461–84. http://dx.doi.org/10.1007/s00574-017-0030-3.

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18

Chukova, Stefanka, and Leda D. Minkova. "Non-homogeneous Pólya-Aeppli process." Communications in Statistics - Simulation and Computation 48, no. 10 (October 27, 2018): 2955–67. http://dx.doi.org/10.1080/03610918.2018.1469763.

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19

Frehse, Jens, and Michael Růžička. "Non-homogeneous generalized Newtonian fluids." Mathematische Zeitschrift 260, no. 2 (November 21, 2007): 355–75. http://dx.doi.org/10.1007/s00209-007-0278-1.

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20

Shadman, Dariush, and Bahman Mehri. "A non-homogeneous Hill’s equation." Applied Mathematics and Computation 167, no. 1 (August 2005): 68–75. http://dx.doi.org/10.1016/j.amc.2004.06.072.

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21

Vrbik, J., B. M. Singh, J. Rokne, and R. S. Dhaliwal. "The breaking of a non-homogeneous fiber embedded in an infinite non-homogeneous medium." Zeitschrift f�r Angewandte Mathematik und Physik (ZAMP) 54, no. 2 (March 1, 2003): 212–23. http://dx.doi.org/10.1007/s000330300001.

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22

Ohkawa, K. "ICONE15-10708 ASSESSMENT OF HOMOGENEOUS NON-EQUILIBRIUM RELAXATION CRITICAL FLOW MODEL." Proceedings of the International Conference on Nuclear Engineering (ICONE) 2007.15 (2007): _ICONE1510. http://dx.doi.org/10.1299/jsmeicone.2007.15._icone1510_380.

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23

Calvaruso, Giovanni, Anna Fino, and Amirhesam Zaeim. "Homogeneous geodesics of non-reductive homogeneous pseudo-Riemannian 4-manifolds." Bulletin of the Brazilian Mathematical Society, New Series 46, no. 1 (March 2015): 23–64. http://dx.doi.org/10.1007/s00574-015-0083-0.

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24

Yarovaya, Elena. "Symmetric Branching Walks in Homogeneous and Non Homogeneous Random Environments." Communications in Statistics - Simulation and Computation 41, no. 7 (August 2012): 1232–49. http://dx.doi.org/10.1080/03610918.2012.625856.

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25

Marotti de Sciarra, Francesco. "On non-local and non-homogeneous elastic continua." International Journal of Solids and Structures 46, no. 3-4 (February 2009): 651–76. http://dx.doi.org/10.1016/j.ijsolstr.2008.09.018.

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26

Pereira, André G. C., and Viviane S. M. Campos. "Multistage non homogeneous Markov chain modeling of the non homogeneous genetic algorithm and convergence results." Communications in Statistics - Theory and Methods 45, no. 6 (November 7, 2015): 1794–804. http://dx.doi.org/10.1080/03610926.2014.997358.

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27

Rehman, A., and Iram Khaliq. "Plane Harmonic Elastic Waves in Homogeneous and Non-Homogeneous Isotropic Material." Journal of Advances in Civil Engineering 4, no. 1 (November 4, 2017): 19–23. http://dx.doi.org/10.18831/djcivil.org/2018011005.

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28

AL-Raid Sadiq, Basheer Abd. "Homogeneous and Non Homogeneous Ordinary Differential Equations with the Second Order." IOP Conference Series: Materials Science and Engineering 928 (November 19, 2020): 042026. http://dx.doi.org/10.1088/1757-899x/928/4/042026.

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29

Sikander, Waseem, Umar Khan, Naveed Ahmed, and Syed Tauseef Mohyud-Din. "Optimal solutions for homogeneous and non-homogeneous equations arising in physics." Results in Physics 7 (2017): 216–24. http://dx.doi.org/10.1016/j.rinp.2016.12.018.

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30

Blasi, A., J. Janssen, and R. Manca. "Numerical Treatment of Homogeneous and Non-homogeneous Semi-Markov Reliability Models." Communications in Statistics - Theory and Methods 33, no. 3 (January 5, 2004): 697–714. http://dx.doi.org/10.1081/sta-120028692.

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31

Méndez-Sánchez, Arturo F., M. Rosario López-González, V. Hugo Rolón-Garrido, José Pérez-González, and Lourdes de Vargas. "Instabilities of micellar systems under homogeneous and non-homogeneous flow conditions." Rheologica Acta 42, no. 1-2 (June 26, 2002): 56–63. http://dx.doi.org/10.1007/s00397-002-0254-y.

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32

Miura, Kenji, Amir M. Kaynia, Kiyoshi Masuda, Eiji Kitamura, and Yutaka Seto. "Dynamic behaviour of pile foundations in homogeneous and non-homogeneous media." Earthquake Engineering & Structural Dynamics 23, no. 2 (February 1994): 183–92. http://dx.doi.org/10.1002/eqe.4290230206.

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33

الجوراني, Khalid Hadi Hameed. "Rationalized Haar Series for Approach Homogeneous and Non-Homogeneous State Equations." المجلة العربية للعلوم و نشر الأبحاث 8, no. 4 (December 30, 2022): 111–22. http://dx.doi.org/10.26389/ajsrp.j031022.

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In this paper, we give a new approximate solution method to homogeneous and non-homogeneous state equations using rationalized Haar functions. Integration operational matrix of rationalized Haar functions are used to convert the computation of homogeneous and non homogeneous state equations to a simple system of algebraic equations. By using the method (based on Matlab programming) on numerical analysis examples, we show that our method has high degree of accuracy.
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34

Praba, B., and R. Saranya. "Non Homogeneous Rough Finite State Automaton." Revista Gestão Inovação e Tecnologias 11, no. 2 (June 5, 2021): 629–41. http://dx.doi.org/10.47059/revistageintec.v11i2.1700.

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Objective: The study of finite state automaton is an essential tool in machine learning and artificial intelligence. The class of rough finite state automaton captures the uncertainty using the rough transition map. The need to generalize this concept arises to adhere the dynamical behaviour of the system. Hence this paper focuses on defining non-homogeneous rough finite state automaton. Methodology: With the aid of Rough finite state automata we define the concept of non-homogeneous rough finite state automata. Findings: Non homogeneous Rough Finite State Automata (NRFSA) Mt is defined by a tuple (Q,Σ,δt,q0 (t),F(t)) The dynamical behaviour of any system can be expressed in terms of an information system at time t. This leads us to define non-homogeneous rough finite state automaton. For each time ‘t’ we generate lower approximation rough finite state automaton Mt_ and the upper approximation rough finite state automaton Mt- and the defined concepts are elaborated with suitable examples. The ordered pair , Mt=(M(t)-,M(t)-) is called as the non-homogeneous rough finite state automaton. Conclusion: Over all our study reveals the characterization of the system which changes its behaviour dynamically over a time ‘t’. Novelty: The novelty of the proposed article is that it clearly immense the system behaviour over a time ‘t’. Using this concept the possible and the definite transitions in the system can be calculated in any given time ‘t’.
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35

Agnesi, Antonio. "Charge density in non-homogeneous media." European Journal of Physics 43, no. 3 (February 23, 2022): 035202. http://dx.doi.org/10.1088/1361-6404/ac5121.

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Abstract Expressions for charge density in non-homogeneous dielectric and ohmic conductors are very simple to derive, but are generally omitted even in relatively sophisticated textbooks. A deceptive situation for which basic laws seem to be violated in an ohmic conductor is highlighted.
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36

Lo, Chak Hei, Mikhail V. Menshikov, and Andrew R. Wade. "Cutpoints of non-homogeneous random walks." Latin American Journal of Probability and Mathematical Statistics 19, no. 1 (2022): 493. http://dx.doi.org/10.30757/alea.v19-19.

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37

Lusis, Vitalijs, and Andrejs Krasnikovs. "Fiberconcrete with Non-Homogeneous Fibers Distribution." Environment. Technology. Resources. Proceedings of the International Scientific and Practical Conference 2 (August 8, 2015): 67. http://dx.doi.org/10.17770/etr2013vol2.856.

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In this research fiber reinforced concrete prisms with layers of non-homogeneous distribution of fibers inside them were elaborated. Fiber reinforced concrete is important material for load bearing structural elements. Traditionally fibers are homogeneously dispersed in a concrete. At the same time in many situations fiber reinforced concrete with homogeneously dispersed fibers is not optimal (majority of added fibers are not participating in load bearing process). It is possible to create constructions with non-homogeneous distribution of fibers in them in different ways. Present research is devoted to one of them. In the present research three different types of layered prisms with the same amount of fibers in them were experimentally produced (of this research prisms of non-homogeneous fiber reinforced concrete with dimensions 100×100×400 mm were designed. and prisms with homogeneously dispersed fibers were produced for reference as well). Prisms were tested under four point bending conditions till crack opening in each prism reached 6 mm. During the testing vertical deflection at the center of a prism and crack opening were fixed by the linear displacements transducers in real time.
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38

Dong, Yujuan, Meifeng Dai, and Dandan Ye. "Non-Homogeneous Fractal Hierarchical Weighted Networks." PLOS ONE 10, no. 4 (April 7, 2015): e0121946. http://dx.doi.org/10.1371/journal.pone.0121946.

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39

Antunes, Pedro R. S. "Harmonic Configurations of Non-Homogeneous Membranes." Acta Acustica united with Acustica 103, no. 4 (July 1, 2017): 596–606. http://dx.doi.org/10.3813/aaa.919088.

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40

Kraevoy, Vladislav, Alla Sheffer, Ariel Shamir, and Daniel Cohen-Or. "Non-homogeneous resizing of complex models." ACM Transactions on Graphics 27, no. 5 (December 2008): 1–9. http://dx.doi.org/10.1145/1409060.1409064.

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41

Kharrat, Thouraya. "Stability of homogeneous non-linear systems." IMA Journal of Mathematical Control and Information 34, no. 2 (September 29, 2015): 451–61. http://dx.doi.org/10.1093/imamci/dnv050.

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42

SHU, An-ping, Le WANG, and Kai YANG. "Modeling for Non-homogeneous Debris Flow." International Journal of Erosion Control Engineering 3, no. 1 (2010): 75–79. http://dx.doi.org/10.13101/ijece.3.75.

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43

Guo, Wei Dong, and Mark F. Randolph. "Torsional piles in non-homogeneous media." Computers and Geotechnics 19, no. 4 (January 1996): 265–87. http://dx.doi.org/10.1016/s0266-352x(96)00009-2.

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44

Dey, Agnish, and Arunava Mukherjea. "Collapsing of non-homogeneous Markov chains." Statistics & Probability Letters 84 (January 2014): 140–48. http://dx.doi.org/10.1016/j.spl.2013.10.002.

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45

Leonenko, Nikolai, Enrico Scalas, and Mailan Trinh. "The fractional non-homogeneous Poisson process." Statistics & Probability Letters 120 (January 2017): 147–56. http://dx.doi.org/10.1016/j.spl.2016.09.024.

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46

Meda, Stefano. "On non-isotropic homogeneous Lipschitz spaces." Journal of the Australian Mathematical Society. Series A. Pure Mathematics and Statistics 47, no. 2 (October 1989): 240–55. http://dx.doi.org/10.1017/s1446788700031670.

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AbstractWe prove that in a non-isotropic Euclidean space, homogeneous Lipschitz spaces of distributions, defined in terms of (generalized) Weierstrass integrals, can be characterized by means of higher order difference operators.
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47

Boeckx, Eric, Oldřich Kowalski, and Lieven Vanhecke. "Non-homogeneous relatives of symmetric spaces." Differential Geometry and its Applications 4, no. 1 (March 1994): 45–69. http://dx.doi.org/10.1016/0926-2245(94)90008-6.

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48

Ressel, Paul. "Non-homogeneous de Finetti-type theorems." Journal of Theoretical Probability 7, no. 2 (April 1994): 469–82. http://dx.doi.org/10.1007/bf02214278.

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49

Tiwari, Geetam, Joseph Fazio, and Sushant Gaurav. "Traffic planning for non-homogeneous traffic." Sadhana 32, no. 4 (August 2007): 309–28. http://dx.doi.org/10.1007/s12046-007-0027-5.

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50

Ferrari, Pablo A., Beat M. Niederhauser, and Eugene A. Pechersky. "Harness Processes and Non-Homogeneous Crystals." Journal of Statistical Physics 128, no. 5 (June 29, 2007): 1159–76. http://dx.doi.org/10.1007/s10955-007-9343-8.

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