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Articles de revues sur le sujet « Discrete approach »

Auteur : Grafiati

Publié le 10 mars 2023

Mis à jour le 31 juillet 2025

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1

Khosiyono, Banun Havifah cahyo. "DISCRETE AND INTEGRATED APPROACH AND THE IMPLICATIONS ON LANGUAGE TEACHING LEARNING MANAGEMENT." Prominent 4, no. 1 (2021): 19–29. http://dx.doi.org/10.24176/pro.v4i1.5755.

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This paper describes discrete and integrated approach and the implication on language teaching learning management. Discrete approach emphasizes on the teaching and learning a language discretely, whereas integrated approach emphasizes on the whole language, namely speaking, writing, listening, reading, pronunciation, grammar, and vocabulary. In fact, both are interrelated since discrete learning is the basis for integrated learning. Both should be implemented in the teaching learning process in the classroom so that students are able to use the language well. Therefore, the curriculum or the

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2

Dias-da-Costa, D., J. Alfaiate, L. J. Sluys, and E. Júlio. "A discrete strong discontinuity approach." Engineering Fracture Mechanics 76, no. 9 (2009): 1176–201. http://dx.doi.org/10.1016/j.engfracmech.2009.01.011.

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3

Djadja, M., A. Naamane, and N. Giambiasi. "Approach for discrete event simulation." Electronics Letters 34, no. 16 (1998): 1615. http://dx.doi.org/10.1049/el:19981112.

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4

Kantelhardt, Jan W., H. Eduardo Roman, and Martin Greiner. "Discrete wavelet approach to multifractality." Physica A: Statistical Mechanics and its Applications 220, no. 3-4 (1995): 219–38. http://dx.doi.org/10.1016/0378-4371(95)00267-b.

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5

do Nascimento, Roberto Quirino, Ana Flávia Uzeda dos Santos Macambira, Lucidio dos Anjos Formiga Cabral, and Renan Vicente Pinto. "The discrete ellipsoid covering problem: A discrete geometric programming approach." Discrete Applied Mathematics 164 (February 2014): 276–85. http://dx.doi.org/10.1016/j.dam.2012.10.016.

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6

LIU, WEI YI, JIN LI, KUN YUE, NING SONG, and HONG YAO. "AN APPROACH FOR SOLVING FUZZY GAMES." International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 14, no. 03 (2006): 277–92. http://dx.doi.org/10.1142/s0218488506004011.

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This paper is to compute a Nash equilibrium in a fuzzy environment, which is represented by a fuzzy approximate Nash equilibrium in a space of discrete mixed strategies. For discrete mixed strategies, the relationship between the discrete degree and the approximate degree is discussed. Based on the fuzzy regret degree, a genetic algorithm for computing a fuzzy Nash equilibrium is given.

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7

Stefanov, Stefan M. "On the Application of Iterative Methods of Nondifferentiable Optimization to Some Problems of Approximation Theory." Mathematical Problems in Engineering 2014 (2014): 1–10. http://dx.doi.org/10.1155/2014/165701.

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We consider the data fitting problem, that is, the problem of approximating a function of several variables, given by tabulated data, and the corresponding problem for inconsistent (overdetermined) systems of linear algebraic equations. Such problems, connected with measurement of physical quantities, arise, for example, in physics, engineering, and so forth. A traditional approach for solving these two problems is the discrete least squares data fitting method, which is based on discretel2-norm. In this paper, an alternative approach is proposed: with each of these problems, we associate a no

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8

Zhukovskiy, V., and L. Smirnova. "UNCERTAINTY AND DISCRETE MAXIMIN." TAURIDA JOURNAL OF COMPUTER SCIENCE THEORY AND MATHEMATICS, no. 1 (November 25, 2022): 7–31. http://dx.doi.org/10.29039/1729-3901-2021-20-1-7-31.

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The article consists of two parts. The ﬁrst part is devoted to general questions that are related to uncertainty: causes and sources of uncertainties appearance, classiﬁcation of uncertainties in economic systems and approach to their assessment. In the second part the concept of maximin, based on the principle of guaranteed result (Wald’s principle) is considered. In this case, maximin is interpreted from viewpoint of two-level hierarchical game. On the basis of the maximin concept, a guaranteed solution in outcomes for K-stage positional single-criterion linear quadratic problem under uncert

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9

Patra, Rashmirekha, and Nihar Ranjan Satapathy. "Novel finite difference approach to discretize the symplectic dirac operator." Annals of Mathematics and Computer Science 18 (October 1, 2023): 90–103. http://dx.doi.org/10.56947/amcs.v18.211.

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Symplectic Dirac operator is an intertwining differential operator. Discretising symplectic Dirac operator gives a new direction to study the quantum space. The construction of discrete symplectic Dirac operator requires the theory of discrete symplectic Clifford analysis or the concept of discrete symplectic connections, which are not explained in literature. In this work, a discretization approach for symplectic Dirac operator is suggested by considering the forward and backward basis vectors on symplectic Clifford algebra. The suggested discrete symplectic Dirac operator is Ds=Ds++Ds- where

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10

Blachowski, Bartlomiej, and Witold Gutkowski. "A hybrid continuous-discrete approach to large discrete structural optimization problems." Structural and Multidisciplinary Optimization 41, no. 6 (2009): 965–77. http://dx.doi.org/10.1007/s00158-009-0466-1.

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11

Antoine, J. P., Y. B. Kouagou, D. Lambert, and B. Torrésani. "An algebraic approach to discrete dilations. Application to discrete wavelet transforms." Journal of Fourier Analysis and Applications 6, no. 2 (2000): 113–41. http://dx.doi.org/10.1007/bf02510656.

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12

Hager, Kevin, and Richard Balling. "New Approach for Discrete Structural Optimization." Journal of Structural Engineering 114, no. 5 (1988): 1120–34. http://dx.doi.org/10.1061/(asce)0733-9445(1988)114:5(1120).

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13

Rioul, O. "Regular wavelets: a discrete-time approach." IEEE Transactions on Signal Processing 41, no. 12 (1993): 3572–79. http://dx.doi.org/10.1109/78.258100.

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14

Das, Ashish, and Rakhi Singh. "Discrete choice experiments—A unified approach." Journal of Statistical Planning and Inference 205 (March 2020): 193–202. http://dx.doi.org/10.1016/j.jspi.2019.07.003.

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15

Garc�a-Cutr�n, Javier, and Carlos Herv�s-Beloso. "A discrete approach to continuum economies." Economic Theory 3, no. 3 (1993): 577–83. http://dx.doi.org/10.1007/bf01209704.

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16

Baez, John C., and James W. Gilliam. "An algebraic approach to discrete mechanics." Letters in Mathematical Physics 31, no. 3 (1994): 205–12. http://dx.doi.org/10.1007/bf00761712.

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17

Nedjalkov, Mihail, and Dragica Vasileska. "Semi-discrete 2D Wigner-particle approach." Journal of Computational Electronics 7, no. 3 (2008): 222–25. http://dx.doi.org/10.1007/s10825-008-0197-3.

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18

Hall, Peter, and Peihua Qiu. "Discrete-transform approach to deconvolution problems." Biometrika 92, no. 1 (2005): 135–48. http://dx.doi.org/10.1093/biomet/92.1.135.

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19

Cufí, Julià, Agustí eventós, and Carlos J. Rodríguez. "A discrete approach to Wirtinger's inequality." Journal of Mathematical Inequalities, no. 3 (2019): 737–46. http://dx.doi.org/10.7153/jmi-2019-13-50.

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20

Sarkar, Prasanta. "Discrete-time Systems—A Unified Approach." IETE Journal of Research 52, no. 6 (2006): 471–79. http://dx.doi.org/10.1080/03772063.2006.11416487.

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21

Miller, Russ. "A modern approach to discrete structures." International Journal of Teaching and Case Studies 9, no. 1 (2018): 33. http://dx.doi.org/10.1504/ijtcs.2018.090194.

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22

Miller, Russ. "A modern approach to discrete structures." International Journal of Teaching and Case Studies 9, no. 1 (2018): 33. http://dx.doi.org/10.1504/ijtcs.2018.10011119.

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23

Bossavit, Alain. "Discrete Magneto-Elasticity: A Geometrical Approach." IEEE Transactions on Magnetics 46, no. 8 (2010): 3485–91. http://dx.doi.org/10.1109/tmag.2010.2043346.

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24

Large, M. C. J., D. R. McKenzie, and M. I. Large. "Incoherent reflection processes: a discrete approach." Optics Communications 128, no. 4-6 (1996): 307–14. http://dx.doi.org/10.1016/0030-4018(95)00761-x.

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25

Melnikov, B. F. "Multiheuristic approach to discrete optimization problems." Cybernetics and Systems Analysis 42, no. 3 (2006): 335–41. http://dx.doi.org/10.1007/s10559-006-0070-y.

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26

Salari, Amjad, Giuseppe Caristi, David Barilla, and Alfio Puglisi. "A Variational Approach to Perturbed Discrete Anisotropic Equations." Abstract and Applied Analysis 2016 (2016): 1–12. http://dx.doi.org/10.1155/2016/5676138.

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We continue the study of discrete anisotropic equations and we will provide new multiplicity results of the solutions for a discrete anisotropic equation. We investigate the existence of infinitely many solutions for a perturbed discrete anisotropic boundary value problem. The approach is based on variational methods and critical point theory.

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27

Ricker, S. L., N. Sarkar, and K. Rudiet. "A discrete-event systems approach to modeling dextrous manipulation." Robotica 14, no. 5 (1996): 515–25. http://dx.doi.org/10.1017/s0263574700020002.

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SUMMARYTo perform dextrous manipulation efficiently, it is necessary to coordinate the interactions of many component processes. This paper investigates one approach to coordination: discrete-event systems. The applicability of discrete-event systems to the modeling of dextrous manipulation tasks is studied. Discrete-event control theory offers formal methods for determining whether a coordinator of the components can be generated. A representative dextrous manipulation task, the planar Grasp-Lift-Replace task of Howe and Cutkosky, is presented as a discrete-event process. The task is extended

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28

ELMOATAZ, ABDERRAHIM, SOPHIE SCHÜPP, and DANIEL BLOYET. "FAST AND SIMPLE DISCRETE APPROACH FOR ACTIVE CONTOURS FOR BIOMEDICAL APPLICATIONS." International Journal of Pattern Recognition and Artificial Intelligence 15, no. 07 (2001): 1201–12. http://dx.doi.org/10.1142/s0218001401001386.

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In this paper, we present a fast and simple discrete approach for active contours. It is based on discrete contour evolution, which operates on the boundary of digital shape, by iterative growth processes on the boundary of the shape. We consider a curve to be the boundary of a discrete shape. We attach at each point of the boundary a cost function and deform this shape according to that cost function. The method presents some advantages. It is a discrete method, which takes an implicit representation and uses discrete algorithm with a simple data structure.

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29

Mishchenko, Sergey, Vitaliy Shatskiy, Alexey Litvinov, and Denis Eliseev. "The method of array antenna constructive synthesis on the basis of neural network approach." ITM Web of Conferences 30 (2019): 05001. http://dx.doi.org/10.1051/itmconf/20193005001.

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The method to decision constructive synthesis of array antennas was conducted. The method usefull when antenna elements can be in discreste states (for example: active element, passive element, excluded item, active element with discrete nominal of output power e.t.c). The method is based on neural network approach. The structure of a neural network consist of a classifying neural network and several approximating neural networks is substantiated. Input signals correspond to phase centers of array antenna elements. Number of output signals in classifying part is equal to discrete status of ant

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30

Zhang, Peng, and Xiang Huan Meng. "New Approach for the Continuing Dynamic Programming." Advanced Materials Research 459 (January 2012): 575–78. http://dx.doi.org/10.4028/www.scientific.net/amr.459.575.

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The paper proposes the discrete approximate iteration method to solve single-dimensional continuing dynamic programming model. The paper also presents a comparison of the discrete approximate iteration method and bi- convergent method to solve multi-dimensional continuing dynamic programming model. The algorithm is the following: Firstly, let state value of one of state equations be unknown and the others be known. Secondly, use discrete approximate iteration method to find the optimal value of the unknown state values, continue iterating until all state equations have found optimal values. If

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31

Barton, P. M., and A. M. Tobias. "Discrete Quantity Approach to Continuous Simulation Modelling." Journal of the Operational Research Society 51, no. 4 (2000): 485. http://dx.doi.org/10.2307/254176.

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32

Sinuany-Stern, Zilla, and Abraham Mehrez. "Discrete Multiattribute Utility Approach to Project Selection." Journal of the Operational Research Society 38, no. 12 (1987): 1133. http://dx.doi.org/10.2307/2582750.

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33

Larkin, E. V., A. N. Privalov, and A. V. Bogomolov. "Discrete Approach to Simulating Synchronized Relay Races." Automatic Documentation and Mathematical Linguistics 54, no. 1 (2020): 43–51. http://dx.doi.org/10.3103/s0005105520010082.

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34

Bobenko, Alexander, and Felix Günther. "Discrete complex analysis – the medial graph approach." Actes des rencontres du CIRM 3, no. 1 (2013): 159–69. http://dx.doi.org/10.5802/acirm.65.

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35

Kucera, V. "Discrete linear control: The polynomial equation approach." IEEE Transactions on Systems, Man, and Cybernetics SMC-15, no. 4 (1985): 595–96. http://dx.doi.org/10.1109/tsmc.1985.6313430.

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36

Tsironis, G. P. "An algebraic approach to discrete breather construction." Journal of Physics A: Mathematical and General 35, no. 4 (2002): 951–57. http://dx.doi.org/10.1088/0305-4470/35/4/307.

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37

G. KULKARNI, ANANT, DR M. F. QURESHI, and DR MANOJ JHA. "Discrete Fourier Transform: Approach To Signal Processing." International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering 03, no. 10 (2014): 12341–48. http://dx.doi.org/10.15662/ijareeie.2014.0310005.

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38

Shukla, Ratnesh K., Vattipalli Sameera, Arvind Chaturvedi, and Indu Kapoor. "Videolaryngoscopy: A Discrete Approach to Awake Intubation!" Journal of Neuroanaesthesiology and Critical Care 06, no. 01 (2019): 048. http://dx.doi.org/10.1055/s-0038-1677643.

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39

Pokrovski, Vladimir N. "Extended thermodynamics in a discrete-system approach." European Journal of Physics 26, no. 5 (2005): 769–81. http://dx.doi.org/10.1088/0143-0807/26/5/009.

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40

Blanco, Philip R. "A discrete, energetic approach to rocket propulsion." Physics Education 54, no. 6 (2019): 065001. http://dx.doi.org/10.1088/1361-6552/ab315b.

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41

Danh Le, Ba, Georg Koval, and Cyrille Chazallon. "Discrete element approach in brittle fracture mechanics." Engineering Computations 30, no. 2 (2013): 263–76. http://dx.doi.org/10.1108/02644401311304881.

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42

Djerdir, A., P. Hiebel, E. Voisin, and J. M. Kauffmann. "Discrete approach for 3D magnetic field profiling." IEEE Transactions on Appiled Superconductivity 10, no. 1 (2000): 1360–63. http://dx.doi.org/10.1109/77.828490.

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43

Gugushvili, Shota, Ester Mariucci, and Frank Meulen. "Decompounding discrete distributions: A nonparametric Bayesian approach." Scandinavian Journal of Statistics 47, no. 2 (2019): 464–92. http://dx.doi.org/10.1111/sjos.12413.

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44

Mokni, Karima, Saber Elaydi, Mohamed CH-Chaoui, and Amina Eladdadi. "Discrete evolutionary population models: a new approach." Journal of Biological Dynamics 14, no. 1 (2020): 454–78. http://dx.doi.org/10.1080/17513758.2020.1772997.

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45

Sinuany-Stern, Zilla, and Abraham Mehrez. "Discrete Multiattribute Utility Approach to Project Selection." Journal of the Operational Research Society 38, no. 12 (1987): 1133–39. http://dx.doi.org/10.1057/jors.1987.194.

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46

Marchand-Maillet, Ste´phane. "Binary Digital Image Processing: A Discrete Approach." Journal of Electronic Imaging 10, no. 2 (2001): 576. http://dx.doi.org/10.1117/1.1326456.

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47

Joshi, N., A. Ramani, and B. Grammaticos. "A bilinear approach to discrete Miura transformations." Physics Letters A 249, no. 1-2 (1998): 59–62. http://dx.doi.org/10.1016/s0375-9601(98)00624-0.

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48

Barton, P. M., and A. M. Tobias. "Discrete quantity approach to continuous simulation modelling." Journal of the Operational Research Society 51, no. 4 (2000): 485–89. http://dx.doi.org/10.1057/palgrave.jors.2600880.

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49

Zhaoxia, Leng, Liu Qingfeng, Sun Jinkun, and Wang Huamin. "A Discrete Modeling Approach for Buck Converter." Physics Procedia 24 (2012): 710–16. http://dx.doi.org/10.1016/j.phpro.2012.02.105.

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50

Ben Boubaker, B., B. Haussy, and J. F. Ganghoffer. "Discrete models of woven structures. Macroscopic approach." Composites Part B: Engineering 38, no. 4 (2007): 498–505. http://dx.doi.org/10.1016/j.compositesb.2006.01.007.

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