Journal articles on the topic 'Determining sets'

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1

Laison, Joshua D., Erin M. McNicholas, and Nicole S. Seaders. "Base size sets and determining sets." Discrete Mathematics 342, no. 11 (November 2019): 2994–99. http://dx.doi.org/10.1016/j.disc.2019.06.001.

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2

Boutin, Debra L. "Determining Sets, Resolving Sets, and the Exchange Property." Graphs and Combinatorics 25, no. 6 (December 2009): 789–806. http://dx.doi.org/10.1007/s00373-010-0880-6.

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3

Cummins, Mark, Michael Dowling, and Francesco Esposito. "Determining risk model confidence sets." Finance Research Letters 22 (August 2017): 169–74. http://dx.doi.org/10.1016/j.frl.2017.02.005.

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4

Zalcman. "Determining Sets for Functions and Measures." Real Analysis Exchange 11, no. 1 (1985): 40. http://dx.doi.org/10.2307/44151726.

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5

Rubinstein, Aviad, Jacob Rubinstein, and Gershon Wolansky. "Determining Sets for the Discrete Laplacian." SIAM Review 49, no. 2 (January 2007): 315–24. http://dx.doi.org/10.1137/050645233.

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6

Fridman, B. L., K. T. Kim, S. G. Krantz, and D. Ma. "On Determining Sets for Holomorphic Automorphisms." Rocky Mountain Journal of Mathematics 36, no. 3 (June 2006): 947–55. http://dx.doi.org/10.1216/rmjm/1181069438.

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7

Luo, Ye. "Rank-determining sets of metric graphs." Journal of Combinatorial Theory, Series A 118, no. 6 (August 2011): 1775–93. http://dx.doi.org/10.1016/j.jcta.2011.03.002.

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8

Breen, Marilyn. "Determining starshaped sets and unions of starshaped sets by their sections." Journal of Geometry 28, no. 1 (February 1987): 80–85. http://dx.doi.org/10.1007/bf01225928.

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9

Alfeld, Peter. "Bivariate spline spaces and minimal determining sets." Journal of Computational and Applied Mathematics 119, no. 1-2 (July 2000): 13–27. http://dx.doi.org/10.1016/s0377-0427(00)00369-1.

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10

Isidro, José M., and Wilhelm Kaup. "Determining boundary sets of bounded symmetric domains." manuscripta mathematica 81, no. 1 (December 1993): 149–59. http://dx.doi.org/10.1007/bf02567851.

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11

Balaji, Vajresh, Olivia Edwards, Anne Marie Loftin, Solomon Mcharo, Lo Phillips, Alex Rice, and Bineyam Tsegaye. "Sets in ℝd determining k taxicab distances." Involve, a Journal of Mathematics 13, no. 3 (July 14, 2020): 487–509. http://dx.doi.org/10.2140/involve.2020.13.487.

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12

Ruth, Perrin E., and Manuel E. Lladser. "Levenshtein graphs: Resolvability, automorphisms & determining sets." Discrete Mathematics 346, no. 5 (May 2023): 113310. http://dx.doi.org/10.1016/j.disc.2022.113310.

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13

Pan, Junyao, and Xiuyun Guo. "The Full Automorphism Groups, Determining Sets and Resolving Sets of Coprime Graphs." Graphs and Combinatorics 35, no. 2 (February 2, 2019): 485–501. http://dx.doi.org/10.1007/s00373-019-02014-5.

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14

Charpin, Pascale, and Gohar M. Kyureghyan. "On sets determining the differential spectrum of mappings." International Journal of Information and Coding Theory 4, no. 2/3 (2017): 170. http://dx.doi.org/10.1504/ijicot.2017.083844.

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15

Charpin, Pascale, and Gohar M. Kyureghyan. "On sets determining the differential spectrum of mappings." International Journal of Information and Coding Theory 4, no. 2/3 (2017): 170. http://dx.doi.org/10.1504/ijicot.2017.10004710.

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16

Romanowska, Julia, Krzysztof S. Nowiński, and Joanna Trylska. "Determining Geometrically Stable Domains in Molecular Conformation Sets." Journal of Chemical Theory and Computation 8, no. 8 (August 2, 2012): 2588–99. http://dx.doi.org/10.1021/ct300206j.

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17

Rhodes, Carl, and Manfred Morari. "Determining Controllable Sets from a Time-Delay Description." IFAC Proceedings Volumes 29, no. 1 (June 1996): 5811–16. http://dx.doi.org/10.1016/s1474-6670(17)58610-3.

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18

Brenner, Hazel N., James S. Depret-Guillaume, Eyvindur A. Palsson, and Robert Stuckey. "Characterizing optimal point sets determining one distinct triangle." Involve, a Journal of Mathematics 13, no. 1 (February 4, 2020): 91–98. http://dx.doi.org/10.2140/involve.2020.13.91.

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19

Joubert, D., J. D. Stigter, and J. Molenaar. "Determining minimal output sets that ensure structural identifiability." PLOS ONE 13, no. 11 (November 12, 2018): e0207334. http://dx.doi.org/10.1371/journal.pone.0207334.

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20

Hall, Peter, and J. C. H. Wightwick. "Convergence determining sets in the central limit theorem." Probability Theory and Related Fields 71, no. 1 (January 1986): 1–17. http://dx.doi.org/10.1007/bf00366269.

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21

WANG, LINA, and JIANDONG WANG. "FEATURE WEIGHTING FUZZY CLUSTERING INTEGRATING ROUGH SETS AND SHADOWED SETS." International Journal of Pattern Recognition and Artificial Intelligence 26, no. 04 (June 2012): 1250010. http://dx.doi.org/10.1142/s0218001412500103.

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Associating features with weights is a common approach in clustering algorithms and determining the weight values is crucial in generating valid partitions. In this paper, we introduce a novel method in the framework of granular computing that incorporates fuzzy sets, rough sets and shadowed sets, and calculates feature weights automatically. Experiments on synthetic and real data patterns show that our algorithms always converge and are more effective in handling overlapping among clusters and more robust in the presence of noisy data and outliers.
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22

Fridman, B. L., K. T. Kim, S. G. Krantz, and D. Ma. "On fixed points and determining sets for holomorphic automorphisms." Michigan Mathematical Journal 50, no. 3 (2002): 507–16. http://dx.doi.org/10.1307/mmj/1039029980.

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23

Guadie, Maru, and Eugenia Malinnikova. "Stability and regularization for determining sets of discrete Laplacian." Inverse Problems 29, no. 7 (June 26, 2013): 075018. http://dx.doi.org/10.1088/0266-5611/29/7/075018.

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24

Valentim, A., M. G. E. da Luz, and Carlos E. Fiore. "Determining efficient temperature sets for the simulated tempering method." Computer Physics Communications 185, no. 7 (July 2014): 2046–55. http://dx.doi.org/10.1016/j.cpc.2014.04.010.

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25

Lewis, Mark L. "Determining Group Structure from Sets of Irreducible Character Degrees." Journal of Algebra 206, no. 1 (August 1998): 235–60. http://dx.doi.org/10.1006/jabr.1998.7435.

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26

Aziziheris, Kamal. "Determining group structure from the sets of character degrees." Journal of Algebra 323, no. 6 (March 2010): 1765–82. http://dx.doi.org/10.1016/j.jalgebra.2010.01.002.

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27

HOBBY, DAVID. "FINDING TYPE SETS IS NP-HARD." International Journal of Algebra and Computation 01, no. 04 (December 1991): 437–44. http://dx.doi.org/10.1142/s0218196791000304.

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It is shown that determining the type set of the variety generated by a finite algebra is a P-Space-hard problem. This is done by interpreting into it the P-Space-complete problem of determining if a given function is a composition of a set of unary functions on a set. Specifically, the given function is a composition of the others just when the type 3 is not in the type set of the variety generated by the algebra that is constructed. A lemma that restricts the types that are possible in the variety generated by a given algebra is also given.
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28

Farahani, Hamed, Sajjad Rahmany, and Abdolali Basiri. "Determining of Level Sets for a Fuzzy Surface Using Gröbner Basis." International Journal of Fuzzy System Applications 4, no. 2 (April 2015): 1–14. http://dx.doi.org/10.4018/ijfsa.2015040101.

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In this paper, a manner to determine the level sets of a fuzzy surface using the benefits of Gröbner basis is presented. Fuzzy surfaces are constructed from incomplete datasets or from data that contain uncertainty which has not statistical nature. The authors firstly define the concept of level sets for the fuzzy surfaces. Then, employing Gröbner bases benefits a criterion is proposed for when the level sets of the fuzzy surface are nonempty sets. Moreover, a new algorithm is designed to determine the level sets. The big advantage of the proposed method lies in the fact that it attains all members of the level sets of the fuzzy surface at a time. Finally, some applied numerical examples are illustrated to demonstrate the proficiency of the given approach.
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29

Janan, Tuhfatul, Pratiwi Dwi Warih Sitaresmi, and Nuryami Nuryami. "ANALISIS KESALAHAN MAHASISWA DALAM MENYELESAIKAN SOAL TEORI HIMPUNAN PADA MATA KULIAH HIMPUNAN DAN LOGIKA." JPMI (Jurnal Pembelajaran Matematika Inovatif) 5, no. 2 (March 19, 2022): 495. http://dx.doi.org/10.22460/jpmi.v5i2.10148.

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This research aims to describe some of the mistakes made by students in solving set theory problems in the set and logic course. The method used in this research is descriptive qualitative. The subjects in this study were students of Tadris Mathematics STAI Muhammadiyah Probolinggo Semester I for the academic year 2021/2022. Data collection techniques used in this study were exams and interviews. Based on the results of the study, it can be concluded that the subject made 9 types of errors, namely errors in determining the value of a quadratic equation, registering members of a set, writing mathematical notation, writing down sets, writing down members of Cartesian product, determining the intersection of two sets, determining the Cartesian product of two sets, determining the difference of the two sets, and determining the value of a quadratic inequality.
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30

Saprykina, Irina A., and Olga V. Zelentsova. "Identifying the Criteria for Determining Status Burials by Results of Integrated Analysis." MRS Proceedings 1374 (2012): 137–43. http://dx.doi.org/10.1557/opl.2012.1384.

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ABSTRACTChemical-technology investigation was carried out for 95 belt sets from the burials of 8th−11thcenturies. In its course three groups of burials were separated on the basis of archaeology-statistical features; the Group 3 was identified as status one. All the groups contain belt sets made from the cooper-based alloys which include silver (6.98−92.87%) and amalgam. The major scheme of the belt sets (Groups 1, 2, 3) production is casting in moulds with print of used plaques; there are belt sets in Groups 1 and 2 which were made in different way (lost wax casting, casting in moulds with print of special matrix, forging). Chemical and technology parameters of the belt sets from the elite burials of the Group 3 are similar to the parameters of the belt sets discovered in the common burials of the Groups 1 and 2. There are a number of burials in the Group 1 the belt sets of which according to their chemical-technology characteristics could be attributing to the “award”.
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31

Пронина, Ольга Игоревна, and Елена Евгеньевна Пятикоп. "Using fuzzy sets in determining the class of the car." Bulletin of National Technical University "KhPI". Series: System Analysis, Control and Information Technologies, no. 28 (September 7, 2017): 41–48. http://dx.doi.org/10.20998/2079-0023.2017.28.06.

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32

Adnan, Nada. "Automatic Determining Of Candidate Keys Sets Depending On Functional Dependency." Journal of Al-Rafidain University College For Sciences ( Print ISSN: 1681-6870 ,Online ISSN: 2790-2293 ), no. 2 (October 24, 2021): 183–202. http://dx.doi.org/10.55562/jrucs.v25i2.455.

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This paper presents a step in automatic database design, re-engineering and schema modification, design weak points detection, and normalization. This step represents determining the candidate keys of the tables automatically via proposing and implementing an algorithm which depends on the functional dependency and attribute set closure. Also, some techniques of Apriori algorithm of association rule mining are used to generate keys and minimize the keys space. The implementation is done by using Oracle PL/SQL to utilize the facilities provided by ORACLE DBMS and to give the features of embedded system to the proposed one.
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33

Wang, Liang, Christopher Leckie, Kotagiri Ramamohanarao, and James Bezdek. "Automatically Determining the Number of Clusters in Unlabeled Data Sets." IEEE Transactions on Knowledge and Data Engineering 21, no. 3 (March 2009): 335–50. http://dx.doi.org/10.1109/tkde.2008.158.

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34

Jiantao Cui, Xiaorun Li, and Liaoying Zhao. "Nonlinear Spectral Mixture Analysis by Determining Per-Pixel Endmember Sets." IEEE Geoscience and Remote Sensing Letters 11, no. 8 (August 2014): 1404–8. http://dx.doi.org/10.1109/lgrs.2013.2294181.

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35

Juang, C. H., X. H. Huang, R. D. Holtz, and J. W. Chen. "Determining Relative Density of Sands from CPT Using Fuzzy Sets." Journal of Geotechnical Engineering 122, no. 1 (January 1996): 1–6. http://dx.doi.org/10.1061/(asce)0733-9410(1996)122:1(1).

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36

Demos, G., and D. Sornette. "Comparing nested data sets and objectively determining financial bubbles’ inceptions." Physica A: Statistical Mechanics and its Applications 524 (June 2019): 661–75. http://dx.doi.org/10.1016/j.physa.2019.04.050.

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37

Akutsu, Tatsuya. "On determining the congruence of point sets in d dimensions." Computational Geometry 9, no. 4 (March 1998): 247–56. http://dx.doi.org/10.1016/s0925-7721(97)00010-2.

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38

Künzi, Hans-Peter, and Eliza Wajch. "An internal characterization of sets of functions determining minimal compactifications." Topology and its Applications 82, no. 1-3 (January 1998): 279–95. http://dx.doi.org/10.1016/s0166-8641(97)00051-5.

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39

LIEW, C. W., JOEL A. SHAPIRO, and D. E. SMITH. "DETERMINING THE DIMENSIONS OF VARIABLES IN PHYSICS ALGEBRAIC EQUATIONS." International Journal on Artificial Intelligence Tools 14, no. 01n02 (February 2005): 25–41. http://dx.doi.org/10.1142/s0218213005001977.

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This paper describes work on methods that evaluate algebraic solutions to word problems in physics. Many current tutoring systems rely on substantial scaffolding and consequently require students to completely describe every variable used in the solution. A heuristic, based on constraint propagation, capable of inferring the description of variables (i.e., the possible dimensions and physics concepts) is shown to be highly reliable on three real world data sets, one covering a few problems with a small number of student answers and two others covering a large class of problems (~100) with a large number of student answers (~11,000). The heuristic uniquely determines the dimensions of all the variables in 91–92% of the equation sets. By asking the student for dimension information about one variable, an additional 3% of the sets can be determined. An ITS tutoring system can use this heuristic to reason about a student's answers even when the scaffolding and context are removed.
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40

Simanihuruk, Tiarma, H. Hartono, Dahlan Abdullah, Cut Ita Erliana, Darmawan Napitupulu, Erianto Ongko, Robbi Rahim, Sukiman ., and Ansari Saleh Ahmar. "Hesitant Fuzzy Linguistic Term Sets with Fuzzy Grid Partition in Determining the Best Lecturer." International Journal of Engineering & Technology 7, no. 2.3 (March 8, 2018): 59. http://dx.doi.org/10.14419/ijet.v7i2.3.12322.

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Decision-making on conditions that involve many alternatives, many criteria, and many judgments is a difficult thing to do. The difficulty is coupled with assessors who sometimes make decisions in hesitant, unclear, and inconsistent circumstances and each person can provide different judgments. One of the methods that can be used is Hesitant Fuzzy Linguistic Term Sets which is the development of Fuzzy Sets that can make decisions by using Hesitant Fuzzy Sets. Hesitant linguistic term has been introduced for capturing the human way of reasoning using linguistic expressions involving different levels of precision. The integration of Hesitant Fuzzy Linguistic Term Sets with Fuzzy Grid Partition will enhance the ability in the decision making process. This research will discuss the use of Hesitant Fuzzy Linguistic Term Sets method and Fuzzy Grid Partition for best lecturers determination.
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41

Ferri, Stefano, Matthias Neufang, and Jan Pachl. "Minimal sets determining the topological centre of the algebra LUC(G)*." Bulletin of the London Mathematical Society 46, no. 5 (August 8, 2014): 1043–49. http://dx.doi.org/10.1112/blms/bdu051.

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42

Gordon, Kathleen E. "‘The market sets the price’: determining prices in a Bolivian marketplace." Journal of the Royal Anthropological Institute 16, no. 4 (November 3, 2010): 853–73. http://dx.doi.org/10.1111/j.1467-9655.2010.01657.x.

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43

Sampath Kini, K., and K. Karthik Pai. "Determining Frequent Item Sets using Partitioning Technique for Large Transaction Database." Indian Journal of Science and Technology 12, no. 3 (January 1, 2019): 1–4. http://dx.doi.org/10.17485/ijst/2019/v12i3/140766.

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44

Cochran, Gregory S., Thomas Wanner, and Paweł Dłotko. "A Randomized Subdivision Algorithm for Determining the Topology of Nodal Sets." SIAM Journal on Scientific Computing 35, no. 5 (January 2013): B1034—B1054. http://dx.doi.org/10.1137/120903154.

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45

Chueshov, I. D. "A remark on sets of determining elements for reaction-diffusion systems." Mathematical Notes 63, no. 5 (May 1998): 679–87. http://dx.doi.org/10.1007/bf02312850.

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46

Khrushchev, S. V. "Determining sets of frequencies in spectra of measures with finite energy." Journal of Soviet Mathematics 36, no. 3 (February 1987): 435–38. http://dx.doi.org/10.1007/bf01839620.

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47

Calude, Cristian, and Gabriel Istrate. "Determining and stationary sets for some classes of partial recursive functions." Theoretical Computer Science 82, no. 1 (May 1991): 151–55. http://dx.doi.org/10.1016/0304-3975(91)90178-5.

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48

Martini, Horst. "Determining classes of convex bodies by restricted sets of Steiner symmetrizations." Geometriae Dedicata 30, no. 3 (June 1989): 247–54. http://dx.doi.org/10.1007/bf00181340.

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49

Schwenke, David W. "A new paradigm for determining one electron basis sets: core–valence basis sets for C, N and O." Molecular Physics 108, no. 19-20 (October 10, 2010): 2751–58. http://dx.doi.org/10.1080/00268976.2010.523712.

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50

GIL-LAFUENTE, ANNA M., JAIME GIL-ALUJA, and LUCIANO BARCELLOS DE PAULA. "DETERMINING THE COMPOSITION OF A PORTFOLIO MANAGEMENT FROM A GROUPINGS MODEL." International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 21, no. 04 (August 2013): 561–78. http://dx.doi.org/10.1142/s021848851350027x.

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Often, in situations of uncertainty in portfolio management, it is difficult to apply the numerical methods based on the linearity principle. When this happens it is possible to use nonnumeric techniques to assess the situations with a non linear attitude. One of the concepts that can be used in these situations is the concept of grouping. In the last thirty years, several studies have tried to give good solutions to the problems of homogeneous groupings. For example, we could mention the Pichat algorithm, the affinities algorithms and several studies developed by the authors of this work. In this paper, we use some topological axioms in order to develop an algorithm that is able to reduce the number of elements of the power sets of the related sets by connecting them to the sets that form the topologies. We will apply this algorithm in the grouping of titles listed in the Stock Exchange or in its dual perspective.
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