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1

Prakash Mathur, Ravi. "Application of Vedic Mathematics in Computer Science." International Journal of Science and Research (IJSR) 13, no. 2 (2024): 990–93. http://dx.doi.org/10.21275/sr24206134323.

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2

Giza, Piotr. "CREATIVITY IN COMPUTER SCIENCE." Creativity Studies 14, no. 2 (2021): 444–60. http://dx.doi.org/10.3846/cs.2021.14699.

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The aim of this paper is to briefly explore creative thinking in computer science, and compare it to natural sciences, mathematics or engineering. It is also meant as polemics with some theses of the pioneer work under the same title by Daniel Saunders and Paul Thagard because I point to important motivations in computer science the authors do not mention, and give examples of the origins of problems they explicitly deny. Computer science is a very specific field for it relates the abstract, theoretical discipline – mathematics, on the one hand, and engineering, often concerned with very pract
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3

Bhadane, Mr Sandip, Mrs Megha Kishor Kothawade, Dr Mahendra D. Shinde, and Dr Vishal Sulakhe. "Applications of Mathematical in Computer Science." International Journal for Research in Applied Science and Engineering Technology 11, no. 1 (2023): 705–9. http://dx.doi.org/10.22214/ijraset.2023.48667.

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Abstract: Mathematics (The QUEEN’s mother of all Sciences), is the foundation of Computer Science. Mathematics can be perceived in our garden or park from symmetry of leaves, flowers, fruits etc. and by so many examples of Geometry and symmetry can be seen in nature. Scientists and researchers cannot ideally accomplish their work without the inclusion of mathematics. Mathematics is sociable for analytical skills needed in Computer Disciplines like; Concepts of binary number system, Boolean algebra, Calculus, Discrete mathematics, linear algebra, number theory, and graph theory are the most app
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4

Hamlet, D. "Science, Mathematics, Computer Science, Software Engineering." Computer Journal 55, no. 1 (2011): 99–110. http://dx.doi.org/10.1093/comjnl/bxr090.

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5

HØHOLDT, TOM. "Mathematics for Theoretical Computer Science." European Journal of Engineering Education 10, no. 3-4 (1985): 357–60. http://dx.doi.org/10.1080/03043798508939268.

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6

Henderson, Peter B., Paul De Palma, Vicki L. Almstrum, Orit Hazzan, and Kim Potter Kihlstrom. "Women, mathematics and computer science." ACM SIGCSE Bulletin 34, no. 1 (2002): 131–32. http://dx.doi.org/10.1145/563517.563389.

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7

Hamlet, Dick. "Mathematics, Computer Science, Software Engineering." Electronic Notes in Theoretical Computer Science 40 (March 2001): 186. http://dx.doi.org/10.1016/s1571-0661(05)80044-1.

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8

Churchhouse, R. F. "Computational mathematics and computer science." Education and Computing 8, no. 4 (1993): 331–37. http://dx.doi.org/10.1016/0167-9287(93)90423-x.

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9

Chernenko, Varvara. "THE FORMATION OF INFORMATICS COMPETENCY FOR FUTURE COMPUTER SCIENCE TEACHERS IN THE PROCESS OF STUDYING COMPUTER MATHEMATICS." Physical and Mathematical Education 30, no. 4 (2021): 6–12. http://dx.doi.org/10.31110/2413-1571-2021-030-4-001.

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Relevance and expediency of introduction of a training course of computer mathematics for students of “Secondary Education (Computer Science)” is caused by necessity of use of computer equipment with the corresponding software almost in all areas of human activity; the fact that computer mathematics is one of priority directions of research work both in the field of mathematical sciences, and in the field of computer science. Computer mathematics is a field of applied computer science in which problems of development, implementation and use of information technologies for solving mathematical
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10

Kadijevich, Djordje. "Gender Differences in Computer Attitude among Ninth-Grade Students." Journal of Educational Computing Research 22, no. 2 (2000): 145–54. http://dx.doi.org/10.2190/k4u2-pwqg-re8l-uv90.

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A study of fifty-four female and fifty-nine male Gymnasium (high school) students from four ninth-grade classes oriented toward natural sciences and mathematics surveyed students' attitudes toward computers in relation to gender and computer experience and found that males showed a more positive attitude toward computers than females, even when computer experience was controlled. An additional study of fifty-one females and fifty-four males from the initial sample found that males did show more interest in computer science than females, but these differences could not explain gender difference
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11

Oláh-Gál, Róbert, and Júlia Salamon. "The "Teaching Mathematics and Computer Science" Journal logo's mathematical background." Teaching Mathematics and Computer Science 3, no. 1 (2005): 55–65. http://dx.doi.org/10.5485/tmcs.2005.0077.

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12

Hall, J., Romualdas Skvarcuis, and William B. Robinson. "Discrete Mathematics with Computer Science Applications." Mathematical Gazette 75, no. 472 (1991): 233. http://dx.doi.org/10.2307/3620289.

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13

Haytock, Benjamin D., Zaven A. Karian, and Stanley E. Seltzer. "Teaching Computer Science Within Mathematics Departments." Computer Science Education 1, no. 3 (1990): 181–203. http://dx.doi.org/10.1080/0899340900010302.

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14

Piegl, L. "Discrete mathematics with computer science applications." Computer-Aided Design 18, no. 5 (1986): 291. http://dx.doi.org/10.1016/0010-4485(86)90310-6.

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15

KAWARABAYASHI, Ken-ichi, Kunihiko SADAKANE, and Takeaki UNO. "Theoretical computer science and discrete mathematics." Progress in Informatics, no. 9 (March 2012): 1. http://dx.doi.org/10.2201/niipi.2012.9.1.

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16

Gorbunova, Irina B. "Music, Mathematics and Computer Science: Features of Functioning of Computer-Musical Technologies." ICONI, no. 1 (2021): 137–47. http://dx.doi.org/10.33779/2658-4824.2021.1.137-147.

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The lecture “Music, Mathematics and Computer Science” is subdivided into two parts. The fi rst part, “Music, Mathematics and Computer Science: History of Interaction” (see ICONI journal, No. 3, 2020) examines the processes of interconnection and interpenetration of various fi elds of music, mathematics and computer science, spanning the period from Ancient Times to the turn of the 20th and 21st centuries. The second part of the lecture: “Music, Mathematics and Computer Science: Particular Features of Functioning of Computer-Musical Technologies” is devoted to examining various aspects of devel
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17

Iyamuremye, Aloys, and Ezechiel Nsabayezu. "Mathematics and Science Teacher’s Conception and Reflection on Computer Programming with Scratch: Technological and Pedagogical Standpoint." International Journal of Education, Training and Learning 6, no. 1 (2022): 11–16. http://dx.doi.org/10.33094/ijetl.v6i1.488.

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The current study investigates teachers' conception and reflection of computer programming from scratch in terms of technological and pedagogical standpoint. Mixed research approaches typically achievement tests and interviews were used to collect quantitative and qualitative data respectively. A total of twenty-one Mathematics and Science teachers were randomly selected to participate in the study. A paired t-test was used to analyze quantitative data from pre and post-test, while descriptive and interpretive analyses were used to analyze qualitative data from the interview. The results of th
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18

Fuchs, Karl. "On the Relationship between Mathematics- and Computer Science Education." Teaching Mathematics and Computer Science 22, no. 1 (2024): 15–34. http://dx.doi.org/10.5485/tmcs.2024.13412.

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In the first half of the paper, the profile of the two scientific disciplines of Mathematics Education and Computer Science Education is traced. In Mathematics Education, the description has been given in a short longitudinal section of its preying cornerstones since the beginning of the 1960s. In Computer Science Education, this is done through the description of an emancipatory science that has been taking place since the beginning of the 1990s. The second half of the contribution, with the discussion of the different perspectives of the two disciplines on the common topics of modeling and c
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19

Karamyshev, Anton N., and Zhanna I. Zaytseva. "“MATHEMATICA” IN TEACHING STUDENTS MATHEMATICS." Práxis Educacional 15, no. 36 (2019): 610. http://dx.doi.org/10.22481/praxisedu.v15i36.5937.

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 The relevance of the topic of the article is due to the process of modernization of higher mathematical education in Russia, which has led to a significant change in curricula and the need to look for ways and forms of training that would allow students to learn the necessary material within the time granted for studying, while obtaining the maximum necessary amount of skills, knowledge, and competencies. The objective of the article is to justify the ways and principles of the development and implementation of new pedagogical and information technologies in the edu
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20

Park, Woongbin, and Hyuksoo Kwon. "RESEARCH TRENDS AND ISSUES INCLUDING COMPUTATIONAL THINKING IN SCIENCE EDUCATION AND MATHEMATICS EDUCATION IN THE REPUBLIC OF KOREA." Journal of Baltic Science Education 21, no. 5 (2022): 875–87. http://dx.doi.org/10.33225/jbse/22.21.875.

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Software (SW) is one of the key technologies in modern society, and its importance is receiving the attention of the educational community. In addition, Computational Thinking (CT) has been studied in fields of various education such as computer science, science, mathematics, and technology. The prominence of computer science education has increased in K-12 South Korean schools with the effect of the 2015 Revised National Curriculum and the National Plan for Activating Software Education. In addition, there are active efforts to include CT in science, technology, and mathematics classrooms. Th
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21

Stein, David, Peter Ostrander, and G. Maie Lee. "Montgomery Blair Science, Mathematics and Computer Science Magnet Program." Gifted Child Today 39, no. 4 (2016): 209–19. http://dx.doi.org/10.1177/1076217516662496.

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22

Marion, William. "DISCRETE MATHEMATICS A MATHEMATICS COURSE OR A COMPUTER SCIENCE COURSE?" PRIMUS 1, no. 3 (1991): 314–24. http://dx.doi.org/10.1080/10511979108965624.

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23

Fenstad, Jens Erik. "Is mathematics still the science of paper, pencils and proofs?" European Review 6, no. 4 (1998): 425–32. http://dx.doi.org/10.1017/s1062798700003586.

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Mathematics, while a necessary part of information technology is remarkably conservative in its working habits. Much of the mathematics needed for the computer age is still produced by paper and pencil. There are some signs of change and this paper looks more closely at what is happening. The impact of the electronic age and computers on the science of mathematics and on the style and organization of mathematical research and publication is examined.
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24

Kao, Chia Hung. "Enriching Undergraduate Mathematics Curriculum with Computer Science Courses." International Journal of Engineering Pedagogy (iJEP) 11, no. 5 (2021): 37. http://dx.doi.org/10.3991/ijep.v11i5.21701.

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Traditional mathematics curriculum faces several issues nowadays. The gap between course materials and students’ real-life mathematical experiences, the scattering of knowledge in different courses, and the lack of mathematics applications to other subjects all hinder the learning of students. The emerg-ing trends in data science, machine learning, and artificial intelligence also impel higher education to enrich and refine mathematics education. In order to better incubate students for future, the experience of enriching undergrad-uate mathematics curriculum with computer science courses is i
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25

Kao, Chia Hung. "Enriching Undergraduate Mathematics Curriculum with Computer Science Courses." International Journal of Engineering Pedagogy (iJEP) 11, no. 5 (2021): 37. http://dx.doi.org/10.3991/ijep.v11i5.21701.

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Traditional mathematics curriculum faces several issues nowadays. The gap between course materials and students’ real-life mathematical experiences, the scattering of knowledge in different courses, and the lack of mathematics applications to other subjects all hinder the learning of students. The emerg-ing trends in data science, machine learning, and artificial intelligence also impel higher education to enrich and refine mathematics education. In order to better incubate students for future, the experience of enriching undergrad-uate mathematics curriculum with computer science courses is i
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26

Chubarikov, Vladimir Nikolaevich, Nikolai Nikolaevich Dobrovol’skii, Irina Yurievna Rebrova, and Nikolai Mihailovich Dobrovol’skii. "Computer science, computer, computational complexity." Chebyshevskii sbornik 22, no. 1 (2021): 520–36. http://dx.doi.org/10.22405/2226-8383-2021-22-1-520-536.

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27

Bender, Edward A., Ronald Lewis Graham, Donald Ervin Knuth, and Oren Patashnik. "Concrete Mathematics: A Foundation for Computer Science." American Mathematical Monthly 98, no. 8 (1991): 779. http://dx.doi.org/10.2307/2324448.

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28

Jelliss, G. P., Ronald L. Graham, Donald E. Knuth, and Oren Patashnik. "Concrete Mathematics, a Foundation for Computer Science." Mathematical Gazette 75, no. 471 (1991): 117. http://dx.doi.org/10.2307/3619021.

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29

Manokhin, Evgeny Viktorovich, Gennadiy Vasilievich Kuznetsov, Sergey Vladimirovich Gorodnichev, Roman Aleksandrovich Zhukov, and Nadezhda Olegovna Kozlova. "From chair history «Mathematics and computer science»." Chebyshevskii sbornik 22, no. 5 (2021): 315–27. http://dx.doi.org/10.22405/2226-8383-2021-22-5-315-327.

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30

Faust, Don. "What is mathematics? Another example: computer science." International Journal of Mathematical Education in Science and Technology 20, no. 2 (1989): 307–15. http://dx.doi.org/10.1080/0020739890200211.

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31

Hunter, David, and Janusz Kowalik. "The Applied Mathematics and Computer Science Schism." College Mathematics Journal 37, no. 5 (2006): 404. http://dx.doi.org/10.2307/27646405.

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32

Graham, Ronald L., Donald E. Knuth, Oren Patashnik, and Stanley Liu. "Concrete Mathematics: A Foundation for Computer Science." Computers in Physics 3, no. 5 (1989): 106. http://dx.doi.org/10.1063/1.4822863.

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33

Wells, Charles. "Communicating Mathematics: Useful Ideas from Computer Science." American Mathematical Monthly 102, no. 5 (1995): 397. http://dx.doi.org/10.2307/2975030.

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34

Coonce, Harry B. "Computer science and the mathematics genealogy project." ACM SIGACT News 35, no. 4 (2004): 117. http://dx.doi.org/10.1145/1054916.1054918.

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35

Robert, Christian. "The Beauty of Mathematics in Computer Science." CHANCE 32, no. 2 (2019): 47–48. http://dx.doi.org/10.1080/09332480.2019.1606598.

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36

Varma, Roli. "Indian Women and Mathematics for Computer Science." IEEE Technology and Society Magazine 30, no. 1 (2011): 39–46. http://dx.doi.org/10.1109/mts.2011.940294.

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37

Shanmugam, Ramalingam. "The beauty of mathematics in computer science." Journal of Statistical Computation and Simulation 89, no. 13 (2019): 2594. http://dx.doi.org/10.1080/00949655.2019.1589118.

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38

Wells, Charles. "Communicating Mathematics: Useful Ideas from Computer Science." American Mathematical Monthly 102, no. 5 (1995): 397–408. http://dx.doi.org/10.1080/00029890.1995.12004592.

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39

Baldwin, Douglas, Henry M. Walker, and Peter B. Henderson. "The roles of mathematics in computer science." ACM Inroads 4, no. 4 (2013): 74–80. http://dx.doi.org/10.1145/2537753.2537777.

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40

Kowalik, J. "The Applied Mathematics and Computer Science Schism." Computer 39, no. 3 (2006): 104–3. http://dx.doi.org/10.1109/mc.2006.106.

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41

Kotsireas, Ilias S. "Mathematics in Computer Science: After 10 Years." Mathematics in Computer Science 11, no. 1 (2017): 1–6. http://dx.doi.org/10.1007/s11786-017-0312-6.

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42

Gorbunova, Irina B., and Mikhail S. Zalivadny. "Music, Mathematics and Computer Science: History of Interaction." ICONI, no. 3 (2020): 137–50. http://dx.doi.org/10.33779/2658-4824.2020.3.137-150.

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The lecture “Music, Mathematics and Computer Science” characterizes by concrete examples various aspects of interaction of these studies with each other by incorporating the apparatus of corresponding scholarly disciplines (set theory, probability theory, information science, group theory, etc.). The role and meaning of these aspects in the formation of an integral perception about music and in the realization of practical creative musical goals are educed. Examination of these questions is what the lecture studies are devoted to as part of the educational courses “Mathematical Methods of Rese
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43

Thambithurai, Sritharan. "Impact of Mathematics on the Theoretical Computer Science Course Units in the General Degree Program in Computer Science at Sri Lankan State Universities." Issues in Informing Science and Information Technology 15 (2018): 001–14. http://dx.doi.org/10.28945/4007.

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Aim/Purpose: The purpose of this study is to identify how Advanced level Mathematics and Mathematics course units offered at university level do impact on the academic performance of theoretical Computer Science course units. Background: In Sri Lankan state universities, students have been enrolled only from the Physical Science stream to do a degree program in Computer Science. In addition to that, universities have been offering some course units in Mathematics to provide the required mathematical maturity to Computer Science undergraduates. Despite of this it is observed that the failure ra
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44

Semenikhina, Olena, Volodymyr Proshkin, and Olha Naboka. "Application of Computer Mathematical Tools in University Training of Computer Science and Mathematics Pre-service Teachers." International Journal of Research in E-learning 6, no. 2 (2020): 1–23. http://dx.doi.org/10.31261/ijrel.2020.6.2.06.

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The requirements for the training of mathematics and computer science teachers to use specialized mathematical software in professional activities are substantiated in the article. Among them: the ability to creatively choose the forms and methods of teaching for the use of specialized software; ability to find non-standard or creative mathematical problems; ability to make an informed choice of specialized software; ability to see possible ways to check the result obtained by the pupil; the ability to eliminate common mistakes when pupils use computer tools, etc. The specialized mathematical
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45

Prokhorov, S. P. "THE FUNDAMENTAL CONTRIBUTION OF THE ACADEMY OF SCIENCES TO THE DEVELOPMENT OF RUSSIAN COMPUTER SCIENCE AND COMPUTER TECHNOLOGY." Вестник Российской академии наук 93, no. 10 (2023): 980–88. http://dx.doi.org/10.31857/s0869587323100092.

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The history of the creation of the first Soviet universal electronic computers is an excellent example of the ability and readiness of the Academy of Sciences to be a leader in the creation and development of new areas of science and technology. All work, starting with the design of computers and ending with the stage of creating computers and software, was carried out at the institutes of the Academy of Sciences. On December 4, 1948, I.S. Brook and B.I. Rameev received a copyright certificate for the invention of an automatic digital machine. It was the first official document indicating the
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46

Khalimsky, Efim. "Topological structures in computer science." Journal of Applied Mathematics and Simulation 1, no. 1 (1987): 25–40. http://dx.doi.org/10.1155/s1048953388000036.

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Topologies of finite spaces and spaces with countably many points are investigated. It is proven, using the theory of ordered topological spaces, that any topology in connected ordered spaces, with finitely many points or in spaces similar to the set of all integers, is an interval-alternating topology. Integer and digital lines, arcs, and curves are considered. Topology of N-dimensional digital spaces is described. A digital analog of the intermediate value theorem is proven. The equivalence of connectedness and pathconnectedness in digital and integer spaces is also proven. It is shown here
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47

Turskienė, Sigita. "Kompiuterinių matematikos sistemų programavimo kalbų lyginamoji analizė." Lietuvos matematikos rinkinys 44 (December 17, 2004): 377–82. http://dx.doi.org/10.15388/lmr.2004.31946.

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The paper analyses possibilities of programming languages of computer mathematics systems. The sum­mary table of operations of 5 programming languages is presented. The advantages and disadvantages between programming languages of computer mathematics systems (MAPLE, MATHEMATICA, MAT­LAB) and professional programming languages (C/C++, PASCAL) are presented, too. That makes easier the application of computer mathematics systems in practice.
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48

Kuznetsova, Irina V., Galina Yu Burakova, Tatiana L. Troshina, and Anna W. Gollay. "Interdisciplinary integration in teaching Mathematics as a means of forming pupils' mathematical literacy." Vestnik of Kostroma State University. Series: Pedagogy. Psychology. Sociokinetics 28, no. 3 (2023): 45–50. http://dx.doi.org/10.34216/2073-1426-2022-28-3-45-50.

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This article discusses the problem of implementing interdisciplinary connections between a school course in Mathematics and other natural science disciplines at a secondary school as topical means of developing functional literacy among pupils. The mechanisms of interdisciplinary connection of Mathematics with other disciplines are listed. As a means of interdisciplinary communication of Mathematics with other disciplines, there can be the interaction of pupils in the information educational environment to search for new knowledge, to identify properties of a generalised character, to solve pr
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49

A.N., Khimich, Chistyakova T.V., Sydoruk V.A., and Yershov P.S. "Intellectual computer mathematics system inparsolver." Artificial Intelligence 25, no. 4 (2020): 60–71. http://dx.doi.org/10.15407/jai2020.04.060.

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The paper considers the intellectual computer mathematics system InparSolver, which is designed to automatically explore and solve basic classes of computational mathematics problems on multi-core computers with graphics accelerators. The problems of results reliability of solving problems with approximate input data are outlined. The features of the use of existing computer mathematics systems are analyzed, their weaknesses are found. The functionality of InparSolver, some innovative approaches to the implementation of effective solutions to problems in a hybrid architecture are described. Ex
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50

Paul, Prantosh Kr, Dipak Chaterjee, and K. S. Shivraj. "Mathematical Science and its Application in Information Centres, Systems and Allied Organization." Asian Journal of Science and Applied Technology 1, no. 2 (2012): 20–23. http://dx.doi.org/10.51983/ajsat-2012.1.2.735.

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Mathematics is one of the important areas of Pure Science. It is one of the oldest knowledge field proved useful in most of the industries, business, services and so on. Mathematics as well as statistics is also applicable in many subjects. Education, Computer Science, Environment Science, Biological Sciences and even humanities also need the assistance of mathematics immensely. Information Science is one the important subjects today responsible for information collection, organization as well as dissemination. The working area of Information Science is information centre, documentation centre
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