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Journal articles on the topic 'Applied mathematics|Mathematics|Computer science'

Author: Grafiati

Published: 4 June 2021

Last updated: 4 February 2022

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1

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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2

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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3

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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4

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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5

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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6

Gram, Chr. "Computer science: A challenge to mathematics, or vice‐versa?" International Journal of Mathematical Education in Science and Technology 17, no. 5 (1986): 535–47. http://dx.doi.org/10.1080/0020739860170502.

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7

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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8

Dori, Yehudit Judy, Zehavit Kohen, and Brian Rizowy. "Mathematics for Computer Science: A Flipped Classroom with an Optional Project." Eurasia Journal of Mathematics, Science and Technology Education 16, no. 12 (2020): em1915. http://dx.doi.org/10.29333/ejmste/9149.

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9

Wester, Michael. "Mathematics: A System for Doing Mathematics by Computer, Second Edition (Stephen Wolfram)." SIAM Review 34, no. 3 (1992): 519–22. http://dx.doi.org/10.1137/1034112.

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10

Kornilov, Viktor S. "Integration of natural science and humanities knowledge in the teaching of applied mathematics to students in the conditions of informatization of education." RUDN Journal of Informatization in Education 17, no. 3 (2020): 229–36. http://dx.doi.org/10.22363/2312-8631-2020-17-3-229-236.

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Problem and goal. The success of a variety of applied research based on achievements in applied mathematics presupposes the existence of highly qualified professionals with not only fundamental knowledge in applied mathematics, but applied mathematical thinking and the world of information, able to apply environmental technologies in applied research, to formulate and justify inferences about the results of the study. Such specialists in applied mathematics are able to identify and understand the new information obtained as a result of research in terms of its scientific and humanitarian value

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11

Morris, Joseph M. "The impact of computer science on mathematics in the engineering curriculum." International Journal of Mathematical Education in Science and Technology 16, no. 3 (1985): 437–43. http://dx.doi.org/10.1080/0020739850160313.

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12

Lukovs’kyi, I. O., V. L. Makarov, and M. Z. Prokhur. "International Conference “INAMTAP’96 (Computer Science, Computational and Applied Mathematics: Theory, Application, and Prospects)”." Ukrainian Mathematical Journal 49, no. 4 (1997): 678–79. http://dx.doi.org/10.1007/bf02487333.

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13

Kowalski, Piotr, Szymon Łukasik, and Piotr Kulczycki. "Preface to Special Issue on Contemporary Problems of Computer Science, Physics and Applied Mathematics." Journal of Automation, Mobile Robotics and Intelligent Systems 13, no. 3 (2019): 39–40. http://dx.doi.org/10.14313/jamris/3-2019/25.

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14

Zhang, Yue, and Qiu Wang. "Content learning opportunities, computer-based instruction, and students’ mathematics and science achievement." International Journal of Mathematical Education in Science and Technology 51, no. 8 (2020): 1164–80. http://dx.doi.org/10.1080/0020739x.2020.1717659.

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15

Lu, Qi-Shao. "Preface Computer mathematics in dynamics and control." International Journal of Computer Mathematics 85, no. 6 (2008): 851–52. http://dx.doi.org/10.1080/00207160802210800.

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16

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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17

Ninness, Chris, Robin Rumph, Glen McCuller, Carol Harrison, Angela M. Ford, and Sharon K. Ninness. "A FUNCTIONAL ANALYTIC APPROACH TO COMPUTER-INTERACTIVE MATHEMATICS." Journal of Applied Behavior Analysis 38, no. 1 (2005): 1–22. http://dx.doi.org/10.1901/jaba.2005.2-04.

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18

Arnoux, Pierre, and Alain Finkel. "Using mental imagery processes for teaching and research in mathematics and computer science." International Journal of Mathematical Education in Science and Technology 41, no. 2 (2010): 229–42. http://dx.doi.org/10.1080/00207390903372429.

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19

Spence, Dianna J., and Ellen L. Usher. "Engagement with Mathematics Courseware in Traditional and Online Remedial Learning Environments: Relationship to Self-Efficacy and Achievement." Journal of Educational Computing Research 37, no. 3 (2007): 267–88. http://dx.doi.org/10.2190/ec.37.3.c.

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This research applied Bandura's (1986) social cognitive theory to examine engagement with courseware in traditional and online remedial mathematics learning environments. The study investigated the relationship of courseware engagement to age, computer self-efficacy, computer playfulness, and self-efficacy for self-regulated mathematics learning. The study also analyzed mathematics achievement in terms of engagement, age, gender, mathematics grade self-efficacy, and self-efficacy for self regulated mathematics learning. Participants were 88 students in a traditional environment and 76 students

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20

Abiad, Fouad. "Mathematical Modeling of the Strategy of the Early Islamic Wars." International Journal of Social Science Research and Review 3, no. 1 (2020): 1–14. http://dx.doi.org/10.47814/ijssrr.v3i1.29.

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A mathematical model is a description of a system using mathematical concepts and language. The process of developing a mathematical model is termed mathematical modeling. Mathematical models are used in the natural sciences (such as physics, biology, earth science, chemistry) and engineering disciplines (such as computer science, electrical engineering), as well as in the social sciences (such as economics, psychology, sociology, political science).The main activities involved in this procedure are observation followed by mathematical modeling; simulation, analysis, optimization and back to o

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21

Weinert, Hanns J. "Book Review: The theory of semirings \RM (with applications in mathematics and theoretical computer science\/\RM )." Bulletin of the American Mathematical Society 30, no. 2 (1994): 313–16. http://dx.doi.org/10.1090/s0273-0979-1994-00476-8.

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22

Marzocchi, Alison S. "Using the Tower of Hanoi puzzle to infuse your mathematics classroom with computer science concepts." International Journal of Mathematical Education in Science and Technology 47, no. 5 (2016): 814–21. http://dx.doi.org/10.1080/0020739x.2015.1133855.

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23

Dong, Wen, Shi Qiao, Jia Li Mao, and Miao Yue. "The High Performance Computing of Inversion Algorithms." Advanced Materials Research 791-793 (September 2013): 1145–48. http://dx.doi.org/10.4028/www.scientific.net/amr.791-793.1145.

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The inverse problem is an important interdisciplinary subject, which receives more and more attention in the fields of mathematics, computer science, information science and other applied natural sciences in recent years. Nowadays, the inverse problem is more and more commonly applied than before, e.g., in image processing and geophysics. This trend promotes the development of both the advanced computing methods and high performance computing techniques. The high performance of computing problems for inverse algorithms is discussed in this paper, which is meaningful for the research of applied

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24

Sergienko, I. V., V. K. Zadiraka, M. D. Babich, A. I. Berezovskii, P. N. Besarab, and V. A. Lyudvichenko. "Computer-based techniques for solving problems of applied and computational mathematics with given quality characteristics." Cybernetics and Systems Analysis 42, no. 5 (2006): 641–48. http://dx.doi.org/10.1007/s10559-006-0101-8.

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25

Liisa Eriksson, Sirkka, Pentti Haukkanen, Terttu I. Hukka, and Helge Lemmetyinen. "Tampereen matemaattisten aineiden aineenopettajakoulutus." Lumat: International Journal of Math, Science and Technology Education 3, no. 6 (2015): 800–807. http://dx.doi.org/10.31129/lumat.v3i6.999.

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We present how the education of subject teachers is organized in mathematics, science and computer science in Tampere. It is based on the idea that both engineering students and students from mathematics and science may choose to become a subject teacher. Students are accepted either to the master’s degree program in Science and Engineering of Tampere University of Technology or the master’s program of Mathematics and Statistics of University of Tampere. Students from different universities are giving opportunities to learn from each other. They study physics and chemistry in Tampere Universit

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26

Chuchalin, A. I. "Adaptation of the Core CDIO Standards 3.0 to STEM Higher Education." Vysshee Obrazovanie v Rossii = Higher Education in Russia 30, no. 2 (2021): 9–21. http://dx.doi.org/10.31992/0869-3617-2021-30-2-9-21.

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It is proposed to adapt the new version of the internationally recognized standards for engineering education the Core CDIO Standards 3.0 to the programs of basic higher education in the field of technology, natural and applied sciences, as well as mathematics and computer science in the context of the evolution of STEM. The adaptation of the CDIO standards to STEM higher education creates incentives and contributes to the systematic training of specialists of different professions for coordinated teamwork in the development of high-tech products, as well as in the provision of comprehensive S

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27

Lozano, Carmen, and Enriqueta Mancilla-Rendón. "Fuzzy Set Theory Applied to Accounting Sciences." New Mathematics and Natural Computation 16, no. 01 (2020): 1–16. http://dx.doi.org/10.1142/s1793005720500015.

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Fuzzy set theory and fuzzy logic have been successfully developed in engineering and mathematics. However, these concepts have found great acceptance in social sciences in recent years since they provide an answer to those problems in the real world that cannot be modeled using classical mathematics. In this paper, we propose a new methodology for accounting science based on fuzzy triangular numbers. The methodology uses Hamming distance between fuzzy triangular numbers and arithmetic operations to evaluate corporate governance of multinational public stock corporations (PSCs) in the telecommu

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28

Kalaw, Maria Theresa B. "Tracer study of Bachelor of Science in Mathematics." International Journal of Evaluation and Research in Education (IJERE) 8, no. 3 (2019): 537. http://dx.doi.org/10.11591/ijere.v8i3.17434.

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This research aimed to determine the employability of its graduates as well as the strengths and weaknesses of the Bachelor of Science in Mathematics (BSM) program of a Philippine Higher Educational Institution. Adapting the Commission on Higher Education (CHED) Graduate Tracer Survey Questionnaire, the study provided data that were used as basis in the review and revision of the said program. Results of this research may be used to answer the needs of society by adjusting the curriculum to meet the needs of the 21<sup>st</sup> century learners, help prepare the students not only f

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29

Graovac, Ante. "Seventh International Conference on the Interfaces Between Mathematics, Chemistry and Computer Science (MATH/CHEM/COMP '92)." Computers & Chemistry 16, no. 4 (1992): 337. http://dx.doi.org/10.1016/0097-8485(92)80055-5.

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30

Ames, W. F. "Numerical analysis for applied mathematics, science and engineering." Mathematics and Computers in Simulation 30, no. 4 (1988): 373. http://dx.doi.org/10.1016/s0378-4754(98)90011-8.

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31

Brovka, N. V. "Didactic features of the organization of computer means of teaching students of mathematical specialties." Informatics and education 1, no. 1 (2020): 34–41. http://dx.doi.org/10.32517/0234-0453-2020-35-1-34-41.

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The article is devoted to the description of didactic approaches that allow to integrate the theory and practice of teaching students of mathematical specialties by updating informative intra- and interdisciplinary connections of mathematical disciplines and informatics.Methods for implementing cognitive visualization taking into account the specifics of mathematics and computer science are given. The interpretation of interdisciplinary connections (as a category of teaching didactics) and visual modeling in relation to teaching mathematics are also clarified.The article describes a variant of

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32

Dong, Wen, and Tao Sun. "Comparison of Tikhonov Regularization and Adaptive Regularization for III-Posed Problems." Applied Mechanics and Materials 380-384 (August 2013): 1193–96. http://dx.doi.org/10.4028/www.scientific.net/amm.380-384.1193.

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nverse problems are important interdisciplinary subject, which receive more and more attention in recent years in the areas of mathematics, computer science, information science and other applied natural sciences. There is close relationship between inverse problems and ill-posedness. Regularization is an important strategy when computing the ill-posed problems to maintain the stability of the computation.This paper compares a new regularization method,which is called Adaptive regularization, with the traditional Tikhonov regularization method. The conclusion that Adaptive regularization metho

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33

Finkel, Daniel E., Christopher Kuster, Matthew Lasater, Rachel Levy, Jill P. Reese, and Ilse C. F. Ipsen. "Communicating Applied Mathematics: Four Examples." SIAM Review 48, no. 2 (2006): 359–89. http://dx.doi.org/10.1137/s0036144504443523.

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34

Concolato, Claude E., and Li M. Chen. "Data Science: A New Paradigm in the Age of Big-Data Science and Analytics." New Mathematics and Natural Computation 13, no. 02 (2017): 119–43. http://dx.doi.org/10.1142/s1793005717400038.

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As an emergent field of inquiry, Data Science serves both the information technology world and the applied sciences. Data Science is a known term that tends to be synonymous with the term Big-Data; however, Data Science is the application of solutions found through mathematical and computational research while Big-Data Science describes problems concerning the analysis of data with respect to volume, variation, and velocity (3V). Even though there is not much developed in theory from a scientific perspective for Data Science, there is still great opportunity for tremendous growth. Data Science

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35

Armoni, Michal, Judith Gal-Ezer, and Dina Tirosh. "Solving Problems Reductively." Journal of Educational Computing Research 32, no. 2 (2005): 113–29. http://dx.doi.org/10.2190/6pcm-447v-wf7b-qeuf.

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Solving problems by reduction is an important issue in mathematics and science education in general (both in high school and in college or university) and particularly in computer science education. Developing reductive thinking patterns is an important goal in any scientific discipline, yet reduction is not an easy subject to cope with. Still, the use of reduction usually is insufficiently reflected in high school mathematics and science programs. Even in academic computer science programs the concept of reduction is mentioned explicitly only in advanced academic courses such as computability

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36

Gardiner, Tony. "Nature-nurture: finding-feeding." Mathematical Gazette 102, no. 555 (2018): 485–93. http://dx.doi.org/10.1017/mag.2018.115.

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Mathematicians know that the path from adolescent competence to adult professional life is full of unexpected twists and turns, and is fraught with potential pitfalls. Even when faced with very able adolescents, it is not at all clear which of them will flourish in the long run, or how one can best support their future development (when they eventually become young adults) in a way that takes their mathematical ability and inclinations seriously – whether in pure or applied mathematics, in computer science or software development, in engineering, mathematical biology, financial mathematics or

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37

Stepien, Tracy L., Eric J. Kostelich, and Yang Kuang. "Mathematics + Cancer: An Undergraduate "Bridge" Course in Applied Mathematics." SIAM Review 62, no. 1 (2020): 244–63. http://dx.doi.org/10.1137/18m1191865.

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38

Nazaruk, Mykola. "Solid and strong personality of Professor Georgiy Bachynski." Visnyk of the Lviv University. Series Geography, no. 49 (December 30, 2015): 246–52. http://dx.doi.org/10.30970/vgg.2015.49.8638.

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The article deals with the biography and scientific achievements of doctor of geographical sciences, geologist, paleontologist, geographer, cartographer, social ecologist Professor G. Bachynski. In particular, considerable attention is paid to his role in the development of speleology in Ukraine. The activities of G. Bachynski on the head of palaeozoological department of the Complex karst expedition of the Academy of Sciences of the Ukrainian SSR were described. His work allowed identifying karst type of localization of the vertebrates. A separate paragraph is devoted to the period of Profess

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39

Vigo-Aguiar, Jesús, and Bruce A. Wade. "Recent advances in computational and applied mathematics in science and engineering." International Journal of Computer Mathematics 86, no. 2 (2009): 199. http://dx.doi.org/10.1080/00207160802496185.

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40

Henrici, Peter. "Introduction to Applied Mathematics (Gilbert Strang)." SIAM Review 28, no. 4 (1986): 590–92. http://dx.doi.org/10.1137/1028182.

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41

Zhao, Weijie. "Blockchain technology: development and prospects." National Science Review 6, no. 2 (2018): 369–73. http://dx.doi.org/10.1093/nsr/nwy133.

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Abstract It has been more than 10 years since Satoshi Nakamoto published his famous paper entitled ‘Bitcoin: a peer-to-peer electronic cash system’, which set the foundation of blockchain technology. Accompanied by the price volatility of bitcoins from 2017 to 2018, blockchain has been a hot word on the internet, and particularly hot in China. Blockchain offers a distributed and secure system for data storage and value transactions. Its applications are springing up in multiple fields. The Chinese government is considering these trends with great caution. Initial coin offering has been banned

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42

Manjula, V. "Graph Applications to Data Structures." Advanced Materials Research 433-440 (January 2012): 3297–301. http://dx.doi.org/10.4028/www.scientific.net/amr.433-440.3297.

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This paper presents a topic on Graph theory and its application to data Structures which I consider basic and useful to students in APPLIED MATHEMATICS and ENGINEERING.This paper gives an elementary introduction of Graph theory and its application to data structures. Elements of Graph theory are indispensable in almost all computer Science areas .It can be used in Some areas such as syntactic analysis, fault detection, diagnosis in computers and minimal path problems. The computer representation and manipulation of graph are also discussed so that certain algorithms can be included .A major th

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43

W.F.A. "Applied and industrial mathematics." Mathematics and Computers in Simulation 33, no. 2 (1991): 182–83. http://dx.doi.org/10.1016/0378-4754(91)90183-4.

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44

Hu, Jiming, and Yin Zhang. "Measuring the interdisciplinarity of Big Data research: a longitudinal study." Online Information Review 42, no. 5 (2018): 681–96. http://dx.doi.org/10.1108/oir-12-2016-0361.

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Purpose The purpose of this paper is to measure the degree of interdisciplinary collaboration in Big Data research based on the co-occurrences of subject categories using Stirling’s diversity index and specialization index. Design/methodology/approach Interdisciplinarity was measured utilizing the descriptive statistics of disciplines, network indicators showing relationships between disciplines and within individual disciplines, interdisciplinary communities, Stirling’s diversity index and specialization index, and a strategic diagram revealing the development status and trends of discipline

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45

S. Al-Khalifa, Hend. "Scientometric assessment of Saudi publication productivity in computer science in the period of 1978-2012." International Journal of Web Information Systems 10, no. 2 (2014): 194–208. http://dx.doi.org/10.1108/ijwis-01-2014-0001.

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Purpose – This study aims to analyze Saudi scientific output in the field of computer science in Web of Science database, covering the years 1978 through 2012. Design/methodology/approach – The study involved analyzing 998 publications in terms of the publication count and its growth, citation, share of international collaboration, research areas and researchers’ productivity. Findings – The results show that the number of papers produced in computer science field has only increased after year 2007; this is because Saudi universities have applied a catch-up strategy to increase its research ou

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46

Vigo-Aguiar, Jesús, and Bruce A. Wade. "Preface Recent advances in computational and applied mathematics in science and engineering." International Journal of Computer Mathematics 85, no. 3-4 (2008): 307. http://dx.doi.org/10.1080/00207160802018575.

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47

Maass, Wolfgang. "Martin D. Davis and Elaine J. Weyuker. Comparability, complexity, and languages. Fundamentals of theoretical computer science. Computer science and applied mathematics. Academic Press, New York etc. 1983, xix + 425 pp." Journal of Symbolic Logic 52, no. 1 (1987): 293–94. http://dx.doi.org/10.2307/2273891.

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48

Wightman, A. S. "Studies in Applied Mathematics (Victor Guillemin, ed.)." SIAM Review 27, no. 1 (1985): 127–28. http://dx.doi.org/10.1137/1027048.

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49

Lax, Peter D. "The Flowering of Applied Mathematics in America." SIAM Review 31, no. 4 (1989): 533–41. http://dx.doi.org/10.1137/1031123.

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50

Klavzar, Sandi, and Sara Zemljic. "On distances in Sierpiński graphs: Almost-extreme vertices and metric dimension." Applicable Analysis and Discrete Mathematics 7, no. 1 (2013): 72–82. http://dx.doi.org/10.2298/aadm130109001k.

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Sierpi?ski graphs Sn p form an extensively studied family of graphs of fractal nature applicable in topology, mathematics of the Tower of Hanoi, computer science, and elsewhere. An almost-extreme vertex of Sn p is introduced as a vertex that is either adjacent to an extreme vertex of Sn p or is incident to an edge between two subgraphs of Sn p isomorphic to Snp-1. Explicit formulas are given for the distance in Sn p between an arbitrary vertex and an almostextreme vertex. The formulas are applied to compute the total distance of almost-extreme vertices and to obtain the metric dimension of Sie

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