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1

Turner, D. "Total Functional Programming." JUCS - Journal of Universal Computer Science 10, no. (7) (2004): 751–68. https://doi.org/10.3217/jucs-010-07-0751.

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The driving idea of functional programming is to make programming more closely related to mathematics. A program in a functional language such as Haskell or Miranda consists of equations which are both computation rules and a basis for simple algebraic reasoning about the functions and data structures they define. The existing model of functional programming, although elegant and powerful, is compromised to a greater extent than is commonly recognised by the presence of partial functions. We consider a simple discipline of total functional programming designed to exclude the possibility of non
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Shukla, Abhishek. "Bridging the Gap between Event-Based Programming and Functional Programming." International Journal of Science and Research (IJSR) 11, no. 1 (2022): 1595–98. http://dx.doi.org/10.21275/sr231116134821.

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3

Ferguson, Iain. "Functional programming." ACM SIGPLAN Lisp Pointers VI, no. 2 (1993): 43–48. http://dx.doi.org/10.1145/174186.174192.

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4

Ames, W. F. "Functional programming." Mathematics and Computers in Simulation 31, no. 6 (1990): 599. http://dx.doi.org/10.1016/0378-4754(90)90083-u.

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5

Joosten, S. "Functional programming." Information and Software Technology 32, no. 2 (1990): 166. http://dx.doi.org/10.1016/0950-5849(90)90121-7.

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6

Visnovitz, Márton. "Classical Programming Topics with Functional Programming." Central-European Journal of New Technologies in Research, Education and Practice 2, no. 2 (2020): 41–55. http://dx.doi.org/10.36427/cejntrep.2.2.965.

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7

Goldberg, Benjamin. "Functional programming languages." ACM Computing Surveys 28, no. 1 (1996): 249–51. http://dx.doi.org/10.1145/234313.234414.

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8

Reddy, U. S. "Imperative functional programming." ACM Computing Surveys 28, no. 2 (1996): 312–14. http://dx.doi.org/10.1145/234528.234736.

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9

Antoy, Sergio, and Michael Hanus. "Functional logic programming." Communications of the ACM 53, no. 4 (2010): 74–85. http://dx.doi.org/10.1145/1721654.1721675.

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10

Elliott, Conal M. "Tangible functional programming." ACM SIGPLAN Notices 42, no. 9 (2007): 59–70. http://dx.doi.org/10.1145/1291220.1291163.

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11

Acar, Umut A., Guy E. Blelloch, and Robert Harper. "Adaptive functional programming." ACM SIGPLAN Notices 37, no. 1 (2002): 247–59. http://dx.doi.org/10.1145/565816.503296.

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12

Acar, Umut A., Guy E. Blelloch, and Robert Harper. "Adaptive functional programming." ACM Transactions on Programming Languages and Systems 28, no. 6 (2006): 990–1034. http://dx.doi.org/10.1145/1186632.1186634.

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13

WAKELING, DAVID. "Spreadsheet functional programming." Journal of Functional Programming 17, no. 1 (2007): 131–43. http://dx.doi.org/10.1017/s0956796806006186.

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AbstractThe functional programming community has shown some interest in spreadsheets, but surprisingly no one seems to have considered making a standard spreadsheet, such as Excel, work with a standard functional programming language, such as Haskell. In this paper, we show one way that this can be done. Our hope is that by doing so, we might get spreadsheet programmers to give functional programming a try.
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14

Huang, W. T., and D. C. You. "Typed functional programming." ACM SIGPLAN Notices 21, no. 2 (1986): 22–26. http://dx.doi.org/10.1145/15022.15024.

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15

Hudak. "Para-Functional Programming." Computer 19, no. 8 (1986): 60–70. http://dx.doi.org/10.1109/mc.1986.1663309.

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16

Gorognaya, Lidia. "On Functional Programming." Computer tools in education, no. 3 (August 20, 2021): 57–75. http://dx.doi.org/10.32603/2071-2340-2021-3-57-75.

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Abstract (sommario):
The article is devoted to the description of the features of functional programming, considered as a methodology for solving new and research problems of applied and system programming. The technique of analysis and comparison of programming paradigms is involved, taking into account the priorities of decision-making in the process of developing programs. The methodology for comparing languages and programming paradigms is based on an informal definition of the term “programming paradigm”, according to which, when comparing paradigms, it is necessary to highlight the distinctive testable featu
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17

Mollov, Muharem, and Petar Petrov. "Developing Problem Solving Competency Using Functional Programming Style." Mathematics and Informatics LXV, no. 1 (2022): 30–44. http://dx.doi.org/10.53656/math2022-1-3-dev.

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This paper is dedicated to the challenges of the education that high school students are facing while developing specific competencies related to the functional programming style (FPS). The presented educational approach consists of two components: first, learning FPS by comparing it with the imperative, procedural, object-oriented and logic programming paradigms and second, using competencies based approach for solving practical problems with functional programming. The paper presents a problem set and the phases of its application in the learning process. The results and the analysis of the
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18

Chambers, John M. "Object-Oriented Programming, Functional Programming and R." Statistical Science 29, no. 2 (2014): 167–80. http://dx.doi.org/10.1214/13-sts452.

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19

Shen, Gan, Shun Kashiwa, and Lindsey Kuper. "HasChor: Functional Choreographic Programming for All (Functional Pearl)." Proceedings of the ACM on Programming Languages 7, ICFP (2023): 541–65. http://dx.doi.org/10.1145/3607849.

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Choreographic programming is an emerging paradigm for programming distributed systems. In choreographic programming, the programmer describes the behavior of the entire system as a single, unified program -- a choreography -- which is then compiled to individual programs that run on each node, via a compilation step called endpoint projection. We present a new model for functional choreographic programming where choreographies are expressed as computations in a monad. Our model supports cutting-edge choreographic programming features that enable modularity and code reuse: in particular, it sup
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20

Wadler, P. "Editorial - Lazy Functional Programming." Computer Journal 32, no. 2 (1989): 97. http://dx.doi.org/10.1093/comjnl/32.2.97.

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21

Hughes, J. "Why Functional Programming Matters." Computer Journal 32, no. 2 (1989): 98–107. http://dx.doi.org/10.1093/comjnl/32.2.98.

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22

Paulson, L. C. "Functional Programming with Hope." Computer Journal 35, no. 5 (1992): 491. http://dx.doi.org/10.1093/comjnl/35.5.491.

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23

Appel, Andrew W. "SSA is functional programming." ACM SIGPLAN Notices 33, no. 4 (1998): 17–20. http://dx.doi.org/10.1145/278283.278285.

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24

Hu, Zhenjiang, John Hughes, and Meng Wang. "How functional programming mattered." National Science Review 2, no. 3 (2015): 349–70. http://dx.doi.org/10.1093/nsr/nwv042.

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Abstract In 1989 when functional programming was still considered a niche topic, Hughes wrote a visionary paper arguing convincingly ‘why functional programming matters’. More than two decades have passed. Has functional programming really mattered? Our answer is a resounding ‘Yes!’. Functional programming is now at the forefront of a new generation of programming technologies, and enjoying increasing popularity and influence. In this paper, we review the impact of functional programming, focusing on how it has changed the way we may construct programs, the way we may verify programs, and fund
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25

Thomson, Norman. "Functional programming with APL2." ACM SIGAPL APL Quote Quad 24, no. 2 (1993): 15–16. http://dx.doi.org/10.1145/165643.165644.

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26

Gibert, Jacek. "Functional programming with combinators." Journal of Symbolic Computation 4, no. 3 (1987): 269–93. http://dx.doi.org/10.1016/s0747-7171(87)80009-3.

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27

Huang, Wei‐Teh. "Functional programming in graphs." Journal of the Chinese Institute of Engineers 10, no. 1 (1987): 87–97. http://dx.doi.org/10.1080/02533839.1987.9676946.

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28

Perez, Ivan, Manuel Bärenz, and Henrik Nilsson. "Functional reactive programming, refactored." ACM SIGPLAN Notices 51, no. 12 (2018): 33–44. http://dx.doi.org/10.1145/3241625.2976010.

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29

CABALAR, PEDRO. "Functional answer set programming." Theory and Practice of Logic Programming 11, no. 2-3 (2011): 203–33. http://dx.doi.org/10.1017/s1471068410000517.

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AbstractIn this paper we propose an extension of Answer Set Programming (ASP) to deal with (possibly partial) evaluable functions. To this aim, we start from the most general logical counterpart of ASP, Quantified Equilibrium Logic (QEL), and propose a variant QEL=ℱwhere the set of functions is partitioned into Herbrand functions (orconstructors) and evaluable functions (oroperations). We show how this extension has a direct connection to Scott'sLogic of Existence, and introduce several useful derived operators, some of them directly borrowed from Scott's formalisation. Using this general fram
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30

Bailes, Paul A. "Introduction to functional programming." Science of Computer Programming 12, no. 2 (1989): 158–64. http://dx.doi.org/10.1016/0167-6423(89)90041-5.

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31

Duponcheel, L., and M. Duponcheel. "Acceptable functional programming systems." Acta Informatica 23, no. 1 (1986): 67–98. http://dx.doi.org/10.1007/bf00268076.

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32

Burton, F. W., and J. G. Kollias. "Functional programming with quadtrees." IEEE Software 6, no. 1 (1989): 90–97. http://dx.doi.org/10.1109/52.16906.

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33

van der Ploeg, Atze. "Monadic functional reactive programming." ACM SIGPLAN Notices 48, no. 12 (2014): 117–28. http://dx.doi.org/10.1145/2578854.2503783.

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34

Erwig, Martin. "Functional programming with graphs." ACM SIGPLAN Notices 32, no. 8 (1997): 52–65. http://dx.doi.org/10.1145/258949.258955.

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35

Hanna, Keith. "Interactive visual functional programming." ACM SIGPLAN Notices 37, no. 9 (2002): 145–56. http://dx.doi.org/10.1145/583852.581493.

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36

McNamara, Brian, and Yannis Smaragdakis. "Functional programming in C++." ACM SIGPLAN Notices 35, no. 9 (2000): 118–29. http://dx.doi.org/10.1145/357766.351251.

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37

Narbel, Ph. "Functional Programming at Work in Object- Oriented Programming." Journal of Object Technology 8, no. 6 (2009): 181. http://dx.doi.org/10.5381/jot.2009.8.6.a5.

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38

ERWIG, MARTIN, and STEVE KOLLMANSBERGER. "FUNCTIONAL PEARLS: Probabilistic functional programming in Haskell." Journal of Functional Programming 16, no. 1 (2005): 21–34. http://dx.doi.org/10.1017/s0956796805005721.

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Abstract (sommario):
At the heart of functional programming rests the principle of referential transparency, which in particular means that a function f applied to a value x always yields one and the same value y=f(x). This principle seems to be violated when contemplating the use of functions to describe probabilistic events, such as rolling a die: It is not clear at all what exactly the outcome will be, and neither is it guaranteed that the same value will be produced repeatedly. However, these two seemingly incompatible notions can be reconciled if probabilistic values are encapsulated in a data type.
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39

Perez, Ivan. "Fault tolerant functional reactive programming (functional pearl)." Proceedings of the ACM on Programming Languages 2, ICFP (2018): 1–30. http://dx.doi.org/10.1145/3236791.

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40

Gorodnyaya, Lidia. "FUNCTIONAL PROGRAMMING FOR PARALLEL COMPUTING." Bulletin of the Novosibirsk Computing Center. Series: Computer Science, no. 45 (2021): 29–48. http://dx.doi.org/10.31144/bncc.cs.2542-1972.2021.n45.p29-48.

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The paper is devoted to modern trends in the application of functional programming to the problems of organizing parallel computations. Functional programming is considered as a meta-paradigm for solving the problems of developing multi-threaded programs for multiprocessor complexes and distributed systems, as well as for solving the problems associated with rapid IT development. The semantic and pragmatic principles of functional programming and consequences of these principles are described. The paradigm analysis of programming languages and systems is used, which allows assessing their simi
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41

Thomas, Dave. "Functional Programming — Crossing The Chasm?" Journal of Object Technology 8, no. 5 (2009): 45. http://dx.doi.org/10.5381/jot.2009.8.5.c4.

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42

Jones, S. B. "Functional Programming and Operating Systems." Computer Journal 32, no. 2 (1989): 162–74. http://dx.doi.org/10.1093/comjnl/32.2.162.

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43

Hains, G. "Parallel Functional Programming with Arrays." Computer Journal 36, no. 3 (1993): 238–45. http://dx.doi.org/10.1093/comjnl/36.3.238.

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44

Hailpern, B., T. Huynh, and G. Revesz. "Comparing two functional programming systems." IEEE Transactions on Software Engineering 15, no. 5 (1989): 532–42. http://dx.doi.org/10.1109/32.24702.

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45

Furtado, Antonio L. "Towards functional programming in Prolog." ACM SIGPLAN Notices 23, no. 3 (1988): 43–52. http://dx.doi.org/10.1145/43895.43900.

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46

Mitchell, Emily G. "Functional programming through deep time." ACM SIGPLAN Notices 46, no. 9 (2011): 28–31. http://dx.doi.org/10.1145/2034574.2034779.

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47

Krasnov, M. M. "Functional Programming Library for C++." Programming and Computer Software 46, no. 5 (2020): 330–40. http://dx.doi.org/10.1134/s0361768820050047.

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48

Nedunuri, Srinivas. "The functional approach to programming." ACM SIGSOFT Software Engineering Notes 25, no. 3 (2000): 63–65. http://dx.doi.org/10.1145/505863.505889.

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49

Hinsen, Konrad. "The Promises of Functional Programming." Computing in Science & Engineering 11, no. 4 (2009): 86–90. http://dx.doi.org/10.1109/mcse.2009.129.

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50

GRANDJEAN, P. "Methylmercury toxicity and functional programming☆." Reproductive Toxicology 23, no. 3 (2007): 414–20. http://dx.doi.org/10.1016/j.reprotox.2007.03.002.

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