Abstract
It is well known that the functional programming paradigm provides certain advantages, namely increasing the reliability of software development, improving software verification and validation, providing software artefact reusability, and scaling software solutions. But this paradigm is not free from disadvantages also. The most serious of them are redundant memory usage and low-performance productivity. The ideas concerning the implementation of randomization mechanisms into reduction strategies, which is a significant part of the kernel of functional computing systems, are considered in the paper. The authors present simulation tools for studying such a mechanism and give their grounding. They also present the experimental results of the comparison analysis of variants reduction randomization.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Barendregt, H.P.: The Lambda Calculus, Its Syntax and Semantics. Studies in Logic and the Foundations of Mathematics, vol. 103. North Holland (1985)
Brzozowski, J.A.: Derivatives of regular expressions. J. ACM 11, 481–494 (1964)
Hu, Z., Hughes, J., Wang, M.: How functional programming mattered. Natl. Sci. Rev. 2(3), 349–370 (2015)
Neumann, J.: Advantages and disadvantages of functional programming (2022). https://medium.com/twodigits/advantages-and-disadvantages-of-functional-programming-52a81c8bf446. NEW IT Engineering, Medium. Accessed 02 Apr 2023
Shramenko, V., Kuznietcova, V., Zholtkevych, G.: Studying mixed normalization strategies of lambda terms. In: Chumachenko, D., et al. (eds.) Proceedings of the 2nd International Workshop of IT-professionals on Artificial Intelligence. ProfIT, vol. 3348, pp. 57–68. CEUR Workshop Proceedings (2022)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Deineha, O., Donets, V., Zholtkevych, G. (2023). On Randomization of Reduction Strategies for Typeless Lambda Calculus. In: Antoniou, G., et al. Information and Communication Technologies in Education, Research, and Industrial Applications. ICTERI 2023. Communications in Computer and Information Science, vol 1980. Springer, Cham. https://doi.org/10.1007/978-3-031-48325-7_3
Download citation
DOI: https://doi.org/10.1007/978-3-031-48325-7_3
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-48324-0
Online ISBN: 978-3-031-48325-7
eBook Packages: Computer ScienceComputer Science (R0)