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International Journal of Creative and Open Research in Engineering and Management

A Peer-Reviewed, Open-Access International Journal Supporting Multidisciplinary Research, Digital Publishing Standards, DOI Registration, and Academic Indexing.
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ISSN: 3108-1754 (Online)
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ISO Certification: 9001:2015
Publication Fee: 599/- INR
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License: CC BY 4.0
Peer Review: Double Blind
Volume 02, Issue 05

Published on: May 2026

A COMPREHENSIVE ANALYSIS OF RECURSION AND ITERATION IN COMPUTATIONAL PROBLEM SOLVING

Sneha Pal Sanskriti Patel Kavya Raj Shubham Kushwaha

DR. Virendra Tiwari

B.Tech CSE
DOI:https://doi.org/10.55041/ijcope.v2i5.138

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Abstract

This paper presents a comprehensive analysis of recursion and iteration as fundamental paradigms in computational problem solving. While both approaches are mathematically equivalent, their practical implementations differ significantly in terms of performance, memory usage, readability, and maintainability (Kumar & Singh, 2022). The study explores their behavior at the hardware level, compares algorithmic complexity across common problem domains, and examines modern compiler optimizations such as tail call optimization (Sharma et al., 2023). Additionally, it evaluates the cognitive challenges faced by programmers and the impact of these paradigms on software maintainability (Zhang & Lee, 2021). The findings highlight that iteration is generally more efficient for linear problems, whereas recursion provides superior clarity for hierarchical and divide-and- conquer structures.

How to Cite this Paper

Pal, S., Patel, S., Raj, K. & Kushwaha, S. (2026). A Comprehensive Analysis of Recursion and Iteration in Computational Problem Solving. International Journal of Creative and Open Research in Engineering and Management, <i>02</i>(05). https://doi.org/10.55041/ijcope.v2i5.138

Pal, Sneha, et al.. "A Comprehensive Analysis of Recursion and Iteration in Computational Problem Solving." International Journal of Creative and Open Research in Engineering and Management, vol. 02, no. 05, 2026, pp. . doi:https://doi.org/10.55041/ijcope.v2i5.138.

Pal, Sneha,Sanskriti Patel,Kavya Raj, and Shubham Kushwaha. "A Comprehensive Analysis of Recursion and Iteration in Computational Problem Solving." International Journal of Creative and Open Research in Engineering and Management 02, no. 05 (2026). https://doi.org/https://doi.org/10.55041/ijcope.v2i5.138.

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References


  1. Lokshtanov, , Ramanujan, M. S., & Saurabh,(2026). When recursion is better than iteration. Journal of Combinatorial Theory.

  2. Damruwan, T. (2025). Comparative analysis of iterative vs recursive algorithm design

  3. Nguyen, T., Brown, M., & Wilson, D. (2024). Modern compiler optimizations and recursion

  4. Zhang, Y., & Lee, J. (2021). Cognitive challenges in recursion learning.

  5. Patel, D., & Verma, S. (2021). Performance evaluation of iterative vs recursive algorithms.

  6. Sharma, P., Gupta, R., & Mehta, K. (2023). Analysis of recursion vs iteration in algorithm

  7. Goenka, , et al. (2025). Policy iteration algorithm analysis.

  8. MDPI Study (2024). Algorithmic complexity vulnerabilities in recursion.

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  • •All submissions are screened under plagiarism detection.
  • •Review follows editorial policy.
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  • •Peer Review Type: Double-Blind Peer Review
  • •Published on: May 08 2026
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