A note on local convergence of iterative processes for pipe network analysis

Abstract Analysis of pipe networks involves computing flow rates and pressure differences on pipe segments in the network, given the external inflow/outflow values. This analysis can be conducted using iterative methods, among which the algorithms of Hardy Cross and Newton-Raphson have historically been applied in practice. In this note, we address the mathematical analysis of the local convergence of these algorithms. The loop-based Newton–Raphson algorithm converges quadratically fast, and we provide estimates for its convergence radius to correct some estimates in the previous literature. In contrast, we show that the convergence of the Hardy Cross algorithm is only linear. This provides theoretical confirmation of experimental observations reported earlier in the literature.

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Publication Details

Journal
Computational and Applied Mathematics
Published
2025-04-03
DOI
https://doi.org/10.1007/s40314-025-03158-2
Primary Topic
Gene Regulatory Network Analysis
Type
article
Field-Weighted Citation Impact
0.00

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article

A note on local convergence of iterative processes for pipe network analysis

Huong Luu, Marek Chrobák
Computational and Applied Mathematics
Gene Regulatory Network Analysis
article

A note on local convergence of iterative processes for pipe network analysis

Huong Luu, Marek Chrobák
article en

Abstract

Abstract Analysis of pipe networks involves computing flow rates and pressure differences on pipe segments in the network, given the external inflow/outflow values. This analysis can be conducted using iterative methods, among which the algorithms of Hardy Cross and Newton-Raphson have historically been applied in practice. In this note, we address the mathematical analysis of the local convergence of these algorithms. The loop-based Newton–Raphson algorithm converges quadratically fast, and we provide estimates for its convergence radius to correct some estimates in the previous literature. In contrast, we show that the convergence of the Hardy Cross algorithm is only linear. This provides theoretical confirmation of experimental observations reported earlier in the literature.

Computational and Applied MathematicsVol. 44(5)
University of California, Riverside (US)
National Science Foundation
Openalex Percentile: Top 94%
Gene Regulatory Network Analysis
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A note on local convergence of iterative processes for pipe network analysis — Huong Luu, Marek Chrobák · Computational and Applied Mathematics (2025) | TGRS Research Map | TGRS