mlsanityData to 14 Oct 2026

Sensitivity analysis for parametric nonlinear programming: A tutorial

arXiv 2504.15851 ↗First posted 22 Apr 2025math.OCcited by 2

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Abstract (arXiv)

This tutorial provides an overview of the current state-of-the-art in the sensitivity analysis for nonlinear programming. Building upon the fundamental work of Fiacco, it derives the sensitivity of primal-dual solutions for regular nonlinear programs and explores the extent to which Fiacco's framework can be extended to degenerate nonlinear programs with non-unique dual solutions. The survey ends with a discussion on how to adapt the sensitivity analysis for conic programs and approximate solutions obtained from interior-point algorithms.

Key facts. Cited by 2 papers in the map (data through 14 Oct 2026). First posted on arXiv 22 Apr 2025.

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Citing papers per year: 2025: 1; 2026: 1.

2 papers.