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November 8, 2025Open Access

Non-parametric B-spline decoupling of multivariate functions

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Authors

JJJoppe De JongheKU LeuvenMIMariya IshtevaKU Leuven

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Implication

This decoupling algorithm leverages B-splines to improve flexibility in multivariate function representation, suggesting new constraints may enhance results.

Key Points

  • Non-parametric B-spline decoupling enhances flexibility in multivariate function estimation, allowing for intuitive adjustments.
  • Key advantages include easy integration of nonnegativity and monotonicity constraints on function shapes.
  • The proposed algorithm is validated through synthetic examples, demonstrating its effectiveness in real applications.
  • Integration of monotonicity constraints is crucial when working with monotonic functions, emphasizing its importance in practice.

Cite This Study

Jonghe et al. (2025) studied this question.

synapsesocial.com/papers/690e8b6ca5b062d7a4e73611https://doi.org/10.48550/arxiv.2504.03263
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