Convex-concave fitting to successively updated data and its application to Covid-19 analysis

DOI10.1007/s10878-022-00867-wzbMath1505.90101OpenAlexW4283522455MaRDI QIDQ2091095

I. C. Demetriou, Demetrius E. Davos

Publication date: 31 October 2022

Published in: Journal of Combinatorial Optimization (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10878-022-00867-w

zbMATH Keywords

sigmoidquadratic programmingapproximationsubstitutionleast squares fitinflection pointconvex-concaveCovid-19 pandemic datadivided difference of order two

Mathematics Subject Classification ID

Numerical smoothing, curve fitting (65D10) Applications of mathematical programming (90C90) Approximation methods and heuristics in mathematical programming (90C59) Combinatorial optimization (90C27) Approximation with constraints (41A29)

Uses Software

• L2CXCV

Cites Work

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• Least squares convex-concave data smoothing
• A theorem for piecewise convex-concave data approximation.
• Piecewise convex-concave approximation in the minimax norm
• The Minimum Sum of Squares Change to Univariate Data that gives Convexity
• On the Sensitivity of Least Squares Data Fitting by Nonnegative Second Divided Differences

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