Sigmoid Data Fitting by Least Squares Adjustment of Second and Third Divided Differences

DOI10.1007/978-3-319-09683-4_6zbMath1416.90029OpenAlexW636920479MaRDI QIDQ4562469

I. C. Demetriou

Publication date: 20 December 2018

Published in: Network Models in Economics and Finance (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-319-09683-4_6

zbMATH Keywords

quadratic programmingactive constraintmarginal ratedata smoothing methodsmachine accuracy

Mathematics Subject Classification ID

Quadratic programming (90C20)

Uses Software

• L2CXFT
• FITPACK
• L2CXCV

Cites Work

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• A numerically stable dual method for solving strictly convex quadratic programs
• Least squares convex-concave data smoothing
• Data Smoothing using Non-Negative Divided Differences and l₂ Approximation
• Least Squares Smoothing of Univariate Data to achieve Piecewise Monotonicity
• The Minimum Sum of Squares Change to Univariate Data that gives Convexity
• Algorithm 742: L2CXFT

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