On the characterization of quadratic splines
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Publication:1774034
DOI10.1007/s10957-004-6467-8zbMath1068.41013OpenAlexW2028372504MaRDI QIDQ1774034
Publication date: 29 April 2005
Published in: Journal of Optimization Theory and Applications (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s10957-004-6467-8
Complementarity and equilibrium problems and variational inequalities (finite dimensions) (aspects of mathematical programming) (90C33) Spline approximation (41A15)
Related Items (3)
Sparse solutions to an underdetermined system of linear equations via penalized Huber loss ⋮ Linear Convergence of Descent Methods for the Unconstrained Minimization of Restricted Strongly Convex Functions ⋮ Necessary and Sufficient Conditions for Noiseless Sparse Recovery via Convex Quadratic Splines
Cites Work
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- Constrained \(L_ p\) approximation
- On Newton's method for Huber's robust M-estimation problems in linear regression
- Nonlinear complementarity as unconstrained and constrained minimization
- Finite algorithms for robust linear regression
- Introduction to Piecewise Differentiable Equations
- A Newton Method for Convex Regression, Data Smoothing, and Quadratic Programming with Bounded Constraints
- A Finite Smoothing Algorithm for Linear $l_1 $ Estimation
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