Pages that link to "Item:Q3796649"
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The following pages link to Smoothing and Interpolation in a Convex Subset of a Hilbert Space (Q3796649):
Displaying 38 items.
- Generalization of the Kimeldorf-Wahba correspondence for constrained interpolation (Q302441) (← links)
- Constrained approximation by splines with free knots (Q678218) (← links)
- Simultaneous smoothing and interpolation with respect to E. Borel's theorem (Q689651) (← links)
- Monotone interpolation of scattered data in \({\mathbb{R}}^ s\) (Q756043) (← links)
- Smooth interpolation over hypercubes (Q802273) (← links)
- Best approximation and perturbation property in Hilbert spaces (Q852109) (← links)
- Incorporating prior knowledge in support vector regression (Q1009230) (← links)
- Interpolation and approximation by monotone cubic splines (Q1178502) (← links)
- On best constrained interpolation (Q1186615) (← links)
- A survey on univariate data interpolation and approximation by splines of given shape (Q1197740) (← links)
- Constrained best approximation in Hilbert space. II (Q1201286) (← links)
- Convexity-preserving interpolatory subdivision (Q1315804) (← links)
- Infinite-dimensional convex programming with applications to constrained approximation (Q1321276) (← links)
- Quasi interiors, Lagrange multipliers, and \(L^ p\) spectral estimation with lattice bounds (Q1321370) (← links)
- A dual approach to constrained interpolation from a convex subset of Hilbert space (Q1369249) (← links)
- Interpolation and approximation from convex sets (Q1379569) (← links)
- Piecewise convex function estimation: Pilot estimators (Q1383095) (← links)
- Shape preserving least-squares approximation by polynomial parametric spline curves (Q1389726) (← links)
- A general projection framework for constrained smoothing. (Q1431205) (← links)
- Penalized maximum-likelihood estimation, the Baum-Welch algorithm, diagonal balancing of symmetric matrices and applications to training acoustic data (Q1576464) (← links)
- Positive definite dot product kernels in learning theory (Q1767054) (← links)
- Constrained best approximation in Hilbert space (Q1824131) (← links)
- Best interpolation in seminorm with convex constraints (Q1893534) (← links)
- Best interpolation in a strip. II: Reduction to unconstrained convex optimization (Q1915770) (← links)
- Reconstruction of functions from prescribed proximal points (Q2037075) (← links)
- Gaussian process emulators for computer experiments with inequality constraints (Q2399826) (← links)
- A new method for interpolating in a convex subset of a Hilbert space (Q2401024) (← links)
- Convergence rate of Newton's method for \(L_2\) spectral estimation (Q2492708) (← links)
- On best restricted range approximation in continuous complex-valued function spaces (Q2569463) (← links)
- Projection Methods in Conic Optimization (Q2802538) (← links)
- Smooth and Semismooth Newton Methods for Constrained Approximation and Estimation (Q2895679) (← links)
- Duality and well-posedness in convex interpolation<sup>∗)</sup> (Q3810285) (← links)
- Smoothing and interpolation in a convex subset of a Hilbert space : II. The semi-norm case (Q3978385) (← links)
- Curves from variational principles (Q3989244) (← links)
- Iteration methods for convexly constrained ill-posed problems in hilbert space (Q4029153) (← links)
- NON-STRICTLY CONVEX MINIMIZATION OVER THE FIXED POINT SET OF AN ASYMPTOTICALLY SHRINKING NONEXPANSIVE MAPPING (Q4546050) (← links)
- Interpolation in dynamic equations on time scales (Q5433508) (← links)
- Armijo Newton method for convex best interpolation (Q5478866) (← links)
