Smooth, Easy to Compute Interpolating Splines.
Smooth local interpolation of surfaces using normal vectors.
Smoothing and interpolation in a convex subset of a Hilbert space : II. The semi-norm case
Smoothing by Spline Functions.
Smoothing by Spline Functions. II.
Smoothing Noisy Data Under Monotonicity Constraints Existence, Characterization and Convergence Rates.
Smoothing Noisy Data with Spline Functions.
Smoothing Noisy Data with Spline Functions.
Smoothing Noisy Data with Spline Functions. Estimating the Correct Degree of Smoothing by the Method of Generalized Cross-Validation.
Solving a class of multivariate integration problems via Laplace techniques
We consider the problem of calculating a closed form expression for the integral of a real-valued function f:ℝⁿ → ℝ on a set S. We specialize to the particular cases when S is a convex polyhedron or an ellipsoid, and the function f is either a generalized polynomial, an exponential of a linear form (including trigonometric polynomials) or an exponential of a quadratic form. Laplace transform techniques allow us to obtain either a closed form expression, or a series representation that can be handled...
Solving Complex Approximation Problems by Semiinfmite - Finite Optimization Techniques : A Study on Convergence.
Solving Confluent Vandermonde Systems of Hermite Type.
Solving Theodorsen's Integral Equation for Conformai Maps with the Fast Fourier Transform and Various Nonlinear Iterative Methods.
Some algorithm for computing local parameters of quartic interpolatory splines
Some algorithm for testing convexity of histogram
Some algorithms for quartic smoothing splines
Some applications and numerical methods for orthogonal polynomials
Some approximate formulas
Some double integral inequalities and applications.
Some Gauss-Type Formulae for the Evaluation of Cauchy Principal Values of Integrals.