Optimal smoothing and interpolating splines with constraints

In this paper, we present a systematic method for designing optimal smoothing splines with equality and/or inequality constraints. The splines are constituted employing normalized uniform B-splines as the basis functions. It is shown that various types of constraints are formulated as linear function of the so-called control points, and the problems reduce to quadratic programming problems. We demonstrate the effectiveness and usefulness by numerical examples.