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  1. Spline (mathematics) - Wikipedia

    In mathematics, a spline is a function defined piecewise by polynomials. In interpolating problems, spline interpolation is often preferred to polynomial interpolation because it yields similar results, even when …

  2. 5.05: Spline Method of Interpolation - Mathematics LibreTexts

    Oct 5, 2023 · Lesson 1: Why Do We Need Spline Interpolation? After successful completion of this lesson, you should be able to: 1) justify why higher-order interpolation is a bad idea, 2) how spline …

  3. Types of Splines - Linear, Cubic, and B-Spline Interpolation Techniques

    Apr 25, 2025 · Explore the different types of splines, including linear, cubic, and B-spline interpolation, used in curve fitting and data processing. Learn their applications, benefits, and how they enhance …

  4. Splines — STATS 202 - Stanford University

    Natural cubic splines vs. polynomial regression Splines can fit complex functions with few parameters. Polynomials require high degree terms to be flexible. High-degree polynomials can be unstable at …

  5. Spline - Encyclopedia of Mathematics

    May 3, 2012 · Splines are applied to approximate functions (see Spline approximation; Spline interpolation), and in constructing approximate solutions of ordinary and partial differential equations. …

  6. Spline Definition (Illustrated Mathematics Dictionary)

    Illustrated definition of Spline: A function made up of polynomials that each have a specific interval. In other words a piecewise polynomial...

  7. An Interactive Introduction to Splines

    May 9, 2021 · Linear, quadratic and cubic Bezier splines. Bezier spline subdivision. Bernstein polynomials. Recurrence relations. How to plot Bezier spline and basis functions. Proof of the …

  8. Spline -- from Wolfram MathWorld

    Dec 3, 2025 · Splines are very useful for modeling arbitrary functions, and are used extensively in computer graphics. Cubic splines are implemented in the Wolfram Language as BSplineCurve [pts, …

  9. The most important of these are Hermite Splines, Catmull-Rom Splines, and Cardinal Splines. These are explained quite well in a number of computer graphics textbooks, but let us do a few examples to …

  10. A set of basis splines, depending only on the location of the knots and the degree of the approximating piecewise polynomials can be developed in a convenient, numerically stable manner.