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Keywords:
Polynomial,
Interpolates,
Smoothly,
Piecewise,
Curve
a curved line formed by two or more vertices, or "control points", and a mathematical formula describing the curve(s) between them
a polynomial curve or surface used to represent spatial variation smoothly.
A curved line segment. See the section in the manual on splines. The splines used in PfaEdit are all third order Bézier splines.
A curve used to define the shape of a model and defined by the position of its control points.
In computer graphics, a curve calculated by a mathematical function that connects separate points with a high degree of smoothness.
A curve represented by a minimum of points. The corners of a square could also represent a circle if a curve connected the corners instead of straight lines.
a method of interpolation in which a smooth line or surface connects data points.
a flexible strip (wood or rubber) used in drawing curved lines
a curve defined mathematically by two or more points (or knots)
a -curve passing through a series of points
a curve that is piecewise n th degree polynomial
a curve which passes smoothly through a set of points
a device used in drafting to produce smoothed curves
a funny name for a curve
a mathematical curve that often takes the form of a polynomial curve or surface that is used for purposes of smoothing or interpolation
a mathematical curve that smoothes or interpolates data
a mathematically-described line that smoothly connects points on a curve or surface
a mathematical technique for fitting curves to data
a mathematical technique for generating a single geometric object from pieces
an open or closed curve composed of vertices and segments
a rubber coated articulated metal that can be manually bent to most curves
a series of cubic polynomials
a smooth curve that is fitted along a number of control points
a smooth curve that passes through a specified set of control points
a wiggly curve that changes its wiggles as it moves along to try to touch each data point
A method to mathematically smooth spatial variation by adding vertices along a line. See densify for a slightly different method for adding vertices.
A setting in the EditDV Unplugged Interpolation pop-up that produces movement between key frame settings along curved lines; creating a smooth, flowing motion.
A mathematical formula for drawing regular function curves.
Approximate representation of a function by the sum of many polynomials.
Piecewise parametric polynomial curve. Splines are a representation of curves that are often used to approximate complex shapes through curve fitting and interactive curve design.
A mathematical smoothing function representing a line.
A mathematical curve specified by a number of points and possibly tangents. Also, a drafting tool for drawing such curves.
A 3D bezier curve used in modelling.
In general, a curved line, made up of segments and defined by control points (for example, CVs). Types of splines include polylines, cardinal splines, B-splines, and non-uniform rational B-splines (NURBS). Splines were originally developed for shipbuilding. A way to draw a smooth curve through a set of points was needed. The solution was to place metal weights at points and pass a thin wooden beam between the weights. The beam, called a spline, adopts a minimum energy position with respect to the weights, producing a smooth curve. The influence of each weight is maximum at the point of contact, and decreases smoothly away from that point.
A mathematical curve used to smoothly represent spatial variation. A spline operation inserts vertices to create a curve in an arc. See also grain tolerance and densify.
(n or v) A free-form curve that connects a series of control points with a smooth curve. Changing a control point results in a change in the curve. The term also describes the process of connecting points to create a curve. B-spline and Bezier curves are examples of spline curves.
In the mathematical subfield of numerical analysis, a spline is a special function defined piecewise by polynomials. In interpolating problems, spline interpolation is often preferred to polynomial interpolation because it yields similar results, even when using low degree polynomials, while avoiding Runge's phenomenon for higher degrees.
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