Spline - Maple Help
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CurveFitting

  

Spline

  

compute a spline with specified end conditions

 

Calling Sequence

Parameters

Description

Examples

Calling Sequence

Spline(xydata, v, dgr, endpts)

Spline(xdata, ydata, v, dgr, endpts)

Parameters

xydata

-

list, Array, DataFrame, or Matrix of the form [[x0,y0], [x1,y1], ..., [xn,yn]]; data points

xdata

-

list, Array, DataSeries, or Vector of the form [x0, x1, ..., xn]; independent values

ydata

-

list, Array, DataSeries, or Vector or the form [y0, y1, ..., yn]; dependent values

v

-

name or numeric value

dgr

-

(optional) equation of the form degree=d where d is a positive integer

endpts

-

(optional) equation of the form endpoints=e where e is one of 'natural', 'notaknot', or 'periodic' or is a list, Array, Matrix, or Vector

Description

• 

The Spline routine computes a degree d piecewise polynomial in variable v that approximates the points .

  

If v is a numerical value, the value of the polynomial at this point returns.  The default value of d is 3; this can be changed by using the degree=d option.

• 

The intended purpose of the Spline function is to compute and return the piecewise formula of a spline interpolant.  To perform fast spline interpolation on numeric data, the CurveFitting[ArrayInterpolation] command should be used instead.

• 

By default, natural end conditions are used.  This can be changed by using the endpoints=e option.  For more details on the other types of end conditions available, see Spline Continuity and End Conditions.

• 

You can call the Spline routine in two ways.

  

The first, Spline(xydata, v, dgr, endpts), accepts a list, Array, or Matrix, , of data points.

  

The second, Spline(xdata, ydata, v, dgr, endpts), accepts two lists, two Arrays, or two Vectors. In this form, the first set of data contains the independent values, , and the second set contains the dependent values, .  Each element must be of type algebraic. All the independent values must be distinct.

• 

The result returned by the Spline routine is determined by the degree d.

  

If d is odd, the Spline routine returns a result in the form , where the n spline sections  are polynomials of degree at most d.

  

If d is even, the routine defines the spline knots at the midpoints of the nodes, unless the knots=data option is specified. In the default case, the Spline routine returns a result in the form , where , for , and the  spline sections  are polynomials of degree at most d. In the knots=data case, the result will have n spline sections and be of the form .

  

For more details on the formation of the piecewise polynomials and additional examples involving different end conditions, see the Spline Continuity and End Conditions help page.

• 

If a unique solution cannot be determined from the input data, a parametrized solution that uses parameters of the form a[i, j], where a is an automatically generated name, and i and j are integers, is returned.

• 

For greater efficiency in large problems, it is recommended that xdata and ydata be stored as Vectors using a float datatype.  For the degree 2 and degree 3 cases involving floating-point data only, the Spline command uses a more efficient algorithm that takes advantage of the external Numerical Algorithms Group (NAG) library for solving the resulting matrix equations.

Examples

(1)

(2)

(3)

See Also

CurveFitting

CurveFitting[ArrayInterpolation]

diff

piecewise

Spline Continuity and End Conditions

type/algebraic

 


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