polyval
evaluates the polynomial for given values
Syntax
y = polyval(p, x) y = polyval(p, x, [], mu) [y, d] = polyval(p, x, S) [y, d] = polyval(p, x, S, mu)
Arguments
- p
vector of doubles or polynom, the polynomial coefficients
- x
real or complex vector/matrix
- S
a structure (second output of polyfit) containing the following fields:
- R
a matrix of doubles, the triangular factor R form the qr decomposition
- df
a real, the degrees of freedom
- normr
a real, the norm of the residuals
- mu
a
1
x2
vector (third output of polyfit).mu(1)
ismean(x)
andmu(2)
isstdev(x)
- y
a real or complex vector/matrix, the result of the polynomial evaluated at
x
- d
a vector of the same size as
x
, the standard error for prediction
Description
y = polyval(p, x) evaluates the polynomial p at each value of x.
p
can be a vector containing the coefficients of the polynomial (output of
polyfit function) or a polynom.
The structure S, the second output argument of polyfit function, is used to compute d
,
standard error for prediction.
y = polyval(p, x, [], mu) or [y, d] = polyval(p, x, S, mu)
evaluates the polynomial p at each centered and scaled points: (x - mu(1))/mu(2)
. mu
is the third output argument
of polyfit function.
Examples
x = 0:5; // polynom: p(x) = 3x^2+2x+1 p = [3, 2, 1] y = polyval(p, x); p = poly(1:3, 'x', 'coeff'); y2 = polyval(p, x); y == y2
History
バージョン | 記述 |
2025.0.0 | Introduction in Scilab. |
Report an issue | ||
<< polyfit | Statistics | Sparses Matrix >> |