Jasymca can handle polynomials with symbolic variables. In this
chapter, however, we work with the Matlab/Octave/Scilab-approach of using
vectors as list of polynomial coefficients: A polynomial of
degree is represented by a vector having
elements, the element
with index
being the coefficient of the highest exponent in the
polynomial. With
poly(x)
a normal polynomial is created, whose
zeros are the elements of x
, polyval(a,x)
returns functionvalues
of the polynomial with coefficients a
in the point x
,
roots(a)
calculates the zeros, and polyfit(x,y,n)
calculates the coefficients of the polynomial of degree , whose graph
passes through the points x ynd y. If their number is larger than
a least square estimate is performed. The regression analysis
in exercise 8 was performed using this method.
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