Geography Reference
In-Depth Information
B
The Inverse of a Multivariate Homogeneous Polynomial
Univariate, bivariate, and multivariate polynomials and their inversion formulae. Cayley
multiplication and Kronecker-Zehfuss product. Triangular matrix.
For inversion problems of map projections like the computation of conformal coordinates of type
Gauss-Krueger
or
Universal Transverse Mercator Projection
(UTM), or alternative coordinates
of type
Riemann
or
Soldner-Fermi
, we may take advantage of the inversion of (i) an
univariate
homogeneous polynomial outlined in Sect.
B-1
, (ii) a
bivariate
homogeneous polynomial outlined
in Sect.
B-2
, or (iii) a
trivariate
, in general, multivariate homogeneous polynomial of degree
n
,
which is discussed in Sect.
B-3
.
Note that on the basis of an algorithm that is outlined
in
Koenig and Weise
(
1951a
, pp. 465-466, 501-511),
H. Glasmacher and K. Krack (1984, degree 6) as well
as
Joos and Joerg
(
1991
, degree 5) have developed
sym-
bolic computer manipulation software
for the inversion of a
bivariate homogeneous polynomial.
Furthermore, solutions for the inversion of a univariate homogeneous polynomial are already
tabulated in
Abramowitz and Stegun
(
1965
, p. 16, degree 7). However, we follow here
Grafarend
(
1996
), where the inversion of a general multivariate homogeneous polynomial of degree
n
suited
for symbolic computer manipulation is presented. For the mathematical foundation of the GKS
algorithm, we refer to
Bass et al.
(
1982
).
B-1 Inversion of a Univariate Homogeneous Polynomial of Degree
n
Assume the univariate homogeneous polynomial of degree
n
,namely
y
(
x
)ofBox
B.1
,tobcgiven
and find the inverse univariate homogeneous polynomial of degree
n
,namely
x
(
y
), i.e. from the
set of coecients
{
a
11
,a
12
, ..., a
1
n−
1
,a
1
n
}
, by the algorithm that is outlined in Box
B.1
, find
the set of coecients
{
b
11
,b
12
, ...,b
1
n−
1
,b
1
n
}
.
Search WWH ::
Custom Search