|  |  3.3.3 Term orderings 
Any polynomial (resp. vector) in SINGULAR is ordered w.r.t. a
term ordering (or, monomial ordering), which has to be specified
together with the declaration of a ring. SINGULAR stores and
displays a polynomial (resp. vector) w.r.t. this ordering, i.e., the
greatest monomial (also called the leading monomial) is the first one
appearing in the output polynomial, and the smallest monomial is the last one.
 
Remark: The novice user should generally use the ordering
dpfor computations in the polynomial ring![$K[x_1,\ldots,x_n]$](sing_60.png) ,resp. dsfor computations in the localization![$\hbox{Loc}_{(x)}K[x_1,\ldots,x_n])$](sing_61.png) .For more details, see  Polynomial data. 
In a ring declaration, SINGULAR offers the following orderings
(but see also  Monomial orderings):
 
Global orderings
lplexicographical ordering
rpreverse lexicographical ordering, i.e. a lexicographical ordering from the right
with 1 < x_1 < ... <x_n
(should not be used as it reverses the "natural" x_1 > ... > x_n,
reorder the variables instead)
dpdegree reverse lexicographical ordering
Dpdegree lexicographical ordering
wp(intvec_expression)weighted reverse lexicographical ordering; the weight vector is expected to
consist of positive integers only.
Wp(intvec_expression)weighted lexicographical ordering; the weight vector is expected to consist of
positive integers only.
 
Global orderings are well-orderings, i.e., 
 for each ring
variable  . They are denoted by a pas the second
character in their name. 
Local orderings
lsnegative lexicographical ordering
rsnegative reverse lexicographical ordering, i.e. a lexicographical ordering from the right
(should not be used as it reverses the "natural" x_1 < ... < x_n,
reorder the variables instead)
dsnegative degree reverse lexicographical ordering
Dsnegative degree lexicographical ordering
ws(intvec_expression)(general) weighted reverse lexicographical ordering; the first element
of the weight vector has to be non-zero.
Ws(intvec_expression)(general) weighted lexicographical ordering; the first element
of the weight vector has to be non-zero.
 
Local orderings are not well-orderings. They are denoted by an sas the second character in their name. 
Matrix orderings
M(intmat_expression)intmat_expression has to be an invertible square matrix
 
Using matrix orderings, SINGULAR can compute standard bases
w.r.t. any monomial ordering which is compatible with the natural
semi-group structure on the monomials. In practice, the predefined global
and local orderings together with the block orderings should be
sufficient in most cases. These orderings are faster than their
corresponding matrix orderings since evaluation of a matrix ordering is more
time consuming.
 
Extra weight vector
a(intvec_expression)an extra weight vector a(intvec_expression)may precede
any monomial ordering 
Product ordering
(ordering [(int_expression)],...)any of the above orderings and the extra weight vector may be combined
to yield product or block orderings
 
The orderings lp,dp,Dp,ls,ds,Dsandrpmay be followed by an int_expression in
parentheses giving the
size of the block. For the last block the size is calculated
automatically. For weighted orderings, the size of the block is given
by the size of the weight vector. The same holds analogously for matrix
orderings. 
Module orderings
(ordering,..., C )(ordering,..., c )sort polynomial vectors by the monomial ordering first, then by
components
( C,ordering,...)( c,ordering,...)sort polynomial vectors by components first, then by the monomial
ordering
 
Here a capital Csorts generators in ascending order, i.e.,gen(1)<gen(2)< .... A smallcsorts in
descending order, i.e.,gen(1)>gen(2)> .... It is
not necessary to specify the module ordering explicitly since(ordering,..., C )is the default. 
In fact, corCmay be specified anywhere in a product
ordering specification, not only at its beginning or end.  All monomial
block orderings preceding the component ordering have higher precedence,
all monomial block orderings following after it have lower precedence. 
For a mathematical description of these orderings, see
 Polynomial data.
 
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