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Macaulay2 website
Seminormalization
::
betterNormalizationMap(...,Strategy=>...)
betterNormalizationMap(...,Strategy=>...) -- controls what strategy is used in calls to integralClosure
Description
These options are passed along whenever the functions call integralClosure.
Further information
Default value:
{}
Function:
betterNormalizationMap
-- normalizes non domains
Option key:
Strategy
-- an optional argument
See also
integralClosure(...,Strategy=>...)
-- control the algorithm used
Functions with optional argument named
Strategy
:
"addHook(...,Strategy=>...)"
-- see
addHook
-- add a hook function to an object for later processing
"annihilator(...,Strategy=>...)"
-- see
annihilator
-- the annihilator ideal
betterNormalizationMap(...,Strategy=>...)
-- controls what strategy is used in calls to integralClosure
"seminormalize(...,Strategy=>...)"
"mingens(...,Strategy=>...)"
-- see
Complement
-- a Strategy option value
"trim(...,Strategy=>...)"
-- see
Complement
-- a Strategy option value
determinant(...,Strategy=>...)
-- choose between Bareiss and Cofactor algorithms
"dual(MonomialIdeal,List,Strategy=>...)"
-- see
dual(MonomialIdeal,Strategy=>...)
"dual(MonomialIdeal,RingElement,Strategy=>...)"
-- see
dual(MonomialIdeal,Strategy=>...)
dual(MonomialIdeal,Strategy=>...)
exteriorPower(...,Strategy=>...)
-- choose between Bareiss and Cofactor algorithms
"gb(...,Strategy=>...)"
-- see
gb
-- compute a Gröbner basis
"GF(...,Strategy=>...)"
-- see
GF
-- make a finite field
"groebnerBasis(...,Strategy=>...)"
-- see
groebnerBasis
-- Gröbner basis, as a matrix
"hooks(...,Strategy=>...)"
-- see
hooks
-- list hooks attached to a key
"intersect(...,Strategy=>...)"
-- see
intersect(List)
-- compute an intersection of ideals or modules
"isPrime(Ideal,Strategy=>...)"
-- see
isPrime(Ideal)
-- whether an ideal is prime
"match(...,Strategy=>...)"
-- see
match
-- regular expression matching
"decompose(Ideal,Strategy=>...)"
-- see
minimalPrimes
-- minimal primes of an ideal
minors(...,Strategy=>...)
-- choose between Bareiss and Cofactor algorithms
quotient(...,Strategy=>...)
resolution(...,Strategy=>...)
saturate(...,Strategy=>...)
"syz(...,Strategy=>...)"
-- see
syz(Matrix)
-- compute the syzygy matrix