| 1 | initial version |
Ignoring parts with total degree greater than $d$ suggest that power series with precision $d$ are more suitable in this setting:
Q = PowerSeriesRing(QQ, n, 'x', default_prec=d)
x = Q.gens()
| 2 | No.2 Revision |
Ignoring parts with total degree greater than $d$ suggest suggests that power series with precision $d$ are more suitable in this setting:
Q = PowerSeriesRing(QQ, n, 'x', default_prec=d)
x = Q.gens()
| 3 | No.3 Revision |
Ignoring parts with total degree greater than $d$ suggests that power series with precision $d$ are more suitable in this setting:
Q = PowerSeriesRing(QQ, n, 'x', default_prec=d)
x = Q.gens()
[g.add_bigoh(d) for g in Q.gens()]
| 4 | No.4 Revision |
Ignoring parts with total degree greater than $d$ $\geq d$ suggests that power series with precision $d$ are more suitable in this setting:
Q = PowerSeriesRing(QQ, n, 'x', default_prec=d)
x = [g.add_bigoh(d) for g in Q.gens()]
| 5 | No.5 Revision |
Ignoring parts with total degree $\geq d$ suggests that power series with precision $d$ are more suitable in this setting:
Q = PowerSeriesRing(QQ, n, 'x', default_prec=d)
x = [g.add_bigoh(d) for g in Q.gens()]
f = x[0]^4
print( f.add_bigoh(3).polynomial() )
| 6 | No.6 Revision |
Ignoring parts with total degree $\geq d$ suggests that power series with precision $d$ are more suitable in this setting:
d = 3
Q = PowerSeriesRing(QQ, n, 3, 'x', default_prec=d)
x = [g.add_bigoh(d) for g in Q.gens()]
f = x[0]^4
print( f.add_bigoh(3).polynomial() f.add_bigoh(d).polynomial() )
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