Link: https://share.cocalc.com/share/df81e09e5b8f16f28b3a2e818dcdd4560e7818ae/support/2020-08-18-mpoly.ipynb?viewer=share
On Tuesday, August 18, 2020 at 9:56:00 AM UTC-7 William wrote: > Hi Luis, > > It's actually not a bug, but a missing feature. The problem is that in > the first case R is a *univariate* polynomial ring, and in the second case > it is a multivariate polynomial ring and different functionality is > available in each case. Read the docs for PolynomialRing (via > PolynomialRing?) for more details. To fix your code, just use the > implementation="singular" option to get a multivariate polynomial ring in 1 > variable: > > R.<x> = PolynomialRing(QQ, implementation="singular") > > -William > > On Tuesday, August 18, 2020 at 6:31:55 AM UTC-7 Luis Garcia-Puente wrote: > >> The following code does not run in a Jupyter notebook inside cocalc >> >> R.<x> = PolynomialRing(QQ) >> f = x^3+6*x^2+12*x+8; >> g = x^2+x-2; >> I = R.ideal([f]); >> J = R.ideal([g]); >> I.intersection(J) >> >> This produces an error that ends with the line: >> >> AttributeError: 'Ideal_1poly_field' object has no attribute 'intersection' >> >> Similarly, we get an error in the following line >> >> I.quotient(J) >> >> AttributeError: 'Ideal_1poly_field' object has no attribute 'quotient' >> >> However, if we use the ring on 2 variables >> >> R.<x,y> = PolynomialRing(QQ) >> >> all computations execute. >> >> -- You received this message because you are subscribed to the Google Groups "sage-support" group. To unsubscribe from this group and stop receiving emails from it, send an email to sage-support+unsubscr...@googlegroups.com. To view this discussion on the web visit https://groups.google.com/d/msgid/sage-support/525ad011-8c83-4eae-8058-597e034be223n%40googlegroups.com.
