Comments (3)
Fixed now in 0.17.7. Digging out the bug revealed some other things, also fixed. One benefit is that (on the average) integration is now a little more precise for all schemes.
Let me know if this fix works for you.
Thank you, Nico. It works.
from quadpy.
I'll look at it first thing tomorrow.
from quadpy.
Fixed now in 0.17.7. Digging out the bug revealed some other things, also fixed. One benefit is that (on the average) integration is now a little more precise for all schemes.
Let me know if this fix works for you.
from quadpy.
Related Issues (20)
- The source code is not available HOT 1
- Status of package and licensing HOT 4
- Quadpy is now asking for a sigma license HOT 18
- Can't import HOT 8
- Orthopy version no longer supported HOT 9
- version of orthopy no longer supported HOT 5
- Return points and values for integrate_adaptive HOT 1
- Importing quadpy causes python to quit without any error message HOT 4
- Issue upgrading quadpy HOT 7
- Unable to find valid license for Sigma. HOT 3
- Recurrent issue with sigma license HOT 5
- Quadpy RuntimeError HOT 7
- Adaptive multivariate integration over hypercubes HOT 9
- Integrate over multiple limits at once using Quadpy HOT 8
- newest pip version not importable HOT 1
- the integrals with Heaviside function are very inaccurate HOT 9
- quadpy.c1.gauss_patterson(5) problem HOT 2
- License Key Requirement for Quadpy Library HOT 1
- Quadrature results inconsistent with scipy.integrate.quad and mpmath.quad HOT 3
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