========================== - Fixes installation issue with Python 3.10.
- Bug fix when using very large number of stratifications per axis (> ninc per axis). The algorithm was operating sub-optimally in some such situations. Not usually an issue except for low-dimension integrals.
5.0
======================== New implementation of PDFIntegrator which is slightly incompatible with the previous implementation but significantly more capable. In particular, it can now be used with non-Gaussian PDFs. It also now works with batch integrands, which lead to big speed increases.
Also includes a further bug fix when max_nhcube=1.
4.0.3
======================== Fixes bug when max_nhcube=1.
4.0.2
======================== - Fixes (rare) bug when integrand vanishes everywhere.
- Lazy import for mpi4py.
- Adds RBatchIntegrand and rbatchintegrand.
4.0.1
======================== Bug fix so version 4.0 works properly on Windows machines.
4.0
======================= This update changes one aspect of the default algorithm for adaptive stratified sampling. Specifically it no longer uses the same number of stratifications in each direction: Mst+1 stratifications are used in the first D0 directions and Mst in the remaining directions. This allows for more hypercubes, which reduces errors and improves stability. For many problems the difference is negligible, but this change can lead to large improvements for high dimensions or with a small number neval of integrand evaluations. In particular there will always be some stratification for arbitrarily high dimensions. The default stratification is determined by neval and new parameter neval_frac.
A related change is that AdaptiveMaps can now have different numbers of increments in different directions.