PolyChaos Release Notes

Version 0.2.2

switched to abstract arrays as suggested by #26
re-definition of types was necessary, taking into account Julian recommendations, see this discourse entry, see this discourse entry https://discourse.julialang.org/t/creating-ones-own-matrix-type/33553, and see the docs.
modified test functions to account, e.g. for static arrays.

Version 0.2.1

increased code coverage
examples work with new type hierarchy
updated dependencies

Version 0.2.0

new type hierarchy that involves four abstract types:
- AbstractMeasure
- AbstractOrthoPoly
- AbstractQuad
- AbstractTensor
canonical measures and orthogonal polynomials are now subtypes of AbstractCanonicalMeasure and AbstractOrthoPoly
code hygiene at several fronts

Version 0.1.3

removed default show function for types specific to PolyChaos.jl as this was causing issues with the Atom editor
improved showpoly, and added showbasis
updated documentation
updated package dependencies
added example for chance-constrained DC optimal power flow to documentation see 004be7c
computation of moments from PCE coefficients is now compatible with JuMP (was restricted to Vector{Float64} before), see see f99030

Version 0.1.2 (Mar 13, 2019)

implemented show function for orthogonal polynomials (thanks @pfitzseb )
improved Golub-Welsch algorithm (adapted from GaussQuadrature.jl which itself is based on this Fortran code)
improved code coverage, i.e. added tests
code hygiene

Version 0.1.1 (Feb 27, 2019)

improved performance of recurrence coefficients, quadrature rules, evaluation of orthogonal polynomials
added considerable number of tests for recurrence coefficients (see #4) and quadrature rules (see #5)
added code coverage
added GNU General Public License v3.0
removed dependency on IterTools

Version 0.1.0 (Feb 18, 2019)

initial version