# Announcement: ApproxFun v0.4.1, with documentation

**URL:** <https://discourse.julialang.org/t/announcement-approxfun-v0-4-1-with-documentation/769>\
**Category:** Numerics\
**Tags:** package, announcement\
**Created:** [December 6, 2016, 8:50pm UTC](https://discourse.julialang.org/t/announcement-approxfun-v0-4-1-with-documentation/769 "2016-12-06T20:50:32Z")\
**Posts on this page:** 1\
**Page:** 1

<div class="post-metadata">

**Author:** ![dlfivefifty](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/dlfivefifty/32/1959_2.png) [@dlfivefifty](https://discourse.julialang.org/u/dlfivefifty)\
**Post date:** [December 6, 2016, 8:50pm UTC](https://discourse.julialang.org/t/announcement-approxfun-v0-4-1-with-documentation/769/1 "2016-12-06T20:50:32Z")

</div>

I’ve tagged a new release of ApproxFun, a package for approximating functions and solving linear equations, such as ODEs, PDEs and integral equations.

I have (finally!) added [documentation](http://juliaapproximation.github.io/ApproxFun.jl/stable/). Any suggestions for improvement would be greatly appreciated, just file an issue on github.

One major change is to construct a Fun on an interval `[0,1]`, the syntax is now

```julia
f = Fun(x->cos(100x^2),0..1)

```

This is consistent with IntervalSets.jl, which will become a dependancy once Julia v0.4 support is dropped.

Another major change is that `PeriodicInterval()` now means `[0,2π)` instead of `[-π,π)`.