Merge branch 'master' of https://github.com/JuliaApproximation/ApproxFun.jl

Author: dlfivefifty

Project.toml

@@ -1,6 +1,6 @@
 name = "ApproxFun"
 uuid = "28f2ccd6-bb30-5033-b560-165f7b14dc2f"
-version = "0.11.9"
+version = "0.11.10"
 
 [deps]
 AbstractFFTs = "621f4979-c628-5d54-868e-fcf4e3e8185c"
@@ -24,11 +24,11 @@ ApproxFunFourier = "0.1.5, 0.2"
 ApproxFunOrthogonalPolynomials = "0.2.3, 0.3"
 ApproxFunSingularities = "0.1.3"
 Calculus = "0.5"
-DomainSets = "0.1"
+DomainSets = "0.1, 0.2"
 DualNumbers = "0.6.2"
 FFTW = "0.3, 1"
 FastTransforms = "0.6, 0.8"
-RecipesBase = "0.7"
+RecipesBase = "0.7, 0.8, 1.0"
 Reexport = "0.2"
 julia = "1"
 

docs/src/index.md

@@ -9,9 +9,9 @@ and for solving differential and integral equations.
 
 A basic approach of computational mathematics that ApproxFun exploits is expansion
 in a basis
-$$
-f(x) \approx \sum_{k=1}^n c_k \psi_k(x)
-$$
+
+$f(x) \approx \sum_{k=1}^n c_k \psi_k(x)$
+
 Some traditional examples of bases $\psi_1(x),\psi_2(x),\ldots$ are
 1. Taylor series: $1,z,z^2,\ldots$
 2. Fourier series (for periodic functions on `0..2π`): $1,\sin x, \cos x, \sin 2 x, \ldots$