'order' is now a tuple, not a 1d array

Author: RJDennis

Project.toml

@@ -1,7 +1,7 @@
 name = "ChebyshevApprox"
 uuid = "17a596ad-87cd-578c-9b6d-01108c31dc04"
 authors = ["Richard Dennis <richard.dennis@glasgow.ac.uk>"]
-version = "0.1.15"
+version = "0.2.0"
 
 [deps]
 LinearAlgebra = "37e2e46d-f89d-539d-b4ee-838fcccc9c8e"

README.md

@@ -316,7 +316,19 @@ w = chebyshev_weights_extended_threaded(y,nodes,order,domain)
 w = chebyshev_weights_vertesi_threaded(y,nodes,order,domain)
 ```
 
-What if I want to use my own set of nodes?
-------------------------------------------
+Related packages
+----------------
 
-You can.  The routines used for Chebyshev-extended-nodes and Vertesi-nodes are general, so applying the functions for these node-cases to your own set of nodes should work.
+If you are looking to approximate a function of one variable, then there is:
+
+- ApproxFun.jl
+
+For multivariate functions, there is:
+
+- SmolyakApprox.jl
+- HyperbolicCrossApprox.jl
+- PiecewiseLinearApprox.jl
+
+Finally, if you are approximating complex-valued multivariate functions, then a package insipired by ChebyshevApprox.jl and offering similar functionality is:
+
+- FastChebInterp.jl