Lecture Note Upgrades

[arnavs]

Talked with @Nosferican about opening this to track the integrations of the outside code into the lectures. In particular, what we have right now in terms of external code is:

• Econtoolkit/Expectations.jl: Works on 0.7 and 0.6, through Compat. Depends itself on FastGaussQuadrature.jl, which AFAIK has gotten rid of its deprecation warnings.
• mauro3/Parameters.jl: Latest tagged release (0.9.1) supports the @with_kw named tuple generators on v0.7. i.e.,

params = @with_kw (x = 0.5, y = 2, f = x -> x^2)
params() # Returns the named tuple with defaults. 
params(x = 3) # Returns (x = 3, y = 2, f = x -> x^2)
@unpack x, y, f = ... # Will carry out those assignments. 

• JuliaNLsolvers/NLsolve.jl: There is a PR open to incorporate basic fixed-point support (univariate functions, in place or out of place, with gradients computed by autodifferentiation only). Once it's merged, that is good to go.

José can let me know if I missed anything.

[pkofod]

JuliaNLsolvers/NLsolve.jl: There is a PR open to incorporate basic fixed-point support (univariate functions, in place or out of place, with gradients computed by autodifferentiation only). Once it's merged, that is good to go.

this should be merged

[arnavs]

Expectations is also tagged through 1.0

[Nosferican]

Might be nice to follow the new Iterpolations.jl which should be done soon. From what Chris explained, it seemed like a great improvement (going from trapezoid libraries to a function integral approach for greater precision and more efficient).

[pkofod]

done soon

Is this "soon" or soon?

[Nosferican]

By next month I believe. Still, not for now, but for a future re-write.

[arnavs]

Sure, I'll keep an eye on it. It looks like this is the issue to track.