Dan Stahlke

Test case (requires also https://github.com/JuliaApproximation/ApproxFunBase.jl/pull/479): using ApproxFun xdom = Chebyshev(-1..1) ydom = Chebyshev(-1..1) domain = xdom * ydom x,y = Fun(identity, domain) Dx = Derivative(Chebyshev()^2, [1,0]) Dy = Derivative(Chebyshev()^2, [0,1])...

Missing root and extra roots

1

Eigen::VectorXd p(6); p

added optimal_coloring

8

Use PicoSAT to find the optimal proper coloring of a graph.

Optimal proper coloring, chromatic number, fractional chromatic number

2

Would you be open to a pull request implementing an algorithm for chromatic number and another for fractional chromatic number? The former uses PicoSAT and the latter would use some...

ArrayStructType

1

This adds packing type ArrayStructType, which is similar to StructType but packs using arrays rather than string maps. This gives more efficient storage, as well as providing interoperability with other...

using MsgPack obj = (1,(2,3)) unpack(pack(obj), typeof(obj)) ERROR: MethodError: Cannot `convert` an object of type Vector{Any} to an object of type Tuple{Int64, Int64}

added nanoGPT

1

Ported Andrej Karpathy's nanoGPT (more or less). This uses Flux.MultiHeadAttention.