v0.10.0

TensorTrains v0.10.0

Main changes:

• Now tensor trains contain a scalar z as a field. When a tensor train is evaluated: f(x) = 1/Z * A1(x1) * A2(X2) * ... * AL(xL)
• Greatly improved robustness wrt numerical under/over flow

Diff since v0.9.1

Merged pull requests:

• Untrack test/Manifest.toml (#33) (@stecrotti)
• [WIP] A bunch of updates to allow for negative-valued tensor trains and improve robustness against under/over flow (#36) (@stecrotti)
• Target "HEAD" for benchmarks (#37) (@stecrotti)
• uniform->flat in docs (#38) (@stecrotti)

Closed issues:

• Numerical under/over flow when normalizing (#31)