Discrete gradients dev

ZeroOp dev

Reduce preadjointing constraints dev

More Instance parametrisation dev

Extra reflexivity and hilbert-like requirements for Euclidean. Fuse Dot into Euclidean. dev

Move origin stuff to AXPY form Euclidean dev

Compositions dev

More convexity, normed spaces, etc. dev

Significantly simplify Mapping / Apply through Instance dev

Convex analysis basics dev

(0) -10 +10 tip

mercurial