Algorithms from circuit theory to predict connectivity in heterogeneous landscapes

Algebraic Multigrid in Julia

Contains a wide-ranging collection of compressed sensing and feature selection algorithms. Examples include matching pursuit algorithms, forward and backward stepwise regression, sparse Bayesian learning, and basis pursuit.

Hierarchical solvers is an approximate sparse direct solver, written entirely in Julia.