Compact quasi-Newton representation

The compact representation for quasi-Newton methods is a matrix decomposition, which is typically used in gradient based optimization algorithms or for solving nonlinear systems. The decomposition uses a low-rank representation for the direct and/or inverse Hessian or the Jacobian of a nonlinear system. Because of this, the compact representation is often used for large problems and constrained optimization.