tenGP
tenGP is a software library designed for gradient projection optimization. It provides an implementation of the gradient projection algorithm, a method used to solve constrained optimization problems. The core idea behind gradient projection is to iteratively move in the direction of the negative gradient of the objective function, but if a step would violate the constraints, the projection step moves the solution back onto the feasible set. This makes it suitable for problems where the optimal solution is known to lie within a specific, often convex, region.
The library is typically used in machine learning and other areas where optimization with linear or simple