ProxNLP: a primal-dual augmented Lagrangian solver for nonlinear programming in Robotics and beyond.
Wilson JalletAntoine BambadeNicolas MansardJustin CarpentierPublished in: CoRR (2022)
Keyphrases
- nonlinear programming
- primal dual
- augmented lagrangian
- linear programming
- variational inequalities
- linear programming problems
- semidefinite programming
- convex optimization
- duality gap
- optimality conditions
- linear program
- interior point methods
- inequality constraints
- approximation algorithms
- equality constraints
- convergence rate
- simplex method
- feasible solution
- np hard
- optimal solution
- saddle point
- quadratic programming
- column generation
- constrained optimization problems
- image segmentation
- total variation
- optimization problems
- objective function