ALADIN-alpha is a rapid-prototyping toolbox for distributed and decentralized non-convex optimization. ALADIN-alpha implements the Augmented Lagrangian Alternating Direction Inexact Newton (ALADIN) algorithm and the Alternating Direction of Multipliers Method (ADMM) with a unified interface. Moreover, bi-level ALADIN is included in ALADIN-alpha allowing for decentralized non-convex optimization. Application examples from various fields highlight the broad applicability of ALADIN-alpha. A documentation can be found here.
- Download ALADIN-M and add the
\srcfolder to you MATLAB path. - Run
\exampels\main_example.m.
ALADIN-alpha
- supports general partially separable NLPs;
- comes with a bi-level ALADIN extension enabling decentralizes optimization;
- provides a unified interface for ALADIN and ADMM and a centralized solver for direct comparison;
- supports parallel computing;
- comes with a rich set of examples from power systems, estimation and control.
ALADIN-alpha requires
- CasADi optimization and automatic differentiation;
- the MATLAB parallel computing toolbox for parallel computin (if needed);
- the MATLAB symbolic math toolbox (only for some examples).