POGS (Proximal Operator Graph Solver) is a solver for convex optimization problems in graph form using Alternating Direction Method of Multipliers (ADMM).
Keywords for this software
References in zbMATH (referenced in 11 articles , 1 standard article )
Showing results 1 to 11 of 11.
- O’Donoghue, Brendan: Operator splitting for a homogeneous embedding of the linear complementarity problem (2021)
- Planiden, C.: Conditions for the existence, identification and calculus rules of the threshold of prox-boundedness (2021)
- Fu, Anqi; Zhang, Junzi; Boyd, Stephen: Anderson accelerated Douglas-Rachford splitting (2020)
- Stellato, Bartolomeo; Banjac, Goran; Goulart, Paul; Bemporad, Alberto; Boyd, Stephen: OSQP: an operator splitting solver for quadratic programs (2020)
- Yen, Tso-Jung: Solving fused penalty estimation problems via block splitting algorithms (2020)
- Ungun, Baris; Xing, Lei; Boyd, Stephen: Real-time radiation treatment planning with optimality guarantees via cluster and bound methods (2019)
- Fougner, Christopher; Boyd, Stephen: Parameter selection and preconditioning for a graph form solver (2018)
- Wang, Yamin; Wu, Lei; Li, Jie: A fully distributed asynchronous approach for multi-area coordinated network-constrained unit commitment (2018)
- Diamond, Steven; Boyd, Stephen: Stochastic matrix-free equilibration (2017)
- Diamond, Steven; Boyd, Stephen: Matrix-free convex optimization modeling (2016)
- Parikh, Neal; Boyd, Stephen: Block splitting for distributed optimization (2014)