• BlockPDPS.jl

• Referenced in 3 articles [sw39173]
• Julia package BlockPDPS.jl: Primal-dual block-proximal splitting for a class of non-convex problems ... refinements of the nonlinear primal-dual proximal splitting method for such problems without the block ... based on the primal-dual proximal splitting method of Chambolle and Pock for convex problems...

• iPiasco

• Referenced in 44 articles [sw13492]
• proximal algorithm for strongly convex optimization. In this paper, we present a forward-backward splitting...

• LRINorm

• Referenced in 2 articles [sw26564]
• Rank Inducing Norms and Non-Convex Proximal Splitting Methods. Low-rank rank inducing norms ... convex Proximal Splitting Algoriths attempt to find exact rank/cardinality-r solutions to minimization problems with convex ... This project provides MATLAB implementations for the proximal mappings of the low-rank inducing Frobenius...

• LRIPy

• Referenced in 2 articles [sw26565]
• Rank Inducing Norms and Non-Convex Proximal Splitting Methods. Python code for Low-rank optimization ... rank inducing norms and non-convex Proximal Splitting Algoriths attempt to find exact rank/cardinality-r solutions ... heuristics. LRIPy provides Python implementations for the proximal mappings of the low-rank inducing Frobenius...

• CCPi-Regularisation

• Referenced in 2 articles [sw37161]
• computed tomographic image reconstruction with proximal splitting algorithms. Iterative reconstruction algorithms are often needed ... plug-and-play fashion into proximal splitting methods for image reconstruction. CCPi-RGL comes with...

• iPiano

• Referenced in 68 articles [sw09623]
• iPiano: inertial proximal algorithm for nonconvex optimization. In this paper we study an algorithm ... function. The algorithm iPiano combines forward-backward splitting with an inertial force...

• PredictPDPS.jl

• Referenced in 1 article [sw39172]
• corresponding predictive online primal-dual proximal splitting method. The video frames now exactly correspond ... predictor for the dual variable based on (proximal) gradient flow. This affects the model that...

• bSDMM

• Referenced in 1 article [sw29720]
• direction method of multipliers: a proximal primal-dual splitting algorithm for nonconvex problems with multiple ... Multipliers (bSDMM) can be interpreted as a proximal analog to inexact coordinate descent methods under...

• ProxSDP

• Referenced in 4 articles [sw41321]
• structure in semidefinite programming by approximate operator splitting. In contrast to many other convex optimization ... this scalability gap by proposing a novel proximal algorithm for solving general semidefinite programming problems ... substantial speedup and allows the operator splitting method to efficiently scale to larger instances...

• SVR-AMA

• Referenced in 1 article [sw29521]
• scheme, previously used in the context of proximal stochastic gradient methods (Prox-SVRG ... proposed algorithm to a specific class of splitting methods, that is, the decomposition along...

• ADOL-C

• Referenced in 257 articles [sw00019]
• ADOL-C: Automatic Differentiation of C/C++. We present...

• AMD

• Referenced in 61 articles [sw00039]
• Algorithm 837: AMD is a set of routines...

• ATLAS

• Referenced in 199 articles [sw00056]
• This paper describes the Automatically Tuned Linear Algebra...

• BPMPD

• Referenced in 41 articles [sw00088]
• BPMPD is a state-of-the-art implementation...

• GAP

• Referenced in 3221 articles [sw00320]
• GAP is a system for computational discrete algebra...

• HSL

• Referenced in 284 articles [sw00418]
• HSL (formerly the Harwell Subroutine Library) is a...

• ISOGAT

• Referenced in 318 articles [sw00457]
• A tutorial 2D MATLAB code for solving elliptic...

• LANCELOT

• Referenced in 310 articles [sw00500]
• LANCELOT. A Fortran package for large-scale nonlinear...

• LAPACK

• Referenced in 1713 articles [sw00503]
• LAPACK is written in Fortran 90 and provides...

• LDL

• Referenced in 19 articles [sw00507]
• Algorithm 849: A concise sparse Cholesky factorization package...