Convex risk minimization via proximal splitting methods

JOURNAL ARTICLE published June 2015 in Optimization Letters

Authors: Radu Ioan Boţ | Christopher Hendrich

FOM – a MATLAB toolbox of first-order methods for solving convex optimization problems

JOURNAL ARTICLE published 2 January 2019 in Optimization Methods and Software

Research funded by Israel Science Foundation (1821/16)

Authors: Amir Beck | Nili Guttmann-Beck

Chapter 5. Using MATLAB optimization toolbox

BOOK CHAPTER published 20 September 2021 in Project Optimization

MATLAB Optimization Toolbox

BOOK CHAPTER published 29 April 2021 in Design Optimization using MATLAB and SOLIDWORKS

Splitting proximal with penalization schemes for additive convex hierarchical minimization problems

JOURNAL ARTICLE published 1 November 2020 in Optimization Methods and Software

Research funded by Thailand Research Fund (RSA5880028)

Authors: Nimit Nimana | Narin Petrot

A proximal partially parallel splitting method for separable convex programs

JOURNAL ARTICLE published 2 January 2017 in Optimization Methods and Software

Research funded by Ministry of Education - Singapore (M4011083) | National Natural Science Foundation of China (11301123,11571087,71471051) | MOE (M4011083) | NSFC (11301123, 71471051, 11571087)

Authors: Kai Wang | Jitamitra Desai | Hongjin He

Optimization Techniques Via The Optimization Toolbox

BOOK CHAPTER published 2014 in MATLAB Optimization Techniques

Authors: César Pérez López

Using SeDuMi 1.02, A Matlab toolbox for optimization over symmetric cones

JOURNAL ARTICLE published January 1999 in Optimization Methods and Software

Authors: Jos F. Sturm

Distributed solutions for loosely coupled feasibility problems using proximal splitting methods

JOURNAL ARTICLE published 2 January 2015 in Optimization Methods and Software

Authors: Sina Khoshfetrat Pakazad | Martin S. Andersen | Anders Hansson

Chapter 3: Using ADMAT with the MATLAB Optimization Toolbox

BOOK CHAPTER published 3 June 2016 in Automatic Differentiation in MATLAB Using ADMAT with Applications

7 Optimierung – Optimization Toolbox

BOOK CHAPTER published 31 December 2014 in MATLAB - Simulink - Stateflow

Global and local uncertainty principles for signals on graphs

JOURNAL ARTICLE published 2018 in APSIPA Transactions on Signal and Information Processing

Authors: Nathanael Perraudin | Benjamin Ricaud | David I Shuman | Pierre Vandergheynst

Optimization

BOOK CHAPTER published 2014 in Numerical Methods using MATLAB

Authors: Abhishek K Gupta

ALADIN‐—An open‐source MATLAB toolbox for distributed non‐convex optimization

JOURNAL ARTICLE published January 2022 in Optimal Control Applications and Methods

Authors: Alexander Engelmann | Yuning Jiang | Henrieke Benner | Ruchuan Ou | Boris Houska | Timm Faulwasser

Fast Robust PCA on Graphs

JOURNAL ARTICLE published June 2016 in IEEE Journal of Selected Topics in Signal Processing

Research funded by SNF (200021 154350/1) | European Research Council (ERC-StG-2011-277906)

Authors: Nauman Shahid | Nathanael Perraudin | Vassilis Kalofolias | Gilles Puy | Pierre Vandergheynst

Chapter 8: Convex Optimization

BOOK CHAPTER published 28 October 2014 in Introduction to Nonlinear Optimization

GpoSolver: a Matlab/C++ toolbox for global polynomial optimization

JOURNAL ARTICLE published 3 March 2016 in Optimization Methods and Software

Research funded by European Commission (FP7-SPACE- 2012-312377)

Authors: Jan Heller | Tomas Pajdla

Proximal-Like Methods for Convex Minimization Problems

BOOK CHAPTER published in Applied Optimization

Authors: Christian Kanzow

Convex Optimization

OTHER published 22 September 2006 in Numerical Methods in Finance and Economics

A proximal gradient splitting method for solving convex vector optimization problems

JOURNAL ARTICLE published 2 January 2022 in Optimization

Research funded by National Science Foundation (DMS – 1816449) | CNPq (312559/2019-4)

Authors: Yunier Bello-Cruz | Jefferson G. Melo | Ray V.G. Serra