
LMI toolbox
 Referenced in 1445 articles
[sw06383]
 solvers are significantly faster than classical convex optimization algorithms, it should be kept in mind...

CVX
 Referenced in 778 articles
[sw04594]
 also solve much more complex convex optimization problems, including many involving nondifferentiable functions, such ... entropy maximization, determinant maximization, and many other convex programs. As of version 2.0, CVX also...

Adam
 Referenced in 567 articles
[sw22205]
 algorithm for firstorder gradientbased optimization of stochastic objective functions, based on adaptive estimates ... best known results under the online convex optimization framework. Empirical results demonstrate that Adam works...

CPLEX
 Referenced in 2676 articles
[sw04082]
 optimized can be expressed as a linear function or a convex quadratic function. The variables...

UNLocBoX
 Referenced in 307 articles
[sw07521]
 UNLocboX is a matlab convex optimization toolbox part of the UnlocX project. It composed...

PhaseLift
 Referenced in 201 articles
[sw31783]
 diffracted patterns by solving a simple convex optimization problem inspired by the recent literature...

CVXOPT
 Referenced in 62 articles
[sw04321]
 CVXOPT; Python Software for Convex Optimization. CVXOPT is a free software package for convex optimization ... make the development of software for convex optimization applications straightforward by building on Python...

CVXPY
 Referenced in 57 articles
[sw13968]
 PythonEmbedded Modeling Language for Convex Optimization. CVXPY is a domainspecific language for convex ... allows the user to express convex optimization problems in a natural syntax that follows ... CVXPY makes it easy to combine convex optimization with highlevel features of Python such...

Wirtinger Flow
 Referenced in 94 articles
[sw34175]
 insights for the analysis of nonconvex optimization schemes that may have implications for computational...

KNITRO
 Referenced in 190 articles
[sw00490]
 linear, quadratic, and nonlinear smooth optimization problems, both convex and nonconvex. It is also effective ... MPECs), and mixedinteger programming (MIPs), particular convex mixed integer, nonlinear problems (MINLP). KNITRO ... KNITRO will remain the leader in nonlinear optimization...

CMAES
 Referenced in 114 articles
[sw05063]
 optimization of nonlinear or nonconvex continuous optimization problems. They belong to the class...

PolyMesher
 Referenced in 134 articles
[sw13340]
 optimization codes that use linear convex polygons. In topology optimization, polygonal discretizations have been shown...

SPG
 Referenced in 74 articles
[sw00897]
 Algorithm 813: SPG  software for convexconstrained optimization: Fortran 77 software implementing the SPG method ... gradient algorithm for solving largescale convexconstrained optimization problems. It combines the classical projected...

ACCPM
 Referenced in 59 articles
[sw06707]
 package for solving large scale convex optimization problems. The code is an implementation...

CVXGEN
 Referenced in 40 articles
[sw07151]
 CVXGEN: a code generator for embedded convex optimization. CVXGEN is a software tool that takes ... high level description of a convex optimization problem family, and automatically generates custom C code ... families that can be transformed, using disciplined convex programming techniques, to convex quadratic programs...

LINGO
 Referenced in 310 articles
[sw04942]
 Nonlinear (convex & nonconvex/Global), Quadratic, Quadratically Constrained, Second Order Cone, Stochastic, and Integer optimization models faster...

LPbook
 Referenced in 50 articles
[sw31782]
 constrained optimization, beginning with a substantial treatment of linear programming, and proceeding to convex analysis ... flows, integer programming, quadratic programming, and convex optimization. The book is carefully written. Specific examples...

iPiasco
 Referenced in 34 articles
[sw13492]
 iPiasco: inertial proximal algorithm for strongly convex optimization. In this paper, we present a forward ... inertial term for solving a strongly convex optimization problem of a certain type. The strongly ... smooth convex and a smooth convex function. This additional knowledge is used for deriving ... provably optimal worstcase rate of convergence for smooth strongly convex functions. We demonstrate...

YALMIP
 Referenced in 976 articles
[sw04595]
 free MATLAB toolbox for rapid prototyping of optimization problems. The package initially aimed ... second order cone programming, semidefinite programming, nonconvex semidefinite programming, mixed integer programming, multiparametric...

PESTO
 Referenced in 33 articles
[sw20864]
 firstorder methods for composite convex optimization. We provide a framework for computing the exact ... based firstorder methods for composite convex optimization, including those performing explicit, projected, proximal, conditional ... worstcase guarantees and explicit instances of optimization problems on which the algorithm reaches this ... worstcase to solving a convex semidefinite program, generalizing previous works on performance estimation...