
LMI toolbox
 Referenced in 1342 articles
[sw06383]
 solvers are significantly faster than classical convex optimization algorithms, it should be kept in mind...

CVX
 Referenced in 596 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...

CPLEX
 Referenced in 2370 articles
[sw04082]
 optimized can be expressed as a linear function or a convex quadratic function. The variables...

UNLocBoX
 Referenced in 231 articles
[sw07521]
 UNLocboX is a matlab convex optimization toolbox part of the UnlocX project. It composed...

Adam
 Referenced in 118 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...

KNITRO
 Referenced in 158 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...

SPG
 Referenced in 70 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...

CMAES
 Referenced in 88 articles
[sw05063]
 optimization of nonlinear or nonconvex continuous optimization problems. They belong to the class...

CVXOPT
 Referenced in 39 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...

ACCPM
 Referenced in 58 articles
[sw06707]
 package for solving large scale convex optimization problems. The code is an implementation...

LINGO
 Referenced in 267 articles
[sw04942]
 Nonlinear (convex & nonconvex/Global), Quadratic, Quadratically Constrained, Second Order Cone, Stochastic, and Integer optimization models faster...

CVXGEN
 Referenced in 33 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...

CVXPY
 Referenced in 25 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...

PolyMesher
 Referenced in 71 articles
[sw13340]
 optimization codes that use linear convex polygons. In topology optimization, polygonal discretizations have been shown...

YALMIP
 Referenced in 800 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...

SLEP
 Referenced in 32 articles
[sw13487]
 1/k2) is optimal for smooth convex optimization via the firstorder blackbox methods...

SONEST
 Referenced in 33 articles
[sw24351]
 algorithms are based on a convex optimization method for estimating the 1norm...

CONEST
 Referenced in 33 articles
[sw24352]
 algorithms are based on a convex optimization method for estimating the 1norm...

iPiasco
 Referenced in 22 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...

AlphaECP
 Referenced in 44 articles
[sw04940]
 problems and global optimal solutions can be ensured for pseudoconvex MINLP problems ... plane method which was originally given for convex NLP problems (Kelley, 1960). The method requires ... problems may be solved to optimality, but can also be solved to feasibility or only ... Pörn R. (2002). Solving PseudoConvex Mixed Integer Optimization Problems by Cutting Plane Techniques. Optimization...