• 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 first-order gradient-based 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]
• Python-Embedded Modeling Language for Convex Optimization. CVXPY is a domain-specific 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 high-level features of Python such...

• Wirtinger Flow

• Referenced in 94 articles [sw34175]
• insights for the analysis of non-convex 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 mixed-integer programming (MIPs), particular convex mixed integer, nonlinear problems (MINLP). KNITRO ... KNITRO will remain the leader in nonlinear optimization...

• CMA-ES

• Referenced in 114 articles [sw05063]
• optimization of non-linear or non-convex 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 convex-constrained optimization: Fortran 77 software implementing the SPG method ... gradient algorithm for solving large-scale convex-constrained 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 worst-case 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, non-convex semidefinite programming, mixed integer programming, multi-parametric...

• PESTO

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