
Wirtinger Flow
 Referenced in 110 articles
[sw34175]
 insights for the analysis of nonconvex optimization schemes that may have implications for computational...

CMAES
 Referenced in 124 articles
[sw05063]
 free methods for numerical optimization of nonlinear or nonconvex continuous optimization problems. They...

YALMIP
 Referenced in 1063 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...

RPSALG
 Referenced in 9 articles
[sw12637]
 optimization problems: the first one consists of obtaining an approximate solution of some discretized convex ... second one requires to solve a nonconvex optimization problem involving the parametric constraints...

bilevel
 Referenced in 5 articles
[sw25305]
 optimality conditions. MPCCs are singlelevel nonconvex optimization problems that do not satisfy...

MIForests
 Referenced in 4 articles
[sw22587]
 random variables. These random variables are optimized by training random forests and using a fast ... iterative homotopy method for solving the nonconvex optimization problem. Additionally, most previously proposed...

ALADIN
 Referenced in 1 article
[sw42411]
 opensource MATLAB toolbox for distributed nonconvex optimization. This paper introduces an opensource ... software for distributed and decentralized nonconvex optimization named ALADINα. ALADIN ... convenient for rapid prototyping of nonconvex distributed optimization algorithms. An improved version ... ALADIN is included enabling decentralized nonconvex optimization with reduced information exchange. A collection...

StdPoolingPolyAlgos
 Referenced in 5 articles
[sw34823]
 hard subclass of nonconvex quadraticallyconstrained optimization problems that commonly arises in process systems...

IPBoost
 Referenced in 1 article
[sw38490]
 Convex Boosting via Integer Programming. Recently nonconvex optimization approaches for solving machine learning problems ... attention. In this paper we explore nonconvex boosting in classification by means of integer...

LRIPy
 Referenced in 2 articles
[sw26565]
 Rank Constrained Optimization by LowRank Inducing Norms and NonConvex Proximal Splitting Methods. Python ... rank optimization by LowRank Inducing Norms as well as nonconvex DouglasRachford. Purpose...

ASPIRE
 Referenced in 2 articles
[sw32496]
 science, such as computerized tomography, optimization (convex and nonconvex), random matrix theory, signal...

NCVX
 Referenced in 4 articles
[sw24075]
 from a nonconvex set. The heuristics, which employ convex relaxations, convex restrictions, local neighbour ... solution of a modest number of convex problems, and are meant to apply to general ... solving convex optimization problems. We study several examples of well known nonconvex problems...

libcmaes
 Referenced in 2 articles
[sw28976]
 family for optimization of nonlinear nonconvex ’blackbox’ functions. The implemented algorithms have a wide ... various disciplines, ranging from pure function minimization, optimization in industrial and scientific applications...

pycma
 Referenced in 2 articles
[sw37047]
 stochastic derivativefree numerical optimization algorithm for difficult (nonconvex, illconditioned, multimodal, rugged...

bmrm
 Referenced in 23 articles
[sw11016]
 methods for minimization of convex and nonconvex risk under L1 or L2 regularization. Implements ... linear SVM, multiclass SVM, fbeta optimization, ROC optimization, ordinal regression, quantile regression, epsilon...

LRINorm
 Referenced in 2 articles
[sw26564]
 Rank Constrained Optimization by LowRank Inducing Norms and NonConvex Proximal Splitting Methods...

Muriqui
 Referenced in 2 articles
[sw32925]
 Muriqui Optimizer is a solver of convex Mixed Integer Nonlinear Programming (MINLP) problems. Moreover, Muriqui ... applied to nonconvex problems, without the guarantee of obtaining optimal solution. Muriqui implements...

MIDACO
 Referenced in 5 articles
[sw04775]
 several hundreds to some thousands of optimization variables. MIDACO implements a derivativefree, heuristic algorithm ... contain critical function properties such as nonconvexity, discontinuities or stochastic noise. For cputime...

UniVerMec
 Referenced in 1 article
[sw35265]
 which can handle nonconvex objects. Furthermore, a verified global optimization algorithm is adapted...

PolyMat
 Referenced in 6 articles
[sw40601]
 element. Next, we couple a Discrete Material Optimization interpolation with the existing penalization and introduce ... transition from a convex problem without any penalization to a nonconvex problem in which...