
CMAES
 Referenced in 100 articles
[sw05063]
 free methods for numerical optimization of nonlinear or nonconvex continuous optimization problems. They...

YALMIP
 Referenced in 868 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...

MIForests
 Referenced in 6 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...

RPSALG
 Referenced in 5 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 1 article
[sw25305]
 optimality conditions. MPCCs are singlelevel nonconvex optimization problems that do not satisfy...

NCVX
 Referenced in 3 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...

LRIPy
 Referenced in 1 article
[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 1 article
[sw32496]
 science, such as computerized tomography, optimization (convex and nonconvex), random matrix theory, signal...

bmrm
 Referenced in 18 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...

libcmaes
 Referenced in 1 article
[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...

LRINorm
 Referenced in 1 article
[sw26564]
 Rank Constrained Optimization by LowRank Inducing Norms and NonConvex Proximal Splitting Methods...

Muriqui
 Referenced in 1 article
[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...

FLO
 Referenced in 2 articles
[sw12272]
 multiobjective optimization (e.g. concept of EdgeworthPareto efficiency). Solving special classes of nonconvex single...

MIDACO
 Referenced in 3 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...

MISQPOA
 Referenced in 1 article
[sw07024]
 algorithm and to guarantee global optimlity for convex problems. A mixedinteger linear programming master ... determine a lower bound. Afterwards, a nonlinear optimization program is generated to improve the best ... nonconvex and nonrelaxable nonlinear mixedinteger programs, but without guaranteeing global optimality...

LinAIG
 Referenced in 6 articles
[sw10316]
 representation called LinAIGs. LinAIGs represent (possibly nonconvex) polyhedra extended by Boolean variables. Key components ... Satisfiability Modulo Theories) solvers. Constraint minimization optimizes polyhedra by exploiting the fact that states already...

picasso
 Referenced in 4 articles
[sw20406]
 enjoy the superior statistical property of nonconvex penalty such as SCAD and MCP which ... convex penalty such as lasso and ridge. Computation is handled by multistage convex relaxation ... unique sparse local optimum with optimal statistical properties. The computation is memoryoptimized using...

Opytimizer
 Referenced in 1 article
[sw31846]
 control engineering, among others. Nevertheless, traditional iterative optimization methods use the evaluation of gradients ... computational burden and when working with nonconvex functions. Recent biologicalinspired methods, known ... though they do not guarantee to find optimal solutions, they usually find a suitable solution...

2Phase NSGA II
 Referenced in 2 articles
[sw28524]
 risk measurements algorithm in portfolio optimization. Portfolio optimization is a serious challenge for financial engineering ... world that ultimately lead to a nonconvex search space such as cardinality constraint ... paper, a new efficient multiobjective portfolio optimization algorithm called 2phase NSGA II algorithm...

ConRad
 Referenced in 2 articles
[sw30420]
 convex optimization approach to radiation treatment planning with dose constraints. We present a method ... handling dose constraints as part of a convex programming framework for inverse treatment planning ... part of a convex formulation. Since dosevolume constraints are nonconvex, we replace them...