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Wirtinger Flow
- Referenced in 110 articles
[sw34175]
- insights for the analysis of non-convex optimization schemes that may have implications for computational...
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CMA-ES
- Referenced in 124 articles
[sw05063]
- free methods for numerical optimization of non-linear or non-convex continuous optimization problems. They...
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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, non-convex semidefinite programming, mixed integer programming, multi-parametric...
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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 non-convex optimization problem involving the parametric constraints...
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bilevel
- Referenced in 5 articles
[sw25305]
- optimality conditions. MPCCs are single-level non-convex optimization problems that do not satisfy...
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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 non-convex optimization problem. Additionally, most previously proposed...
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ALADIN
- Referenced in 1 article
[sw42411]
- open-source MATLAB toolbox for distributed non-convex optimization. This paper introduces an open-source ... software for distributed and decentralized non-convex optimization named ALADIN-α. ALADIN ... convenient for rapid prototyping of non-convex distributed optimization algorithms. An improved version ... ALADIN is included enabling decentralized non-convex optimization with reduced information exchange. A collection...
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StdPooling-PolyAlgos
- Referenced in 5 articles
[sw34823]
- hard subclass of non-convex quadratically-constrained optimization problems that commonly arises in process systems...
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IPBoost
- Referenced in 1 article
[sw38490]
- Convex Boosting via Integer Programming. Recently non-convex optimization approaches for solving machine learning problems ... attention. In this paper we explore non-convex boosting in classification by means of integer...
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LRIPy
- Referenced in 2 articles
[sw26565]
- Rank Constrained Optimization by Low-Rank Inducing Norms and Non-Convex Proximal Splitting Methods. Python ... rank optimization by Low-Rank Inducing Norms as well as non-convex Douglas-Rachford. Purpose...
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ASPIRE
- Referenced in 2 articles
[sw32496]
- science, such as computerized tomography, optimization (convex and non-convex), random matrix theory, signal...
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NCVX
- Referenced in 4 articles
[sw24075]
- from a non-convex 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 non-convex problems...
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libcmaes
- Referenced in 2 articles
[sw28976]
- family for optimization of nonlinear non-convex ’blackbox’ functions. The implemented algorithms have a wide ... various disciplines, ranging from pure function minimization, optimization in industrial and scientific applications...
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pycma
- Referenced in 2 articles
[sw37047]
- stochastic derivative-free numerical optimization algorithm for difficult (non-convex, ill-conditioned, multi-modal, rugged...
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bmrm
- Referenced in 23 articles
[sw11016]
- methods for minimization of convex and non-convex risk under L1 or L2 regularization. Implements ... linear SVM, multi-class SVM, f-beta optimization, ROC optimization, ordinal regression, quantile regression, epsilon...
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LRINorm
- Referenced in 2 articles
[sw26564]
- Rank Constrained Optimization by Low-Rank Inducing Norms and Non-Convex Proximal Splitting Methods...
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Muriqui
- Referenced in 2 articles
[sw32925]
- Muriqui Optimizer is a solver of convex Mixed Integer Nonlinear Programming (MINLP) problems. Moreover, Muriqui ... applied to non-convex problems, without the guarantee of obtaining optimal solution. Muriqui implements...
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MIDACO
- Referenced in 5 articles
[sw04775]
- several hundreds to some thousands of optimization variables. MIDACO implements a derivative-free, heuristic algorithm ... contain critical function properties such as non-convexity, discontinuities or stochastic noise. For cpu-time...
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UniVerMec
- Referenced in 1 article
[sw35265]
- which can handle non-convex objects. Furthermore, a verified global optimization algorithm is adapted...
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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 non-convex problem in which...