• CPLEX

  • Referenced in 2538 articles [sw04082]
  • function or a convex quadratic function. The variables in the model may be declared...
  • CVX

  • Referenced in 679 articles [sw04594]
  • modeling system for constructing and solving disciplined convex programs (DCPs). CVX supports a number...
  • TFOCS

  • Referenced in 116 articles [sw12839]
  • customized solvers for a variety of convex models, including in particular those employed in sparse...
  • LINGO

  • Referenced in 292 articles [sw04942]
  • Nonlinear (convex & nonconvex/Global), Quadratic, Quadratically Constrained, Second Order Cone, Stochastic, and Integer optimization models faster...
  • CVXPY

  • Referenced in 37 articles [sw13968]
  • CVXPY: A Python-Embedded Modeling Language for Convex Optimization. CVXPY is a domain-specific language...
  • CGAL

  • Referenced in 348 articles [sw00118]
  • graphics, scientific visualization, computer aided design and modeling, geographic information systems, molecular biology, medical imaging ... approximation of ridges and umbilics), alpha shapes, convex hull algorithms...
  • sparsenet

  • Referenced in 73 articles [sw19133]
  • problem of sparse selection in linear models. A number of nonconvex penalties have been proposed ... this purpose, along with a variety of convex-relaxation algorithms for finding good solutions...
  • CHull

  • Referenced in 8 articles [sw20059]
  • boundary of the convex hull and selects an optimal model by means ... used interactively) and the models on the boundary of the convex hull are indicated. This...
  • CVXR

  • Referenced in 7 articles [sw22020]
  • that provides an object-oriented modeling language for convex optimization, similar to CVX, CVXPY, YALMIP ... programming (DCP) to verify the problem’s convexity. Once verified, the problem is converted into ... ECOS or SCS. We demonstrate CVXR’s modeling framework with several applications...
  • Wirtinger Flow

  • Referenced in 68 articles [sw34175]
  • linear system). This paper develops a non-convex formulation of the phase retrieval problem ... linear time algorithm for a physically realizable model based on coded diffraction patterns. We illustrate ... insights for the analysis of non-convex optimization schemes that may have implications for computational...
  • pottslab

  • Referenced in 11 articles [sw14425]
  • Potts or piecewise constant Mumford-Shah model. For vector-valued images, our approach is significantly ... graph cuts and convex relaxations of the Potts model which are presently the state ... with that of graph cuts and the convex relaxation strategies, and we do not need...
  • TPtool

  • Referenced in 6 articles [sw11769]
  • context. Using the TP model transformation, different optimization and convexity constraints can be considered ... amount of time (irrespective of whether the model is given in the form of analytical ... tensors. Secondly, the TP model transformation generates various convex polytopic forms, upon which LMI (Linear ... MATLAB Toolbox that implements the Tensor Product Model Transformation based Control Design framework...
  • QICD

  • Referenced in 10 articles [sw19679]
  • Estimate the Coefficients for Non-Convex Penalized Quantile Regression Model by using QICD Algorithm. Extremely...
  • picasso

  • Referenced in 4 articles [sw20406]
  • efficient tools for fitting generalized linear model with convex or non-convex penalty. Users...
  • hglasso

  • Referenced in 10 articles [sw11202]
  • problem of learning a high-dimensional graphical model in which there ... realistic networks with hub nodes, using a convex formulation that involves a row-column overlap ... framework to three widely- used probabilistic graphical models: the Gaussian graphical model, the covariance graph ... model. An alternating direction method of multipliers algorithm is used to solve the corresponding convex...
  • constrKriging

  • Referenced in 3 articles [sw23490]
  • constraints such as boundedness, monotonicity and convexity. Kriging model is similar to DiceKriging...
  • LINDOGlobal

  • Referenced in 47 articles [sw06196]
  • break an nonlinearly constrained optimization problem model down into a list of subproblems. Each subproblem ... because the subproblem is shown to be convex, or c) the subproblem is further split...
  • qpOASES

  • Referenced in 64 articles [sw05107]
  • features that make it particularly suited for model predictive control (MPC) applications. The software package ... solving semi-definite, ill-posed or degenerated convex...
  • DEDALE

  • Referenced in 10 articles [sw17368]
  • classical constraint model, spatial data is always decomposed into its convex components, in DEDALE holes ... uniform fashion. This new data model supports declarative query languages, which allow an intuitive...
  • Couenne

  • Referenced in 62 articles [sw04347]
  • using mixed integer non-linear programming (MINLP) models and can be solved by spatial Branch ... developed an sBB software package named couenne (Convex Over- and Under-ENvelopes for Non-linear...