• # NEWUOA

• Referenced in 74 articles [sw00618]
• algorithm is iterative, a quadratic model being required at the beginning of each iteration, which ... adjusting the variables. When the quadratic model is revised, the new model interpolates...
• # UOBYQA

• Referenced in 57 articles [sw07576]
• objective function by forming quadratic models by interpolation. Obviously, no first derivatives are required ... variables either by minimizing the quadratic model subject to a trust region bound ... model and also they provide an estimate of the error of the quadratic approximation...
• # CVX

• Referenced in 606 articles [sw04594]
• modeling system for constructing and solving disciplined convex programs (DCPs). CVX supports a number ... standard problem types, including linear and quadratic programs (LPs/QPs), second-order cone programs (SOCPs...
• # LINGO

• Referenced in 271 articles [sw04942]
• nonconvex/Global), Quadratic, Quadratically Constrained, Second Order Cone, Stochastic, and Integer optimization models faster, easier...
• # TRICE

• Referenced in 45 articles [sw05197]
• more stringent, conditions on the quadratic model and on the trial steps, the sequence ... nondegenerate strict local minimizer is $q$-quadratic. The results given here include, as special cases...
• # LYAPACK

• Referenced in 54 articles [sw12624]
• Lyapunov and Riccati Equations, Model Reduction Problems, and Linear–Quadratic Optimal Control Problems Users ’ Guide ... LYAPACK, which also contains implementations of two model reduction methods and modifications of the Newton ... solution of large Riccati equations and linear-quadratic optimal control problems...
• # Gurobi

• Referenced in 422 articles [sw04105]
• quadratic programming solver (MIQP), and mixed-integer quadratically constrained programming solver (MIQCP). The solvers ... range of interfaces, access to industry-standard modeling languages, flexible licensing together with transparent pricing...
• # SNOBFIT

• Referenced in 17 articles [sw05289]
• quadratic programming method based on fitted quadratic models to have good local properties. Various safeguards ... SNOBFIT, one needs the MINQ bound-constrained quadratic programming package...
• # Algorithm 738

• Referenced in 7 articles [sw08077]
• analogous standard method based on a quadratic model. The tensor method bases each iteration ... specially constructed fourth-order model of the objective function not significantly more expensive to form ... store, or solve than the standard quadratic model. In our experience, the tensor method requires ... problems than standard methods based on quadratic models, and also solves a somewhat wider range...

• Referenced in 7 articles [sw11083]
• cquad: Conditional ML for Quadratic Exponential Models for Binary Panel Data. The package estimates ... conditional maximum likelihood, the quadratic exponential model proposed by Bartolucci & Nigro (2010) and a simplified ... modified version of this model. The quadratic exponential model is suitable for the analysis ... pseudo conditional estimator based on the quadratic exponential model, as proposed by Bartolucci & Nigro...
• # Algorithm 739

• Referenced in 4 articles [sw04404]
• analogous standard method based on a quadratic model. The tensor method bases each iteration ... specially constructed fourth-order model of the objective function not significantly more expensive to form ... store, or solve than the standard quadratic model. In our experience, the tensor method requires ... problems than standard methods based on quadratic models, and also solves a somewhat wider range...
• # CGAL

• Referenced in 319 articles [sw00118]
• graphics, scientific visualization, computer aided design and modeling, geographic information systems, molecular biology, medical imaging ... framework and a solver for linear and quadratic programs. It further offers interfaces to third...
• # SINDy

• Referenced in 13 articles [sw30277]
• models. With the goal of low-order models of a fluid flow, we combine this ... regression, e.g. energy-preserving quadratic nonlinearities. The resulting models, hereafter referred to as Galerkin regression...
• # LCOBYQA

• Referenced in 7 articles [sw10964]
• constraints. The algorithm is based on the model of the given function constructed from ... each iteration it constructs a quadratic approximation (model) of the objective function that satisfies interpolation...