• QDPA

• Referenced in 7 articles [sw12759]
• second-order dynamical systems is presented: the quadratic dominant pole algorithm (QDPA). The algorithm works ... linearization is needed. To improve global convergence, the QDPA uses subspace acceleration, and deflation...
• SDPNAL+

• Referenced in 41 articles [sw13239]
• augmented Lagrangian method coupled with a convergent 3-block alternating direction method of multipliers introduced ... problems arising from the relaxations of quadratic assignment problems tested in SDPNAL to an accuracy...
• QSDPNAL

• Referenced in 25 articles [sw18799]
• Lagrangian method, called QSDPNAL, for solving convex quadratic semidefinite programming (QSDP) problems with constraints consisting ... able to establish the rate of convergence of the proposed algorithm and prove...
• SHOT

• Referenced in 11 articles [sw15630]
• mixed-integer linear programming or mixed-integer quadratic programming subproblems and refines the overestimated ... proven that the ESH algorithm converges to a global optimum for convex MINLP problems...
• SCAFFOLD

• Referenced in 2 articles [sw34100]
• resulting in unstable and slow convergence. As a solution, we propose a new algorithm (SCAFFOLD ... client sampling. Further, we show that (for quadratics) SCAFFOLD can take advantage of similarity ... client’s data yielding even faster convergence. The latter is the first result to quantify...
• blockSQP

• Referenced in 3 articles [sw31780]
• quadratic programming solver qpOASES to solve the quadratic subproblems. Gradients of the objective ... combination of SR1 and BFGS updates. Global convergence is promoted by the filter line search...

• Referenced in 2 articles [sw14753]
• quadratic programs using Dual First Order Optimization Algorithms. The algorithms has predictable and fast convergence...
• SpeeDP

• Referenced in 4 articles [sw07003]
• minimizing a quadratic function subject to separable quadratic equality constraints. We prove the equivalence ... define an efficient and globally convergent algorithm, called SpeeDP, for finding critical points...
• CQP

• Referenced in 5 articles [sw07402]
• following methods for large-scale degenerate convex quadratic programming We consider a class of infeasible ... strict complementarity at a solution. Global convergence and a polynomial bound on the number...
• NOWPAC

• Referenced in 3 articles [sw08491]
• NOWPAC: A provably convergent nonlinear optimizer with path-augmented constraints for noisy regimes. This paper ... constraint-handling scheme based on a quadratic inner boundary path makes the search for feasible ... strictly feasible, and we prove that they converge to a first order critical point...
• MISQPOA

• Referenced in 1 article [sw07024]
• sequential quadratic programming code MISQP stabilized by an outer approximation master program. Convergence...
• NAPHEAP

• Referenced in 9 articles [sw23701]
• problem of minimizing a convex, separable quadratic function subject to a knapsack constraint ... variable fixing algorithm is developed that is convergent even when the objective Hessian...
• iOptimize

• Referenced in 4 articles [sw20377]
• iOptimize maintains global linear and polynomial time convergence properties, while achieving practical performance. It either ... barrier solver version 6.0.0.106), iOptimize solves convex quadratic programming problems, convex quadratically constrained quadratic programming...
• pySLEQP

• Referenced in 1 article [sw17724]
• quadratic programming problem is solved to obtain a step that promotes locally superlinear convergence. This...
• CAE Fidesys

• Referenced in 12 articles [sw32799]
• problem. Effective properties are estimated as a quadratic dependence of the second Piola-Kirchhoff stress ... refine mesh to check solution mesh convergence, as mesh is kept in initial state...
• ELLFF

• Referenced in 4 articles [sw06804]
• average analytic rank of a family of quadratic twists of a fixed elliptic curve ... convincing evidence that the average analytic rank converges to $1/2$, which we also show ... realizing such a curve as a quadratic twist of a pullback of a “versal” elliptic...
• nlpden

• Referenced in 3 articles [sw09371]
• noise model. Our estimator reduces to a quadratic program, and so can be computed efficiently ... consistent, attains a quasi-parametric convergence rate under moment conditions, and is robust to model...
• SpaRSA

• Referenced in 3 articles [sw20467]
• solving an optimization subproblem involving a quadratic term with diagonal Hessian (i.e., separable ... namely convexity of the regularizer), we prove convergence of the proposed iterative algorithm...
• FBstab

• Referenced in 1 article [sw33418]
• method (FBstab); a new algorithm for convex quadratic programming that synergistically combines the proximal point ... positive semidefinite. We outline the algorithm, provide convergence and convergence rate proofs, and report some...
• QPALM

• Referenced in 2 articles [sw35397]
• Quadratic Programs. We propose QPALM, a nonconvex quadratic programming (QP) solver based on the proximal ... valued cost function. Furthermore, we prove global convergence of such iterations to a stationary point...