• QuadProgBB

  • Referenced in 41 articles [sw13485]
  • QuadProgBB: Globally solving nonconvex quadratic programming...
  • SQPlab

  • Referenced in 179 articles [sw05161]
  • defining the problem can be nonlinear and nonconvex, but must be differentiable. A particular attention ... control structure. SQP stands for Sequential Quadratic Programming, a method invented in the mid-seventies ... requires finding a solution to a quadratic program (QP). This is a simpler optimization problem ... hard when the quadratic objective is nonconvex. On the other hand, as a Newton method...
  • KNITRO

  • Referenced in 197 articles [sw00490]
  • nonlinear smooth optimization problems, both convex and nonconvex. It is also effective for nonlinear regression ... constraints (MPCCs or MPECs), and mixed-integer programming (MIPs), particular convex mixed integer, nonlinear problems...
  • QPA

  • Referenced in 20 articles [sw04296]
  • working-set method for large-scale nonconvex quadratic programming We consider a working-set method...
  • QPALM

  • Referenced in 6 articles [sw35397]
  • Proximal Augmented Lagrangian Method for Nonconvex Quadratic Programs. We propose QPALM, a nonconvex quadratic programming ... specific case of a (possibly nonconvex) QP. The QPALM algorithm solves the subproblems iteratively using...
  • ANTIGONE

  • Referenced in 101 articles [sw09241]
  • Mixed-Integer Quadratic Optimizer, GloMIQO, to general nonconvex terms. The purpose of this paper ... previously-proposed mixed-integer quadratically-constrained quadratic program and mixed-integer signomial optimization computational frameworks...
  • quadprogIP

  • Referenced in 7 articles [sw36327]
  • Globally solving nonconvex quadratic programs via linear integer programming techniques . We reformulate a (indefinite) quadratic ... program (QP) as a mixed-integer linear programming (MILP) problem by first reformulating ... globally) optimal primal solutions. Reformulating a nonconvex QP as a MILP problem allows...
  • FORCES NLP

  • Referenced in 4 articles [sw41780]
  • interior-point methods for multistage nonlinear nonconvex programs. Real-time implementation of optimisation-based control...
  • Juniper

  • Referenced in 4 articles [sw26689]
  • bound solver in Julia. Nonconvex mixed-integer nonlinear programs (MINLPs) represent a challenging class ... engineering and scientific applications. Because of nonconvexities, these programs are typically solved with global optimization ... finding high-quality solutions to large-scale nonconvex MINLPs, such as those arising in infrastructure ... bound. Leveraging the high-level Julia programming language makes it easy to modify {sc Juniper...
  • MuShROOM

  • Referenced in 15 articles [sw12000]
  • obtained nonlinear programs are treated as mathematical programs with vanishing constraints. The author develops ... describes new tools for solving the arising nonconvex quadratic subproblems such as a new parametric...
  • qpHPSC

  • Referenced in 15 articles [sw12001]
  • obtained nonlinear programs are treated as mathematical programs with vanishing constraints. The author develops ... describes new tools for solving the arising nonconvex quadratic subproblems such as a new parametric...
  • MISQP

  • Referenced in 13 articles [sw06267]
  • programming problems by a modified sequential quadratic programming (SQP) method. Under the assumption that integer ... points. The code is applicable also to nonconvex optimization problems...
  • QCQP

  • Referenced in 5 articles [sw27001]
  • package for modeling and nonconvex solving quadratically constrained quadratic programs (QCQPs) using relaxations and local...
  • DCCP

  • Referenced in 3 articles [sw14722]
  • Convex-concave programming is an organized heuristic for solving nonconvex problems that involve objective ... over previously published work on convex-concave programming, specifically the handling of domains...
  • blockSQP

  • Referenced in 3 articles [sw31780]
  • sequential quadratic programming method for finding local solutions of nonlinear, nonconvex optimization problems ... blockSQP has been developed around the quadratic programming solver qpOASES to solve the quadratic subproblems...
  • LPCCbnc

  • Referenced in 5 articles [sw31750]
  • including bilevel programs, Stackelberg games, inverse quadratic programs, and problems involving equilibrium constraints. The presence ... complementarity constraints results in a nonconvex optimization problem. We develop a branch-and-cut algorithm ... strong alternative to constructing an integer programming formulation using big-(M) terms to represent bounds...
  • MUSCOP

  • Referenced in 7 articles [sw06143]
  • solution of the occurring large-scale quadratic programming problems (QPs) we develop a structure exploiting ... efficient solver for the resulting, possibly nonconvex QP. Furthermore we construct three illustrative, counter-intuitive ... multiple shooting structure, and a hybrid language programming paradigm to minimize setup and solution time...
  • OpEn

  • Referenced in 1 article [sw41781]
  • convergence properties that allow the solution of nonconvex problems on embedded devices. OpEn’s core ... performance, memory-safe and thread-safe systems programming language - while users can call it from...
  • NetSpeak

  • Referenced in 2 articles [sw01566]
  • language used to specify, solve, and analyze nonconvex (or linear) minimum cost network flow problems ... language, which features flexible input/output, robust program control, and intuitive commands, is being developed...
  • DeCODe

  • Referenced in 2 articles [sw32103]
  • generating high-quality decompositions of optimization problems. Nonconvex optimization problems, such as those often seen ... design problem and two mixed integer nonlinear program test problems...