• SNOPT

  • Referenced in 492 articles [sw02300]
  • scale constrained optimization. Sequential quadratic programming (SQP) methods have proved highly effective for solving constrained ... constraint gradients are sparse. We discuss an SQP algorithm that uses a smooth augmented Lagrangian...
  • SQPlab

  • Referenced in 140 articles [sw05161]
  • optimal control structure. SQP stands for Sequential Quadratic Programming, a method invented ... optimization problem. Each iteration of the SQP algorithm requires finding a solution to a quadratic ... other hand, as a Newton method, the SQP algorithm converges very rapidly, meaning that ... used). Therefore, one can say that the SQP algorithm is an appropriate approach when...
  • NLPQLP

  • Referenced in 38 articles [sw04073]
  • implementation of a sequential quadratic programming (SQP) method. Proceeding from a quadratic approximation ... iterations. All theoretical convergence properties of the SQP algorithm remain satisfied. The Hessian approximation...
  • MISQP

  • Referenced in 11 articles [sw06267]
  • modified sequential quadratic programming (SQP) method. Under the assumption that integer variables have a smooth...
  • OPTIMA

  • Referenced in 10 articles [sw25286]
  • techniques, the steepest descend approach, trust region methods as well as Newton and quasi-Newton ... constrained optimization problems penalty approaches, SQP methods, barrier techniques and interior point methods are discussed...
  • MUSCOP

  • Referenced in 6 articles [sw06143]
  • inexact sequential quadratic programming (SQP) method for inequality constrained problems and provide local convergence theory...
  • e04ucf

  • Referenced in 5 articles [sw30978]
  • constraints) using a sequential quadratic programming (SQP) method. As many first derivatives as possible should...
  • WORHP

  • Referenced in 15 articles [sw10824]
  • sparse sequential quadratic programming (SQP) / interior-point (IP) method; it includes efficient routines for computing...
  • NLPIP

  • Referenced in 2 articles [sw13334]
  • Fortran implementation of an SQP interior point method for solving large-scale nonlinear optimization problems ... underlying algorithm is based on an SQP method where the quadratic subproblem is solved...
  • MPC tools

  • Referenced in 1 article [sw19817]
  • solved using a feasibility-perturbed SQP method in which the quadratic subproblems are solved...
  • DEGEN

  • Referenced in 1 article [sw07626]
  • suitable for convergence of the augmented Lagrangian methods, such as the recently proposed relaxed positive ... SNOPT and filterSQP implementations of the SQP method, to the MINOS implementation of the linearly...
  • AQUARS

  • Referenced in 11 articles [sw07570]
  • compare them with alternative global optimization methods on an 8-dimensional watershed model calibration problem ... coupled with two types of local solvers: SQP and mesh adaptive direct search (MADS) combined ... kriging. The results show that the AQUARS methods generally use fewer function evaluations to identify...
  • PADMOS

  • Referenced in 3 articles [sw13393]
  • steepest descent and BFGS to Newton’s method. PADMOS itself uses trust region approaches including ... tackled by SQP, augmented Lagrange or Robinson-type methods which simplify considerably in case...
  • DASOPT

  • Referenced in 12 articles [sw09260]
  • DASOPT combines the use of efficient numerical methods for solving differential-algebraic equations (DAEs) with ... scale optimization based on sequential quadratic programming (SQP). DASOPT is intended for the computation...
  • pySLEQP

  • Referenced in 1 article [sw17724]
  • nonlinear programming problem. Similar to SQP active set methods, SLEQP methods are iterative Newton-type...
  • TRICE

  • Referenced in 46 articles [sw05197]
  • trust-region interior-point sequential quadratic programming (SQP) algorithms for the solution of a class ... bound constraints by using an affine scaling method proposed, for a different class of problems...
  • GlobiPack

  • Referenced in 0 articles [sw10743]
  • Quasi-Newton optimization and nonlinear equation solver methods. These are standard published 1-D line ... search code is used to globalize SQP methods. This software is generic to any mathematical...
  • ODEm

  • Referenced in 1 article [sw31741]
  • method (IP), active set method (AS), sequential quadratic programming (SQP), Nelder Mead (NM) and also...
  • NDA_PMIN

  • Referenced in 0 articles [sw05072]
  • SQP variable metric method for minimax optimization, linear constraints...
  • NLPQLY

  • Referenced in 0 articles [sw28492]
  • SQP code NLPQLP for solving constrained nonlinear optimization problems. Numerical Method: The Fortran subroutine NLPQLY ... nonlinear programming problems by calling the standard SQP code NLPQLP. The calling sequence is simplified...