
SNOPT
 Referenced in 503 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 149 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 39 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...

OPTIMA
 Referenced in 13 articles
[sw25286]
 techniques, the steepest descend approach, trust region methods as well as Newton and quasiNewton ... constrained optimization problems penalty approaches, SQP methods, barrier techniques and interior point methods are discussed...

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

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) / interiorpoint (IP) method; it includes efficient routines for computing...

NLPIP
 Referenced in 2 articles
[sw13334]
 Fortran implementation of an SQP interior point method for solving largescale 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 feasibilityperturbed 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 8dimensional 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 Robinsontype methods which simplify considerably in case...

DASOPT
 Referenced in 12 articles
[sw09260]
 DASOPT combines the use of efficient numerical methods for solving differentialalgebraic 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 Newtontype...

TRICE
 Referenced in 46 articles
[sw05197]
 trustregion interiorpoint 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]
 QuasiNewton optimization and nonlinear equation solver methods. These are standard published 1D 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...

mixsqp
 Referenced in 1 article
[sw33926]
 Proportions. Provides an optimization method based on sequential quadratic programming (SQP) for maximum likelihood estimation...

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