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SNOPT
- Referenced in 551 articles
[sw02300]
- SNOPT: An SQP algorithm for large-scale constrained optimization. Sequential quadratic programming (SQP) methods have ... constraint gradients are sparse. We discuss an SQP algorithm that uses a smooth augmented Lagrangian...
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SQPlab
- Referenced in 176 articles
[sw05161]
- modest Matlab implementation of the SQP algorithm for solving constrained optimization problems. The functions defining ... problems with an 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...
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NPSOL
- Referenced in 147 articles
[sw07420]
- size. NPSOL uses a sequential quadratic programming (SQP) algorithm, in which each search direction...
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TRICE
- Referenced in 46 articles
[sw05197]
- Trust-region interior-point SQP algorithms for a class of nonlinear programming problems A family ... trust-region interior-point sequential quadratic programming (SQP) algorithms for the solution of a class...
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CFSQP
- Referenced in 61 articles
[sw04658]
- algorithms based on Sequential Quadratic Programming (SQP), modified so as to generate feasible iterates...
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NLPQLP
- Referenced in 40 articles
[sw04073]
- special 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...
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DFVLR-SQP
- Referenced in 38 articles
[sw36348]
- A software package for sequential quadratic programming. Technical...
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WORHP
- Referenced in 17 articles
[sw10824]
- foundations as a sparse sequential quadratic programming (SQP) / interior-point (IP) method; it includes efficient...
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DASOPT
- Referenced in 14 articles
[sw09260]
- scale optimization based on sequential quadratic programming (SQP). DASOPT is intended for the computation...
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OPTIMA
- Referenced in 14 articles
[sw25286]
- case. For constrained optimization problems penalty approaches, SQP methods, barrier techniques and interior point methods...
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MISQP
- Referenced in 13 articles
[sw06267]
- problems by a modified sequential quadratic programming (SQP) method. Under the assumption that integer variables...
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AQUARS
- Referenced in 12 articles
[sw07570]
- coupled with two types of local solvers: SQP and mesh adaptive direct search (MADS) combined...
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rSQP++
- Referenced in 5 articles
[sw01434]
- currently being developed for successive quadratic programming (SQP). It is designed to support many different ... SQP algorithms and to allow for external configuration of application-specific linear algebra objects such ... possible for a client to modify the SQP algorithms to meet other specialized needs without ... framework or even having to recompile existing SQP algorithms. Much of this is accomplished through...
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HQP/OMUSES
- Referenced in 9 articles
[sw05158]
- using Powell’s or Schittkowski’s SQP with Newton-type barrier QP solver, needs...
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MUSCOP
- Referenced in 7 articles
[sw06143]
- method to an inexact sequential quadratic programming (SQP) method for inequality constrained problems and provide...
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e04ucf
- Referenced in 5 articles
[sw30978]
- nonlinear constraints) using a sequential quadratic programming (SQP) method. As many first derivatives as possible...
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NLPIP
- Referenced in 2 articles
[sw13334]
- NLPIP: a Fortran implementation of an SQP interior point method for solving large-scale nonlinear ... underlying algorithm is based on an SQP method where the quadratic subproblem is solved...
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mixsqp
- Referenced in 2 articles
[sw33926]
- optimization method based on sequential quadratic programming (SQP) for maximum likelihood estimation of the mixture ... large. This implements the ”mix-SQP” algorithm, with some improvements, described...
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SOLNP
- Referenced in 3 articles
[sw05153]
- Matlab-SQP solver, IP solver for QP’s, includes manual...
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PADMOS
- Referenced in 3 articles
[sw13393]
- curvature. Nonlinear constraints can be tackled by SQP, augmented Lagrange or Robinson-type methods which...