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Sequential quadratic programming

Known as: SQP 
Sequential quadratic programming (SQP) is an iterative method for nonlinear optimization. SQP methods are used on mathematical problems for which the… 
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Related topics

Related topics

21 relations
Active set methodAugmented Lagrangian methodGNU OctaveInterior point method

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2018
2018
Sequential quadratic programming enhanced backtracking search algorithm
In this paper, we propose a new hybrid method called SQPBSA which combines backtracking search optimization algorithm (BSA) and… 
2010
2010
Efficient trajectory bending with applications to loop closure
In robotic applications the absolute pose is often obtained as the integral of successive relative rigid-body motions. As each… 
Highly Cited
2009
Highly Cited
2009
Differential Evolution with Self-adaptation and Local Search for Constrained Multiobjective Optimization
This paper presents Differential Evolution with Self-adaptation and Local Search for Constrained Multiobjective Optimization… 
2007
2007
Optimal Distribution Generation Sizing via Fast Sequential Quadratic Programming
In this paper a new methodology is proposed to solve the optimal Distributed Generation (DG) sizing problem. The main feature of… 
2006
2006
Second-Order Reliability Formulations in DAKOTA/UQ
Reliability methods are probabilistic algorithms for quantifying the efiect of uncertainties in simulation input on response… 
1999
1999
Sequential quadratic programming methods based on indefinite Hessian approximations
We address the nonlinearly constrained optimization problem: to find a local minimizer for an objective function subject to… 
1999
1999
Interior point SQP strategies for large-scale, structured process optimization problems
1993
1993
Trajectory Optimization Using Sparse Sequential Quadratic Programming
One of the most effective numerical techniques for the solution of trajectory optimization and optimal control problems is the… 
1990
1990
A constrained pseudo-newton control strategy for nonlinear systems
Highly Cited
1987
Highly Cited
1987
A Schur-complement method for sparse quadratic programming
Abstract : In applying active-set methods to sparse quadratic programs, it is desirable to utilize existing sparse-matrix… 
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