A simply sequential quadratically constrained quadratic programming method of strongly sub-feasible directions for constrained optimization

DOI10.1080/02331934.2011.611514zbMath1273.90202OpenAlexW2022619808MaRDI QIDQ2841139

Su-Min Yang, Jin-Bao Jian, Chun-Ming Tang

Publication date: 24 July 2013

Published in: Optimization (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02331934.2011.611514

zbMATH Keywords

rate of convergenceglobal convergencesystems of linear equationsstrongly sub-feasible directionssecond-order approximate conditionsequential quadratically constrained quadratic programming

Mathematics Subject Classification ID

Numerical mathematical programming methods (65K05) Nonlinear programming (90C30) Numerical methods based on nonlinear programming (49M37)

Related Items (3)

A method combining norm-relaxed QCQP subproblems with active set identification for inequality constrained optimization ⋮ A sequential quadratic programming algorithm without a penalty function, a filter or a constraint qualification for inequality constrained optimization ⋮ A QP-free algorithm without a penalty function or a filter for nonlinear general-constrained optimization

Uses Software

• Mosek

Cites Work

• A type of efficient feasible SQP algorithms for inequality constrained optimization
• A sequential quadratically constrained quadratic programming method with an augmented Lagrangian line search function
• Sequential quadratically constrained quadratic programming norm-relaxed algorithm of strongly sub-feasible directions
• Norm-relaxed method of feasible directions for solving nonlinear programming problems
• Convergence analysis of norm-relaxed method of feasible directions
• New sequential quadratically-constrained quadratic programming method of feasible directions and its convergence rate
• A method combining norm-relaxed QP subproblems with systems of linear equations for constrained optimization
• A sequential quadratically constrained quadratic programming method of feasible directions
• A new norm-relaxed method of strongly sub-feasible direction for inequality constrained optimization
• A Computationally Efficient Feasible Sequential Quadratic Programming Algorithm
• A surperlinearly convergent algorithm for constrained optimization problems
• A Sequential Quadratically Constrained Quadratic Programming Method for Differentiable Convex Minimization
• Rate of Convergence of a Class of Methods of Feasible Directions
• On the Sequential Quadratically Constrained Quadratic Programming Methods
• A superlinearly convergent method of feasible directions.

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