A penalty-free method with line search for nonlinear equality constrained optimization
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Publication:1792357
DOI10.1016/j.apm.2013.05.037zbMath1427.65093OpenAlexW2058386658MaRDI QIDQ1792357
Publication date: 11 October 2018
Published in: Applied Mathematical Modelling (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.apm.2013.05.037
Numerical mathematical programming methods (65K05) Nonlinear programming (90C30) Methods of successive quadratic programming type (90C55)
Related Items (4)
A sequential quadratic programming algorithm without a penalty function, a filter or a constraint qualification for inequality constrained optimization ⋮ A penalty-free method with superlinear convergence for equality constrained optimization ⋮ On the superlinear local convergence of a penalty-free method for nonlinear semidefinite programming ⋮ A smooth QP-free algorithm without a penalty function or a filter for mathematical programs with complementarity constraints
Uses Software
Cites Work
- Unnamed Item
- A penalty-free method for equality constrained optimization
- Optimization of nonlinear geological structure mapping using hybrid neuro-genetic techniques
- Vendor selection problem by using an interactive fuzzy multi-objective approach with modified S-curve membership functions
- Nonlinear programming without a penalty function or a filter
- Soft-sensing of level of satisfaction in TOC product-mix decision heuristic using robust fuzzy-LP
- On the global convergence of an SLP-filter algorithm that takes EQP steps
- Non-monotone trust region methods for nonlinear equality constrained optimization without a penalty function
- A globally convergent primal-dual interior-point filter method for nonlinear programming
- On the superlinear local convergence of a filter-SQP method
- A penalty-free-type nonmonotone trust-region method for nonlinear constrained optimization
- A Sequential Quadratic Programming Method Without A Penalty Function or a Filter for Nonlinear Equality Constrained Optimization
- Practical Optimization
- Projected Hessian Updating Algorithms for Nonlinearly Constrained Optimization
- Quasi-Newton Methods, Motivation and Theory
- Numerical Optimization
- Trust Region Methods
- A Multidimensional Filter Algorithm for Nonlinear Equations and Nonlinear Least-Squares
- On the Global Convergence of a Filter--SQP Algorithm
- Global Convergence of a Trust-Region SQP-Filter Algorithm for General Nonlinear Programming
- Line Search Filter Methods for Nonlinear Programming: Motivation and Global Convergence
- Line Search Filter Methods for Nonlinear Programming: Local Convergence
- Global and local convergence of a filter line search method for nonlinear programming
- A Filter-Trust-Region Method for Unconstrained Optimization
- Nonlinear programming without a penalty function.
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