A dwindling filter trust region algorithm for nonlinear optimization
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Publication:279130
DOI10.1016/j.amc.2014.04.101zbMath1334.90164OpenAlexW2061726969MaRDI QIDQ279130
Publication date: 27 April 2016
Published in: Applied Mathematics and Computation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.amc.2014.04.101
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Cites Work
- Unnamed Item
- A dwindling filter inexact projected Hessian algorithm for large scale nonlinear constrained optimization
- An SQP-filter method for inequality constrained optimization and its global convergence
- Sequential penalty quadratic programming filter methods for nonlinear programming
- A globally and superlinearly convergent modified SQP-filter method
- A nonmonotone filter trust region method for nonlinear constrained optimization
- Global convergence of a tri-dimensional filter SQP algorithm based on the line search method
- On filter-successive linearization methods for nonlinear semidefinite programming
- More test examples for nonlinear programming codes
- Test examples for nonlinear programming codes
- On the superlinear local convergence of a filter-SQP method
- A non-monotone line search multidimensional filter-SQP method for general nonlinear programming
- A trust region filter method for general non-linear programming
- A nonmonotone SQP-filter method for equality constrained optimization
- A Global Convergence Theory for General Trust-Region-Based Algorithms for Equality Constrained Optimization
- Numerical Optimization
- Trust Region Methods
- 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: Local Convergence
- Global and local convergence of a filter line search method for nonlinear programming
- A dwindling filter line search method for unconstrained optimization
- Benchmarking optimization software with performance profiles.
- Nonlinear programming without a penalty function.
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