Local convergence of a trust-region algorithm with line search filter technique for nonlinear constrained optimization
From MaRDI portal
Publication:668547
DOI10.1016/j.amc.2015.10.060zbMath1410.49036OpenAlexW2204405059MaRDI QIDQ668547
Publication date: 19 March 2019
Published in: Applied Mathematics and Computation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.amc.2015.10.060
Numerical mathematical programming methods (65K05) Nonlinear programming (90C30) Numerical methods based on nonlinear programming (49M37) Methods of successive quadratic programming type (90C55)
Related Items (2)
Global algorithm for a class of multiplicative programs using piecewise linear approximation technique ⋮ Outer space branch and bound algorithm for solving linear multiplicative programming problems
Cites Work
- Unnamed Item
- A nonmonotone filter trust region method for the system of nonlinear equations
- Global convergence of a nonmonotone filter method for equality constrained optimization
- A secant algorithm with line search filter method for nonlinear optimization
- A trust region SQP-filter method for nonlinear second-order cone programming
- A nonmonotone filter method for nonlinear optimization
- A nonmonotone filter trust region method for nonlinear constrained optimization
- Global and local convergence of a nonmonotone trust region algorithm for equality constrained optimization
- More test examples for nonlinear programming codes
- Test examples for nonlinear programming codes
- Global convergence of a general filter algorithm based on an efficiency condition of the step
- An affine scaling interior trust-region method for \(LC^{1}\) minimization subject to bounds on variables
- An affine scaling trust-region algorithm with interior backtracking technique for solving bound-constrained nonlinear systems
- A trust-region algorithm combining line search filter technique for nonlinear constrained optimization
- Global Convergence of Filter Methods for Nonlinear Programming
- A filter-trust-region method for LC 1 unconstrained optimization and its global convergence
- Projected Hessian Updating Algorithms for Nonlinearly Constrained Optimization
- Numerical Optimization
- A Trust Region Interior Point Algorithm for Linearly Constrained 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
- A Filter Method with Unified Step Computation for Nonlinear Optimization
- Line Search Filter Methods for Nonlinear Programming: Motivation and Global Convergence
- Line Search Filter Methods for Nonlinear Programming: Local Convergence
- Nonlinear programming without a penalty function.
This page was built for publication: Local convergence of a trust-region algorithm with line search filter technique for nonlinear constrained optimization
