An augmented Lagrangian trust region method for equality constrained optimization
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Publication:2943835
DOI10.1080/10556788.2014.940947zbMath1325.90091OpenAlexW2015060724MaRDI QIDQ2943835
Publication date: 4 September 2015
Published in: Optimization Methods and Software (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/10556788.2014.940947
convergenceLagrange multiplierequality constraintspenalty parameteraugmented Lagrangian functiontrust region
Related Items (9)
A penalty method with trust-region mechanism for nonlinear bilevel optimization problem ⋮ An augmented Lagrangian affine scaling method for nonlinear programming ⋮ A stochastic primal-dual method for a class of nonconvex constrained optimization ⋮ A subspace version of the Wang-Yuan augmented Lagrangian-trust region method for equality constrained optimization ⋮ Relaxed constant positive linear dependence constraint qualification and its application to bilevel programs ⋮ Unnamed Item ⋮ An active-set algorithm and a trust-region approach in constrained minimax problem ⋮ A new augmented Lagrangian method for equality constrained optimization with simple unconstrained subproblem ⋮ Recent advances in trust region algorithms
Uses Software
Cites Work
- An adaptive augmented Lagrangian method for large-scale constrained optimization
- A relaxed constant positive linear dependence constraint qualification and applications
- Approximate solution of the trust region problem by minimization over two-dimensional subspaces
- A trust region algorithm for equality constrained optimization
- On the truncated conjugate gradient method
- On the relation between constant positive linear dependence condition and quasinormality constraint qualification
- On the convergence of a new trust region algorithm
- Augmented Lagrangian methods under the constant positive linear dependence constraint qualification
- Multiplier and gradient methods
- The multiplier method of Hestenes and Powell applied to convex programming
- Minimizing a Quadratic Over a Sphere
- A First-Order Augmented Lagrangian Method for Compressed Sensing
- A Newton-CG Augmented Lagrangian Method for Semidefinite Programming
- A Globally Convergent Augmented Lagrangian Algorithm for Optimization with General Constraints and Simple Bounds
- Computing a Trust Region Step
- Semi-monotonic inexact augmented Lagrangians for quadratic programing with equality constraints
- On Augmented Lagrangian Methods with General Lower-Level Constraints
- A Trust Region Algorithm for Nonlinearly Constrained Optimization
- Superlinearly convergent variable metric algorithms for general nonlinear programming problems
- Algorithms for nonlinear constraints that use lagrangian functions
- Augmented Lagrangians with Adaptive Precision Control for Quadratic Programming with Simple Bounds and Equality Constraints
- Trust Region Methods
- On the Constant Positive Linear Dependence Condition and Its Application to SQP Methods
- Global convergence of SSM for minimizing a quadratic over a sphere
- CUTEr and SifDec
- Benchmarking optimization software with performance profiles.
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