On affine-scaling inexact dogleg methods for bound-constrained nonlinear systems
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Publication:2943818
DOI10.1080/10556788.2014.955496zbMath1325.90100OpenAlexW2079471071MaRDI QIDQ2943818
Stefania Bellavia, Sandra Pieraccini
Publication date: 4 September 2015
Published in: Optimization Methods and Software (Search for Journal in Brave)
Full work available at URL: http://porto.polito.it/2521693/1/Bellavia_Pieraccini_porto.pdf
global convergenceinexact Newton methodstrust-region methodsaffine scalingbound-constrained equationsdogleg methods
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Cites Work
- TRESNEI, a MATLAB trust-region solver for systems of nonlinear equalities and inequalities
- On affine-scaling interior-point Newton methods for nonlinear minimization with bound constraints
- Trust-region quadratic methods for nonlinear systems of mixed equalities and inequalities
- An affine-scaling interior-point CBB method for box-constrained optimization
- On the convergence of interior-reflective Newton methods for nonlinear minimization subject to bounds
- Local convergence of the affine-scaling interior-point algorithm for nonlinear programming
- An interior-point method for solving box-constrained underdetermined nonlinear systems
- An interior point potential reduction method for constrained equations
- An affine scaling trust-region approach to bound-constrained nonlinear systems
- STRSCNE: a scaled trust-region solver for constrained nonlinear equations
- Constrained dogleg methods for nonlinear systems with simple bounds
- On the convergence of an inexact Gauss-Newton trust-region method for nonlinear least-squares problems with simple bounds
- Superlinear and quadratic convergence of affine-scaling interior-point Newton methods for problems with simple bounds without strict complementarity assumption
- An interior-point affine-scaling trust-region method for semismooth equations with box constraints
- An affine scaling trust-region algorithm with interior backtracking technique for solving bound-constrained nonlinear systems
- Nonmonotone Trust-Region Methods for Bound-Constrained Semismooth Equations with Applications to Nonlinear Mixed Complementarity Problems
- A trust region method based on a new affine scaling technique for simple bounded optimization
- On the solution of the KKT conditions of generalized Nash equilibrium problems
- Inexact Newton Dogleg Methods
- A Gauss–Newton method for solving bound-constrained underdetermined nonlinear systems
- Tensor Methods for Nonlinear Equations
- Globally Convergent Inexact Newton Methods
- Chemical equilibrium systems as numerical test problems
- A Subspace, Interior, and Conjugate Gradient Method for Large-Scale Bound-Constrained Minimization Problems
- A Reflective Newton Method for Minimizing a Quadratic Function Subject to Bounds on Some of the Variables
- Choosing the Forcing Terms in an Inexact Newton Method
- An Interior Trust Region Approach for Nonlinear Minimization Subject to Bounds
- Optimality Measures for Performance Profiles
- An interior global method for nonlinear systems with simple bounds
- Subspace Trust‐Region Methods for Large Bound‐Constrained Nonlinear Equations
- Benchmarking optimization software with performance profiles.
