Matrix analysis
Least-change secant update methods for undetermined systems
SIAM Journal on Numerical Analysis
A Gauss-Newton method for convex composite optimization
Mathematical Programming: Series A and B
Error bounds in mathematical programming
Mathematical Programming: Series A and B - Special issue: papers from ismp97, the 16th international symposium on mathematical programming, Lausanne EPFL
SIAM Journal on Scientific Computing
Trust-region methods
Test Examples for Nonlinear Programming Codes
Test Examples for Nonlinear Programming Codes
A Trust-Region Approach to Nonlinear Systems of Equalities and Inequalities
SIAM Journal on Optimization
An affine scaling trust-region approach to bound-constrained nonlinear systems
Applied Numerical Mathematics
Regularized Newton Methods for Convex Minimization Problems with Singular Solutions
Computational Optimization and Applications
A Multidimensional Filter Algorithm for Nonlinear Equations and Nonlinear Least-Squares
SIAM Journal on Optimization
Journal of Computational and Applied Mathematics
An interior-point method for solving box-constrained underdetermined nonlinear systems
Journal of Computational and Applied Mathematics
Numerical Methods for Unconstrained Optimization and Nonlinear Equations (Classics in Applied Mathematics, 16)
Subspace Trust-Region Methods for Large Bound-Constrained Nonlinear Equations
SIAM Journal on Numerical Analysis
On Affine-Scaling Interior-Point Newton Methods for Nonlinear Minimization with Bound Constraints
Computational Optimization and Applications
ACM Transactions on Mathematical Software (TOMS)
An interior-point affine-scaling trust-region method for semismooth equations with box constraints
Computational Optimization and Applications
Optimization Methods & Software
A Gauss-Newton method for solving bound-constrained underdetermined nonlinear systems
Optimization Methods & Software - THE JOINT EUROPT-OMS CONFERENCE ON OPTIMIZATION, 4-7 JULY, 2007, PRAGUE, CZECH REPUBLIC, PART II
LION'10 Proceedings of the 4th international conference on Learning and intelligent optimization
TRESNEI, a Matlab trust-region solver for systems of nonlinear equalities and inequalities
Computational Optimization and Applications
Performance evaluation of an IEEE 802.11g mesh network with multiradio nodes
International Journal of Communication Systems
Constrained Dogleg methods for nonlinear systems with simple bounds
Computational Optimization and Applications
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Two trust-region methods for systems of mixed nonlinear equalities, general inequalities and simple bounds are proposed. The first method is based on a Gauss-Newton model, the second one is based on a regularized Gauss-Newton model and results to be a Levenberg-Marquardt method. The globalization strategy uses affine scaling matrices arising in bound-constrained optimization. Global convergence results are established and quadratic rate is achieved under an error bound assumption. The numerical efficiency of the new methods is experimentally studied.