Exact penalty functions in constrained optimization
SIAM Journal on Control and Optimization
SIAM Journal on Control and Optimization
Computational schemes for large-scale problems in extended linear-quadratic programming
Mathematical Programming: Series A and B
On concepts of directional differentiability
Journal of Optimization Theory and Applications
A nonsmooth version of Newton's method
Mathematical Programming: Series A and B
Superlinearly convergent approximate Newton methods for LC1 optimization problems
Mathematical Programming: Series A and B
A Shifted-Barrier Primal-Dual Algorithm Model for Linearly ConstrainedOptimization Problems
Computational Optimization and Applications - Special issue on computational optimization—a tribute to Olvi Mangasarian, part I
Globally and superlinearly convergent QP-free algorithm for nonlinear constrained optimization
Journal of Optimization Theory and Applications
A Globally and Superlinearly Convergent SQP Algorithm for Nonlinear Constrained Optimization
Journal of Global Optimization
Merit Functions for Complementarity and Related Problems: A Survey
Computational Optimization and Applications
An Exact Augmented Lagrangian Function for Nonlinear Programming with Two-Sided Constraints
Computational Optimization and Applications
Computational Optimization and Applications
A Feature Selection Newton Method for Support Vector Machine Classification
Computational Optimization and Applications
Multicategory Proximal Support Vector Machine Classifiers
Machine Learning
Journal of Computational and Applied Mathematics
Exact 1-Norm Support Vector Machines Via Unconstrained Convex Differentiable Minimization
The Journal of Machine Learning Research
Chunking for massive nonlinear kernel classification
Optimization Methods & Software
Journal of Computational and Applied Mathematics
A truncated Newton method in an augmented Lagrangian framework for nonlinear programming
Computational Optimization and Applications
A Newton-CG Augmented Lagrangian Method for Semidefinite Programming
SIAM Journal on Optimization
SIAM Journal on Optimization
Newton-type methods for stochastic programming
Mathematical and Computer Modelling: An International Journal
The SC1 property of an expected residual function arising from stochastic complementarity problems
Operations Research Letters
An improved infeasible SSLE method for constrained optimization without strict complementarity
Computers and Operations Research
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We consider the unconstrained minimization of a continuously differentiable function with semismooth gradient by line search methods; in particular we focus on the problem of the acceptance of the unit stepsize. We show that, under mild conditions, if the full search direction brings superlinear convergence, then the unit stepsize is eventually accepted so that the Maratos effect does not occur. The relevance to this issue of a generalization of the classical second-order sufficient condition for optimality is pointed out.