23 results on '"Ribeiro, Ademir A."'
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2. Theoretical analysis of classic and capacity constrained fuzzy clustering
3. A Comparative Study of Sequential Optimality Conditions for Mathematical Programs with Cardinality Constraints
4. On the Weak Stationarity Conditions for Mathematical Programs with Cardinality Constraints: A Unified Approach
5. On strong second-order necessary optimality conditions under relaxed constant rank constraint qualification.
6. The complexity of primal-dual fixed point methods for ridge regression
7. On the approximate solutions of augmented subproblems within sequential methods for nonlinear programming
8. A new class of root-finding methods in Rn: the inexact tensor-free Chebyshev–Halley class
9. A new accelerated algorithm for ill-conditioned ridge regression problems
10. On the augmented subproblems within sequential methods for nonlinear programming
11. On strong second-order optimality conditions under relaxed constant rank constraint qualification
12. Global convergence of a general filter algorithm based on an efficiency condition of the step
13. How to correctly answer 'Is the optimal critical point a local minimizer?' in Calculus courses.
14. A sequential optimality condition for Mathematical Programs with Cardinality Constraints
15. Global convergence of slanting filter methods for nonlinear programming
16. Numerical comparison of merit function with filter criterion in inexact restoration algorithms using hard-spheres problems
17. A bundle-filter method for nonsmooth convex constrained optimization
18. On the convergence of augmented Lagrangian strategies for nonlinear programming.
19. On the optimal separating hyperplane for arbitrary sets: a generalization of the SVM formulation and a convex hull approach.
20. Calculus, constrained minimization and Lagrange multipliers: Is the optimal critical point a local minimizer?
21. Fenchel–Moreau conjugation for lower semi-continuous functions.
22. Local convergence of filter methods for equality constrained non-linear programming.
23. GLOBAL CONVERGENCE OF FILTER METHODS FOR NONLINEAR PROGRAMMING.
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