Martínez, José Mario - Instituto de Matemática, Estatística e Computação Científica, Universidade Estadual de Campinas

• Low Order-Value Approach for Solving VaR-Constrained Optimization Problems
• Inexact Restoration method for minimization problems arising in electronic structure calculations
• Partial Spectral Projected Gradient Method with Active-Set Strategy for Linearly Constrained Optimization
• Generalized Order-Value Optimization Jose Mario Martinez
• OTIMIZAO PRTICA USANDO O LAGRANGIANO AUMENTADO
• Improving ultimate convergence of an Augmented Lagrangian method
• Estimation of the optical constants and the thickness of thin lms using unconstrained
• Inexact Spectral Projected Gradient Methods on Convex Sets Ernesto G. Birgin
• METODOS COMPUTACIONAIS DE OTIMIZAC ~AO
• Nonlinear-Programming Reformulation of the Order-Value Optimization problem
• Augmented Lagrangian method with nonmonotone penalty parameters for constrained optimization
• A globally convergent Inexact-Newton method for solving reducible nonlinear systems of equations
• Order-Value Optimization: Formulation and Solution by means of a Primal Cauchy Method
• Quasi-Newton methods for Order-Value Optimization and Value-at-Risk calculations
• Estimation of the thickness and the optical parameters of several superimposed thin films using optimization
• , , 1--18 () Validation of an Augmented Lagrangian
• An interior-point method for solving box-constrained underdetermined nonlinear systems
• Spectral gradient methods for linearly constrained optimization
• On the Boundedness of Penalty Parameters in an Augmented Lagrangian Method with Constrained Subproblems
• Spectral projected gradient and variable metric methods for optimization with linear inequalities
• KOREKTURY ddgms.tex 31.7. 2001 NONMONOTONE STRATEGY FOR MINIMIZATION OF
• Outer Trust-Region method for Constrained Optimization Ernesto G. Birgin
• Derivative-free methods for nonlinear programming with general lower-level constraints
• A new sequential optimality condition for constrained optimization and algorithmic consequences
• Global minimization using an Augmented Lagrangian method with variable lower-level constraints
• ON AUGMENTED LAGRANGIAN METHODS WITH GENERAL LOWER-LEVEL CONSTRAINTS
• On Second-Order Optimality Conditions for Nonlinear Programming
• Quasi-Newton acceleration for equality-constrained minimization
• Structured minimal-memory inexact quasi-Newton method and secant preconditioners for Augmented Lagrangian Optimization
• Continuous Optimization Methods for Structure Alignments R. Andreani
• DOI: 10.1007/s10910-006-9058-0 Journal of Mathematical Chemistry, Vol. 40, No. 4, November 2006 ( 2006)
• Local Convergence of an Inexact-Restoration Method and Numerical Experiments
• Globally convergent trust-region methods for self-consistent field electronic structure calculations
• Numerical comparison of Augmented Lagrangian algorithms for nonconvex problems
• Optimization techniques for the estimation of the thickness and the optical parameters of thin films using reflectance data
• Global Order-Value Optimization by means of a multistart harmonic oscillator tunneling strategy
• Discrete Newton's method with local variations for solving large-scale nonlinear systems
• Optimizing the Packing of Cylinders into a Rectangular Container: A Nonlinear Approach
• On the solution of mathematical programming problems with equilibrium constraints
• Inexact-Restoration Method with Lagrangian Tangent Decrease and New Merit Function for Nonlinear
• Nonmonotone Spectral Projected Gradient Methods on Convex Sets
• Low Order-Value Optimization and applications R. Andreani
• Spectral residual method without gradient information for solving large-scale nonlinear systems of equations: Theory
• !#"$%'&()102(03&4'65708&@9ABCDFEC"G HIQP(RTSVUQWYX$`2a7bcIQd@bcPfe gihqprPsHt`vu7wxpryvW@xRIQW@P rWrSRprIQbcWprIU P(RTed
• On the theoretical convergence properties of the SIMP method
• OPTICAL PROPERTIES OF DIELECTRIC AND SEMICONDUCTOR I. Chambouleyron
• Spectral Projected Gradient Method with Inexact Restoration for Minimization with Nonconvex Constraints