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Publisher: SciELO   (Total: 684 journals)

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Medicina Oral, patología oral y cirugía bucal     Open Access   (SJR: 0.432, h-index: 24)
Medicina y Seguridad del Trabajo     Open Access   (Followers: 1)
MEDISAN     Open Access  
MediSur     Open Access  
Memoria Americana     Open Access  
Memoria y Sociedad     Open Access  
Memórias do Instituto Oswaldo Cruz     Open Access   (SJR: 0.619, h-index: 51)
Meteorologica     Open Access  
Migración y Desarrollo     Open Access  
Migraciones Internacionales     Open Access   (SJR: 0.118, h-index: 2)
Motriz: Revista de Educação Física     Open Access   (SJR: 0.18, h-index: 2)
Multequina     Open Access  
Mundo Agrario     Open Access   (SJR: 0.1, h-index: 1)
Nefrología (Madrid)     Open Access   (SJR: 0.269, h-index: 18)
Neotropical Ichthyology     Open Access   (SJR: 0.612, h-index: 17)
Neurocirugia     Open Access   (SJR: 0.239, h-index: 13)
Nómadas     Open Access  
Norteamérica     Open Access   (Followers: 1)
Nova Economia     Open Access   (SJR: 0.166, h-index: 3)
Nova Tellus     Open Access   (Followers: 2)
Novos Estudos - CEBRAP     Open Access  
Nucleus     Open Access  
Nutrición Hospitalaria     Open Access   (SJR: 0.323, h-index: 23)
Obras y Proyectos     Open Access  
Odontoestomatología     Open Access   (Followers: 1)
Oncología (Barcelona)     Open Access  
Onderstepoort J. of Veterinary Research     Open Access   (Followers: 2, SJR: 0.177, h-index: 23)
Opinião Pública     Open Access   (SJR: 0.294, h-index: 5)
ORINOQUIA     Open Access  
Paidéia (Ribeirão Preto)     Open Access  
Palabra Clave     Open Access   (Followers: 1)
Pandaemonium Germanicum     Open Access  
Papéis Avulsos de Zoologia     Open Access   (Followers: 1, SJR: 0.911, h-index: 11)
Papeles de Población     Open Access   (SJR: 0.128, h-index: 2)
Parasitología al día     Open Access   (Followers: 1)
Parasitologia latinoamericana     Open Access   (Followers: 1)
Pastos y Forrajes     Open Access  
Pediatría Atención Primaria     Open Access   (SJR: 0.148, h-index: 4)
Pensamiento & Gestión     Open Access  
Per Musi     Open Access   (Followers: 1)
Perfil de Coyuntura Económica     Open Access  
Perfiles ducativos     Open Access   (SJR: 0.161, h-index: 2)
Perfiles Latinoamericanos     Open Access   (Followers: 1, SJR: 0.102, h-index: 1)
Perspectivas em Ciência da Informação     Open Access   (Followers: 10, SJR: 0.205, h-index: 3)
Pesquisa Agropecuária Brasileira     Open Access   (Followers: 1, SJR: 0.613, h-index: 29)
Pesquisa Odontológica Brasileira     Open Access   (SJR: 0.375, h-index: 18)
Pesquisa Operacional     Open Access   (SJR: 0.305, h-index: 6)
Pesquisa Veterinária Brasileira     Open Access   (SJR: 0.324, h-index: 18)
Pharmacy Practice (Internet)     Open Access   (Followers: 3, SJR: 0.197, h-index: 8)
Physis: Revista de Saúde Coletiva     Open Access   (Followers: 1, SJR: 0.448, h-index: 6)
Phyton (Buenos Aires)     Open Access   (SJR: 0.204, h-index: 8)
Planta Daninha     Open Access   (SJR: 0.413, h-index: 14)
Población y Sociedad     Open Access  
Polibotánica     Open Access  
Polímeros: Ciência e Tecnologia     Open Access   (Followers: 1, SJR: 0.228, h-index: 8)
Política Criminal     Open Access   (SJR: 0.102, h-index: 1)
Política y Cultura     Open Access  
Política y Gobierno     Open Access   (Followers: 1, SJR: 0.118, h-index: 5)
Potchefstroom Electronic Law J.     Open Access   (Followers: 3)
Prismas     Open Access  
Pró-Fono Revista de Atualização Científica     Open Access  
Pro-Posições     Open Access  
Produção     Open Access   (SJR: 0.19, h-index: 5)
Prohistoria     Open Access  
Proyecciones : Revista de matematica     Open Access   (Followers: 1)
Psic : Revista de Psicologia da Vetor Editora     Open Access  
Psico-USF     Open Access  
Psicologia & Sociedade     Open Access   (Followers: 1)
Psicologia : Ciência e Profissão     Open Access   (Followers: 1)
Psicologia Clínica     Open Access   (Followers: 1, SJR: 0.109, h-index: 2)
Psicología desde el Caribe     Open Access  
Psicologia em Estudo     Open Access   (SJR: 0.217, h-index: 7)
Psicologia Escolar e Educacional     Open Access  
Psicologia USP     Open Access   (SJR: 0.1, h-index: 3)
Psicologia: Reflexão e Crítica     Open Access   (SJR: 0.288, h-index: 8)
Psicologia: Teoria e Pesquisa     Open Access   (SJR: 0.33, h-index: 7)
Psychology & Neuroscience     Open Access   (Followers: 9, SJR: 0.164, h-index: 3)
Psychology in Society     Open Access   (Followers: 2)
Psykhe (Santiago)     Open Access   (SJR: 0.189, h-index: 4)
Química Nova     Open Access   (Followers: 1, SJR: 0.327, h-index: 36)
Quinto Sol     Open Access  
Radiologia Brasileira     Open Access   (Followers: 2, SJR: 0.205, h-index: 6)
RAE-eletrônica     Open Access  
RAM. Revista de Administração Mackenzie     Open Access  
RCOE     Open Access  
REAd : Revista eletrônica de administração     Open Access  
Región y Sociedad     Open Access   (Followers: 1)
Religião e Sociedade     Open Access   (Followers: 2)
Rem : Revista Escola de Minas     Open Access   (Followers: 1, SJR: 0.201, h-index: 6)
Revista Andaluza de Medicina del Deporte     Open Access   (SJR: 0.164, h-index: 3)
Revista Archivo Médico de Camagüey     Open Access  
Revista Argentina de Cardiología     Open Access  
Revista Argentina de Dermatología     Open Access   (SJR: 0.1, h-index: 2)
Revista Argentina de Microbiología     Open Access   (SJR: 0.245, h-index: 13)
Revista Argentina de Radiología     Open Access   (Followers: 2)
Revista Argentina de Sociología     Open Access   (Followers: 1)
Revista Árvore     Open Access   (Followers: 2, SJR: 0.488, h-index: 13)
Revista Brasileira de Biologia     Open Access  
Revista Brasileira de Ciência Avicola     Open Access   (Followers: 1, SJR: 0.254, h-index: 8)
Revista Brasileira de Ciência do Solo     Open Access   (Followers: 2, SJR: 0.777, h-index: 26)

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Journal Cover Pesquisa Operacional
   Follow    
  This is an Open Access Journal Open Access journal
     ISSN (Print) 0101-7438
     Published by SciELO Homepage  [684 journals]   [SJR: 0.305]   [H-I: 6]
  • FOREWORD SPECIAL ISSUE DEDICATED TO SELECTED SURVEYS IN NONLINEAR
           PROGRAMMING

    •  
  • STOCHASTIC GRADIENT METHODS FOR UNCONSTRAINED OPTIMIZATION

    • Abstract: This papers presents an overview of gradient based methods for minimization of noisy functions. It is assumed that the objective functions is either given with error terms of stochastic nature or given as the mathematical expectation. Such problems arise in the context of simulation based optimization. The focus of this presentation is on the gradient based Stochastic Approximation and Sample Average Approximation methods. The concept of stochastic gradient approximation of the true gradient can be successfully extended to deterministic problems. Methods of this kind are presented for the data fitting and machine learning problems.
       
  • COMPLEXITY OF FIRST-ORDER METHODS FOR DIFFERENTIABLE CONVEX OPTIMIZATION

    • Abstract: This is a short tutorial on complexity studies for differentiable convex optimization. A complexity study is made for a class of problems, an "oracle" that obtains information about the problem at a given point, and a stopping rule for algorithms. These three items compose a scheme, for which we study the performance of algorithms and problem complexity. Our problem classes will be quadratic minimization and convex minimization in ℝn. The oracle will always be first order. We study the performance of steepest descent and Krylov spacemethods for quadratic function minimization and Nesterov’s approach to the minimization of differentiable convex functions.
       
  • PRECONDITIONING ISSUES IN THE NUMERICAL SOLUTION OF NONLINEAR EQUATIONS
           AND NONLINEAR LEAST SQUARES

    • Abstract: Second order methods for optimization call for the solution of sequences of linear systems. In this survey we will discuss several issues related to the preconditioning of such sequences. Covered topics include both techniques for building updates of factorized preconditioners and quasi-Newton approaches. Sequences of unsymmetric linear systems arising in Newton-Krylov methods will be considered as well as symmetric positive definite sequences arising in the solution of nonlinear least-squares by Truncated Gauss-Newton methods.
       
  • TRUST-REGION-BASED METHODS FOR NONLINEAR PROGRAMMING: RECENT ADVANCES AND
           PERSPECTIVES

    • Abstract: The aim of this text is to highlight recent advances of trust-region-based methods for nonlinear programming and to put them into perspective. An algorithmic framework provides a ground with the main ideas of these methods and the related notation. Specific approaches concerned with handling the trust-region subproblem are recalled, particularly for the large scale setting. Recent contributions encompassing the trust-region globalization technique for nonlinear programming are reviewed, including nonmonotone acceptance criteria for unconstrained minimization; the adaptive adjustment of the trust-region radius; the merging of the trust-region step into a line search scheme, and the usage of the trust-region elements within derivative-free optimization algorithms.
       
  • STABILIZED SEQUENTIAL QUADRATIC PROGRAMMING: A SURVEY

    • Abstract: We review the motivation for, the current state-of-the-art in convergence results, and some open questions concerning the stabilized version of the sequential quadratic programming algorithm for constrained optimization. We also discuss the tools required for its local convergence analysis, globalization challenges, and extentions of the method to the more general variational problems.
       
  • CONSTANT RANK CONSTRAINT QUALIFICATIONS: A GEOMETRIC INTRODUCTION

    • Abstract: Constraint qualifications (CQ) are assumptions on the algebraic description of the feasible set of an optimization problem that ensure that the KKT conditions hold at any local minimum. In this work we show that constraint qualifications based on the notion of constant rank can be understood as assumptions that ensure that the polar of the linear approximation of the tangent cone, generated by the active gradients, retains it geometric structure locally.
       
  • LINEAR AND NONLINEAR SEMIDEFINITE PROGRAMMING

    • Abstract: This paper provides a short introduction to optimization problems with semidefinite constraints. Basic duality and optimality conditions are presented. For linear semidefinite programming some advances by dealing with degeneracy and the semidefinite facial reduction are discussed. Two relatively recent areas of application are presented. Finally a short overview of relevant literature on algorithmic approaches for efficiently solving linear and nonlinear semidefinite programming is provided.
       
  • GENERALIZED NASH EQUILIBRIUM PROBLEMS - RECENT ADVANCES AND CHALLENGES

    • Abstract: Generalized Nash equilibrium problems have become very important as a modeling tool during the last decades. The aim of this survey paper is twofold. It summarizes recent advances in the research on computational methods for generalized Nash equilibrium problems and points out current challenges. The focus of this survey is on algorithms and their convergence properties. Therefore, we also present reformulations of the generalized Nash equilibrium problem, results on error bounds and properties of the solution set of the equilibrium problems.
       
  • OPTIMIZATION WITH LINEAR COMPLEMENTARITY CONSTRAINTS

    • Abstract: A Mathematical Program with Linear Complementarity Constraints (MPLCC) is an optimization problem where a continuously differentiable function is minimized on a set defined by linear constraints and complementarity conditions on pairs of complementary variables. This problem finds many applications in several areas of science, engineering and economics and is also an important tool for the solution of some NP-hard structured and nonconvex optimization problems, such as bilevel, bilinear and nonconvex quadratic programs and the eigenvalue complementarity problem. In this paper some of the most relevant applications of the MPLCC and formulations of nonconvex optimization problems as MPLCCs are first presented. Algorithms for computing a feasible solution, a stationary point and a global minimum for the MPLCC are next discussed. The most important nonlinear programming methods, complementarity algorithms, enumerative techniques and 0 - 1 integer programming approaches for the MPLCC are reviewed. Some comments about the computational performance of these algorithms and a few topics for future research are also included in this survey.
       
  • A SURVEY ON MULTIOBJECTIVE DESCENT METHODS

    • Abstract: We present a rigorous and comprehensive survey on extensions to the multicriteria setting of three well-known scalar optimization algorithms. Multiobjective versions of the steepest descent, the projected gradient and the Newton methods are analyzed in detail. At each iteration, the search directions of these methods are computed by solving real-valued optimization problems and, in order to guarantee an adequate objective value decrease, Armijo-like rules are implemented by means of a backtracking procedure. Under standard assumptions, convergence to Pareto (weak Pareto) optima is established. For the Newton method, superlinear convergence is proved and, assuming Lipschitz continuity of the objectives second derivatives, it is shown that the rate is quadratic
       
  • ON AUTOMATIC DIFFERENTIATION AND ALGORITHMIC LINEARIZATION

    • Abstract: We review the methods and applications of automatic differentiation, a research and development activity, which has evolved in various computational fields since the mid 1950's. Starting from very simple basic principles that are familiar from school, one arrives at various theoretical and practical challenges. The resulting activity encompasses mathematical research and software development; it is now oftenreferredtoas algorithmic differentiation. From a geometrical and algebraic point of view, differentiation amounts to linearization, a concept that naturally extends to infinite dimensional spaces. In contract to other surveys, we will emphasize this interpretation as it has become more important recently and also facilitates the treatment of nonsmooth problems by piecewise linearization.
       
  • BUNDLE METHODS IN THE XXIst CENTURY: A BIRD'S-EYE VIEW

    • Abstract: Bundle methods are often the algorithms of choice for nonsmooth convex optimization, especially if accuracy in the solution and reliability are a concern. We review several algorithms based on the bundle methodology that have been developed recently and that, unlike their forerunner variants, have the ability to provide exact solutions even if most of the time the available information is inaccurate. We adopt an approach that is by no means exhaustive, but covers different proximal and level bundle methods dealing with inexact oracles, for both unconstrained and constrained problems.
       
 
 
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