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Título : Optimization : Structure and Applications Tipo de documento: documento electrónico Autores: SpringerLink (Online service) ; Pearce, Charles ; Hunt, Emma Editorial: New York, NY : Springer New York Fecha de publicación: 2009 Colección: Springer Optimization and Its Applications, ISSN 1931-6828 num. 32 Número de páginas: XXI, 401 p Il.: online resource ISBN/ISSN/DL: 978-0-387-98096-6 Idioma : Inglés (eng) Palabras clave: Mathematics Mathematical models optimization Operations research Management science Modeling and Industrial Optimization Research, Science Clasificación: 51 Matemáticas Resumen: Optimization: Structure and Applications presents selected contributions from renowned researchers in the fields of operations research and industrial engineering. The text is divided into two parts: the first focuses on mathematical structure, and the second, on real-world applications. The book includes recent developments in several optimization-related topics such as decision theory, linear programming, turnpike theory, duality theory, convex analysis, and queueing theory. The applications presented include, but are not limited to, data imaging, network capacity allocation, water system management, and materials design. The 21 self-contained chapters in this volume are devoted to the examination of modern trends and open problems in the field of optimization. This book will be a valuable tool not only to specialists interested in the technical detail and various applications presented, but also to researchers interested in building upon the book’s theoretical results Nota de contenido: Optimization: Structure -- On the nondifferentiability of cone-monotone functions in Banach spaces -- Duality and a Farkas lemma for integer programs -- Some nonlinear Lagrange and penalty functions for problems with a single constraint -- Convergence of truncates in optimal feedback control 61 -- Asymptotical stability of optimal paths in nonconvex problems -- Pontryagin principle with a PDE: a unified approach -- A turnpike property for discrete#x2013;time control systems in metric spaces -- Mond#x2013;Weir duality -- Computing the fundamental matrix of an M/G/1#x2013;type Markov chain -- A comparison of probabilistic and invariant subspace methods for the block //1 Markov chain -- Interpolating maps, the modulus map and Hadamardard#x2019;s inequality -- Optimization: Applications -- Estimating the size of correcting codes using extremal graph problems -- New perspectives on optimal transforms of random vectors -- Optimal capacity assignment in general queueing networks -- Analysis of a simple control policy for stormwater management in two connected dams -- Optimal design of linear consecutive#x2013;#x2013;out#x2013;of#x2013; systems -- The (+1)-th component of linear consecutive#x2013;#x2013;out#x2013;of#x2013; systems -- Optimizing properties of polypropylene and elastomer compounds containing wood flour -- Constrained spanning, Steiner trees and the triangle inequality -- Parallel line search -- Alternative Mathematical Programming Models: A Case for a Coal Blending Decision Process En línea: http://dx.doi.org/10.1007/978-0-387-98096-6 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=33927 Optimization : Structure and Applications [documento electrónico] / SpringerLink (Online service) ; Pearce, Charles ; Hunt, Emma . - New York, NY : Springer New York, 2009 . - XXI, 401 p : online resource. - (Springer Optimization and Its Applications, ISSN 1931-6828; 32) .
ISBN : 978-0-387-98096-6
Idioma : Inglés (eng)
Palabras clave: Mathematics Mathematical models optimization Operations research Management science Modeling and Industrial Optimization Research, Science Clasificación: 51 Matemáticas Resumen: Optimization: Structure and Applications presents selected contributions from renowned researchers in the fields of operations research and industrial engineering. The text is divided into two parts: the first focuses on mathematical structure, and the second, on real-world applications. The book includes recent developments in several optimization-related topics such as decision theory, linear programming, turnpike theory, duality theory, convex analysis, and queueing theory. The applications presented include, but are not limited to, data imaging, network capacity allocation, water system management, and materials design. The 21 self-contained chapters in this volume are devoted to the examination of modern trends and open problems in the field of optimization. This book will be a valuable tool not only to specialists interested in the technical detail and various applications presented, but also to researchers interested in building upon the book’s theoretical results Nota de contenido: Optimization: Structure -- On the nondifferentiability of cone-monotone functions in Banach spaces -- Duality and a Farkas lemma for integer programs -- Some nonlinear Lagrange and penalty functions for problems with a single constraint -- Convergence of truncates in optimal feedback control 61 -- Asymptotical stability of optimal paths in nonconvex problems -- Pontryagin principle with a PDE: a unified approach -- A turnpike property for discrete#x2013;time control systems in metric spaces -- Mond#x2013;Weir duality -- Computing the fundamental matrix of an M/G/1#x2013;type Markov chain -- A comparison of probabilistic and invariant subspace methods for the block //1 Markov chain -- Interpolating maps, the modulus map and Hadamardard#x2019;s inequality -- Optimization: Applications -- Estimating the size of correcting codes using extremal graph problems -- New perspectives on optimal transforms of random vectors -- Optimal capacity assignment in general queueing networks -- Analysis of a simple control policy for stormwater management in two connected dams -- Optimal design of linear consecutive#x2013;#x2013;out#x2013;of#x2013; systems -- The (+1)-th component of linear consecutive#x2013;#x2013;out#x2013;of#x2013; systems -- Optimizing properties of polypropylene and elastomer compounds containing wood flour -- Constrained spanning, Steiner trees and the triangle inequality -- Parallel line search -- Alternative Mathematical Programming Models: A Case for a Coal Blending Decision Process En línea: http://dx.doi.org/10.1007/978-0-387-98096-6 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=33927 Ejemplares
Signatura Medio Ubicación Estado ningún ejemplar Optimization and Logistics Challenges in the Enterprise / SpringerLink (Online service) ; Chaovalitwongse, Wanpracha ; Furman, Kevin C ; Pardalos, Panos M (2009)
Título : Optimization and Logistics Challenges in the Enterprise Tipo de documento: documento electrónico Autores: SpringerLink (Online service) ; Chaovalitwongse, Wanpracha ; Furman, Kevin C ; Pardalos, Panos M Editorial: Boston, MA : Springer US Fecha de publicación: 2009 Colección: Springer Optimization and Its Applications, ISSN 1931-6828 num. 30 Número de páginas: XVI, 431 p Il.: online resource ISBN/ISSN/DL: 978-0-387-88617-6 Idioma : Inglés (eng) Palabras clave: Mathematics Business Management science Operations research Decision making Computer mathematics Mathematical optimization Engineering Industrial engineering Production Optimization and Engineering, general Computational Numerical Analysis Management, Operation Research/Decision Theory Clasificación: 51 Matemáticas Resumen: Optimization and Logistics Challenges in the Enterprise begins to answer the question of how to bridge the gap from mathematical modeling and optimization techniques, to practical solutions of enterprise operations. Mathematically distinct from classical supply chain management, this burgeoning research area has proven to be useful and applicable to a wide variety of industries; for example, pharmaceutical, chemical, transportation, and shipping, to name a few. This book consists of high quality research results and may serve as a "one-stop shop" to learn about several industrial problems and logistics challenges, and solution techniques using recent advances in computational optimization. This work is intended for practitioners from industry who use techniques from a wide range of fields: mathematical programming, supply chain and logistics management, and process systems and operations engineering. It will also be of value to advanced graduate and PhD students and researchers in operations research, systems engineering, and management science Nota de contenido: I Process Industry -- Challenges in Enterprise Wide Optimization for the Process Industries -- Multi-Product Inventory Logistics Modeling in the Process Industries -- Modeling and Managing Uncertainty in Process Planning and Scheduling -- A Relative Robust Optimization Approach for Full Factorial Scenario Design of Data Uncertainty and Ambiguity -- II Supply Chain and Logistics Design -- An Enterprise Risk Management Model for Supply Chains -- Notes On Using Optimization And DSS Techniques to Support Supply Chain And Logistics Operations -- On the Quadratic Programming Approach for Hub Location Problems -- Nested Partitions and Its Applications to the Intermodal Hub Location Problem -- III Supply Chain Operation -- Event-Time Models for Supply Chain Scheduling -- A Dynamic and Data-Driven Approach to the News Vendor Problem Under Cyclical Demand -- Logic-based MultiObjective Optimization for Restoration Planning -- IV Networking and Transportation -- The Aircraft Maintenance Routing Problem -- The Stochastic Vehicle Routing Problem for Minimum Unmet Demand -- Collaboration in Cargo Transportation -- Communication Models for a Cooperative Network of Autonomous Agents En línea: http://dx.doi.org/10.1007/978-0-387-88617-6 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=33913 Optimization and Logistics Challenges in the Enterprise [documento electrónico] / SpringerLink (Online service) ; Chaovalitwongse, Wanpracha ; Furman, Kevin C ; Pardalos, Panos M . - Boston, MA : Springer US, 2009 . - XVI, 431 p : online resource. - (Springer Optimization and Its Applications, ISSN 1931-6828; 30) .
ISBN : 978-0-387-88617-6
Idioma : Inglés (eng)
Palabras clave: Mathematics Business Management science Operations research Decision making Computer mathematics Mathematical optimization Engineering Industrial engineering Production Optimization and Engineering, general Computational Numerical Analysis Management, Operation Research/Decision Theory Clasificación: 51 Matemáticas Resumen: Optimization and Logistics Challenges in the Enterprise begins to answer the question of how to bridge the gap from mathematical modeling and optimization techniques, to practical solutions of enterprise operations. Mathematically distinct from classical supply chain management, this burgeoning research area has proven to be useful and applicable to a wide variety of industries; for example, pharmaceutical, chemical, transportation, and shipping, to name a few. This book consists of high quality research results and may serve as a "one-stop shop" to learn about several industrial problems and logistics challenges, and solution techniques using recent advances in computational optimization. This work is intended for practitioners from industry who use techniques from a wide range of fields: mathematical programming, supply chain and logistics management, and process systems and operations engineering. It will also be of value to advanced graduate and PhD students and researchers in operations research, systems engineering, and management science Nota de contenido: I Process Industry -- Challenges in Enterprise Wide Optimization for the Process Industries -- Multi-Product Inventory Logistics Modeling in the Process Industries -- Modeling and Managing Uncertainty in Process Planning and Scheduling -- A Relative Robust Optimization Approach for Full Factorial Scenario Design of Data Uncertainty and Ambiguity -- II Supply Chain and Logistics Design -- An Enterprise Risk Management Model for Supply Chains -- Notes On Using Optimization And DSS Techniques to Support Supply Chain And Logistics Operations -- On the Quadratic Programming Approach for Hub Location Problems -- Nested Partitions and Its Applications to the Intermodal Hub Location Problem -- III Supply Chain Operation -- Event-Time Models for Supply Chain Scheduling -- A Dynamic and Data-Driven Approach to the News Vendor Problem Under Cyclical Demand -- Logic-based MultiObjective Optimization for Restoration Planning -- IV Networking and Transportation -- The Aircraft Maintenance Routing Problem -- The Stochastic Vehicle Routing Problem for Minimum Unmet Demand -- Collaboration in Cargo Transportation -- Communication Models for a Cooperative Network of Autonomous Agents En línea: http://dx.doi.org/10.1007/978-0-387-88617-6 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=33913 Ejemplares
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Título : Optimization Approaches for Solving String Selection Problems Tipo de documento: documento electrónico Autores: Pappalardo, Elisa ; SpringerLink (Online service) ; Pardalos, Panos M ; Stracquadanio, Giovanni Editorial: New York, NY : Springer New York Fecha de publicación: 2013 Otro editor: Imprint: Springer Colección: SpringerBriefs in Optimization, ISSN 2190-8354 Número de páginas: VIII, 49 p. 2 illus. in color Il.: online resource ISBN/ISSN/DL: 978-1-4614-9053-1 Idioma : Inglés (eng) Palabras clave: Mathematics Computer science mathematics Mathematical optimization Biomathematics Discrete Optimization and Computational Biology in Science Math Applications Numerical Analysis Clasificación: 51 Matemáticas Resumen: Optimization Approaches for Solving String Selection Problems provides an overview of optimization methods for a wide class of genomics-related problems in relation to the string selection problems. This class of problems addresses the recognition of similar characteristics or differences within biological sequences. Specifically, this book considers a large class of problems, ranging from the closest string and substring problems, to the farthest string and substring problems, to the far from most string problem. Each problem includes a detailed description, highlighting both biological and mathematical features and presents state-of-the-art approaches. This Brief provides a quick introduction of optimization methods for string selection problems for young scientists and a detailed description of the mathematical and computational methods developed for experts in the field of optimization who want to deepen their understanding of the string selection problems. Researchers, practitioners and graduate students in the field of Computer Science, Operation Research, Mathematics, Computational Biology and Biomedicine will find this book useful. Nota de contenido: 1. Biological Sequences -- 2. Strings: Theory, Properties and Applications -- 3. Mathematical Optimization -- 4. String Selection Problems En línea: http://dx.doi.org/10.1007/978-1-4614-9053-1 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=32406 Optimization Approaches for Solving String Selection Problems [documento electrónico] / Pappalardo, Elisa ; SpringerLink (Online service) ; Pardalos, Panos M ; Stracquadanio, Giovanni . - New York, NY : Springer New York : Imprint: Springer, 2013 . - VIII, 49 p. 2 illus. in color : online resource. - (SpringerBriefs in Optimization, ISSN 2190-8354) .
ISBN : 978-1-4614-9053-1
Idioma : Inglés (eng)
Palabras clave: Mathematics Computer science mathematics Mathematical optimization Biomathematics Discrete Optimization and Computational Biology in Science Math Applications Numerical Analysis Clasificación: 51 Matemáticas Resumen: Optimization Approaches for Solving String Selection Problems provides an overview of optimization methods for a wide class of genomics-related problems in relation to the string selection problems. This class of problems addresses the recognition of similar characteristics or differences within biological sequences. Specifically, this book considers a large class of problems, ranging from the closest string and substring problems, to the farthest string and substring problems, to the far from most string problem. Each problem includes a detailed description, highlighting both biological and mathematical features and presents state-of-the-art approaches. This Brief provides a quick introduction of optimization methods for string selection problems for young scientists and a detailed description of the mathematical and computational methods developed for experts in the field of optimization who want to deepen their understanding of the string selection problems. Researchers, practitioners and graduate students in the field of Computer Science, Operation Research, Mathematics, Computational Biology and Biomedicine will find this book useful. Nota de contenido: 1. Biological Sequences -- 2. Strings: Theory, Properties and Applications -- 3. Mathematical Optimization -- 4. String Selection Problems En línea: http://dx.doi.org/10.1007/978-1-4614-9053-1 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=32406 Ejemplares
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Título : Optimization for Decision Making : Linear and Quadratic Models Tipo de documento: documento electrónico Autores: Murty, Katta G ; SpringerLink (Online service) Editorial: Boston, MA : Springer US Fecha de publicación: 2010 Otro editor: Imprint: Springer Colección: International Series in Operations Research & Management Science, ISSN 0884-8289 num. 137 Número de páginas: XXVI, 482 p. 47 illus Il.: online resource ISBN/ISSN/DL: 978-1-4419-1291-6 Idioma : Inglés (eng) Palabras clave: Mathematics Operations research Decision making Mathematical models optimization Management science Industrial engineering Production Modeling and Operation Research/Decision Theory Research, Science Optimization Engineering Clasificación: 51 Matemáticas Resumen: Optimization for Decision Making: Linear and Quadratic Models is a first-year graduate level text that illustrates how to formulate real world problems using linear and quadratic models; how to use efficient algorithms – both old and new – for solving these models; and how to draw useful conclusions and derive useful planning information from the output of these algorithms. While almost all the best known books on LP are essentially mathematics books with only very simple modeling examples, this book emphasizes the intelligent modeling of real world problems, and the author presents several illustrative examples and includes many exercises from a variety of application areas. Additionally, where other books on LP only discuss the simplex method, and perhaps existing interior point methods, this book also discusses a new method based on using the sphere which uses matrix inversion operations sparingly and may be well suited to solving large-scale LPs, as well as those that may not have the property of being very sparse. Individual chapters present a brief history of mathematical modeling; methods for formulating real world problems; three case studies that illustrate the need for intelligent modeling; classical theory of polyhedral geometry that plays an important part in the study of LP; duality theory, optimality conditions for LP, and marginal analysis; variants of the revised simplex method; interior point methods; sphere methods; and extensions of sphere method to convex and nonconvex quadratic programs and to 0-1 integer programs through quadratic formulations. End of chapter exercises are provided throughout, with additional exercises available online Nota de contenido: Linear Equations, Inequalities, Linear Programming: A Brief Historical Overview -- Formulation Techniques Involving Transformations of Variables -- Intelligent Modeling Essential to Get Good Results -- Polyhedral Geometry -- Duality Theory and Optimality Conditions for LPs -- Revised Simplex Variants of the Primal and Dual Simplex Methods and Sensitivity Analysis -- Interior Point Methods for LP -- Sphere Methods for LP -- Quadratic Programming Models En línea: http://dx.doi.org/10.1007/978-1-4419-1291-6 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=33587 Optimization for Decision Making : Linear and Quadratic Models [documento electrónico] / Murty, Katta G ; SpringerLink (Online service) . - Boston, MA : Springer US : Imprint: Springer, 2010 . - XXVI, 482 p. 47 illus : online resource. - (International Series in Operations Research & Management Science, ISSN 0884-8289; 137) .
ISBN : 978-1-4419-1291-6
Idioma : Inglés (eng)
Palabras clave: Mathematics Operations research Decision making Mathematical models optimization Management science Industrial engineering Production Modeling and Operation Research/Decision Theory Research, Science Optimization Engineering Clasificación: 51 Matemáticas Resumen: Optimization for Decision Making: Linear and Quadratic Models is a first-year graduate level text that illustrates how to formulate real world problems using linear and quadratic models; how to use efficient algorithms – both old and new – for solving these models; and how to draw useful conclusions and derive useful planning information from the output of these algorithms. While almost all the best known books on LP are essentially mathematics books with only very simple modeling examples, this book emphasizes the intelligent modeling of real world problems, and the author presents several illustrative examples and includes many exercises from a variety of application areas. Additionally, where other books on LP only discuss the simplex method, and perhaps existing interior point methods, this book also discusses a new method based on using the sphere which uses matrix inversion operations sparingly and may be well suited to solving large-scale LPs, as well as those that may not have the property of being very sparse. Individual chapters present a brief history of mathematical modeling; methods for formulating real world problems; three case studies that illustrate the need for intelligent modeling; classical theory of polyhedral geometry that plays an important part in the study of LP; duality theory, optimality conditions for LP, and marginal analysis; variants of the revised simplex method; interior point methods; sphere methods; and extensions of sphere method to convex and nonconvex quadratic programs and to 0-1 integer programs through quadratic formulations. End of chapter exercises are provided throughout, with additional exercises available online Nota de contenido: Linear Equations, Inequalities, Linear Programming: A Brief Historical Overview -- Formulation Techniques Involving Transformations of Variables -- Intelligent Modeling Essential to Get Good Results -- Polyhedral Geometry -- Duality Theory and Optimality Conditions for LPs -- Revised Simplex Variants of the Primal and Dual Simplex Methods and Sensitivity Analysis -- Interior Point Methods for LP -- Sphere Methods for LP -- Quadratic Programming Models En línea: http://dx.doi.org/10.1007/978-1-4419-1291-6 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=33587 Ejemplares
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Título : Optimization in Medicine Tipo de documento: documento electrónico Autores: SpringerLink (Online service) ; Carlos J. S. Alves ; Pardalos, Panos M ; Vicente, Luis Nunes Editorial: New York, NY : Springer New York Fecha de publicación: 2008 Colección: Springer Optimization and Its Applications, ISSN 1931-6828 num. 12 Número de páginas: X, 195 p. 60 illus Il.: online resource ISBN/ISSN/DL: 978-0-387-73299-2 Idioma : Inglés (eng) Palabras clave: Medicine Radiology Mathematical optimization Calculus of variations & Public Health Medicine/Public Health, general Optimization Variations and Optimal Control; Imaging / Clasificación: 51 Matemáticas Resumen: Optimization has become an essential tool in addressing the limitation of resources and need for better decision-making in the medical field. Both continuous and discrete mathematical techniques are playing an increasingly important role in understanding several fundamental problems in medicine. This volume presents a wide range of medical applications that can utilize mathematical computing. Examples include using an algorithm for considering the seed reconstruction problem in brachytherapy and using optimization-classification models to assist in the early prediction, diagnosis and detection of diseases. Discrete optimization techniques and measures derived from the theory of nonlinear dynamics, with analysis of multi-electrode electroencephalographic (EEG) data, assist in predicting impending epileptic seizures. Mathematics in medicine can also be found in recent cancer research. Sophisticated mathematical models and optimization algorithms have been used to generate treatment plans for radionuclide implant and external beam radiation therapy. Optimization techniques have also been used to automate the planning process in Gamma Knife treatment, as well as to address a variety of medical image registration problems. This work grew out of a workshop on optimization which was held during the 2005 CIM Thematic Term on Optimization in Coimbra, Portugal. It provides an overview of the state-of-the-art in optimization in medicine and will serve as an excellent reference for researchers in the medical computing community and for those working in applied mathematics and optimization Nota de contenido: The influence of dose grid resolution on beam selection strategies in radiotherapy treatment design -- Decomposition of matrices and static multileaf collimators: a survey -- Neuro-dynamic programming for fractionated radiotherapy planning -- Randomized algorithms for mixed matching and covering in hypergraphs in 3D seed reconstruction in brachytherapy -- Global optimization and spatial synchronization changes prior to epileptic seizures -- Optimization-based predictive models in medicine and biology -- Optimal reconstruction kernels in medical imaging -- Optimal control in high intensity focused ultrasound surgery En línea: http://dx.doi.org/10.1007/978-0-387-73299-2 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=34179 Optimization in Medicine [documento electrónico] / SpringerLink (Online service) ; Carlos J. S. Alves ; Pardalos, Panos M ; Vicente, Luis Nunes . - New York, NY : Springer New York, 2008 . - X, 195 p. 60 illus : online resource. - (Springer Optimization and Its Applications, ISSN 1931-6828; 12) .
ISBN : 978-0-387-73299-2
Idioma : Inglés (eng)
Palabras clave: Medicine Radiology Mathematical optimization Calculus of variations & Public Health Medicine/Public Health, general Optimization Variations and Optimal Control; Imaging / Clasificación: 51 Matemáticas Resumen: Optimization has become an essential tool in addressing the limitation of resources and need for better decision-making in the medical field. Both continuous and discrete mathematical techniques are playing an increasingly important role in understanding several fundamental problems in medicine. This volume presents a wide range of medical applications that can utilize mathematical computing. Examples include using an algorithm for considering the seed reconstruction problem in brachytherapy and using optimization-classification models to assist in the early prediction, diagnosis and detection of diseases. Discrete optimization techniques and measures derived from the theory of nonlinear dynamics, with analysis of multi-electrode electroencephalographic (EEG) data, assist in predicting impending epileptic seizures. Mathematics in medicine can also be found in recent cancer research. Sophisticated mathematical models and optimization algorithms have been used to generate treatment plans for radionuclide implant and external beam radiation therapy. Optimization techniques have also been used to automate the planning process in Gamma Knife treatment, as well as to address a variety of medical image registration problems. This work grew out of a workshop on optimization which was held during the 2005 CIM Thematic Term on Optimization in Coimbra, Portugal. It provides an overview of the state-of-the-art in optimization in medicine and will serve as an excellent reference for researchers in the medical computing community and for those working in applied mathematics and optimization Nota de contenido: The influence of dose grid resolution on beam selection strategies in radiotherapy treatment design -- Decomposition of matrices and static multileaf collimators: a survey -- Neuro-dynamic programming for fractionated radiotherapy planning -- Randomized algorithms for mixed matching and covering in hypergraphs in 3D seed reconstruction in brachytherapy -- Global optimization and spatial synchronization changes prior to epileptic seizures -- Optimization-based predictive models in medicine and biology -- Optimal reconstruction kernels in medical imaging -- Optimal control in high intensity focused ultrasound surgery En línea: http://dx.doi.org/10.1007/978-0-387-73299-2 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=34179 Ejemplares
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