Información de una colección
|
|
Documentos disponibles dentro de esta colección (11)
Refinar búsquedaApplications of Supply Chain Management and E-Commerce Research / SpringerLink (Online service) ; Geunes, Joseph ; Elif Akçali ; Pardalos, Panos M ; Romeijn, H. Edwin ; Shen, Zuo-Jun Max (2005)
Título : Applications of Supply Chain Management and E-Commerce Research Tipo de documento: documento electrónico Autores: SpringerLink (Online service) ; Geunes, Joseph ; Elif Akçali ; Pardalos, Panos M ; Romeijn, H. Edwin ; Shen, Zuo-Jun Max Editorial: Boston, MA : Springer US Fecha de publicación: 2005 Colección: Applied Optimization, ISSN 1384-6485 num. 92 Número de páginas: X, 478 p Il.: online resource ISBN/ISSN/DL: 978-0-387-23392-5 Idioma : Inglés (eng) Palabras clave: Mathematics Mathematical models optimization Operations research Management science Research, Science Modeling and Industrial Optimization Clasificación: 51 Matemáticas Resumen: This volume contains a broad specturm of both research and applications in both supply chain management and e-business. Several chapters are written by practitioners at leading corporations. It contains a variety of perspectives from researchers and pracitioners in disciplines beyond pure operations management or operations research. Audience This volume is suitable for researchers in supply chain management, e-business, and applied operations research as well as graduate students in these and other related disciplines. It would also be of interest to industry practitioners in supply chain management and e-business with interests in operations managements and operations research Nota de contenido: Supply Chain Operations -- Coordination of Inventory and Shipment Consolidation Decisions: A Review of Premises, Models, and Justification -- A Near-Optimal Order-Based Inventory Allocation Rule in an Assemble-To-Order System and its Applications to Resource Allocation Problems -- Improving Supply Chain Performance through Buyer Collaboration -- The Impact of New Supply Chain Management Practices on the Decision Tools Required by the Trucking Industry -- Managing the Supply-Side Risks in Supply Chains: Taxonomies, Processes, and Examples of Decision-Making Modeling -- Demand Propagation in ERP Integrated Assembly Supply Chains: Theoretical Models and Empirical Results -- Electronic Commerce and Markets -- Bridging the Trust Gap in Electronic Markets: A Strategic Framework for Empirical Study -- Strategies and Challenges of Internet Grocery Retailing Logistics -- Enabling Supply-Chain Coordination: Leveraging Legacy Sources for Rich Decision Support -- Collaboration Technologies for Supporting E-Supply Chain Management -- From Research to Practice -- The State of Practice in Supply-Chain Management: A Research Perspective -- Myths and Reality of Supply Chain Management: Implications for Industry-University Relationships -- Supply Chain Management: Interlinking Multiple Research Streams -- PROFIT: Decision Technology for Supply Chain Management at IBM Microelectronics Division -- Case Studies: Supply Chain Optimization Models in a Chemical Company En línea: http://dx.doi.org/10.1007/b101431 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=35062 Applications of Supply Chain Management and E-Commerce Research [documento electrónico] / SpringerLink (Online service) ; Geunes, Joseph ; Elif Akçali ; Pardalos, Panos M ; Romeijn, H. Edwin ; Shen, Zuo-Jun Max . - Boston, MA : Springer US, 2005 . - X, 478 p : online resource. - (Applied Optimization, ISSN 1384-6485; 92) .
ISBN : 978-0-387-23392-5
Idioma : Inglés (eng)
Palabras clave: Mathematics Mathematical models optimization Operations research Management science Research, Science Modeling and Industrial Optimization Clasificación: 51 Matemáticas Resumen: This volume contains a broad specturm of both research and applications in both supply chain management and e-business. Several chapters are written by practitioners at leading corporations. It contains a variety of perspectives from researchers and pracitioners in disciplines beyond pure operations management or operations research. Audience This volume is suitable for researchers in supply chain management, e-business, and applied operations research as well as graduate students in these and other related disciplines. It would also be of interest to industry practitioners in supply chain management and e-business with interests in operations managements and operations research Nota de contenido: Supply Chain Operations -- Coordination of Inventory and Shipment Consolidation Decisions: A Review of Premises, Models, and Justification -- A Near-Optimal Order-Based Inventory Allocation Rule in an Assemble-To-Order System and its Applications to Resource Allocation Problems -- Improving Supply Chain Performance through Buyer Collaboration -- The Impact of New Supply Chain Management Practices on the Decision Tools Required by the Trucking Industry -- Managing the Supply-Side Risks in Supply Chains: Taxonomies, Processes, and Examples of Decision-Making Modeling -- Demand Propagation in ERP Integrated Assembly Supply Chains: Theoretical Models and Empirical Results -- Electronic Commerce and Markets -- Bridging the Trust Gap in Electronic Markets: A Strategic Framework for Empirical Study -- Strategies and Challenges of Internet Grocery Retailing Logistics -- Enabling Supply-Chain Coordination: Leveraging Legacy Sources for Rich Decision Support -- Collaboration Technologies for Supporting E-Supply Chain Management -- From Research to Practice -- The State of Practice in Supply-Chain Management: A Research Perspective -- Myths and Reality of Supply Chain Management: Implications for Industry-University Relationships -- Supply Chain Management: Interlinking Multiple Research Streams -- PROFIT: Decision Technology for Supply Chain Management at IBM Microelectronics Division -- Case Studies: Supply Chain Optimization Models in a Chemical Company En línea: http://dx.doi.org/10.1007/b101431 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=35062 Ejemplares
Signatura Medio Ubicación Sub-localización Sección Estado ningún ejemplar
Título : Continuous Optimization : Current Trends and Modern Applications Tipo de documento: documento electrónico Autores: SpringerLink (Online service) ; Jeyakumar, Vaithilingam ; Rubinov, Alexander Editorial: Boston, MA : Springer US Fecha de publicación: 2005 Colección: Applied Optimization, ISSN 1384-6485 num. 99 Número de páginas: XVIII, 450 p Il.: online resource ISBN/ISSN/DL: 978-0-387-26771-5 Idioma : Inglés (eng) Palabras clave: Mathematics Mathematical analysis Analysis (Mathematics) Applied mathematics Engineering models optimization Operations research Management science Optimization Modeling and Industrial Research, Science Applications of Clasificación: 51 Matemáticas Resumen: The search for the best possible performance is inherent in human nature. Individuals, enterprises and governments all seek optimal—that is, the best—possible solutions of problems that they meet. Evidently, continuous optimization plays an increasingly significant role in everyday management and technical decisions in science, engineering and commerce. The collection of 16 refereed papers in this book covers a diverse number of topics and provides a good picture of recent research in continuous optimization. The first part of the book presents substantive survey articles in a number of important topic areas of continuous optimization. Most of the papers in the second part present results on the theoretical aspects as well as numerical methods of continuous optimization. The papers in the third part are mainly concerned with applications of continuous optimization. Hence, the book will be an additional valuable source of information to faculty, students, and researchers who use continuous optimization to model and solve problems. Audience This book is intended for researchers in mathematical programming, optimization and operations research; engineers in various fields; and graduate students in applied mathematics, engineering and operations research Nota de contenido: Surveys -- Linear Semi-infinite Optimization: Recent Advances -- Some Theoretical Aspects of Newton’s Method for Constrained Best Interpolation -- Optimization Methods in Direct and Inverse Scattering -- On Complexity of Stochastic Programming Problems -- Nonlinear Optimization in Modeling Environments -- Supervised Data Classification via Max-min Separability -- A Review of Applications of the Cutting Angle Methods -- Theory and Numerical Methods -- A Numerical Method for Concave Programming Problems -- Convexification and Monotone Optimization -- Generalized Lagrange Multipliers for Nonconvex Directionally Differentiable Programs -- Slice Convergence of Sums of Convex functions in Banach Spaces and Saddle Point Convergence -- Topical Functions and their Properties in a Class of Ordered Banach Spaces -- Applications -- Dynamical Systems Described by Relational Elasticities with Applications -- Impulsive Control of a Sequence of Rumour Processes -- Minimization of the Sum of Minima of Convex Functions and Its Application to Clustering -- Analysis of a Practical Control Policy for Water Storage in Two Connected Dams En línea: http://dx.doi.org/10.1007/b137941 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=35102 Continuous Optimization : Current Trends and Modern Applications [documento electrónico] / SpringerLink (Online service) ; Jeyakumar, Vaithilingam ; Rubinov, Alexander . - Boston, MA : Springer US, 2005 . - XVIII, 450 p : online resource. - (Applied Optimization, ISSN 1384-6485; 99) .
ISBN : 978-0-387-26771-5
Idioma : Inglés (eng)
Palabras clave: Mathematics Mathematical analysis Analysis (Mathematics) Applied mathematics Engineering models optimization Operations research Management science Optimization Modeling and Industrial Research, Science Applications of Clasificación: 51 Matemáticas Resumen: The search for the best possible performance is inherent in human nature. Individuals, enterprises and governments all seek optimal—that is, the best—possible solutions of problems that they meet. Evidently, continuous optimization plays an increasingly significant role in everyday management and technical decisions in science, engineering and commerce. The collection of 16 refereed papers in this book covers a diverse number of topics and provides a good picture of recent research in continuous optimization. The first part of the book presents substantive survey articles in a number of important topic areas of continuous optimization. Most of the papers in the second part present results on the theoretical aspects as well as numerical methods of continuous optimization. The papers in the third part are mainly concerned with applications of continuous optimization. Hence, the book will be an additional valuable source of information to faculty, students, and researchers who use continuous optimization to model and solve problems. Audience This book is intended for researchers in mathematical programming, optimization and operations research; engineers in various fields; and graduate students in applied mathematics, engineering and operations research Nota de contenido: Surveys -- Linear Semi-infinite Optimization: Recent Advances -- Some Theoretical Aspects of Newton’s Method for Constrained Best Interpolation -- Optimization Methods in Direct and Inverse Scattering -- On Complexity of Stochastic Programming Problems -- Nonlinear Optimization in Modeling Environments -- Supervised Data Classification via Max-min Separability -- A Review of Applications of the Cutting Angle Methods -- Theory and Numerical Methods -- A Numerical Method for Concave Programming Problems -- Convexification and Monotone Optimization -- Generalized Lagrange Multipliers for Nonconvex Directionally Differentiable Programs -- Slice Convergence of Sums of Convex functions in Banach Spaces and Saddle Point Convergence -- Topical Functions and their Properties in a Class of Ordered Banach Spaces -- Applications -- Dynamical Systems Described by Relational Elasticities with Applications -- Impulsive Control of a Sequence of Rumour Processes -- Minimization of the Sum of Minima of Convex Functions and Its Application to Clustering -- Analysis of a Practical Control Policy for Water Storage in Two Connected Dams En línea: http://dx.doi.org/10.1007/b137941 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=35102 Ejemplares
Signatura Medio Ubicación Sub-localización Sección Estado ningún ejemplar
Título : Mathematical and Computational Models for Congestion Charging Tipo de documento: documento electrónico Autores: SpringerLink (Online service) ; Lawphongpanich, Siriphong ; Hearn, Donald W ; Smith, Michael J Editorial: Boston, MA : Springer US Fecha de publicación: 2006 Colección: Applied Optimization, ISSN 1384-6485 num. 101 Número de páginas: X, 240 p Il.: online resource ISBN/ISSN/DL: 978-0-387-29645-6 Idioma : Inglés (eng) Palabras clave: Mathematics Transportation Operations research Decision making Applied mathematics Engineering Mathematical optimization Automotive engineering Regional economics Spatial Optimization Applications of Operation Research/Decision Theory Regional/Spatial Science Clasificación: 51 Matemáticas Resumen: Although transportation economists have advocated the tolling of urban streets as a mechanism for controlling congestion and managing travel demands for over 50 years, it is only recently that this idea has become practical. When compared to the alternative of building more roads, congestion pricing—in particular via electronic tolling—is attractive and has been adopted in countries around the world. Recent implementations in London, Singapore, and various cities in Norway, as well as a number of projects in the United States, have been judged successful. This book presents rigorous treatments of issues related to congestion pricing. The chapters describe recent advances in areas such as mathematical and computational models for predicting traffic congestion, determining when, where, and how much to levy tolls, and analyzing the impact of tolls on transporation systems. The analyses and methodologies developed in this book provide Mechanisms that aid in determining and comparing congestion pricing schemes; Methodologies for evaluating the efficiency of existing and proposed congestion pricing schemes; A means to predict the impact of pricing on urban transporation systems; Information essential to the financial and political success of congestion pricing programs. Audience This book is intended for applied mathematicians working on transportation problems, transportation scientists and planners, students in transportation science, and students taking advanced courses on transportation science, operations research, and optimization Nota de contenido: Improving Traffic Flows at No Cost -- Relaxed Toll Sets for Congestion Pricing Problems -- Dynamic Pricing: A Learning Approach -- Congestion Pricing of Road Networks with Users Having Different Time Values -- Network Equilibrium Models for Analyzing Toll Highways -- On the Applicability of Sensitivity Analysis Formulas for Traffic Equilibrium Models -- Park and Ride for the Day Period and Morning-Evening Commute -- Bilevel Optimisation of Prices and Signals in Transportation Models -- Minimal Revenue Network Tolling: System Optimisation under Stochastic Assignment -- An Optimal Toll Design Problem with Improved Behavioural Equilibrium Model: The Case of the Probit Model En línea: http://dx.doi.org/10.1007/0-387-29645-X Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=34763 Mathematical and Computational Models for Congestion Charging [documento electrónico] / SpringerLink (Online service) ; Lawphongpanich, Siriphong ; Hearn, Donald W ; Smith, Michael J . - Boston, MA : Springer US, 2006 . - X, 240 p : online resource. - (Applied Optimization, ISSN 1384-6485; 101) .
ISBN : 978-0-387-29645-6
Idioma : Inglés (eng)
Palabras clave: Mathematics Transportation Operations research Decision making Applied mathematics Engineering Mathematical optimization Automotive engineering Regional economics Spatial Optimization Applications of Operation Research/Decision Theory Regional/Spatial Science Clasificación: 51 Matemáticas Resumen: Although transportation economists have advocated the tolling of urban streets as a mechanism for controlling congestion and managing travel demands for over 50 years, it is only recently that this idea has become practical. When compared to the alternative of building more roads, congestion pricing—in particular via electronic tolling—is attractive and has been adopted in countries around the world. Recent implementations in London, Singapore, and various cities in Norway, as well as a number of projects in the United States, have been judged successful. This book presents rigorous treatments of issues related to congestion pricing. The chapters describe recent advances in areas such as mathematical and computational models for predicting traffic congestion, determining when, where, and how much to levy tolls, and analyzing the impact of tolls on transporation systems. The analyses and methodologies developed in this book provide Mechanisms that aid in determining and comparing congestion pricing schemes; Methodologies for evaluating the efficiency of existing and proposed congestion pricing schemes; A means to predict the impact of pricing on urban transporation systems; Information essential to the financial and political success of congestion pricing programs. Audience This book is intended for applied mathematicians working on transportation problems, transportation scientists and planners, students in transportation science, and students taking advanced courses on transportation science, operations research, and optimization Nota de contenido: Improving Traffic Flows at No Cost -- Relaxed Toll Sets for Congestion Pricing Problems -- Dynamic Pricing: A Learning Approach -- Congestion Pricing of Road Networks with Users Having Different Time Values -- Network Equilibrium Models for Analyzing Toll Highways -- On the Applicability of Sensitivity Analysis Formulas for Traffic Equilibrium Models -- Park and Ride for the Day Period and Morning-Evening Commute -- Bilevel Optimisation of Prices and Signals in Transportation Models -- Minimal Revenue Network Tolling: System Optimisation under Stochastic Assignment -- An Optimal Toll Design Problem with Improved Behavioural Equilibrium Model: The Case of the Probit Model En línea: http://dx.doi.org/10.1007/0-387-29645-X Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=34763 Ejemplares
Signatura Medio Ubicación Sub-localización Sección Estado ningún ejemplar
Título : Online Storage Systems and Transportation Problems with Applications : Optimization Models and Mathematical Solutions Tipo de documento: documento electrónico Autores: Kallrath, Julia ; SpringerLink (Online service) Editorial: Boston, MA : Springer US Fecha de publicación: 2005 Colección: Applied Optimization, ISSN 1384-6485 num. 91 Número de páginas: XIV, 222 p Il.: online resource ISBN/ISSN/DL: 978-0-387-23485-4 Idioma : Inglés (eng) Palabras clave: Mathematics Applied mathematics Engineering Algorithms Mathematical models optimization Modeling and Industrial Optimization Applications of Clasificación: 51 Matemáticas Resumen: This books covers the analysis and development of online algorithms involving exact optimization and heuristic techniques, and their application to solve two real life problems. The first problem is concerned with a complex technical system: a special carousel based high-speed storage system - Rotastore. It is shown that this logistic problem leads to an NP-hard Batch PreSorting problem which is not easy to solve optimally in offline situations. The author considered a polynomial case and developed an exact algorithm for offline situations. Competitive analysis showed that the proposed online algorithm is 3/2-competitive. Online algorithms with lookahead, improve the online solutions in particular cases. If the capacity constraint on additional storage is neglected the problem has a totally unimodular polyhedron. The second problem originates in the health sector and leads to a vehicle routing problem. Reasonable solutions for the offline case covering a whole day with a few hundred orders are constructed with a heuristic approach, as well as by simulated annealing. Optimal solutions for typical online instances are computed by an efficient column enumeration approach leading to a set partitioning problem and a set of routing-scheduling subproblems. The latter are solved exactly with a branch-and-bound method which prunes nodes if they are value-dominated by previous found solutions or if they are infeasible with respect to the capacity or temporal constraints. The branch-and-bound method developed is suitable to solve any kind of sequencing-scheduling problem involving accumulative objective functions and constraints, which can be evaluated sequentially. The column enumeration approach the author has developed to solve this hospital problem is of general nature and thus can be embedded into any decision-support system involving assigning, sequencing and scheduling Nota de contenido: Batch Presorting Problems. I Models and Solution Approaches -- Batch Presorting Problems. II Applications in Inventory Logistics -- Vehicle Routing Problems in Hospital Transportation. I Models and Solution Approaches -- Vehicle Routing Problems in Hospital Transportation. II Applications and Case Studies -- Summary En línea: http://dx.doi.org/10.1007/0-387-23485-3 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=35065 Online Storage Systems and Transportation Problems with Applications : Optimization Models and Mathematical Solutions [documento electrónico] / Kallrath, Julia ; SpringerLink (Online service) . - Boston, MA : Springer US, 2005 . - XIV, 222 p : online resource. - (Applied Optimization, ISSN 1384-6485; 91) .
ISBN : 978-0-387-23485-4
Idioma : Inglés (eng)
Palabras clave: Mathematics Applied mathematics Engineering Algorithms Mathematical models optimization Modeling and Industrial Optimization Applications of Clasificación: 51 Matemáticas Resumen: This books covers the analysis and development of online algorithms involving exact optimization and heuristic techniques, and their application to solve two real life problems. The first problem is concerned with a complex technical system: a special carousel based high-speed storage system - Rotastore. It is shown that this logistic problem leads to an NP-hard Batch PreSorting problem which is not easy to solve optimally in offline situations. The author considered a polynomial case and developed an exact algorithm for offline situations. Competitive analysis showed that the proposed online algorithm is 3/2-competitive. Online algorithms with lookahead, improve the online solutions in particular cases. If the capacity constraint on additional storage is neglected the problem has a totally unimodular polyhedron. The second problem originates in the health sector and leads to a vehicle routing problem. Reasonable solutions for the offline case covering a whole day with a few hundred orders are constructed with a heuristic approach, as well as by simulated annealing. Optimal solutions for typical online instances are computed by an efficient column enumeration approach leading to a set partitioning problem and a set of routing-scheduling subproblems. The latter are solved exactly with a branch-and-bound method which prunes nodes if they are value-dominated by previous found solutions or if they are infeasible with respect to the capacity or temporal constraints. The branch-and-bound method developed is suitable to solve any kind of sequencing-scheduling problem involving accumulative objective functions and constraints, which can be evaluated sequentially. The column enumeration approach the author has developed to solve this hospital problem is of general nature and thus can be embedded into any decision-support system involving assigning, sequencing and scheduling Nota de contenido: Batch Presorting Problems. I Models and Solution Approaches -- Batch Presorting Problems. II Applications in Inventory Logistics -- Vehicle Routing Problems in Hospital Transportation. I Models and Solution Approaches -- Vehicle Routing Problems in Hospital Transportation. II Applications and Case Studies -- Summary En línea: http://dx.doi.org/10.1007/0-387-23485-3 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=35065 Ejemplares
Signatura Medio Ubicación Sub-localización Sección Estado ningún ejemplar
Título : Optimal Control Models in Finance : A New Computational Approach Tipo de documento: documento electrónico Autores: Chen, Ping ; SpringerLink (Online service) ; Islam, Sardar M. N Editorial: Boston, MA : Springer US Fecha de publicación: 2005 Colección: Applied Optimization, ISSN 1384-6485 num. 95 Número de páginas: XVIII, 201 p Il.: online resource ISBN/ISSN/DL: 978-0-387-23570-7 Idioma : Inglés (eng) Palabras clave: Mathematics Mathematical optimization Calculus of variations Variations and Optimal Control; Optimization Clasificación: 51 Matemáticas Resumen: The determination of optimal financing and investment strategies (optimal capital structure or optimal mix of funds, optimal portfolio choice, etc.) for corporations and the economy are important for efficient allocation of resources in the economy. Optimal control methods have useful applications to these areas in finance - some optimization problems in finance include optimal control, involving a dynamic system with switching times in the form of bang-bang control. Optimal control models for corporate finance and the economy are presented in this book and the analytical and computational results of these models are also reported. Such computational approaches to the study of optimal corporate financing are not well known in the existing literature. This book develops a new computational method where switching times are considered as variables in the optimal dynamic financial model represented by a second order differential equation. A new computer program named CSTVA (Computer Program for the Switching Time Variables Algorithm), which can compute bang-bang optimal financial models with switching time, is also developed. Optimal financing implications of the model results in the form of optimal switching times for changes in financing policies and the optimal financial policies are analyzed Nota de contenido: Optimal Control Models in Finance -- The STV Approach to Financial Optimal Control Models -- A Financial Oscillator Model -- An Optimal Corporate Financing Model -- Further Computational Experiments and Results -- Conclusion En línea: http://dx.doi.org/10.1007/b101888 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=35071 Optimal Control Models in Finance : A New Computational Approach [documento electrónico] / Chen, Ping ; SpringerLink (Online service) ; Islam, Sardar M. N . - Boston, MA : Springer US, 2005 . - XVIII, 201 p : online resource. - (Applied Optimization, ISSN 1384-6485; 95) .
ISBN : 978-0-387-23570-7
Idioma : Inglés (eng)
Palabras clave: Mathematics Mathematical optimization Calculus of variations Variations and Optimal Control; Optimization Clasificación: 51 Matemáticas Resumen: The determination of optimal financing and investment strategies (optimal capital structure or optimal mix of funds, optimal portfolio choice, etc.) for corporations and the economy are important for efficient allocation of resources in the economy. Optimal control methods have useful applications to these areas in finance - some optimization problems in finance include optimal control, involving a dynamic system with switching times in the form of bang-bang control. Optimal control models for corporate finance and the economy are presented in this book and the analytical and computational results of these models are also reported. Such computational approaches to the study of optimal corporate financing are not well known in the existing literature. This book develops a new computational method where switching times are considered as variables in the optimal dynamic financial model represented by a second order differential equation. A new computer program named CSTVA (Computer Program for the Switching Time Variables Algorithm), which can compute bang-bang optimal financial models with switching time, is also developed. Optimal financing implications of the model results in the form of optimal switching times for changes in financing policies and the optimal financial policies are analyzed Nota de contenido: Optimal Control Models in Finance -- The STV Approach to Financial Optimal Control Models -- A Financial Oscillator Model -- An Optimal Corporate Financing Model -- Further Computational Experiments and Results -- Conclusion En línea: http://dx.doi.org/10.1007/b101888 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=35071 Ejemplares
Signatura Medio Ubicación Sub-localización Sección Estado ningún ejemplar
PermalinkPermalink
Permalink
Permalink
Permalink
Permalink
