Información del autor
Autor Pardalos, Panos M |
Documentos disponibles escritos por este autor (44)
Refinar búsquedaAdvances in Modeling Agricultural Systems / SpringerLink (Online service) ; Pardalos, Panos M ; Papajorgji, Petraq J (2009)
Título : Advances in Modeling Agricultural Systems Tipo de documento: documento electrónico Autores: SpringerLink (Online service) ; Pardalos, Panos M ; Papajorgji, Petraq J Editorial: Boston, MA : Springer US Fecha de publicación: 2009 Colección: Springer Optimization and Its Applications, ISSN 1931-6828 num. 25 Número de páginas: X, 522 p. 172 illus Il.: online resource ISBN/ISSN/DL: 978-0-387-75181-8 Idioma : Inglés (eng) Palabras clave: Mathematics Information technology Business Data processing Software engineering Computer simulation Agriculture mathematics Computational Science and Engineering Simulation Modeling Environmental Monitoring/Analysis IT in Clasificación: 51 Matemáticas Resumen: This book presents an up-to-date review of advances in the mathematical modeling of agricultural systems. It covers a broad spectrum of problems and applications based on internet and communications technology, as well as methodological approaches based on the integration of different simulation and data management tools. Using real-world cases, each chapter presents a detailed solution of a problem in a particular field. This book demonstrates that regardless of the nature of the problem and the application domain, modeling is a central and important activity in the process of developing agricultural systems. Researchers and graduate students in the fields of agriculture and environmental studies will benefit from this book. It will also serve as an excellent reference for managers, team leaders, developers and modelers of agricultural and environmental systems and researchers in the applied computation field Nota de contenido: The Model Driven ArchitectureModel Driven Architecture MDA Approach: A Framework for Developing Complex Agricultural Systems -- A New Methodology to Automate the Transformation of GISGIS Models in an Iterative iterative Development Process -- Application of a Model Transformation Transformation Paradigm in Agriculture: A Simple Environmental environmental System Case Study -- Constraints Modeling in Agricultural Databases -- Design of a Model model -Driven Web Decision Support System decision support system in Agriculture agriculture : From Scientific Models to the Final Software -- How2QnD: Design and Construction of a Game-Style, Environmental Simulation Engine and Interface Using UML, XML, and Java -- The Use of UML as a Tool for the Formalisation of Standards and the Design of Ontologies in Agriculture -- Modeling External Information Needs of Food Business Networks -- Enterprise Business Modelling Languages Applied to Farm Enterprise: A Case Study for IDEF0, GRAI Grid, and AMS Languages -- A UML-Based Plug&Play Version of RothC -- Ontology-Based Simulation Applied to Soil, Water, and Nutrient Management -- Precision Farming, Myth or Reality: Selected Case Studies from Mississippi Cotton Fields -- Rural Development Through Input–Output Modeling -- Modeling in Nutrient Sensing for Agricultural and Environmental Applications -- Estimation of Land Surface Parameters Through Modeling Inversion of Earth Observation Optical Data -- A Stochastic Dynamic Programming Model for Valuing a Eucalyptus Investment -- Modelling Water Flow water flow and Solute Transport in Heterogeneous Unsaturated Porous Media -- Genome Analysis of Species of Agricultural Interest -- Modeling and Solving Real-Life Global Optimization Problems with Meta-heuristic Methods -- Modeling and Device Development for Chlorophyll Estimation in Vegetation -- Clustering and Classification Algorithms in Food and Agricultural Applications: A Survey -- Mathematical Modelling of Modified Atmosphere Package: An Engineering Approach to Design Packaging Systems for Fresh-Cut Produce En línea: http://dx.doi.org/10.1007/978-0-387-75181-8 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=33858 Advances in Modeling Agricultural Systems [documento electrónico] / SpringerLink (Online service) ; Pardalos, Panos M ; Papajorgji, Petraq J . - Boston, MA : Springer US, 2009 . - X, 522 p. 172 illus : online resource. - (Springer Optimization and Its Applications, ISSN 1931-6828; 25) .
ISBN : 978-0-387-75181-8
Idioma : Inglés (eng)
Palabras clave: Mathematics Information technology Business Data processing Software engineering Computer simulation Agriculture mathematics Computational Science and Engineering Simulation Modeling Environmental Monitoring/Analysis IT in Clasificación: 51 Matemáticas Resumen: This book presents an up-to-date review of advances in the mathematical modeling of agricultural systems. It covers a broad spectrum of problems and applications based on internet and communications technology, as well as methodological approaches based on the integration of different simulation and data management tools. Using real-world cases, each chapter presents a detailed solution of a problem in a particular field. This book demonstrates that regardless of the nature of the problem and the application domain, modeling is a central and important activity in the process of developing agricultural systems. Researchers and graduate students in the fields of agriculture and environmental studies will benefit from this book. It will also serve as an excellent reference for managers, team leaders, developers and modelers of agricultural and environmental systems and researchers in the applied computation field Nota de contenido: The Model Driven ArchitectureModel Driven Architecture MDA Approach: A Framework for Developing Complex Agricultural Systems -- A New Methodology to Automate the Transformation of GISGIS Models in an Iterative iterative Development Process -- Application of a Model Transformation Transformation Paradigm in Agriculture: A Simple Environmental environmental System Case Study -- Constraints Modeling in Agricultural Databases -- Design of a Model model -Driven Web Decision Support System decision support system in Agriculture agriculture : From Scientific Models to the Final Software -- How2QnD: Design and Construction of a Game-Style, Environmental Simulation Engine and Interface Using UML, XML, and Java -- The Use of UML as a Tool for the Formalisation of Standards and the Design of Ontologies in Agriculture -- Modeling External Information Needs of Food Business Networks -- Enterprise Business Modelling Languages Applied to Farm Enterprise: A Case Study for IDEF0, GRAI Grid, and AMS Languages -- A UML-Based Plug&Play Version of RothC -- Ontology-Based Simulation Applied to Soil, Water, and Nutrient Management -- Precision Farming, Myth or Reality: Selected Case Studies from Mississippi Cotton Fields -- Rural Development Through Input–Output Modeling -- Modeling in Nutrient Sensing for Agricultural and Environmental Applications -- Estimation of Land Surface Parameters Through Modeling Inversion of Earth Observation Optical Data -- A Stochastic Dynamic Programming Model for Valuing a Eucalyptus Investment -- Modelling Water Flow water flow and Solute Transport in Heterogeneous Unsaturated Porous Media -- Genome Analysis of Species of Agricultural Interest -- Modeling and Solving Real-Life Global Optimization Problems with Meta-heuristic Methods -- Modeling and Device Development for Chlorophyll Estimation in Vegetation -- Clustering and Classification Algorithms in Food and Agricultural Applications: A Survey -- Mathematical Modelling of Modified Atmosphere Package: An Engineering Approach to Design Packaging Systems for Fresh-Cut Produce En línea: http://dx.doi.org/10.1007/978-0-387-75181-8 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=33858 Ejemplares
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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
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Título : Cell Formation in Industrial Engineering : Theory, Algorithms and Experiments Tipo de documento: documento electrónico Autores: Goldengorin, Boris ; SpringerLink (Online service) ; Krushinsky, Dmitry ; Pardalos, Panos M Editorial: New York, NY : Springer New York Fecha de publicación: 2013 Otro editor: Imprint: Springer Colección: Springer Optimization and Its Applications, ISSN 1931-6828 num. 79 Número de páginas: XIV, 206 p Il.: online resource ISBN/ISSN/DL: 978-1-4614-8002-0 Idioma : Inglés (eng) Palabras clave: Mathematics Computer mathematics Mathematical models Operations research Management science Computational Science and Engineering Research, Modeling Industrial Clasificación: 51 Matemáticas Resumen: This book focuses on a development of optimal, flexible, and efficient models and algorithms for cell formation in group technology. Its main aim is to provide a reliable tool that can be used by managers and engineers to design manufacturing cells based on their own preferences and constraints imposed by a particular manufacturing system. This tool could potentially lower production costs by minimizing other costs in a number of areas, thereby increasing profit in a manufacturing system. In the volume, the cell formation problem is considered in a systematic and formalized way, and several models are proposed, both heuristic and exact. The models are based on general clustering problems, and are flexible enough to allow for various objectives and constraints. The authors also provide results of numerical experiments involving both artificial data from academic papers in the field and real manufacturing data to certify the appropriateness of the models proposed. The book was intended to suit the broadest possible audience, and thus all algorithmic details are given in a detailed description with multiple numerical examples and informal explanations are provided for the theoretical results. In addition to managers and industrial engineers, this book is intended for academic researchers and students. It will also be attractive to many theoreticians, since it addresses many open problems in computer science and bioinformatics Nota de contenido: 1. The problem of cell formation -- 2. The p-Median problem -- 3. Application of the PMP to cell formation in group technology -- 4. The minimum multicut problem and an exact model for cell formation -- 5. Multiobjective nature of cell formation -- 6. Pattern-based heuristic for the cell formation problem in group technology -- 7. Branch-and-bound algorithm for bi-criterion cell formation problems -- 8. Summary and conclusions -- A. Solutions to the 35 CF instances from [71] -- Index -- References En línea: http://dx.doi.org/10.1007/978-1-4614-8002-0 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=32375 Cell Formation in Industrial Engineering : Theory, Algorithms and Experiments [documento electrónico] / Goldengorin, Boris ; SpringerLink (Online service) ; Krushinsky, Dmitry ; Pardalos, Panos M . - New York, NY : Springer New York : Imprint: Springer, 2013 . - XIV, 206 p : online resource. - (Springer Optimization and Its Applications, ISSN 1931-6828; 79) .
ISBN : 978-1-4614-8002-0
Idioma : Inglés (eng)
Palabras clave: Mathematics Computer mathematics Mathematical models Operations research Management science Computational Science and Engineering Research, Modeling Industrial Clasificación: 51 Matemáticas Resumen: This book focuses on a development of optimal, flexible, and efficient models and algorithms for cell formation in group technology. Its main aim is to provide a reliable tool that can be used by managers and engineers to design manufacturing cells based on their own preferences and constraints imposed by a particular manufacturing system. This tool could potentially lower production costs by minimizing other costs in a number of areas, thereby increasing profit in a manufacturing system. In the volume, the cell formation problem is considered in a systematic and formalized way, and several models are proposed, both heuristic and exact. The models are based on general clustering problems, and are flexible enough to allow for various objectives and constraints. The authors also provide results of numerical experiments involving both artificial data from academic papers in the field and real manufacturing data to certify the appropriateness of the models proposed. The book was intended to suit the broadest possible audience, and thus all algorithmic details are given in a detailed description with multiple numerical examples and informal explanations are provided for the theoretical results. In addition to managers and industrial engineers, this book is intended for academic researchers and students. It will also be attractive to many theoreticians, since it addresses many open problems in computer science and bioinformatics Nota de contenido: 1. The problem of cell formation -- 2. The p-Median problem -- 3. Application of the PMP to cell formation in group technology -- 4. The minimum multicut problem and an exact model for cell formation -- 5. Multiobjective nature of cell formation -- 6. Pattern-based heuristic for the cell formation problem in group technology -- 7. Branch-and-bound algorithm for bi-criterion cell formation problems -- 8. Summary and conclusions -- A. Solutions to the 35 CF instances from [71] -- Index -- References En línea: http://dx.doi.org/10.1007/978-1-4614-8002-0 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=32375 Ejemplares
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Título : Computational Neuroscience Tipo de documento: documento electrónico Autores: SpringerLink (Online service) ; Chaovalitwongse, Wanpracha ; Pardalos, Panos M ; Xanthopoulos, Petros Editorial: New York, NY : Springer New York Fecha de publicación: 2010 Otro editor: Imprint: Springer Colección: Springer Optimization and Its Applications, ISSN 1931-6828 num. 38 Número de páginas: XVI, 396 p Il.: online resource ISBN/ISSN/DL: 978-0-387-88630-5 Idioma : Inglés (eng) Palabras clave: Medicine Neurosciences Health informatics Computer mathematics Mathematical models Biomedical engineering Biomedicine Informatics Engineering Computational Mathematics and Numerical Analysis Modeling Industrial Clasificación: 51 Matemáticas Resumen: The human brain is among the most complex systems known to mankind. Neuroscientists seek to understand brain function through detailed analysis of neuronal excitability and synaptic transmission. Only in the last few years has it become feasible to capture simultaneous responses from a large enough number of neurons to empirically test the theories of human brain function computationally. This book is comprised of state-of-the-art experiments and computational techniques that provide new insights and improve our understanding of the human brain. This volume includes contributions from diverse disciplines including electrical engineering, biomedical engineering, industrial engineering, and medicine, bridging a vital gap between the mathematical sciences and neuroscience research. Covering a wide range of research topics, this volume demonstrates how various methods from data mining, signal processing, optimization and cutting-edge medical techniques can be used to tackle the most challenging problems in modern neuroscience. The results presented in this book are of great interest and value to scientists, graduate students, researchers and medical practitioners interested in the most recent developments in computational neuroscience Nota de contenido: Data Mining -- Optimization in Reproducing Kernel Hilbert Spaces of Spike Trains -- Investigating Functional Cooperation in the Human Brain Using Simple Graph-Theoretic Methods -- Methodological Framework for EEG Feature Selection Based on Spectral and Temporal Profiles -- Blind Source Separation of Concurrent Disease-Related Patterns from EEG in Creutzfeldt–Jakob Disease for Assisting Early Diagnosis -- Comparison of Supervised Classification Methods with Various Data Preprocessing Procedures for Activation Detection in fMRI Data -- Recent Advances of Data Biclustering with Application in Computational Neuroscience -- A Genetic Classifier Account for the Regulation of Expression -- Modeling -- Neuroelectromagnetic Source Imaging of Brain Dynamics -- Optimization in Brain? - Modeling Human Behavior and Brain Activation Patterns with Queuing Network and Reinforcement Learning Algorithms -- Neural Network Modeling of Voluntary Single-Joint Movement Organization I. Normal Conditions -- Neural Network Modeling of Voluntary Single-Joint Movement Organization II. Parkinson’s Disease -- Parametric Modeling Analysis of Optical Imaging Data on Neuronal Activities in the Brain -- Advances Toward Closed-Loop Deep Brain Stimulation -- Molecule-Inspired Methods for Coarse-Grain Multi-System Optimization -- Brain Dynamics/Synchronization -- A Robust Estimation of Information Flow in Coupled Nonlinear Systems -- An Optimization Approach for Finding a Spectrum of Lyapunov Exponents -- Dynamical Analysis of the EEG and Treatment of Human Status Epilepticus by Antiepileptic Drugs -- Analysis of Multichannel EEG Recordings Based on Generalized Phase Synchronization and Cointegrated VAR -- Antiepileptic Therapy Reduces Coupling Strength Among Brain Cortical Regions in Patients with Unverricht–Lundborg Disease: A Pilot Study -- Seizure Monitoring and Alert System for Brain Monitoring in an Intensive Care Unit En línea: http://dx.doi.org/10.1007/978-0-387-88630-5 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=33519 Computational Neuroscience [documento electrónico] / SpringerLink (Online service) ; Chaovalitwongse, Wanpracha ; Pardalos, Panos M ; Xanthopoulos, Petros . - New York, NY : Springer New York : Imprint: Springer, 2010 . - XVI, 396 p : online resource. - (Springer Optimization and Its Applications, ISSN 1931-6828; 38) .
ISBN : 978-0-387-88630-5
Idioma : Inglés (eng)
Palabras clave: Medicine Neurosciences Health informatics Computer mathematics Mathematical models Biomedical engineering Biomedicine Informatics Engineering Computational Mathematics and Numerical Analysis Modeling Industrial Clasificación: 51 Matemáticas Resumen: The human brain is among the most complex systems known to mankind. Neuroscientists seek to understand brain function through detailed analysis of neuronal excitability and synaptic transmission. Only in the last few years has it become feasible to capture simultaneous responses from a large enough number of neurons to empirically test the theories of human brain function computationally. This book is comprised of state-of-the-art experiments and computational techniques that provide new insights and improve our understanding of the human brain. This volume includes contributions from diverse disciplines including electrical engineering, biomedical engineering, industrial engineering, and medicine, bridging a vital gap between the mathematical sciences and neuroscience research. Covering a wide range of research topics, this volume demonstrates how various methods from data mining, signal processing, optimization and cutting-edge medical techniques can be used to tackle the most challenging problems in modern neuroscience. The results presented in this book are of great interest and value to scientists, graduate students, researchers and medical practitioners interested in the most recent developments in computational neuroscience Nota de contenido: Data Mining -- Optimization in Reproducing Kernel Hilbert Spaces of Spike Trains -- Investigating Functional Cooperation in the Human Brain Using Simple Graph-Theoretic Methods -- Methodological Framework for EEG Feature Selection Based on Spectral and Temporal Profiles -- Blind Source Separation of Concurrent Disease-Related Patterns from EEG in Creutzfeldt–Jakob Disease for Assisting Early Diagnosis -- Comparison of Supervised Classification Methods with Various Data Preprocessing Procedures for Activation Detection in fMRI Data -- Recent Advances of Data Biclustering with Application in Computational Neuroscience -- A Genetic Classifier Account for the Regulation of Expression -- Modeling -- Neuroelectromagnetic Source Imaging of Brain Dynamics -- Optimization in Brain? - Modeling Human Behavior and Brain Activation Patterns with Queuing Network and Reinforcement Learning Algorithms -- Neural Network Modeling of Voluntary Single-Joint Movement Organization I. Normal Conditions -- Neural Network Modeling of Voluntary Single-Joint Movement Organization II. Parkinson’s Disease -- Parametric Modeling Analysis of Optical Imaging Data on Neuronal Activities in the Brain -- Advances Toward Closed-Loop Deep Brain Stimulation -- Molecule-Inspired Methods for Coarse-Grain Multi-System Optimization -- Brain Dynamics/Synchronization -- A Robust Estimation of Information Flow in Coupled Nonlinear Systems -- An Optimization Approach for Finding a Spectrum of Lyapunov Exponents -- Dynamical Analysis of the EEG and Treatment of Human Status Epilepticus by Antiepileptic Drugs -- Analysis of Multichannel EEG Recordings Based on Generalized Phase Synchronization and Cointegrated VAR -- Antiepileptic Therapy Reduces Coupling Strength Among Brain Cortical Regions in Patients with Unverricht–Lundborg Disease: A Pilot Study -- Seizure Monitoring and Alert System for Brain Monitoring in an Intensive Care Unit En línea: http://dx.doi.org/10.1007/978-0-387-88630-5 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=33519 Ejemplares
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Título : Data Correcting Approaches in Combinatorial Optimization Tipo de documento: documento electrónico Autores: Goldengorin, Boris ; SpringerLink (Online service) ; Pardalos, Panos M Editorial: New York, NY : Springer New York Fecha de publicación: 2012 Otro editor: Imprint: Springer Colección: SpringerBriefs in Optimization, ISSN 2190-8354 Número de páginas: X, 114 p. 41 illus Il.: online resource ISBN/ISSN/DL: 978-1-4614-5286-7 Idioma : Inglés (eng) Palabras clave: Mathematics Data structures (Computer science) Algorithms Mathematical optimization Graph theory Theory Optimization Structures Algorithm Analysis and Problem Complexity Clasificación: 51 Matemáticas Resumen: Data Correcting Approaches in Combinatorial Optimization focuses on algorithmic applications of the well known polynomially solvable special cases of computationally intractable problems. The purpose of this text is to design practically efficient algorithms for solving wide classes of combinatorial optimization problems. Researches, students and engineers will benefit from new bounds and branching rules in development efficient branch-and-bound type computational algorithms. This book examines applications for solving the Traveling Salesman Problem and its variations, Maximum Weight Independent Set Problem, Different Classes of Allocation and Cluster Analysis as well as some classes of Scheduling Problems. Data Correcting Algorithms in Combinatorial Optimization introduces the data correcting approach to algorithms which provide an answer to the following questions: how to construct a bound to the original intractable problem and find which element of the corrected instance one should branch such that the total size of search tree will be minimized. The PC time needed for solving intractable problems will be adjusted with the requirements for solving real world problems En línea: http://dx.doi.org/10.1007/978-1-4614-5286-7 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=32852 Data Correcting Approaches in Combinatorial Optimization [documento electrónico] / Goldengorin, Boris ; SpringerLink (Online service) ; Pardalos, Panos M . - New York, NY : Springer New York : Imprint: Springer, 2012 . - X, 114 p. 41 illus : online resource. - (SpringerBriefs in Optimization, ISSN 2190-8354) .
ISBN : 978-1-4614-5286-7
Idioma : Inglés (eng)
Palabras clave: Mathematics Data structures (Computer science) Algorithms Mathematical optimization Graph theory Theory Optimization Structures Algorithm Analysis and Problem Complexity Clasificación: 51 Matemáticas Resumen: Data Correcting Approaches in Combinatorial Optimization focuses on algorithmic applications of the well known polynomially solvable special cases of computationally intractable problems. The purpose of this text is to design practically efficient algorithms for solving wide classes of combinatorial optimization problems. Researches, students and engineers will benefit from new bounds and branching rules in development efficient branch-and-bound type computational algorithms. This book examines applications for solving the Traveling Salesman Problem and its variations, Maximum Weight Independent Set Problem, Different Classes of Allocation and Cluster Analysis as well as some classes of Scheduling Problems. Data Correcting Algorithms in Combinatorial Optimization introduces the data correcting approach to algorithms which provide an answer to the following questions: how to construct a bound to the original intractable problem and find which element of the corrected instance one should branch such that the total size of search tree will be minimized. The PC time needed for solving intractable problems will be adjusted with the requirements for solving real world problems En línea: http://dx.doi.org/10.1007/978-1-4614-5286-7 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=32852 Ejemplares
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