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Refinar búsquedaControl of Spatially Structured Random Processes and Random Fields with Applications / Chornei, Ruslan K (2006)
Título : Control of Spatially Structured Random Processes and Random Fields with Applications Tipo de documento: documento electrónico Autores: Chornei, Ruslan K ; SpringerLink (Online service) ; Daduna, Hans ; Knopov, Pavel S Editorial: Boston, MA : Springer US Fecha de publicación: 2006 Colección: Nonconvex Optimization and Its Applications, ISSN 1571-568X num. 86 Número de páginas: XIV, 262 p Il.: online resource ISBN/ISSN/DL: 978-0-387-31279-8 Idioma : Inglés (eng) Palabras clave: Mathematics Applied mathematics Engineering Game theory System Operations research Management science Probabilities Probability Theory and Stochastic Processes Systems Theory, Control Applications of Research, Science Economics, Social Behav. Sciences Clasificación: 51 Matemáticas Resumen: This book is devoted to the study and optimization of spatiotemporal stochastic processes, that is, processes which develop simultaneously in space and time under random influences. These processes are seen to occur almost everywhere when studying the global behavior of complex systems, including • physical and technical systems, • population dynamics, • neural networks, • computer and telecommunication networks, • complex production networks, • flexible manufacturing systems, • logistic networks and transportation systems, • environmental engineering, • climate modelling and prediction, • earth surface models. Classical stochastic dynamic optimization forms the framework of the book. Taken as a whole, the project undertaken in the book is to establish optimality or near-optimality for Markovian policies in the control of spatiotemporal Markovian processes. The authors apply this general principle to different frameworks of Markovian systems and processes. Depending on the structure of the systems and the surroundings of the model classes the authors arrive at different levels of simplicity for the policy classes which encompass optimal or nearly optimal policies. A set of examples accompanies the theoretical findings, and these examples should demonstrate some important application areas for the theorems discussed. Audience This book is intended for experts in applied mathematics, cybernetics, and in the theory of optimal control Nota de contenido: Prerequisites from the Theory of Stochastic Processes and Stochastic Dynamic Optimization -- Local Control of Discrete Time Interacting Markov Processes with Graph Structured State Space -- Sequential Stochastic Games with Distributed Players on Graphs -- Local Control of Continuous Time Interacting Markov and Semi-Markov Processes with Graph Structured State Space -- Connections with Optimization of Random Field in Different Areas En línea: http://dx.doi.org/10.1007/b120940 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=34787 Control of Spatially Structured Random Processes and Random Fields with Applications [documento electrónico] / Chornei, Ruslan K ; SpringerLink (Online service) ; Daduna, Hans ; Knopov, Pavel S . - Boston, MA : Springer US, 2006 . - XIV, 262 p : online resource. - (Nonconvex Optimization and Its Applications, ISSN 1571-568X; 86) .
ISBN : 978-0-387-31279-8
Idioma : Inglés (eng)
Palabras clave: Mathematics Applied mathematics Engineering Game theory System Operations research Management science Probabilities Probability Theory and Stochastic Processes Systems Theory, Control Applications of Research, Science Economics, Social Behav. Sciences Clasificación: 51 Matemáticas Resumen: This book is devoted to the study and optimization of spatiotemporal stochastic processes, that is, processes which develop simultaneously in space and time under random influences. These processes are seen to occur almost everywhere when studying the global behavior of complex systems, including • physical and technical systems, • population dynamics, • neural networks, • computer and telecommunication networks, • complex production networks, • flexible manufacturing systems, • logistic networks and transportation systems, • environmental engineering, • climate modelling and prediction, • earth surface models. Classical stochastic dynamic optimization forms the framework of the book. Taken as a whole, the project undertaken in the book is to establish optimality or near-optimality for Markovian policies in the control of spatiotemporal Markovian processes. The authors apply this general principle to different frameworks of Markovian systems and processes. Depending on the structure of the systems and the surroundings of the model classes the authors arrive at different levels of simplicity for the policy classes which encompass optimal or nearly optimal policies. A set of examples accompanies the theoretical findings, and these examples should demonstrate some important application areas for the theorems discussed. Audience This book is intended for experts in applied mathematics, cybernetics, and in the theory of optimal control Nota de contenido: Prerequisites from the Theory of Stochastic Processes and Stochastic Dynamic Optimization -- Local Control of Discrete Time Interacting Markov Processes with Graph Structured State Space -- Sequential Stochastic Games with Distributed Players on Graphs -- Local Control of Continuous Time Interacting Markov and Semi-Markov Processes with Graph Structured State Space -- Connections with Optimization of Random Field in Different Areas En línea: http://dx.doi.org/10.1007/b120940 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=34787 Ejemplares
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Título : Generalized Convexity, Generalized Monotonicity and Applications : Proceedings of the 7th International Symposium on Generalized Convexity and Generalized Monotonicity Tipo de documento: documento electrónico Autores: SpringerLink (Online service) ; Eberhard, Andrew ; Hadjisavvas, Nicolas ; Luc, Dinh The Editorial: Boston, MA : Springer US Fecha de publicación: 2005 Colección: Nonconvex Optimization and Its Applications, ISSN 1571-568X num. 77 Número de páginas: X, 350 p. 6 illus Il.: online resource ISBN/ISSN/DL: 978-0-387-23639-1 Idioma : Inglés (eng) Palabras clave: Mathematics Game theory Mathematical optimization Calculus of variations Operations research Management science Research, Science Optimization Variations and Optimal Control; Theory, Economics, Social Behav. Sciences Clasificación: 51 Matemáticas Resumen: This volume contains a collection of refereed articles on generalized convexity and generalized monotonicity. The first part of the book contains invited papers by leading experts (J.M. Borwein, R.E. Burkard, B.S. Mordukhovich and H. Tuy) with applications of (generalized) convexity to such diverse fields as algebraic dynamics of the Gamma function values, discrete optimization, Lipschitzian stability of parametric constraint systems, and monotonicity of functions. The second part contains contributions presenting the latest developments in generalized convexity and generalized monotonicity: its connections with discrete and with continuous optimization, multiobjective optimization, fractional programming, nonsmooth Aanalysis, variational inequalities, and its applications to concrete problems such as finding equilibrium prices in mathematical economics, or hydrothermal scheduling. Audience This volume is suitable for faculty, graduate students, and researchers in mathematical programming, operations research, convex analysis, nonsmooth analysis, game theory and mathematical economics Nota de contenido: Invited Papers -- Algebraic Dynamics of Certain Gamma Function Values -- (Generalized) Convexity and Discrete Optimization -- Lipschitzian Stability of Parametric Constraint Systems in Infinite Dimensions -- Monotonicity in the Framework of Generalized Convexity -- Contributed Papers -- On the Contraction and Nonexpansiveness Properties of the Marginal Mappings in Generalized Variational Inequalities Involving Co-Coercive Operators -- A Projection-Type Algorithm for Pseudomonotone Nonlipschitzian Multivalued Variational Inequalities -- Duality in Multiobjective Optimization Problems with Set Constraints -- Duality in Fractional Programming Problems with Set Constraints -- On the Pseudoconvexity of the Sum of Two Linear Fractional Functions -- Bonnesen-Type Inequalities and Applications -- Characterizing Invex and Related Properties -- Minty Variational Inequality and Optimization: Scalar and Vector Case -- Second Order Optimality Conditions for Nonsmooth Multiobjective Optimization Problems -- Second Order Subdifferentials Constructed Using Integral Convolutions Smoothing -- Applying Global Optimization to a Problem in Short-Term Hydrothermal Scheduling -- ?-Optimality for Nonsmooth Programming on a Hilbert Space -- Identification of Hidden Convex Minimization Problems -- On Vector Quasi-Saddle Points of Set-Valued Maps -- New Generalized Invexity for Duality in Multiobjective Programming Problems Involving N-Set Functions -- Equilibrium Prices and Quasiconvex Duality En línea: http://dx.doi.org/10.1007/b102138 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=35074 Generalized Convexity, Generalized Monotonicity and Applications : Proceedings of the 7th International Symposium on Generalized Convexity and Generalized Monotonicity [documento electrónico] / SpringerLink (Online service) ; Eberhard, Andrew ; Hadjisavvas, Nicolas ; Luc, Dinh The . - Boston, MA : Springer US, 2005 . - X, 350 p. 6 illus : online resource. - (Nonconvex Optimization and Its Applications, ISSN 1571-568X; 77) .
ISBN : 978-0-387-23639-1
Idioma : Inglés (eng)
Palabras clave: Mathematics Game theory Mathematical optimization Calculus of variations Operations research Management science Research, Science Optimization Variations and Optimal Control; Theory, Economics, Social Behav. Sciences Clasificación: 51 Matemáticas Resumen: This volume contains a collection of refereed articles on generalized convexity and generalized monotonicity. The first part of the book contains invited papers by leading experts (J.M. Borwein, R.E. Burkard, B.S. Mordukhovich and H. Tuy) with applications of (generalized) convexity to such diverse fields as algebraic dynamics of the Gamma function values, discrete optimization, Lipschitzian stability of parametric constraint systems, and monotonicity of functions. The second part contains contributions presenting the latest developments in generalized convexity and generalized monotonicity: its connections with discrete and with continuous optimization, multiobjective optimization, fractional programming, nonsmooth Aanalysis, variational inequalities, and its applications to concrete problems such as finding equilibrium prices in mathematical economics, or hydrothermal scheduling. Audience This volume is suitable for faculty, graduate students, and researchers in mathematical programming, operations research, convex analysis, nonsmooth analysis, game theory and mathematical economics Nota de contenido: Invited Papers -- Algebraic Dynamics of Certain Gamma Function Values -- (Generalized) Convexity and Discrete Optimization -- Lipschitzian Stability of Parametric Constraint Systems in Infinite Dimensions -- Monotonicity in the Framework of Generalized Convexity -- Contributed Papers -- On the Contraction and Nonexpansiveness Properties of the Marginal Mappings in Generalized Variational Inequalities Involving Co-Coercive Operators -- A Projection-Type Algorithm for Pseudomonotone Nonlipschitzian Multivalued Variational Inequalities -- Duality in Multiobjective Optimization Problems with Set Constraints -- Duality in Fractional Programming Problems with Set Constraints -- On the Pseudoconvexity of the Sum of Two Linear Fractional Functions -- Bonnesen-Type Inequalities and Applications -- Characterizing Invex and Related Properties -- Minty Variational Inequality and Optimization: Scalar and Vector Case -- Second Order Optimality Conditions for Nonsmooth Multiobjective Optimization Problems -- Second Order Subdifferentials Constructed Using Integral Convolutions Smoothing -- Applying Global Optimization to a Problem in Short-Term Hydrothermal Scheduling -- ?-Optimality for Nonsmooth Programming on a Hilbert Space -- Identification of Hidden Convex Minimization Problems -- On Vector Quasi-Saddle Points of Set-Valued Maps -- New Generalized Invexity for Duality in Multiobjective Programming Problems Involving N-Set Functions -- Equilibrium Prices and Quasiconvex Duality En línea: http://dx.doi.org/10.1007/b102138 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=35074 Ejemplares
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Título : Global Optimization : From Theory to Implementation Tipo de documento: documento electrónico Autores: SpringerLink (Online service) ; Liberti, Leo ; Maculan, Nelson Editorial: Boston, MA : Springer US Fecha de publicación: 2006 Colección: Nonconvex Optimization and Its Applications, ISSN 1571-568X num. 84 Número de páginas: XIV, 428 p Il.: online resource ISBN/ISSN/DL: 978-0-387-30528-8 Idioma : Inglés (eng) Palabras clave: Mathematics Computer science Algorithms software Mathematical models optimization Operations research Management Optimization Research, Science Software Symbolic and Algebraic Manipulation Modeling Industrial Clasificación: 51 Matemáticas Resumen: Most books about global optimization describe the theory of the algorithms, whereas a given implementation’s quality never depends exclusively on the theoretical soundness of the algorithms that are implemented. The literature rarely discusses the tuning of algorithmic parameters, implementation tricks, software architectures, and the embedding of local solvers within global solvers. And yet, there are many good software implementations "out there” from which the entire community could learn something. The scope of this book is moving a few steps toward the systematization of the path that goes from the invention to the implementation and testing of a global optimization algorithm. Some of the contributors to the book are famous and some are less well-known, but all are experts in the discipline of actually getting global optimization to work. Thus, the papers in this book address the following topics: • descriptions of new implementations of general-purpose or problem-specific global optimization algorithms; • new algorithms in global optimization (some with numerical results and a discussion of the implementation); • surveys discussing existing software packages. Audience Global Optimization: From Theory to Implementation is intended for graduate students and researchers in operations research and optimization Nota de contenido: Methods -- Optimization under Composite Monotonic Constraints and Constrained Optimization over the Efficient Set -- On a Local Search for Reverse Convex Problems -- Some Transformation Techniques in Global Optimization -- Solving Nonlinear Mixed Integer Stochastic Problems: a Global Perspective -- Application of Quasi Monte Carlo Methods in Global Optimization -- Implementations -- GLOB — A new VNS-based Software for Global Optimization -- Disciplined Convex Programming -- Writing Global Optimization Software -- MathOptimizer Professional: Key Features and Illustrative Applications -- Variable Neighborhood Search for Extremal Graphs 14: The AutoGraphiX 2 System -- From Theory to Implementation: Applying Metaheuristics. -- ooMILP — A C++ Callable Object-oriented Library and the Implementation of its Parallel Version using CORBA -- Applications -- Global Order-Value Optimization by means of a Multistart Harmonic Oscillator Tunneling Strategy -- On generating Instances for the Molecular Distance Geometry Problem En línea: http://dx.doi.org/10.1007/0-387-30528-9 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=34772 Global Optimization : From Theory to Implementation [documento electrónico] / SpringerLink (Online service) ; Liberti, Leo ; Maculan, Nelson . - Boston, MA : Springer US, 2006 . - XIV, 428 p : online resource. - (Nonconvex Optimization and Its Applications, ISSN 1571-568X; 84) .
ISBN : 978-0-387-30528-8
Idioma : Inglés (eng)
Palabras clave: Mathematics Computer science Algorithms software Mathematical models optimization Operations research Management Optimization Research, Science Software Symbolic and Algebraic Manipulation Modeling Industrial Clasificación: 51 Matemáticas Resumen: Most books about global optimization describe the theory of the algorithms, whereas a given implementation’s quality never depends exclusively on the theoretical soundness of the algorithms that are implemented. The literature rarely discusses the tuning of algorithmic parameters, implementation tricks, software architectures, and the embedding of local solvers within global solvers. And yet, there are many good software implementations "out there” from which the entire community could learn something. The scope of this book is moving a few steps toward the systematization of the path that goes from the invention to the implementation and testing of a global optimization algorithm. Some of the contributors to the book are famous and some are less well-known, but all are experts in the discipline of actually getting global optimization to work. Thus, the papers in this book address the following topics: • descriptions of new implementations of general-purpose or problem-specific global optimization algorithms; • new algorithms in global optimization (some with numerical results and a discussion of the implementation); • surveys discussing existing software packages. Audience Global Optimization: From Theory to Implementation is intended for graduate students and researchers in operations research and optimization Nota de contenido: Methods -- Optimization under Composite Monotonic Constraints and Constrained Optimization over the Efficient Set -- On a Local Search for Reverse Convex Problems -- Some Transformation Techniques in Global Optimization -- Solving Nonlinear Mixed Integer Stochastic Problems: a Global Perspective -- Application of Quasi Monte Carlo Methods in Global Optimization -- Implementations -- GLOB — A new VNS-based Software for Global Optimization -- Disciplined Convex Programming -- Writing Global Optimization Software -- MathOptimizer Professional: Key Features and Illustrative Applications -- Variable Neighborhood Search for Extremal Graphs 14: The AutoGraphiX 2 System -- From Theory to Implementation: Applying Metaheuristics. -- ooMILP — A C++ Callable Object-oriented Library and the Implementation of its Parallel Version using CORBA -- Applications -- Global Order-Value Optimization by means of a Multistart Harmonic Oscillator Tunneling Strategy -- On generating Instances for the Molecular Distance Geometry Problem En línea: http://dx.doi.org/10.1007/0-387-30528-9 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=34772 Ejemplares
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Título : Global Optimization : Scientific and Engineering Case Studies Tipo de documento: documento electrónico Autores: SpringerLink (Online service) ; Pintér, János D Editorial: Boston, MA : Springer US Fecha de publicación: 2006 Colección: Nonconvex Optimization and Its Applications, ISSN 1571-568X num. 85 Número de páginas: XXIII, 546 p Il.: online resource ISBN/ISSN/DL: 978-0-387-30927-9 Idioma : Inglés (eng) Palabras clave: Mathematics Science Computer mathematics Mathematical models optimization Engineering Applied Modeling and Industrial Science, general Engineering, Optimization Computational Numerical Analysis Appl.Mathematics/Computational Methods of Clasificación: 51 Matemáticas Resumen: Optimization models based on a nonlinear systems description often possess multiple local optima. The objective of global optimization (GO) is to find the best possible solution of multiextremal problems. Global Optimization: Selected Case Studies illustrates the applicability of GO modeling techniques and solution strategies to real-world problems. The contributed chapters cover a broad range of applications from agroecosystem management, assembly line design, bioinformatics, biophysics, black box systems optimization, cellular mobile network design, chemical process optimization, chemical product design, composite structure design, computational modeling of atomic and molecular structures, controller design for induction motors, electrical engineering design, feeding strategies in animal husbandry, the inverse position problem in kinematics, laser design, learning in neural nets, mechanical engineering design, numerical solution of equations, radiotherapy planning, robot design, and satellite data analysis. The solution strategies discussed encompass a range of practically viable methods, including both theoretically rigorous and heuristic approaches. Audience This book is intended for researchers and practitioners in academia, research and consulting organizations, and industry Nota de contenido: A Global Optimization Strategy and Its Use in Solvent Design -- Feeding Strategies for Maximising Gross Margin in Pig Production -- Optimized Design of Dynamic Networks with Heuristic Algorithms -- A New Smoothing-Based Global Optimization Algorithm for Protein Conformation Problems -- Physical Perspectives on the Global Optimization of Atomic Clusters -- Efficient Global Geometry Optimization of Atomic and Molecular Clusters -- Computational Analysis of Human DNA Sequences: An Application of Artificial Neural Networks -- Determination of a Laser Cavity Field Solution Using Global Optimization -- Computational Experience with the Molecular Distance Geometry Problem -- Non Linear Optimization Models in Water Resource Systems -- Solving the Phase Unwrapping Problem by a Parametrized Network Optimization Approach -- Evolutionary Algorithms for Global Optimization -- Determining 3-D Structure of Spherical Viruses by Global Optimization -- A Collaborative Solution Methodology for Inverse Position Problem -- Improved Learning of Neural Nets Through Global Search -- Evolutionary Approach to Design Assembly Lines -- Agroecosystem Management -- Finding the Minimal Root of an Equation -- Optimization of Radiation Therapy Dose Delivery with Multiple Static Collimation -- Parallel Triangulated Partitioning for Black Box Optimization -- A Case Study: Composite Structure Design Optimization -- Neural Network Enhanced Optimal Self-tuning Controller Design for Induction Motors En línea: http://dx.doi.org/10.1007/0-387-30927-6 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=34776 Global Optimization : Scientific and Engineering Case Studies [documento electrónico] / SpringerLink (Online service) ; Pintér, János D . - Boston, MA : Springer US, 2006 . - XXIII, 546 p : online resource. - (Nonconvex Optimization and Its Applications, ISSN 1571-568X; 85) .
ISBN : 978-0-387-30927-9
Idioma : Inglés (eng)
Palabras clave: Mathematics Science Computer mathematics Mathematical models optimization Engineering Applied Modeling and Industrial Science, general Engineering, Optimization Computational Numerical Analysis Appl.Mathematics/Computational Methods of Clasificación: 51 Matemáticas Resumen: Optimization models based on a nonlinear systems description often possess multiple local optima. The objective of global optimization (GO) is to find the best possible solution of multiextremal problems. Global Optimization: Selected Case Studies illustrates the applicability of GO modeling techniques and solution strategies to real-world problems. The contributed chapters cover a broad range of applications from agroecosystem management, assembly line design, bioinformatics, biophysics, black box systems optimization, cellular mobile network design, chemical process optimization, chemical product design, composite structure design, computational modeling of atomic and molecular structures, controller design for induction motors, electrical engineering design, feeding strategies in animal husbandry, the inverse position problem in kinematics, laser design, learning in neural nets, mechanical engineering design, numerical solution of equations, radiotherapy planning, robot design, and satellite data analysis. The solution strategies discussed encompass a range of practically viable methods, including both theoretically rigorous and heuristic approaches. Audience This book is intended for researchers and practitioners in academia, research and consulting organizations, and industry Nota de contenido: A Global Optimization Strategy and Its Use in Solvent Design -- Feeding Strategies for Maximising Gross Margin in Pig Production -- Optimized Design of Dynamic Networks with Heuristic Algorithms -- A New Smoothing-Based Global Optimization Algorithm for Protein Conformation Problems -- Physical Perspectives on the Global Optimization of Atomic Clusters -- Efficient Global Geometry Optimization of Atomic and Molecular Clusters -- Computational Analysis of Human DNA Sequences: An Application of Artificial Neural Networks -- Determination of a Laser Cavity Field Solution Using Global Optimization -- Computational Experience with the Molecular Distance Geometry Problem -- Non Linear Optimization Models in Water Resource Systems -- Solving the Phase Unwrapping Problem by a Parametrized Network Optimization Approach -- Evolutionary Algorithms for Global Optimization -- Determining 3-D Structure of Spherical Viruses by Global Optimization -- A Collaborative Solution Methodology for Inverse Position Problem -- Improved Learning of Neural Nets Through Global Search -- Evolutionary Approach to Design Assembly Lines -- Agroecosystem Management -- Finding the Minimal Root of an Equation -- Optimization of Radiation Therapy Dose Delivery with Multiple Static Collimation -- Parallel Triangulated Partitioning for Black Box Optimization -- A Case Study: Composite Structure Design Optimization -- Neural Network Enhanced Optimal Self-tuning Controller Design for Induction Motors En línea: http://dx.doi.org/10.1007/0-387-30927-6 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=34776 Ejemplares
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Título : Large-Scale Nonlinear Optimization Tipo de documento: documento electrónico Autores: SpringerLink (Online service) ; Pillo, G. Di ; Roma, M Editorial: Boston, MA : Springer US Fecha de publicación: 2006 Colección: Nonconvex Optimization and Its Applications, ISSN 1571-568X num. 83 Número de páginas: X, 298 p. 44 illus Il.: online resource ISBN/ISSN/DL: 978-0-387-30065-8 Idioma : Inglés (eng) Palabras clave: Mathematics Science Mathematical optimization Operations research Management science Optimization Science, general Research, Clasificación: 51 Matemáticas Resumen: Large-Scale Nonlinear Optimization reviews and discusses recent advances in the development of methods and algorithms for nonlinear optimization and its applications, focusing on the large-dimensional case, the current forefront of much research. The chapters of the book, authored by some of the most active and well-known researchers in nonlinear optimization, give an updated overview of the field from different and complementary standpoints, including theoretical analysis, algorithmic development, implementation issues and applications. Audience This book is intended for researchers in applied mathematics, advanced engineering, and computer science; it is also recommended for further reading within graduate studies, postgraduate and doctoral programs Nota de contenido: Fast Linear Algebra for Multiarc Trajectory Optimization -- Lagrange Multipliers with Optimal Sensitivity Properties in Constrained Optimization -- An O(n2) Algorithm for Isotonic Regression -- Knitro: An Integrated Package for Nonlinear Optimization -- On implicit-factorization constraint preconditioners -- Optimal algorithms for large sparse quadratic programming problems with uniformly bounded spectrum -- Numerical methods for separating two polyhedra -- Exact penalty functions for generalized Nash problems -- Parametric Sensitivity Analysis for Optimal Boundary Control of a 3D Reaction-Diffusion System -- Projected Hessians for Preconditioning in One-Step One-Shot Design Optimization -- Conditions and parametric representations of approximate minimal elements of a set through scalarization -- Efficient methods for large-scale unconstrained optimization -- A variational approach for minimum cost flow problems -- Multi-Objective Optimisation of Expensive Objective Functions with Variable Fidelity Models -- Towards the Numerical Solution of a Large Scale PDAE Constrained Optimization Problem Arising in Molten Carbonate Fuel Cell Modeling -- The NEWUOA software for unconstrained optimization without derivatives En línea: http://dx.doi.org/10.1007/0-387-30065-1 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=34768 Large-Scale Nonlinear Optimization [documento electrónico] / SpringerLink (Online service) ; Pillo, G. Di ; Roma, M . - Boston, MA : Springer US, 2006 . - X, 298 p. 44 illus : online resource. - (Nonconvex Optimization and Its Applications, ISSN 1571-568X; 83) .
ISBN : 978-0-387-30065-8
Idioma : Inglés (eng)
Palabras clave: Mathematics Science Mathematical optimization Operations research Management science Optimization Science, general Research, Clasificación: 51 Matemáticas Resumen: Large-Scale Nonlinear Optimization reviews and discusses recent advances in the development of methods and algorithms for nonlinear optimization and its applications, focusing on the large-dimensional case, the current forefront of much research. The chapters of the book, authored by some of the most active and well-known researchers in nonlinear optimization, give an updated overview of the field from different and complementary standpoints, including theoretical analysis, algorithmic development, implementation issues and applications. Audience This book is intended for researchers in applied mathematics, advanced engineering, and computer science; it is also recommended for further reading within graduate studies, postgraduate and doctoral programs Nota de contenido: Fast Linear Algebra for Multiarc Trajectory Optimization -- Lagrange Multipliers with Optimal Sensitivity Properties in Constrained Optimization -- An O(n2) Algorithm for Isotonic Regression -- Knitro: An Integrated Package for Nonlinear Optimization -- On implicit-factorization constraint preconditioners -- Optimal algorithms for large sparse quadratic programming problems with uniformly bounded spectrum -- Numerical methods for separating two polyhedra -- Exact penalty functions for generalized Nash problems -- Parametric Sensitivity Analysis for Optimal Boundary Control of a 3D Reaction-Diffusion System -- Projected Hessians for Preconditioning in One-Step One-Shot Design Optimization -- Conditions and parametric representations of approximate minimal elements of a set through scalarization -- Efficient methods for large-scale unconstrained optimization -- A variational approach for minimum cost flow problems -- Multi-Objective Optimisation of Expensive Objective Functions with Variable Fidelity Models -- Towards the Numerical Solution of a Large Scale PDAE Constrained Optimization Problem Arising in Molten Carbonate Fuel Cell Modeling -- The NEWUOA software for unconstrained optimization without derivatives En línea: http://dx.doi.org/10.1007/0-387-30065-1 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=34768 Ejemplares
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