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An Optimization Primer / Johannes O. Royset, Roger J.-B. Wets
An Optimization Primer / Johannes O. Royset, Roger J.-B. Wets
Autore Royset, Johannes O.
Pubbl/distr/stampa Cham, : Springer, 2021
Descrizione fisica xviiii, 676 p. : ill. ; 24 cm
Altri autori (Persone) Wets, Roger J. B.
Soggetto non controllato Convex analysis
Game Theory
Management Science
Mathematical programming
Operations Research
Optimization
Set-valued analysis
Stochastic Programming
Variational analysis
Variational inequalities
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNICAMPANIA-VAN0274542
Royset, Johannes O.  
Cham, : Springer, 2021
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
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An Optimization Primer / Johannes O. Royset, Roger J.-B. Wets
An Optimization Primer / Johannes O. Royset, Roger J.-B. Wets
Autore Royset, Johannes O.
Pubbl/distr/stampa Cham, : Springer, 2021
Descrizione fisica xviiii, 676 p. : ill. ; 24 cm
Altri autori (Persone) Wets, Roger J. B.
Soggetto topico 90-XX - Operations research, mathematical programming [MSC 2020]
90Cxx - Mathematical programming [MSC 2020]
Soggetto non controllato Convex analysis
Game Theory
Management Science
Mathematical programming
Operations Research
Optimization
Set-valued analysis
Stochastic Programming
Variational analysis
Variational inequalities
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNICAMPANIA-VAN00274542
Royset, Johannes O.  
Cham, : Springer, 2021
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
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BONUS algorithm for large scale stochastic nonlinear programming problems / Urmila Diwekar, Amy David
BONUS algorithm for large scale stochastic nonlinear programming problems / Urmila Diwekar, Amy David
Autore Diwekar, Urmila M.
Pubbl/distr/stampa New York, : Springer, 2015
Descrizione fisica XVIII, 146 p. : ill. ; 24 cm
Altri autori (Persone) David, Amy
Soggetto topico 90C15 - Stochastic programming [MSC 2020]
90C06 - Large-scale problems in mathematical programming [MSC 2020]
Soggetto non controllato BONUS algorithm
Power systems
SNLP
Sensor placement
Stochastic Programming
Water management
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione ita
Titolo uniforme
Record Nr. UNICAMPANIA-VAN0113101
Diwekar, Urmila M.  
New York, : Springer, 2015
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BONUS algorithm for large scale stochastic nonlinear programming problems / Urmila Diwekar, Amy David
BONUS algorithm for large scale stochastic nonlinear programming problems / Urmila Diwekar, Amy David
Autore Diwekar, Urmila M.
Pubbl/distr/stampa New York, : Springer, 2015
Descrizione fisica XVIII, 146 p. : ill. ; 24 cm
Altri autori (Persone) David, Amy
Soggetto topico 90C06 - Large-scale problems in mathematical programming [MSC 2020]
90C15 - Stochastic programming [MSC 2020]
Soggetto non controllato BONUS algorithm
Power Systems
SNLP
Sensor placement
Stochastic Programming
Water Management
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto This book presents the details of the BONUS algorithm and its real world applications in areas like sensor placement in large scale drinking water networks, sensor placement in advanced power systems, water management in power systems, and capacity expansion of energy systems. A generalized method for stochastic nonlinear programming based on a sampling based approach for uncertainty analysis and statistical reweighting to obtain probability information is demonstrated in this book. Stochastic optimization problems are difficult to solve since they involve dealing with optimization and uncertainty loops. There are two fundamental approaches used to solve such problems. The first being the decomposition techniques and the second method identifies problem specific structures and transforms the problem into a deterministic nonlinear programming problem. These techniques have significant limitations on either the objective function type or the underlying distributions for the uncertain variables. Moreover, these methods assume that there are a small number of scenarios to be evaluated for calculation of the probabilistic objective function and constraints. This book begins to tackle these issues by describing a generalized method for stochastic nonlinear programming problems. This title is best suited for practitioners, researchers and students in engineering, operations research, and management science who desire a complete understanding of the BONUS algorithm and its applications to the real world.
Record Nr. UNICAMPANIA-VAN00113101
Diwekar, Urmila M.  
New York, : Springer, 2015
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Convex and Stochastic Optimization / J. Frédéric Bonnans
Convex and Stochastic Optimization / J. Frédéric Bonnans
Autore Bonnans, Joseph F.
Pubbl/distr/stampa Cham, : Springer, 2019
Descrizione fisica xiii, 311 p. ; 24 cm
Soggetto topico 90Cxx - Mathematical programming [MSC 2020]
Soggetto non controllato Convex analysis
Dynamic optimization
Lagrangian duality
Markov decision processes
Numerical algorithms
Optimal transport
Probability Theory
Risk measures
Sample average approximation
Semi-definite programming
Stochastic Programming
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Titolo uniforme
Record Nr. UNICAMPANIA-VAN0126800
Bonnans, Joseph F.  
Cham, : Springer, 2019
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Convex and Stochastic Optimization / J. Frédéric Bonnans
Convex and Stochastic Optimization / J. Frédéric Bonnans
Autore Bonnans, J. Frédéric
Pubbl/distr/stampa Cham, : Springer, 2019
Descrizione fisica xiii, 311 p. ; 24 cm
Soggetto topico 90Cxx - Mathematical programming [MSC 2020]
Soggetto non controllato Convex analysis
Dynamic optimization
Lagrangian duality
Markov decision processes
Numerical algorithms
Optimal transport
Probability theory
Risk measures
Sample average approximation
Semi-definite programming
Stochastic Programming
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Titolo uniforme
Record Nr. UNICAMPANIA-VAN00126800
Bonnans, J. Frédéric  
Cham, : Springer, 2019
Materiale a stampa
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Introduction to Stochastic Programming / John R. Birge, François Louveaux
Introduction to Stochastic Programming / John R. Birge, François Louveaux
Autore Birge, John R.
Pubbl/distr/stampa New York, : Springer, 1997
Descrizione fisica xix, 421 p. : ill. ; 24 cm
Altri autori (Persone) Louveaux, François
Soggetto topico 90-XX - Operations research, mathematical programming [MSC 2020]
90C15 - Stochastic programming [MSC 2020]
Soggetto non controllato Linear optimization
Modeling
Models
Nonlinear optimization
Operations Research
Programming
Stochastic Programming
Stochastic models
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNICAMPANIA-VAN00297770
Birge, John R.  
New York, : Springer, 1997
Materiale a stampa
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Large Scale Optimization in Supply Chains and Smart Manufacturing : Theory and Applications / Jesús M. Velásquez-Bermúdez, Marzieh Khakifirooz, Mahdi Fathi editors
Large Scale Optimization in Supply Chains and Smart Manufacturing : Theory and Applications / Jesús M. Velásquez-Bermúdez, Marzieh Khakifirooz, Mahdi Fathi editors
Pubbl/distr/stampa Cham, : Springer, 2019
Descrizione fisica xxi, 282 p. : ill. ; 24 cm
Soggetto topico 49-XX - Calculus of variations and optimal control; optimization [MSC 2020]
65-XX - Numerical analysis [MSC 2020]
90Bxx - Operations research and management science [MSC 2020]
90Cxx - Mathematical programming [MSC 2020]
65Kxx - Numerical methods for mathematical programming, optimization and variational techniques [MSC 2020]
90-XX - Operations research, mathematical programming [MSC 2020]
49Mxx - Numerical methods in optimal control [MSC 2020]
Soggetto non controllato Asynchronous Parallel Optimization
Industrial engineering
Lagrangian Relaxation
Large-scale optimization methods
Large-scale optimization with Applications
Logistics Management
Optimization Knowledge Expert System
Real-Time Distributed Optimization
Risk management
Service Operations Management
Smart Manufacturing
Soft Computing
Stochastic Programming
Structured Mathematical Modeling
Supply chain
supply chain management
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Titolo uniforme
Record Nr. UNICAMPANIA-VAN0126957
Cham, : Springer, 2019
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
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Large Scale Optimization in Supply Chains and Smart Manufacturing : Theory and Applications / Jesús M. Velásquez-Bermúdez, Marzieh Khakifirooz, Mahdi Fathi editors
Large Scale Optimization in Supply Chains and Smart Manufacturing : Theory and Applications / Jesús M. Velásquez-Bermúdez, Marzieh Khakifirooz, Mahdi Fathi editors
Pubbl/distr/stampa Cham, : Springer, 2019
Descrizione fisica xxi, 282 p. : ill. ; 24 cm
Soggetto topico 49-XX - Calculus of variations and optimal control; optimization [MSC 2020]
49Mxx - Numerical methods in optimal control [MSC 2020]
65-XX - Numerical analysis [MSC 2020]
65Kxx - Numerical methods for mathematical programming, optimization and variational techniques [MSC 2020]
90-XX - Operations research, mathematical programming [MSC 2020]
90Bxx - Operations research and management science [MSC 2020]
90Cxx - Mathematical programming [MSC 2020]
Soggetto non controllato Asynchronous Parallel Optimization
Industrial Engineering
Lagrangian Relaxation
Large-scale optimization methods
Large-scale optimization with Applications
Logistics Management
Optimization Knowledge Expert System
Real-Time Distributed Optimization
Risk Management
Service Operations Management
Smart Manufacturing
Soft Computing
Stochastic Programming
Structured Mathematical Modeling
Supply Chain
Supply Chain Management
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Titolo uniforme
Record Nr. UNICAMPANIA-VAN00126957
Cham, : Springer, 2019
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
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Optimization in Large Scale Problems : Industry 4.0 and Society 5.0 Applications / Mahdi Fathi, Marzieh Khakifirooz, Panos M. Pardalos editors
Optimization in Large Scale Problems : Industry 4.0 and Society 5.0 Applications / Mahdi Fathi, Marzieh Khakifirooz, Panos M. Pardalos editors
Pubbl/distr/stampa Cham, : Springer, 2019
Descrizione fisica xi, 340 p. : ill. ; 24 cm
Soggetto topico 49-XX - Calculus of variations and optimal control; optimization [MSC 2020]
65-XX - Numerical analysis [MSC 2020]
90Bxx - Operations research and management science [MSC 2020]
90Cxx - Mathematical programming [MSC 2020]
65Kxx - Numerical methods for mathematical programming, optimization and variational techniques [MSC 2020]
90-XX - Operations research, mathematical programming [MSC 2020]
49Mxx - Numerical methods in optimal control [MSC 2020]
Soggetto non controllato Advanced transportation networks
Benders decomposition
Dynamic system management
Energy systems
Industry 4.0
Integer programming
Large-Scale Optimization
Linear programming
Machine learning
Multi-tree decomposition
Nonlinear optimization
Society 5.0
Stochastic Programming
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Titolo uniforme
Record Nr. UNICAMPANIA-VAN0127099
Cham, : Springer, 2019
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
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