Info
- Utilizzare la checkbox di selezione a fianco di ciascun documento per attivare le funzionalità di stampa, invio email, download nei formati disponibili del (i) record.
Optimization and Decision Science [[electronic resource] ] : ODS, Virtual Conference, November 19, 2020 / / edited by Raffaele Cerulli, Mauro Dell'Amico, Francesca Guerriero, Dario Pacciarelli, Antonio Sforza
| Optimization and Decision Science [[electronic resource] ] : ODS, Virtual Conference, November 19, 2020 / / edited by Raffaele Cerulli, Mauro Dell'Amico, Francesca Guerriero, Dario Pacciarelli, Antonio Sforza |
| Edizione | [1st ed. 2021.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021 |
| Descrizione fisica | 1 online resource (249 pages) |
| Disciplina | 519.6 |
| Collana | AIRO Springer Series |
| Soggetto topico |
Computer science - Mathematics
Discrete mathematics Operations research Management science Discrete Mathematics in Computer Science Operations Research, Management Science Optimització matemàtica Presa de decisions |
| Soggetto genere / forma |
Congressos
Llibres electrònics |
| ISBN | 3-030-86841-9 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910520065503321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Optimization in artificial intelligence and data sciences : ODS, first hybrid conference, Rome, Italy, September 14-17, 2021 / / edited by Lavinia Amorosi, Paolo Dell'Olmo, Isabella Lari
| Optimization in artificial intelligence and data sciences : ODS, first hybrid conference, Rome, Italy, September 14-17, 2021 / / edited by Lavinia Amorosi, Paolo Dell'Olmo, Isabella Lari |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (268 pages) |
| Disciplina | 519.6 |
| Collana | AIRO Springer |
| Soggetto topico |
Artificial intelligence
Optimització matemàtica Intel·ligència artificial |
| Soggetto genere / forma |
Congressos
Llibres electrònics |
| ISBN | 3-030-95380-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Contents -- Editors and Contributors -- About the Editors -- Contributors -- A Variational Inequality Approach to a Class of Network Games with Local Complementarities and Global Congestion -- 1 Introduction -- 2 Network Games -- 2.1 Game Formulation and Variational Inequality Approach -- 2.2 The Linear-Quadratic Model with Local Complementarities and Global Congestion -- 3 A Katz-Bonacich Representation Formula -- 4 A Social Welfare Centrality Measure -- 5 Conclusions and Further Research Perspectives -- References -- A Two-Stage Variational Inequality Formulation for a Game Theory Network Model for Hospitalization in Critic Scenarios -- 1 Introduction -- 2 The Mathematical Model -- 3 An Illustrative Numerical Example -- 4 Conclusion -- References -- On Nested Affine Variational Inequalities: The Case of Multi-Portfolio Selection -- 1 Introduction: Context and Motivation for the Nested Affine Variational Inequalities Model -- 2 The Tikhonov Approach -- References -- Hyper-Parameter Optimization in Support Vector Machine on Unbalanced Datasets Using Genetic Algorithms -- 1 Introduction -- 2 SVM, Hyper-Parameters Optimization and Issues of Imbalanced Datasets -- 2.1 Imbalanced Dataset and Cost-Sensitive Approach -- 3 A Genetic Algorithm-Based Approach for SVM Hyper-Parameters Optimization -- 3.1 Hyper-Parameter Optimization via NSGA-II -- 4 Experimental Results and Discussion -- 4.1 NSGA-II Parameter Setting -- 4.2 CS-SVM Hyper-Parameter Optimization -- 5 Conclusion -- References -- An Improvement of the Pivoting Strategy in the Bunch and Kaufman Decomposition, Within Truncated Newton Methods -- 1 Introduction -- 2 Preliminary Results -- 2.1 Matrix Tridiagonalization Using the Lanczos Process -- 3 Our Proposal of Possible Generalizations -- 3.1 Gradient-Related Directions Using SYMMBK -- 4 Conclusions -- References.
Mixed Integer Linear Programming for a Real-World Parallel Machine Scheduling Problem with Workforce and Precedence Constraints -- 1 Introduction -- 2 Concise Literature Review -- 3 Problem and Method -- 3.1 Problem Description -- 3.2 Mathematical Model -- 4 Computational Experiments -- 4.1 Results on the Real-World Instance -- 4.2 Random Instance Generation -- 4.3 Results on Randomly Generated Instances -- 5 Conclusions -- References -- Scheduling K-mers Counting in a Distributed Environment -- 1 Introduction -- 2 Alignment-Free Algorithms -- 3 Related Works -- 4 Methods -- 4.1 Distributed Counting of k-mers -- 4.2 Scheduling Models -- 5 Experimental Evaluation -- 5.1 Experimental Setup -- 5.2 Preliminary Analysis: The Role of k in Determining the k-mers Distributions -- 5.3 Experimental Results -- 5.3.1 Comparison of the Overall Performance -- 5.3.2 Performance of Our Methods with Respect to k and to the Dataset Size -- 6 Conclusion and Future Directions -- References -- Workload Balancing at Cross-Docking Platforms -- 1 Introduction -- 2 Model -- 2.1 Considered Sets, Parameters and Variables -- 2.2 Presentation of the MILP -- 3 Experiments -- 3.1 Presentation of the Instances -- 3.2 CPLEX Performances -- 3.3 Benefit of the Integrated Approach -- 4 Conclusions and Future Works -- References -- Knowledge Before Solutions: Some Reflections on a Successful O.R. Case Study -- 1 Introduction -- 2 The Problem -- 2.1 The Solution Process -- 3 Discussion and Conclusions -- References -- A Genetic Algorithm to Optimize Dynamics of Supply Chains -- 1 Introduction -- 2 Model and Numerics for Supply Chains -- 3 Optimization -- 4 Simulations -- 5 Conclusions -- References -- Closed-Loop Supply Chain Network Equilibrium with Online Second-Hand Trading -- 1 Introduction -- 2 The Closed-Loop Supply Chain Network -- 2.1 The Optimal Behavior of the Manufacturers. 2.2 The Optimal Behavior of Retailers -- 2.3 The Optimal Behavior of the Consumers -- 2.3.1 The Consumers in the Forward Logistics -- 2.3.2 The Consumers in the Reverse Logistics -- 2.3.3 The Consumers' Equilibrium Conditions -- 2.4 The Behavior of the Online Platform -- 3 The Equilibrium Conditions of the CLSC Network -- 4 Conclusions -- References -- Design and Optimization of a Regional Buffalo Milk Supply Chain: A Case Study -- 1 A New Regional Supply Chain -- 2 Strategic Level: Location and Allocation -- 3 Tactical Level: Optimal Pick-Up Frequencies -- 4 Routing -- 5 Extensions and Conclusions -- References -- Truck-and-Drone Parcel Delivery in the Alps -- 1 Introduction -- 2 Models -- 2.1 Considered Sets, Parameters and Variables -- 2.2 MILP Model for the DPDE Configuration -- 2.3 Models for the TTD and the DPDC Configurations -- 3 Experiments -- 3.1 Instances -- 3.2 Performance of CPLEX -- 3.3 Results and Managerial Implications -- 4 Conclusions and Future Works -- References -- A Fast Heuristic Approach for the Assignment and Sequencing Storage Location Problem Under a Two Level Storage Policy -- 1 Introduction -- 2 Problem Statement -- 3 A Successive Constrained Shortest Path Method -- 3.1 The Auxiliary Graph -- 3.2 The Constrained Shortest Path Problem -- 3.3 The Overall Heuristic Method -- 4 Numerical Experiments -- 4.1 The Instances -- 4.2 Efficacy and Efficiency of the Heuristic Approach -- 4.3 Comparison with a Matheuristic Approach -- 5 Conclusions -- References -- Local Search for Aircraft-Landing Planning -- 1 Introduction -- 2 Literature Review -- 3 Considered Problem -- 4 Optimization Method -- 5 Results -- 6 Conclusion -- References -- An Emission Pollution Permit System for Time-Dependent Transportation Networks Based on Origin-Destination Pairs -- 1 Introduction. 2 The Dynamic Traffic Equilibrium Problem with the O/D Pair-Based Permit System -- 3 Existence and Continuity Results -- References -- Power Network Design with Line Activity -- 1 Introduction -- 2 The ACOPF Formulation -- 2.1 The Network Design ACOPF -- 3 Linearizing Relaxations -- 3.1 (S,V,X)-Relaxation -- 3.2 (S,V,X)-SDP -- 3.3 (S,V,X)-12DDP -- 3.4 Jabr Relaxation -- 3.5 ACOPFL Relaxations -- 4 Computational Experiments -- References -- Risk Assessment in Transactions Under Threat as Partially Observable Markov Decision Process -- 1 Introduction -- 2 Brief Review of the Relevant Research -- 3 Controlling Transactions and Decision Making -- 4 Transactions Under Threat as POMDP -- 5 Optimal Strategy for Counteracting and Its Cost -- 6 Analysis of the Results -- 7 Conclusion and Future Plans -- References -- A Decomposition Approach to the Clinical Pathway Deployment for Chronic Outpatients with Comorbidities -- 1 Introduction -- 2 A Decomposition Approach for the NCDs Agenda Problem -- 3 Related Papers -- 4 An ASP Based Approach -- 5 Computational Results and Conclusions -- Appendix: Table of Predicates -- References -- Optimal Sample Size for Evidence and Consensus in Phase III Clinical Trials -- 1 Introduction -- 2 Methodology -- 3 Bayesian Analysis with Normal Distributions -- 4 Example -- 5 Conclusions -- References -- Novel Applications of the Team Orienteering Problem in Health Care Logistics -- 1 Introduction -- 2 The Daily Swab Test Collection Problem -- 3 Ambulance Routing Problem -- 4 A New Variant of the Team Orienteering Problem -- 4.1 Fairness -- 5 Conclusions -- References -- Optimizing a Dynamic Outpatient Facility System with MultipleServers -- 1 Introduction -- 2 Problem Description -- 3 Proposed Heuristic -- 4 Computational Results -- 5 Concluding Remarks -- References. Global Optimization of a Turbine Design via Neural Networks and an Evolutionary Algorithm -- 1 Introduction -- 2 Finite Element Model -- 3 Elaboration of the Training Dataset -- 4 Neural Network -- 5 Global Optimization Results -- 6 Conclusions -- References. |
| Record Nr. | UNISA-996479369603316 |
| Cham, Switzerland : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Optimization in artificial intelligence and data sciences : ODS, first hybrid conference, Rome, Italy, September 14-17, 2021 / / edited by Lavinia Amorosi, Paolo Dell'Olmo, Isabella Lari
| Optimization in artificial intelligence and data sciences : ODS, first hybrid conference, Rome, Italy, September 14-17, 2021 / / edited by Lavinia Amorosi, Paolo Dell'Olmo, Isabella Lari |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (268 pages) |
| Disciplina | 519.6 |
| Collana | AIRO Springer |
| Soggetto topico |
Artificial intelligence
Optimització matemàtica Intel·ligència artificial |
| Soggetto genere / forma |
Congressos
Llibres electrònics |
| ISBN | 3-030-95380-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Contents -- Editors and Contributors -- About the Editors -- Contributors -- A Variational Inequality Approach to a Class of Network Games with Local Complementarities and Global Congestion -- 1 Introduction -- 2 Network Games -- 2.1 Game Formulation and Variational Inequality Approach -- 2.2 The Linear-Quadratic Model with Local Complementarities and Global Congestion -- 3 A Katz-Bonacich Representation Formula -- 4 A Social Welfare Centrality Measure -- 5 Conclusions and Further Research Perspectives -- References -- A Two-Stage Variational Inequality Formulation for a Game Theory Network Model for Hospitalization in Critic Scenarios -- 1 Introduction -- 2 The Mathematical Model -- 3 An Illustrative Numerical Example -- 4 Conclusion -- References -- On Nested Affine Variational Inequalities: The Case of Multi-Portfolio Selection -- 1 Introduction: Context and Motivation for the Nested Affine Variational Inequalities Model -- 2 The Tikhonov Approach -- References -- Hyper-Parameter Optimization in Support Vector Machine on Unbalanced Datasets Using Genetic Algorithms -- 1 Introduction -- 2 SVM, Hyper-Parameters Optimization and Issues of Imbalanced Datasets -- 2.1 Imbalanced Dataset and Cost-Sensitive Approach -- 3 A Genetic Algorithm-Based Approach for SVM Hyper-Parameters Optimization -- 3.1 Hyper-Parameter Optimization via NSGA-II -- 4 Experimental Results and Discussion -- 4.1 NSGA-II Parameter Setting -- 4.2 CS-SVM Hyper-Parameter Optimization -- 5 Conclusion -- References -- An Improvement of the Pivoting Strategy in the Bunch and Kaufman Decomposition, Within Truncated Newton Methods -- 1 Introduction -- 2 Preliminary Results -- 2.1 Matrix Tridiagonalization Using the Lanczos Process -- 3 Our Proposal of Possible Generalizations -- 3.1 Gradient-Related Directions Using SYMMBK -- 4 Conclusions -- References.
Mixed Integer Linear Programming for a Real-World Parallel Machine Scheduling Problem with Workforce and Precedence Constraints -- 1 Introduction -- 2 Concise Literature Review -- 3 Problem and Method -- 3.1 Problem Description -- 3.2 Mathematical Model -- 4 Computational Experiments -- 4.1 Results on the Real-World Instance -- 4.2 Random Instance Generation -- 4.3 Results on Randomly Generated Instances -- 5 Conclusions -- References -- Scheduling K-mers Counting in a Distributed Environment -- 1 Introduction -- 2 Alignment-Free Algorithms -- 3 Related Works -- 4 Methods -- 4.1 Distributed Counting of k-mers -- 4.2 Scheduling Models -- 5 Experimental Evaluation -- 5.1 Experimental Setup -- 5.2 Preliminary Analysis: The Role of k in Determining the k-mers Distributions -- 5.3 Experimental Results -- 5.3.1 Comparison of the Overall Performance -- 5.3.2 Performance of Our Methods with Respect to k and to the Dataset Size -- 6 Conclusion and Future Directions -- References -- Workload Balancing at Cross-Docking Platforms -- 1 Introduction -- 2 Model -- 2.1 Considered Sets, Parameters and Variables -- 2.2 Presentation of the MILP -- 3 Experiments -- 3.1 Presentation of the Instances -- 3.2 CPLEX Performances -- 3.3 Benefit of the Integrated Approach -- 4 Conclusions and Future Works -- References -- Knowledge Before Solutions: Some Reflections on a Successful O.R. Case Study -- 1 Introduction -- 2 The Problem -- 2.1 The Solution Process -- 3 Discussion and Conclusions -- References -- A Genetic Algorithm to Optimize Dynamics of Supply Chains -- 1 Introduction -- 2 Model and Numerics for Supply Chains -- 3 Optimization -- 4 Simulations -- 5 Conclusions -- References -- Closed-Loop Supply Chain Network Equilibrium with Online Second-Hand Trading -- 1 Introduction -- 2 The Closed-Loop Supply Chain Network -- 2.1 The Optimal Behavior of the Manufacturers. 2.2 The Optimal Behavior of Retailers -- 2.3 The Optimal Behavior of the Consumers -- 2.3.1 The Consumers in the Forward Logistics -- 2.3.2 The Consumers in the Reverse Logistics -- 2.3.3 The Consumers' Equilibrium Conditions -- 2.4 The Behavior of the Online Platform -- 3 The Equilibrium Conditions of the CLSC Network -- 4 Conclusions -- References -- Design and Optimization of a Regional Buffalo Milk Supply Chain: A Case Study -- 1 A New Regional Supply Chain -- 2 Strategic Level: Location and Allocation -- 3 Tactical Level: Optimal Pick-Up Frequencies -- 4 Routing -- 5 Extensions and Conclusions -- References -- Truck-and-Drone Parcel Delivery in the Alps -- 1 Introduction -- 2 Models -- 2.1 Considered Sets, Parameters and Variables -- 2.2 MILP Model for the DPDE Configuration -- 2.3 Models for the TTD and the DPDC Configurations -- 3 Experiments -- 3.1 Instances -- 3.2 Performance of CPLEX -- 3.3 Results and Managerial Implications -- 4 Conclusions and Future Works -- References -- A Fast Heuristic Approach for the Assignment and Sequencing Storage Location Problem Under a Two Level Storage Policy -- 1 Introduction -- 2 Problem Statement -- 3 A Successive Constrained Shortest Path Method -- 3.1 The Auxiliary Graph -- 3.2 The Constrained Shortest Path Problem -- 3.3 The Overall Heuristic Method -- 4 Numerical Experiments -- 4.1 The Instances -- 4.2 Efficacy and Efficiency of the Heuristic Approach -- 4.3 Comparison with a Matheuristic Approach -- 5 Conclusions -- References -- Local Search for Aircraft-Landing Planning -- 1 Introduction -- 2 Literature Review -- 3 Considered Problem -- 4 Optimization Method -- 5 Results -- 6 Conclusion -- References -- An Emission Pollution Permit System for Time-Dependent Transportation Networks Based on Origin-Destination Pairs -- 1 Introduction. 2 The Dynamic Traffic Equilibrium Problem with the O/D Pair-Based Permit System -- 3 Existence and Continuity Results -- References -- Power Network Design with Line Activity -- 1 Introduction -- 2 The ACOPF Formulation -- 2.1 The Network Design ACOPF -- 3 Linearizing Relaxations -- 3.1 (S,V,X)-Relaxation -- 3.2 (S,V,X)-SDP -- 3.3 (S,V,X)-12DDP -- 3.4 Jabr Relaxation -- 3.5 ACOPFL Relaxations -- 4 Computational Experiments -- References -- Risk Assessment in Transactions Under Threat as Partially Observable Markov Decision Process -- 1 Introduction -- 2 Brief Review of the Relevant Research -- 3 Controlling Transactions and Decision Making -- 4 Transactions Under Threat as POMDP -- 5 Optimal Strategy for Counteracting and Its Cost -- 6 Analysis of the Results -- 7 Conclusion and Future Plans -- References -- A Decomposition Approach to the Clinical Pathway Deployment for Chronic Outpatients with Comorbidities -- 1 Introduction -- 2 A Decomposition Approach for the NCDs Agenda Problem -- 3 Related Papers -- 4 An ASP Based Approach -- 5 Computational Results and Conclusions -- Appendix: Table of Predicates -- References -- Optimal Sample Size for Evidence and Consensus in Phase III Clinical Trials -- 1 Introduction -- 2 Methodology -- 3 Bayesian Analysis with Normal Distributions -- 4 Example -- 5 Conclusions -- References -- Novel Applications of the Team Orienteering Problem in Health Care Logistics -- 1 Introduction -- 2 The Daily Swab Test Collection Problem -- 3 Ambulance Routing Problem -- 4 A New Variant of the Team Orienteering Problem -- 4.1 Fairness -- 5 Conclusions -- References -- Optimizing a Dynamic Outpatient Facility System with MultipleServers -- 1 Introduction -- 2 Problem Description -- 3 Proposed Heuristic -- 4 Computational Results -- 5 Concluding Remarks -- References. Global Optimization of a Turbine Design via Neural Networks and an Evolutionary Algorithm -- 1 Introduction -- 2 Finite Element Model -- 3 Elaboration of the Training Dataset -- 4 Neural Network -- 5 Global Optimization Results -- 6 Conclusions -- References. |
| Record Nr. | UNINA-9910768177503321 |
| Cham, Switzerland : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Optimization in Banach spaces / / Alexander J. Zaslavski
| Optimization in Banach spaces / / Alexander J. Zaslavski |
| Autore | Zaslavski Alexander J. |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (132 pages) |
| Disciplina | 515.732 |
| Collana | SpringerBriefs in Optimization |
| Soggetto topico |
Banach spaces
Mathematical optimization Optimització matemàtica Espais de Banach |
| Soggetto genere / forma | Llibres electrònics |
| ISBN |
9783031126444
9783031126437 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Intro -- Preface -- 1 Introduction -- 1.1 Notation -- 1.2 Constrained Optimization -- 1.3 Unconstrained Optimization -- 1.4 An Auxiliary Result -- 1.5 Proof of Theorem 1.1 -- 2 Convex Optimization -- 2.1 Preliminaries -- 2.2 A basic Lemma -- 2.3 Convergence Results -- 2.4 Proof of Theorem 2.2 -- 2.5 Proof of Theorem 2.3 -- 2.6 Proof of Theorem 2.4 -- 2.7 Proof of Theorem 2.5 -- 2.8 Proof of Theorem 2.6 -- 2.9 Proof of Theorem 2.7 -- 2.10 Proof of Theorem 2.8 -- 2.11 Proof of Theorem 2.9 -- 2.12 Proof of Theorem 2.10 -- 2.13 A Convergence Result with Estimations -- 2.14 An Auxiliary Result -- 2.15 Proof of Theorem 2.11 -- 3 Nonconvex Optimization -- 3.1 Preliminaries -- 3.2 Auxiliary Results -- 3.3 Convergence Results -- 3.4 Proofs of Theorems 3.5-3.9 -- 3.5 Proofs of Theorems 3.10-3.14 -- 3.6 Proof of Theorem 3.15 -- 3.7 A Convergence Result with Estimations -- 3.8 An Auxiliary Result -- 3.9 Proofs of Theorems 3.16 and 3.17 -- 4 Continuous Algorithms -- 4.1 Banach Space Valued Functions -- 4.2 Convex Problems -- 4.3 Proof of Theorem 4.5 -- 4.4 Proof of Theorem 4.6 -- 4.5 Proof of Theorem 4.7 -- 4.6 The First Convergence Result with Estimations -- 4.7 Nonconvex Optimization -- 4.8 Convergence Results -- 4.9 Proof of Theorem 4.11 -- 4.10 Proofs of Theorems 4.12 and 4.14 -- 4.11 Proof of Theorem 4.15 -- 4.12 Proof of Theorem 4.17 -- 4.13 The Second Convergence Result with Estimations -- References. |
| Record Nr. | UNISA-996490344803316 |
Zaslavski Alexander J.
|
||
| Cham, Switzerland : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Optimization in Banach spaces / / Alexander J. Zaslavski
| Optimization in Banach spaces / / Alexander J. Zaslavski |
| Autore | Zaslavski Alexander J. |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (132 pages) |
| Disciplina | 515.732 |
| Collana | SpringerBriefs in Optimization |
| Soggetto topico |
Banach spaces
Mathematical optimization Optimització matemàtica Espais de Banach |
| Soggetto genere / forma | Llibres electrònics |
| ISBN |
9783031126444
9783031126437 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Intro -- Preface -- 1 Introduction -- 1.1 Notation -- 1.2 Constrained Optimization -- 1.3 Unconstrained Optimization -- 1.4 An Auxiliary Result -- 1.5 Proof of Theorem 1.1 -- 2 Convex Optimization -- 2.1 Preliminaries -- 2.2 A basic Lemma -- 2.3 Convergence Results -- 2.4 Proof of Theorem 2.2 -- 2.5 Proof of Theorem 2.3 -- 2.6 Proof of Theorem 2.4 -- 2.7 Proof of Theorem 2.5 -- 2.8 Proof of Theorem 2.6 -- 2.9 Proof of Theorem 2.7 -- 2.10 Proof of Theorem 2.8 -- 2.11 Proof of Theorem 2.9 -- 2.12 Proof of Theorem 2.10 -- 2.13 A Convergence Result with Estimations -- 2.14 An Auxiliary Result -- 2.15 Proof of Theorem 2.11 -- 3 Nonconvex Optimization -- 3.1 Preliminaries -- 3.2 Auxiliary Results -- 3.3 Convergence Results -- 3.4 Proofs of Theorems 3.5-3.9 -- 3.5 Proofs of Theorems 3.10-3.14 -- 3.6 Proof of Theorem 3.15 -- 3.7 A Convergence Result with Estimations -- 3.8 An Auxiliary Result -- 3.9 Proofs of Theorems 3.16 and 3.17 -- 4 Continuous Algorithms -- 4.1 Banach Space Valued Functions -- 4.2 Convex Problems -- 4.3 Proof of Theorem 4.5 -- 4.4 Proof of Theorem 4.6 -- 4.5 Proof of Theorem 4.7 -- 4.6 The First Convergence Result with Estimations -- 4.7 Nonconvex Optimization -- 4.8 Convergence Results -- 4.9 Proof of Theorem 4.11 -- 4.10 Proofs of Theorems 4.12 and 4.14 -- 4.11 Proof of Theorem 4.15 -- 4.12 Proof of Theorem 4.17 -- 4.13 The Second Convergence Result with Estimations -- References. |
| Record Nr. | UNINA-9910616207103321 |
|
Zaslavski Alexander J.
|
||
| Cham, Switzerland : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Optimization Methods for Structural Engineering / / edited by Ishaan R. Kale, Ali Sadollah
| Optimization Methods for Structural Engineering / / edited by Ishaan R. Kale, Ali Sadollah |
| Autore | Kale Ishaan R |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (233 pages) |
| Disciplina | 624.1015196 |
| Altri autori (Persone) | SadollahAli |
| Collana | Engineering Optimization: Methods and Applications |
| Soggetto topico |
Mathematics - Data processing
Engineering design Mechanics, Applied Solids Aerospace engineering Astronautics Computational Science and Engineering Engineering Design Solid Mechanics Aerospace Technology and Astronautics Enginyeria d'estructures Matemàtica Optimització matemàtica |
| Soggetto genere / forma | Llibres electrònics |
| ISBN | 981-9923-78-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Review of turning mass dampers and application of improved harmony search -- Optimal design of truss systems: The force density perspective -- CI-SAPF for structural optimization considering Buckling and Natural Frequency constraints -- Improved Drosophila Food-Search Algorithm for Structural and Mechanical Optimization Problems -- Topology optimization in linear elasticity, plasticity and fracture mechanics -- Application of Constrained version of Variations of Cohort Intelligence for Truss Structure Problems -- Hybridization of Cohort Intelligence and Fuzzy Logic (CIFL) for truss structure problems -- Structural Optimization of ATV chassis Using FEA Analysis -- Design of Quarter Car Model for Active Suspension System and Control Optimization using MATLAB -- Explicit dynamic crash analysis of car of different Materials against a wall using ANSYS. |
| Record Nr. | UNINA-9910729894903321 |
|
Kale Ishaan R
|
||
| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Optimization of pharmaceutical processes / / Antonios Fytopoulos, Rohit Ramachandran and Panos M. Pardalos, editors
| Optimization of pharmaceutical processes / / Antonios Fytopoulos, Rohit Ramachandran and Panos M. Pardalos, editors |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (437 pages) |
| Disciplina | 540.1 |
| Collana | Springer Optimization and Its Applications |
| Soggetto topico |
Chemistry - Philosophy
Pharmaceutical industry Química farmacèutica Indústria farmacèutica Optimització matemàtica |
| Soggetto genere / forma | Llibres electrònics |
| ISBN | 3-030-90924-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910559397303321 |
| Cham, Switzerland : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Optimization of pharmaceutical processes / / Antonios Fytopoulos, Rohit Ramachandran and Panos M. Pardalos, editors
| Optimization of pharmaceutical processes / / Antonios Fytopoulos, Rohit Ramachandran and Panos M. Pardalos, editors |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (437 pages) |
| Disciplina | 540.1 |
| Collana | Springer Optimization and Its Applications |
| Soggetto topico |
Chemistry - Philosophy
Pharmaceutical industry Química farmacèutica Indústria farmacèutica Optimització matemàtica |
| Soggetto genere / forma | Llibres electrònics |
| ISBN | 3-030-90924-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996472039203316 |
| Cham, Switzerland : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Optimization on solution sets of common fixed point problems / / Alexander J. Zaslavski
| Optimization on solution sets of common fixed point problems / / Alexander J. Zaslavski |
| Autore | Zaslavski Alexander J. |
| Edizione | [1st ed. 2021.] |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2021] |
| Descrizione fisica | 1 online resource (XI, 434 p.) |
| Disciplina | 519.3 |
| Collana | Springer Optimization and Its Applications |
| Soggetto topico |
Mathematical optimization
Fixed point theory Optimització matemàtica Teoria del punt fix Investigació operativa Anàlisi numèrica |
| Soggetto genere / forma | Llibres electrònics |
| ISBN | 3-030-78849-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Preface -- Introduction -- Fixed Point Subgradient Algorithm -- Proximal Point Subgradient Algorithm -- Cimmino Subgradient Projection Algorithm -- Iterative Subgradient Projection Algorithm -- Dynamic Strong-Averaging Subgradient Algorithm -- Fixed Point Gradient Projection Algorithm -- Cimmino Gradient Projection Algorithm -- A Class of Nonsmooth Convex Optimization Problems -- Zero-Sum Games with Two Players -- References -- Index. |
| Record Nr. | UNINA-9910495353103321 |
|
Zaslavski Alexander J.
|
||
| Cham, Switzerland : , : Springer, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Optimization on solution sets of common fixed point problems / / Alexander J. Zaslavski
| Optimization on solution sets of common fixed point problems / / Alexander J. Zaslavski |
| Autore | Zaslavski Alexander J. |
| Edizione | [1st ed. 2021.] |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2021] |
| Descrizione fisica | 1 online resource (XI, 434 p.) |
| Disciplina | 519.3 |
| Collana | Springer Optimization and Its Applications |
| Soggetto topico |
Mathematical optimization
Fixed point theory Optimització matemàtica Teoria del punt fix Investigació operativa Anàlisi numèrica |
| Soggetto genere / forma | Llibres electrònics |
| ISBN | 3-030-78849-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Preface -- Introduction -- Fixed Point Subgradient Algorithm -- Proximal Point Subgradient Algorithm -- Cimmino Subgradient Projection Algorithm -- Iterative Subgradient Projection Algorithm -- Dynamic Strong-Averaging Subgradient Algorithm -- Fixed Point Gradient Projection Algorithm -- Cimmino Gradient Projection Algorithm -- A Class of Nonsmooth Convex Optimization Problems -- Zero-Sum Games with Two Players -- References -- Index. |
| Record Nr. | UNISA-996466392203316 |
|
Zaslavski Alexander J.
|
||
| Cham, Switzerland : , : Springer, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
