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Deterministic global optimization : an introduction to the diagonal approach / / by Yaroslav D. Sergeyev, Dmitri E. Kvasov
Deterministic global optimization : an introduction to the diagonal approach / / by Yaroslav D. Sergeyev, Dmitri E. Kvasov
Autore Sergeyev Yaroslav D
Edizione [1st ed. 2017.]
Pubbl/distr/stampa New York, NY : , : Springer New York : , : Imprint : Springer, , 2017
Descrizione fisica 1 online resource (X, 136 p. 39 illus.)
Disciplina 519.3
Collana SpringerBriefs in Optimization
Soggetto topico Computer programming
Mathematical optimization
Computer science—Mathematics
Computer science - Mathematics
Programming Techniques
Optimization
Mathematics of Computing
Mathematical Applications in Computer Science
ISBN 1-4939-7199-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto 1. Lipschitz global optimization -- 2. One-dimensional algorithms and their accleration -- 3. Diagonal approach and efficient paritioning strategies -- 4. Global optimization algorithms based on the non-redundant partitions -- References. .
Record Nr. UNINA-9910254281003321
Sergeyev Yaroslav D  
New York, NY : , : Springer New York : , : Imprint : Springer, , 2017
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Learning and Intelligent Optimization [[electronic resource] ] : 11th International Conference, LION 11, Nizhny Novgorod, Russia, June 19-21, 2017, Revised Selected Papers / / edited by Roberto Battiti, Dmitri E. Kvasov, Yaroslav D. Sergeyev
Learning and Intelligent Optimization [[electronic resource] ] : 11th International Conference, LION 11, Nizhny Novgorod, Russia, June 19-21, 2017, Revised Selected Papers / / edited by Roberto Battiti, Dmitri E. Kvasov, Yaroslav D. Sergeyev
Edizione [1st ed. 2017.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017
Descrizione fisica 1 online resource (XIII, 390 p. 92 illus.)
Disciplina 006.31
Collana Theoretical Computer Science and General Issues
Soggetto topico Algorithms
Computer science
Artificial intelligence
Numerical analysis
Computer simulation
Computer Science Logic and Foundations of Programming
Artificial Intelligence
Numerical Analysis
Theory of Computation
Computer Modelling
ISBN 3-319-69404-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Preface -- Organization -- Contents -- Long Papers -- An Importance Sampling Approach to the Estimation of Algorithm Performance in Automated Algorithm Design -- 1 Introduction -- 2 The Algorithm Design Problem (ADP) -- 3 Performance Estimation in PbO -- 3.1 Prior Art -- 3.2 An Importance Sampling Approach -- 4 Envisioned Benefits -- 5 Theoretical Feasibility -- 6 The Proof of Concept -- 6.1 Practical Challenges -- 6.2 High-Level Search Strategy -- 7 Experiments -- 7.1 Experimental Setup -- 7.2 Results and Discussion -- 8 Conclusion -- References -- Test Problems for Parallel Algorithms of Constrained Global Optimization -- 1 Introduction -- 2 Problem Statement -- 3 Generating a Series of Problems -- 4 Parallel Global Optimization Index Algorithm -- 5 Results of Numerical Experiments -- 6 Conclusion -- References -- Automatic Configuration of Kernel-Based Clustering: An Optimization Approach -- Abstract -- 1 Introduction -- 2 Material and Methods -- 2.1 Notation -- 2.2 The Case Study and the Data Generation Process -- 2.3 Kernel K-means -- 3 Hyperparameter Optimization of the Unsupervised Learning Phase of the Machine Learning Pipeline -- 3.1 Hyperparameters in the Pipeline: The Design Variables -- 3.2 Clustering Performance: The Objective Function -- 3.3 Sequential Model Based Optimization -- 3.3.1 Building the Surrogate of the Objective Function: Gaussian Processes and Random Forest -- 3.3.2 Acquisition Function: Confidence Bound -- 3.3.3 Termination Criterion -- 3.3.4 Software Environment -- 4 Results and Discussion -- 5 Conclusions -- References -- Solution of the Convergecast Scheduling Problem on a Square Unit Grid When the Transmission Range is 2 -- 1 Introduction -- 2 General Problem Formulation -- 3 CSP in the Unit Square Grid When the Transmission Distance is 2 -- 3.1 The Exact Lower Bound for the Schedule Length.
3.2 Algorithm A -- 4 Conclusion -- References -- A GRASP for the Minimum Cost SAT Problem -- 1 Introduction -- 2 Mathematical Formulation of the Problem -- 3 A GRASP for MinCostSAT -- 4 Probabilistic Stopping Rule -- 4.1 Fitting Data Procedure -- 4.2 Improve Probability Procedure -- 5 Results -- 6 Conclusions -- References -- A New Local Search for the p-Center Problem Based on the Critical Vertex Concept -- 1 Introduction -- 2 GRASP Construction Phase -- 3 Plateau Surfer: A New Local Search Based on the Critical Vertex Concept -- 4 Experimental Results -- 5 Concluding Remarks -- References -- An Iterated Local Search Framework with Adaptive Operator Selection for Nurse Rostering -- 1 Introduction -- 2 The Nurse Rostering Problem -- 3 The Proposed Approach -- 3.1 Credit Assignment Module -- 3.2 Action Selection Methodology -- 4 Experimental Results -- 4.1 Experimental Setup -- 4.2 Experimental Results and Analysis -- 5 Conclusions -- References -- Learning a Reactive Restart Strategy to Improve Stochastic Search -- 1 Introduction -- 2 Restart Strategies -- 3 Learning Dynamic Parameter Updates -- 4 A Hyper-Parameterized Restart Strategy -- 4.1 Features -- 4.2 Turning Features into Scores -- 4.3 The Reactive Restart Framework -- 5 Experimental Analysis -- 5.1 Problems and Benchmarks -- 5.2 Data Collection -- 5.3 Training of Hyper -- 5.4 Results -- 6 Conclusion -- References -- Efficient Adaptive Implementation of the Serial Schedule Generation Scheme Using Preprocessing and Bloom Filters -- 1 Introduction -- 2 SSGS Implementation Details -- 2.1 Initialisation of A -- 2.2 Efficient Search of the Earliest Feasible Slot for a Job -- 2.3 Preprocessing and Automated Parameter Control -- 3 SSGS Implementation Using Bloom Filters -- 3.1 Optimisation of Bloom Filter Structure -- 3.2 Additional Speed-ups -- 4 Hybrid Control Mechanism -- 5 Empirical Evaluation.
6 Conclusions and Future Work -- References -- Interior Point and Newton Methods in Solving High Dimensional Flow Distribution Problems for Pipe Networks -- 1 Introduction -- 2 Problem Statement -- 3 Newton Method -- 4 Interior Point Method -- 5 Matrices Multiplication in Interior Point Method -- 6 Acceleration by Constant Multiplication -- 7 Combined Method for Constrained Problem -- 8 Numerical Results -- 9 Conclusion -- References -- Hierarchical Clustering and Multilevel Refinement for the Bike-Sharing Station Planning Problem -- 1 Introduction -- 2 Related Work -- 3 Problem Formalization -- 3.1 Solution Representation -- 3.2 Objective -- 3.3 Calculation of Fulfilled Customer Demand -- 3.4 Calculation of Rebalancing Costs -- 4 Multilevel Refinement Approach -- 4.1 Coarsening -- 4.2 Initialization -- 4.3 Extension -- 5 Computational Results -- 6 Conclusion and Future Work -- References -- Decomposition Descent Method for Limit Optimization Problems -- 1 Introduction -- 2 Auxiliary Problem Properties -- 3 Limit Decomposition Method and its Convergence -- 4 Modifications and Applications -- 5 Computational Experiments -- 6 Conclusions -- References -- RAMBO: Resource-Aware Model-Based Optimization with Scheduling for Heterogeneous Runtimes and a Comparison with Asynchronous Model-Based Optimization -- 1 Introduction -- 2 Model-Based Global Optimization -- 2.1 Parallel MBO -- 3 Resource-Aware Scheduling with Synchronous Model Update -- 3.1 Infill Criterion - Priority -- 3.2 Resource Estimation -- 3.3 Resource-Aware Knapsack Scheduling -- 3.4 Refinement of Job Priorities via Clustering -- 4 Numerical Experiments -- 4.1 Quality of Resource Estimation -- 4.2 High Runtime Estimation Quality: rosenbrock -- 4.3 Low Runtime Estimation Quality: rastrigin -- 5 Conclusion -- References -- A New Constructive Heuristic for the No-Wait Flowshop Scheduling Problem.
1 Introduction -- 2 The No-Wait Flowshop Scheduling Problem -- 2.1 Description of the Problem -- 2.2 State-of-the-Art -- 3 IBI: Iterated Best Insertion Heuristic -- 3.1 Analysis of Optimal Solutions Structure -- 3.2 Design of IBI -- 3.3 Experimental Analysis of Parameters -- 4 Experiments -- 4.1 Efficiency of IBI -- 4.2 IBI as Initialization of a Local Search -- 5 Conclusion and Perspectives -- References -- Sharp Penalty Mappings for Variational Inequality Problems -- 1 Introduction -- 2 Notations and Preliminaries -- 3 Sharp Penalty Mappings -- 4 Iteration Algorithm -- 5 Conclusions -- References -- A Nonconvex Optimization Approach to Quadratic Bilevel Problems -- 1 Introduction -- 2 Statement of the Problem and Its Reduction -- 3 The Local Search -- 4 Global Optimality Conditions and the Global Search Procedure -- 5 Computational Simulation -- 6 Conclusion -- References -- An Experimental Study of Adaptive Capping in irace -- 1 Introduction -- 2 Elitist Iterated Racing in irace -- 3 ParamILS and Adaptive Capping -- 4 Adaptive Capping in irace -- 5 Experiments -- 5.1 Experimental Setup -- 5.2 Experimental Results -- 5.3 Additional Analysis of iracecap -- 6 Comparison to Other Configurators -- 7 Conclusions -- References -- Duality Gap Analysis of Weak Relaxed Greedy Algorithms -- 1 Introduction -- 2 Weak Relaxed Greedy Algorithms -- 3 Dual Convergence Results -- 3.1 Duality Gap -- 3.2 Dual Convergence Result for WRGA(co) -- 3.3 Dual Convergence Result for WRGA() -- 4 Conclusion -- References -- Controlling Some Statistical Properties of Business Rules Programs -- 1 Introduction -- 1.1 Preliminaries -- 1.2 Related Works -- 2 Learning Goals with Histograms -- 2.1 A MIP for Learning Quantized Distributions -- 2.2 A MILP for the Max Percentage Problem -- 2.3 A MILP for the Almost Uniform Distribution Problem -- 3 Implementation and Experiments.
3.1 The Max Percentage Problem -- 3.2 The Almost Uniform Distribution Problem -- 4 Conclusion, Discussion and Future Work -- References -- GENOPT Paper -- Hybridization and Discretization Techniques to Speed Up Genetic Algorithm and Solve GENOPT Problems -- Abstract -- 1 Introduction -- 2 Preliminary Concepts -- 3 The GABRLS Algorithm -- 3.1 The Modified GA -- 3.2 Bounding Restart (BR) Technique -- 3.3 Hybridizing GABR with Local Searches -- 4 Tuning and Results of GABRLS on GENOPT Challenge -- 4.1 High Level Setting -- 4.2 Results and Prizes -- 5 Conclusion -- References -- Short Papers -- Identification of Discontinuous Thermal Conductivity Coefficient Using Fast Automatic Differentiation -- Abstract -- 1 Introduction -- 2 Formulation of the Problem -- 3 Numerical Solution of the Problem -- Acknowledgments -- References -- Comparing Two Approaches for Solving Constrained Global Optimization Problems -- 1 Introduction -- 2 Index Method -- 3 Results of Experiments -- 4 Conclusion -- References -- Towards a Universal Modeller of Chaotic Systems -- 1 Introduction -- 2 Previous Work -- 3 Learning Algorithm -- 3.1 Idle Mode -- 4 Experimental Setup -- 4.1 Repetition -- 4.2 Fractal Dimension -- 4.3 Lyapunov Exponent -- 5 Results -- 6 Conclusion -- References -- An Approach for Generating Test Problems of Constrained Global Optimization -- 1 Introduction -- 2 Test Problem Classes -- 3 Some Numerical Results -- 4 Conclusion -- References -- Global Optimization Using Numerical Approximations of Derivatives -- 1 Introduction -- 2 One-Dimensional Global Optimization Algorithm Using Numerical Estimations of Derivatives -- 2.1 Core One-Dimensional Global Search Algorithm Using Derivatives -- 2.2 One-Dimensional Global Search Algorithm Using Numerical Derivatives -- 3 Results of Computational Experiments -- 4 Conclusion -- References.
Global Optimization Challenges in Structured Low Rank Approximation.
Record Nr. UNISA-996465339903316
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Learning and Intelligent Optimization : 11th International Conference, LION 11, Nizhny Novgorod, Russia, June 19-21, 2017, Revised Selected Papers / / edited by Roberto Battiti, Dmitri E. Kvasov, Yaroslav D. Sergeyev
Learning and Intelligent Optimization : 11th International Conference, LION 11, Nizhny Novgorod, Russia, June 19-21, 2017, Revised Selected Papers / / edited by Roberto Battiti, Dmitri E. Kvasov, Yaroslav D. Sergeyev
Edizione [1st ed. 2017.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017
Descrizione fisica 1 online resource (XIII, 390 p. 92 illus.)
Disciplina 006.31
Collana Theoretical Computer Science and General Issues
Soggetto topico Algorithms
Computer science
Artificial intelligence
Numerical analysis
Computer simulation
Computer Science Logic and Foundations of Programming
Artificial Intelligence
Numerical Analysis
Theory of Computation
Computer Modelling
ISBN 3-319-69404-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Preface -- Organization -- Contents -- Long Papers -- An Importance Sampling Approach to the Estimation of Algorithm Performance in Automated Algorithm Design -- 1 Introduction -- 2 The Algorithm Design Problem (ADP) -- 3 Performance Estimation in PbO -- 3.1 Prior Art -- 3.2 An Importance Sampling Approach -- 4 Envisioned Benefits -- 5 Theoretical Feasibility -- 6 The Proof of Concept -- 6.1 Practical Challenges -- 6.2 High-Level Search Strategy -- 7 Experiments -- 7.1 Experimental Setup -- 7.2 Results and Discussion -- 8 Conclusion -- References -- Test Problems for Parallel Algorithms of Constrained Global Optimization -- 1 Introduction -- 2 Problem Statement -- 3 Generating a Series of Problems -- 4 Parallel Global Optimization Index Algorithm -- 5 Results of Numerical Experiments -- 6 Conclusion -- References -- Automatic Configuration of Kernel-Based Clustering: An Optimization Approach -- Abstract -- 1 Introduction -- 2 Material and Methods -- 2.1 Notation -- 2.2 The Case Study and the Data Generation Process -- 2.3 Kernel K-means -- 3 Hyperparameter Optimization of the Unsupervised Learning Phase of the Machine Learning Pipeline -- 3.1 Hyperparameters in the Pipeline: The Design Variables -- 3.2 Clustering Performance: The Objective Function -- 3.3 Sequential Model Based Optimization -- 3.3.1 Building the Surrogate of the Objective Function: Gaussian Processes and Random Forest -- 3.3.2 Acquisition Function: Confidence Bound -- 3.3.3 Termination Criterion -- 3.3.4 Software Environment -- 4 Results and Discussion -- 5 Conclusions -- References -- Solution of the Convergecast Scheduling Problem on a Square Unit Grid When the Transmission Range is 2 -- 1 Introduction -- 2 General Problem Formulation -- 3 CSP in the Unit Square Grid When the Transmission Distance is 2 -- 3.1 The Exact Lower Bound for the Schedule Length.
3.2 Algorithm A -- 4 Conclusion -- References -- A GRASP for the Minimum Cost SAT Problem -- 1 Introduction -- 2 Mathematical Formulation of the Problem -- 3 A GRASP for MinCostSAT -- 4 Probabilistic Stopping Rule -- 4.1 Fitting Data Procedure -- 4.2 Improve Probability Procedure -- 5 Results -- 6 Conclusions -- References -- A New Local Search for the p-Center Problem Based on the Critical Vertex Concept -- 1 Introduction -- 2 GRASP Construction Phase -- 3 Plateau Surfer: A New Local Search Based on the Critical Vertex Concept -- 4 Experimental Results -- 5 Concluding Remarks -- References -- An Iterated Local Search Framework with Adaptive Operator Selection for Nurse Rostering -- 1 Introduction -- 2 The Nurse Rostering Problem -- 3 The Proposed Approach -- 3.1 Credit Assignment Module -- 3.2 Action Selection Methodology -- 4 Experimental Results -- 4.1 Experimental Setup -- 4.2 Experimental Results and Analysis -- 5 Conclusions -- References -- Learning a Reactive Restart Strategy to Improve Stochastic Search -- 1 Introduction -- 2 Restart Strategies -- 3 Learning Dynamic Parameter Updates -- 4 A Hyper-Parameterized Restart Strategy -- 4.1 Features -- 4.2 Turning Features into Scores -- 4.3 The Reactive Restart Framework -- 5 Experimental Analysis -- 5.1 Problems and Benchmarks -- 5.2 Data Collection -- 5.3 Training of Hyper -- 5.4 Results -- 6 Conclusion -- References -- Efficient Adaptive Implementation of the Serial Schedule Generation Scheme Using Preprocessing and Bloom Filters -- 1 Introduction -- 2 SSGS Implementation Details -- 2.1 Initialisation of A -- 2.2 Efficient Search of the Earliest Feasible Slot for a Job -- 2.3 Preprocessing and Automated Parameter Control -- 3 SSGS Implementation Using Bloom Filters -- 3.1 Optimisation of Bloom Filter Structure -- 3.2 Additional Speed-ups -- 4 Hybrid Control Mechanism -- 5 Empirical Evaluation.
6 Conclusions and Future Work -- References -- Interior Point and Newton Methods in Solving High Dimensional Flow Distribution Problems for Pipe Networks -- 1 Introduction -- 2 Problem Statement -- 3 Newton Method -- 4 Interior Point Method -- 5 Matrices Multiplication in Interior Point Method -- 6 Acceleration by Constant Multiplication -- 7 Combined Method for Constrained Problem -- 8 Numerical Results -- 9 Conclusion -- References -- Hierarchical Clustering and Multilevel Refinement for the Bike-Sharing Station Planning Problem -- 1 Introduction -- 2 Related Work -- 3 Problem Formalization -- 3.1 Solution Representation -- 3.2 Objective -- 3.3 Calculation of Fulfilled Customer Demand -- 3.4 Calculation of Rebalancing Costs -- 4 Multilevel Refinement Approach -- 4.1 Coarsening -- 4.2 Initialization -- 4.3 Extension -- 5 Computational Results -- 6 Conclusion and Future Work -- References -- Decomposition Descent Method for Limit Optimization Problems -- 1 Introduction -- 2 Auxiliary Problem Properties -- 3 Limit Decomposition Method and its Convergence -- 4 Modifications and Applications -- 5 Computational Experiments -- 6 Conclusions -- References -- RAMBO: Resource-Aware Model-Based Optimization with Scheduling for Heterogeneous Runtimes and a Comparison with Asynchronous Model-Based Optimization -- 1 Introduction -- 2 Model-Based Global Optimization -- 2.1 Parallel MBO -- 3 Resource-Aware Scheduling with Synchronous Model Update -- 3.1 Infill Criterion - Priority -- 3.2 Resource Estimation -- 3.3 Resource-Aware Knapsack Scheduling -- 3.4 Refinement of Job Priorities via Clustering -- 4 Numerical Experiments -- 4.1 Quality of Resource Estimation -- 4.2 High Runtime Estimation Quality: rosenbrock -- 4.3 Low Runtime Estimation Quality: rastrigin -- 5 Conclusion -- References -- A New Constructive Heuristic for the No-Wait Flowshop Scheduling Problem.
1 Introduction -- 2 The No-Wait Flowshop Scheduling Problem -- 2.1 Description of the Problem -- 2.2 State-of-the-Art -- 3 IBI: Iterated Best Insertion Heuristic -- 3.1 Analysis of Optimal Solutions Structure -- 3.2 Design of IBI -- 3.3 Experimental Analysis of Parameters -- 4 Experiments -- 4.1 Efficiency of IBI -- 4.2 IBI as Initialization of a Local Search -- 5 Conclusion and Perspectives -- References -- Sharp Penalty Mappings for Variational Inequality Problems -- 1 Introduction -- 2 Notations and Preliminaries -- 3 Sharp Penalty Mappings -- 4 Iteration Algorithm -- 5 Conclusions -- References -- A Nonconvex Optimization Approach to Quadratic Bilevel Problems -- 1 Introduction -- 2 Statement of the Problem and Its Reduction -- 3 The Local Search -- 4 Global Optimality Conditions and the Global Search Procedure -- 5 Computational Simulation -- 6 Conclusion -- References -- An Experimental Study of Adaptive Capping in irace -- 1 Introduction -- 2 Elitist Iterated Racing in irace -- 3 ParamILS and Adaptive Capping -- 4 Adaptive Capping in irace -- 5 Experiments -- 5.1 Experimental Setup -- 5.2 Experimental Results -- 5.3 Additional Analysis of iracecap -- 6 Comparison to Other Configurators -- 7 Conclusions -- References -- Duality Gap Analysis of Weak Relaxed Greedy Algorithms -- 1 Introduction -- 2 Weak Relaxed Greedy Algorithms -- 3 Dual Convergence Results -- 3.1 Duality Gap -- 3.2 Dual Convergence Result for WRGA(co) -- 3.3 Dual Convergence Result for WRGA() -- 4 Conclusion -- References -- Controlling Some Statistical Properties of Business Rules Programs -- 1 Introduction -- 1.1 Preliminaries -- 1.2 Related Works -- 2 Learning Goals with Histograms -- 2.1 A MIP for Learning Quantized Distributions -- 2.2 A MILP for the Max Percentage Problem -- 2.3 A MILP for the Almost Uniform Distribution Problem -- 3 Implementation and Experiments.
3.1 The Max Percentage Problem -- 3.2 The Almost Uniform Distribution Problem -- 4 Conclusion, Discussion and Future Work -- References -- GENOPT Paper -- Hybridization and Discretization Techniques to Speed Up Genetic Algorithm and Solve GENOPT Problems -- Abstract -- 1 Introduction -- 2 Preliminary Concepts -- 3 The GABRLS Algorithm -- 3.1 The Modified GA -- 3.2 Bounding Restart (BR) Technique -- 3.3 Hybridizing GABR with Local Searches -- 4 Tuning and Results of GABRLS on GENOPT Challenge -- 4.1 High Level Setting -- 4.2 Results and Prizes -- 5 Conclusion -- References -- Short Papers -- Identification of Discontinuous Thermal Conductivity Coefficient Using Fast Automatic Differentiation -- Abstract -- 1 Introduction -- 2 Formulation of the Problem -- 3 Numerical Solution of the Problem -- Acknowledgments -- References -- Comparing Two Approaches for Solving Constrained Global Optimization Problems -- 1 Introduction -- 2 Index Method -- 3 Results of Experiments -- 4 Conclusion -- References -- Towards a Universal Modeller of Chaotic Systems -- 1 Introduction -- 2 Previous Work -- 3 Learning Algorithm -- 3.1 Idle Mode -- 4 Experimental Setup -- 4.1 Repetition -- 4.2 Fractal Dimension -- 4.3 Lyapunov Exponent -- 5 Results -- 6 Conclusion -- References -- An Approach for Generating Test Problems of Constrained Global Optimization -- 1 Introduction -- 2 Test Problem Classes -- 3 Some Numerical Results -- 4 Conclusion -- References -- Global Optimization Using Numerical Approximations of Derivatives -- 1 Introduction -- 2 One-Dimensional Global Optimization Algorithm Using Numerical Estimations of Derivatives -- 2.1 Core One-Dimensional Global Search Algorithm Using Derivatives -- 2.2 One-Dimensional Global Search Algorithm Using Numerical Derivatives -- 3 Results of Computational Experiments -- 4 Conclusion -- References.
Global Optimization Challenges in Structured Low Rank Approximation.
Record Nr. UNINA-9910482962603321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Numerical Computations: Theory and Algorithms : 4th International Conference, NUMTA 2023, Pizzo Calabro, Italy, June 14–20, 2023, Revised Selected Papers, Part II / / edited by Yaroslav D. Sergeyev, Dmitri E. Kvasov, Annabella Astorino
Numerical Computations: Theory and Algorithms : 4th International Conference, NUMTA 2023, Pizzo Calabro, Italy, June 14–20, 2023, Revised Selected Papers, Part II / / edited by Yaroslav D. Sergeyev, Dmitri E. Kvasov, Annabella Astorino
Autore Sergeyev Yaroslav D
Edizione [1st ed. 2025.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025
Descrizione fisica 1 online resource (372 pages)
Disciplina 004.0151
Altri autori (Persone) KvasovDmitri E
AstorinoAnnabella
Collana Lecture Notes in Computer Science
Soggetto topico Computer science - Mathematics
Computer engineering
Computer networks
Machine learning
Application software
Algorithms
Mathematics of Computing
Computer Engineering and Networks
Machine Learning
Computer and Information Systems Applications
ISBN 9783031812446
3031812441
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Dimensionality Reduction with Proper Symplectic Decomposition for Learning Hamiltonian Dynamics -- Aspects of Optimization in Domestic Drinking Water Purification Systems -- Parallel Cyclic Reduction of Bordered Almost Block Diagonal Matrices -- A Direct/Indirect Approach to Optimal Control Problems -- Metaplectic Gabor Frames of Wigner-Decomposable Distributions -- Identifying Dengue Hotspots in Baguio City, Philippines through Spatiotemporal Analysis -- Discontinuous Galerkin Schemes for Master Equations Modeling Open Quantum Systems -- The Scaling Behavior of High-Order Structure Functions for a Turbulent Jet Induced by a Rotating Propeller -- Analysis of Computational Fluid Dynamics Approaches for the Development of Microfluidic Devices -- Extragradient Method For Monotone Variational Inequality in CAT(0) Spaces -- A Symbolic-Numerical Approach to Index Reduction and Solution of Differential-Algebraic Equations -- A MATLAB Code for Handling Efficiently Discontinuous BVPs -- Optimal Transport Flow Distribution and Construction of Wardrop Optimal Networks -- Optimizing the Reuse of Building Demolition Materials for Coastal Dunes Reestablishment -- A Simple Mathematical Solution to an Invariance Problem in Water Networks -- Scalability of Saharan Dust Outbreak Modelling with the Advanced Weather Research and Forecasting Model Coupled with Chemistry (WRF-Chem) -- Choosing Kernel Shape Parameters in Partition of Unity Methods by Univariate Global Optimization Techniques -- A Bayesian Approach for Simultaneously Radial Kernel Parameter Tuning in the Partition of Unity Method -- Application of Deep Learning for Wildfire Risk Management: Preliminary Results -- Node-Binded Communities for Interpolation on Graphs -- A Fast Algorithm for Numerical Differentiation from Scattered Data -- Preconditioning Strategies for RBF Interpolation -- An Alternative Nonlinear Diffusion Algorithm for Image Denoising and Deblurring -- Some Numerical Approaches for Bifurcation of Nonlinear Dynamic Systems -- The Effects of Different Mesh Sizes on a Cellular Automata-Based Hydrological Model -- Computation of the Confluent Hypergeometric Function M(a,b,x) -- Multi-Objective Support Vector Machine Classification Algorithm for Estimation of the Potential Atmospheric Water Harvesting -- IoT and Artificial Intelligence Integration for a Stormwater Monitoring and Management System -- Optimization Method Development for Water Management of Green Roof Systems -- Weighted Finite Element Method and Body of Optimal Parameters for One Problem of the Fracture Mechanics -- A Shallow Water Model: Analytical and Numerical Study for Simulating the Coastline Evolution -- On the Division in the Computation of Binary BBP-Type Formulas for Mathematical Constants -- Numerical Analysis of Sedimentation Tanks Efficiency Using CFD Simulation -- A Probabilistic Note on the WY Representation of Householder QR -- Applying Machine Learning to Improve Weather Forecasting in a Mediterranean Area: Preliminary Experiments.
Record Nr. UNINA-9910983381303321
Sergeyev Yaroslav D  
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Numerical Computations: Theory and Algorithms : 4th International Conference, NUMTA 2023, Pizzo Calabro, Italy, June 14–20, 2023 Revised Selected Papers, Part III / / edited by Yaroslav D. Sergeyev, Dmitri E. Kvasov, Annabella Astorino
Numerical Computations: Theory and Algorithms : 4th International Conference, NUMTA 2023, Pizzo Calabro, Italy, June 14–20, 2023 Revised Selected Papers, Part III / / edited by Yaroslav D. Sergeyev, Dmitri E. Kvasov, Annabella Astorino
Autore Sergeyev Yaroslav D
Edizione [1st ed. 2025.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025
Descrizione fisica 1 online resource (387 pages)
Disciplina 004.0151
Altri autori (Persone) KvasovDmitri E
AstorinoAnnabella
Collana Lecture Notes in Computer Science
Soggetto topico Computer science - Mathematics
Computer engineering
Computer networks
Machine learning
Application software
Algorithms
Mathematics of Computing
Computer Engineering and Networks
Machine Learning
Computer and Information Systems Applications
ISBN 9783031812477
3031812476
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Circuit-Based Numerical Solutions of Transmission Lines: Application to Korteweg-de Vries Equations -- Deep Learning Methods for fMRI Classification -- Deep Learning for Scoliosis Diagnosis: Methods and Databases -- Understanding Spreading Dynamics of COVID-19 by Mining Human Mobility Patterns -- Variational Quantum Algorithms for Gibbs State Preparation -- Towards a Parallel Code for Cellular Behavior in Vitro Prediction -- Combinators as Observable Presheaves: A Characterization in the Grossone Framework -- Applying Variational Quantum Classifier on Acceptability Judgements: A QNLP experiment -- Unimaginable Numbers: A Case Study as a Starting Point for an Educational Experimentation -- Some Notes on a Continuous Class of Octagons -- Game Theory Presented to Italian High School Students in Connection with Infinity Computing -- Meta Discussion Pedagogical Model to Foster Mathematics Teacher's Professional Development -- A Variational Quantum Soft Actor-Critic Algorithm for Continuous Control Tasks -- Named Entity Recognition to Extract Knowledge from Clinical Texts -- Applied Mathematical Modelling in the Physics Problem-Solving Classroom -- AIR SAFE: Leveraging IoT Sensors and AI Models to Foster Optimal Indoor Conditions -- Unimaginable Numbers and Infinity Computing at School: An Experimentation in Northern Italy -- The Cantor-Vitali Function and Infinity Computing -- New Probabilistic Methods for Generating Risk Maps -- How to Deal with Different Densities of Urban Spatial Data? A Comparison of Clustering Approaches to Detect City Hotspots -- The Impact of Vectorization on The Efficiency of a Parallel PIC Code for Numerical Simulation of Plasma Dynamics in Open Trap -- Algorithms for Design with CNC Machines: The Case Study of Wood Furniture -- PyGrossone: A Python Library for the Infinity Computer -- Towards Reproducible Research in Machine Learning via Blockchain -- Dossier Classification to Support Workflow Management Optimization -- Self-Sovereign Identification of IoT Devices by Using Physically Unclonable Functions and Blockchain -- Introducing Nondum, a Mathematical Notation for Computation with Approximations -- Visualization of Multilayer Networks -- Legal Systems and Fractals, Towards Infinity Computing -- Exploit Innovative Computer Architecture with Molecular Dynamics -- A Sentiment Analysis on Reviews of Italian Healthcare.-A Numerical Approach to Basic Calculus -- Modelling Hyperentanglement for Quantum Information Processes -- An Innovative Sentiment Analysis Model for COVID-19 Tweets -- Exploring Hierarchical MPI Reduction Collective Algorithms Targeted to Multicore Node Clusters.
Record Nr. UNINA-9910983049903321
Sergeyev Yaroslav D  
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Numerical Computations: Theory and Algorithms : 4th International Conference, NUMTA 2023, Pizzo Calabro, Italy, June 14–20, 2023, Revised Selected Papers, Part I / / edited by Yaroslav D. Sergeyev, Dmitri E. Kvasov, Annabella Astorino
Numerical Computations: Theory and Algorithms : 4th International Conference, NUMTA 2023, Pizzo Calabro, Italy, June 14–20, 2023, Revised Selected Papers, Part I / / edited by Yaroslav D. Sergeyev, Dmitri E. Kvasov, Annabella Astorino
Autore Sergeyev Yaroslav D
Edizione [1st ed. 2025.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025
Descrizione fisica 1 online resource (434 pages)
Disciplina 004.0151
Altri autori (Persone) KvasovDmitri E
AstorinoAnnabella
Collana Lecture Notes in Computer Science
Soggetto topico Computer science - Mathematics
Computer engineering
Computer networks
Machine learning
Application software
Algorithms
Mathematics of Computing
Computer Engineering and Networks
Machine Learning
Computer and Information Systems Applications
ISBN 9783031812415
3031812417
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Application of Machine Learning to Increase the Efficiency of the Global Search Algorithm for Solving Multicriterial Problems -- Sequential Decision Modeling for Dynamic Pricing and Revenue Management in Hotels -- Resource Allocation via Bayesian Optimization: An Efficient Alternative to Semi-Bandit Feedback -- Multi-Objective and Multiple Information Source Optimization for Fair & Green Machine Learning -- Extended Optimal Control Problem for Practical Application -- Explainable Process Deviance Discovery with Data-Efficient Deep Learning -- Line Search Stochastic Gradient Algorithm with a-Priori Rule for Monitoring the Control of the Variance -- A Machine Learning Approach to Speed up the Solution of the Distributor’s Pallet Loading Problem -- Combined First- and Second-Order Directions for Deep Neural Networks Training -- Constrained Global Optimization by Smoothing -- The Unreasonable Effectiveness of Optimal Transport Distance in the Design of Multi-Objective Evolutionary Optimization Algorithms -- An Improved Modified Jaya Optimization Algorithm: Application to the Solution of Nonlinear Equation Systems -- GPU Acceleration of the Enhanced Jaya Optimization Algorithm for Solving Large Systems of Nonlinear Equations -- Effective Resistance Based Community Detection in Complex Networks -- A Comparison of Formulations for Aircraft Deconfliction -- Optimal Recombination Problem in Genetic Programming for Boolean Functions -- Heuristics with Local Improvements for Two-Processor Scheduling Problem with Energy Constraint and Parallelization -- Numerical Analysis of Optimal Control of Assets and Liabilities by a Bank -- Optimal Control for Stochastic Multi-Agent Systems with the Use of Parallel Hybrid Genetic Algorithm -- DC Optimization in Adversarial Support Vector Machine -- A First-Order Optimality Condition in Nonsmooth Generalized Semi-Infinite Programming (GSIP) -- Miniaturisation of Binary Classifiers through Sparse Neural Networks -- Price Forecasting for Bitcoin: Linear Regression and SVM Approaches -- Inside the Box: 0-1 Linear Programming under Interval Uncertainty -- Machine Learning Techniques for Branch-and-Cut Methods: The Selection of Cutting Planes -- The Critical Cone and Second-Order Optimality Conditions for a State-Constrained Optimal Control Problem -- Local Information in Global Optimization with Dimensionality Reduction Schemes -- A Heuristic Solution Approach for Bulk Port Routing Optimization -- A Genetic Algorithm to Optimize the Dispatch of Firefighting Resources -- Robust Non-Convex Model-Based Approach for Deep Learning-Based Image Processing -- A DCA-Like Based Algorithm for the Merkle Tree Construction Problem in Ethereum Cryptocurrency System -- Numerical Optimization in Hyperbolic Space - Applications to Drug-Target Interaction Prediction -- Improving Feasibility of Optimal Control via Obtaining High-precision Model -- Dimensionality Reduction for Quadratic Convex Maximization -- Population Local Search for Single Processor Energy Efficient Scheduling Problem.
Record Nr. UNINA-9910983352803321
Sergeyev Yaroslav D  
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Numerical Computations: Theory and Algorithms : 4th International Conference, NUMTA 2023, Pizzo Calabro, Italy, June 14–20, 2023, Revised Selected Papers, Part I / / edited by Yaroslav D. Sergeyev, Dmitri E. Kvasov, Annabella Astorino
Numerical Computations: Theory and Algorithms : 4th International Conference, NUMTA 2023, Pizzo Calabro, Italy, June 14–20, 2023, Revised Selected Papers, Part I / / edited by Yaroslav D. Sergeyev, Dmitri E. Kvasov, Annabella Astorino
Autore Sergeyev Yaroslav D
Edizione [1st ed. 2025.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025
Descrizione fisica 1 online resource (434 pages)
Disciplina 004.0151
Altri autori (Persone) KvasovDmitri E
AstorinoAnnabella
Collana Lecture Notes in Computer Science
Soggetto topico Computer science - Mathematics
Computer engineering
Computer networks
Machine learning
Application software
Algorithms
Mathematics of Computing
Computer Engineering and Networks
Machine Learning
Computer and Information Systems Applications
ISBN 9783031812415
3031812417
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Application of Machine Learning to Increase the Efficiency of the Global Search Algorithm for Solving Multicriterial Problems -- Sequential Decision Modeling for Dynamic Pricing and Revenue Management in Hotels -- Resource Allocation via Bayesian Optimization: An Efficient Alternative to Semi-Bandit Feedback -- Multi-Objective and Multiple Information Source Optimization for Fair & Green Machine Learning -- Extended Optimal Control Problem for Practical Application -- Explainable Process Deviance Discovery with Data-Efficient Deep Learning -- Line Search Stochastic Gradient Algorithm with a-Priori Rule for Monitoring the Control of the Variance -- A Machine Learning Approach to Speed up the Solution of the Distributor’s Pallet Loading Problem -- Combined First- and Second-Order Directions for Deep Neural Networks Training -- Constrained Global Optimization by Smoothing -- The Unreasonable Effectiveness of Optimal Transport Distance in the Design of Multi-Objective Evolutionary Optimization Algorithms -- An Improved Modified Jaya Optimization Algorithm: Application to the Solution of Nonlinear Equation Systems -- GPU Acceleration of the Enhanced Jaya Optimization Algorithm for Solving Large Systems of Nonlinear Equations -- Effective Resistance Based Community Detection in Complex Networks -- A Comparison of Formulations for Aircraft Deconfliction -- Optimal Recombination Problem in Genetic Programming for Boolean Functions -- Heuristics with Local Improvements for Two-Processor Scheduling Problem with Energy Constraint and Parallelization -- Numerical Analysis of Optimal Control of Assets and Liabilities by a Bank -- Optimal Control for Stochastic Multi-Agent Systems with the Use of Parallel Hybrid Genetic Algorithm -- DC Optimization in Adversarial Support Vector Machine -- A First-Order Optimality Condition in Nonsmooth Generalized Semi-Infinite Programming (GSIP) -- Miniaturisation of Binary Classifiers through Sparse Neural Networks -- Price Forecasting for Bitcoin: Linear Regression and SVM Approaches -- Inside the Box: 0-1 Linear Programming under Interval Uncertainty -- Machine Learning Techniques for Branch-and-Cut Methods: The Selection of Cutting Planes -- The Critical Cone and Second-Order Optimality Conditions for a State-Constrained Optimal Control Problem -- Local Information in Global Optimization with Dimensionality Reduction Schemes -- A Heuristic Solution Approach for Bulk Port Routing Optimization -- A Genetic Algorithm to Optimize the Dispatch of Firefighting Resources -- Robust Non-Convex Model-Based Approach for Deep Learning-Based Image Processing -- A DCA-Like Based Algorithm for the Merkle Tree Construction Problem in Ethereum Cryptocurrency System -- Numerical Optimization in Hyperbolic Space - Applications to Drug-Target Interaction Prediction -- Improving Feasibility of Optimal Control via Obtaining High-precision Model -- Dimensionality Reduction for Quadratic Convex Maximization -- Population Local Search for Single Processor Energy Efficient Scheduling Problem.
Record Nr. UNISA-996641272203316
Sergeyev Yaroslav D  
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Numerical Computations: Theory and Algorithms : 4th International Conference, NUMTA 2023, Pizzo Calabro, Italy, June 14–20, 2023, Revised Selected Papers, Part II / / edited by Yaroslav D. Sergeyev, Dmitri E. Kvasov, Annabella Astorino
Numerical Computations: Theory and Algorithms : 4th International Conference, NUMTA 2023, Pizzo Calabro, Italy, June 14–20, 2023, Revised Selected Papers, Part II / / edited by Yaroslav D. Sergeyev, Dmitri E. Kvasov, Annabella Astorino
Autore Sergeyev Yaroslav D
Edizione [1st ed. 2025.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025
Descrizione fisica 1 online resource (372 pages)
Disciplina 004.0151
Altri autori (Persone) KvasovDmitri E
AstorinoAnnabella
Collana Lecture Notes in Computer Science
Soggetto topico Computer science - Mathematics
Computer engineering
Computer networks
Machine learning
Application software
Algorithms
Mathematics of Computing
Computer Engineering and Networks
Machine Learning
Computer and Information Systems Applications
ISBN 9783031812446
3031812441
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Dimensionality Reduction with Proper Symplectic Decomposition for Learning Hamiltonian Dynamics -- Aspects of Optimization in Domestic Drinking Water Purification Systems -- Parallel Cyclic Reduction of Bordered Almost Block Diagonal Matrices -- A Direct/Indirect Approach to Optimal Control Problems -- Metaplectic Gabor Frames of Wigner-Decomposable Distributions -- Identifying Dengue Hotspots in Baguio City, Philippines through Spatiotemporal Analysis -- Discontinuous Galerkin Schemes for Master Equations Modeling Open Quantum Systems -- The Scaling Behavior of High-Order Structure Functions for a Turbulent Jet Induced by a Rotating Propeller -- Analysis of Computational Fluid Dynamics Approaches for the Development of Microfluidic Devices -- Extragradient Method For Monotone Variational Inequality in CAT(0) Spaces -- A Symbolic-Numerical Approach to Index Reduction and Solution of Differential-Algebraic Equations -- A MATLAB Code for Handling Efficiently Discontinuous BVPs -- Optimal Transport Flow Distribution and Construction of Wardrop Optimal Networks -- Optimizing the Reuse of Building Demolition Materials for Coastal Dunes Reestablishment -- A Simple Mathematical Solution to an Invariance Problem in Water Networks -- Scalability of Saharan Dust Outbreak Modelling with the Advanced Weather Research and Forecasting Model Coupled with Chemistry (WRF-Chem) -- Choosing Kernel Shape Parameters in Partition of Unity Methods by Univariate Global Optimization Techniques -- A Bayesian Approach for Simultaneously Radial Kernel Parameter Tuning in the Partition of Unity Method -- Application of Deep Learning for Wildfire Risk Management: Preliminary Results -- Node-Binded Communities for Interpolation on Graphs -- A Fast Algorithm for Numerical Differentiation from Scattered Data -- Preconditioning Strategies for RBF Interpolation -- An Alternative Nonlinear Diffusion Algorithm for Image Denoising and Deblurring -- Some Numerical Approaches for Bifurcation of Nonlinear Dynamic Systems -- The Effects of Different Mesh Sizes on a Cellular Automata-Based Hydrological Model -- Computation of the Confluent Hypergeometric Function M(a,b,x) -- Multi-Objective Support Vector Machine Classification Algorithm for Estimation of the Potential Atmospheric Water Harvesting -- IoT and Artificial Intelligence Integration for a Stormwater Monitoring and Management System -- Optimization Method Development for Water Management of Green Roof Systems -- Weighted Finite Element Method and Body of Optimal Parameters for One Problem of the Fracture Mechanics -- A Shallow Water Model: Analytical and Numerical Study for Simulating the Coastline Evolution -- On the Division in the Computation of Binary BBP-Type Formulas for Mathematical Constants -- Numerical Analysis of Sedimentation Tanks Efficiency Using CFD Simulation -- A Probabilistic Note on the WY Representation of Householder QR -- Applying Machine Learning to Improve Weather Forecasting in a Mediterranean Area: Preliminary Experiments.
Record Nr. UNISA-996641268903316
Sergeyev Yaroslav D  
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Numerical Computations: Theory and Algorithms : 4th International Conference, NUMTA 2023, Pizzo Calabro, Italy, June 14–20, 2023 Revised Selected Papers, Part III / / edited by Yaroslav D. Sergeyev, Dmitri E. Kvasov, Annabella Astorino
Numerical Computations: Theory and Algorithms : 4th International Conference, NUMTA 2023, Pizzo Calabro, Italy, June 14–20, 2023 Revised Selected Papers, Part III / / edited by Yaroslav D. Sergeyev, Dmitri E. Kvasov, Annabella Astorino
Autore Sergeyev Yaroslav D
Edizione [1st ed. 2025.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025
Descrizione fisica 1 online resource (387 pages)
Disciplina 004.0151
Altri autori (Persone) KvasovDmitri E
AstorinoAnnabella
Collana Lecture Notes in Computer Science
Soggetto topico Computer science - Mathematics
Computer engineering
Computer networks
Machine learning
Application software
Algorithms
Mathematics of Computing
Computer Engineering and Networks
Machine Learning
Computer and Information Systems Applications
ISBN 9783031812477
3031812476
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Circuit-Based Numerical Solutions of Transmission Lines: Application to Korteweg-de Vries Equations -- Deep Learning Methods for fMRI Classification -- Deep Learning for Scoliosis Diagnosis: Methods and Databases -- Understanding Spreading Dynamics of COVID-19 by Mining Human Mobility Patterns -- Variational Quantum Algorithms for Gibbs State Preparation -- Towards a Parallel Code for Cellular Behavior in Vitro Prediction -- Combinators as Observable Presheaves: A Characterization in the Grossone Framework -- Applying Variational Quantum Classifier on Acceptability Judgements: A QNLP experiment -- Unimaginable Numbers: A Case Study as a Starting Point for an Educational Experimentation -- Some Notes on a Continuous Class of Octagons -- Game Theory Presented to Italian High School Students in Connection with Infinity Computing -- Meta Discussion Pedagogical Model to Foster Mathematics Teacher's Professional Development -- A Variational Quantum Soft Actor-Critic Algorithm for Continuous Control Tasks -- Named Entity Recognition to Extract Knowledge from Clinical Texts -- Applied Mathematical Modelling in the Physics Problem-Solving Classroom -- AIR SAFE: Leveraging IoT Sensors and AI Models to Foster Optimal Indoor Conditions -- Unimaginable Numbers and Infinity Computing at School: An Experimentation in Northern Italy -- The Cantor-Vitali Function and Infinity Computing -- New Probabilistic Methods for Generating Risk Maps -- How to Deal with Different Densities of Urban Spatial Data? A Comparison of Clustering Approaches to Detect City Hotspots -- The Impact of Vectorization on The Efficiency of a Parallel PIC Code for Numerical Simulation of Plasma Dynamics in Open Trap -- Algorithms for Design with CNC Machines: The Case Study of Wood Furniture -- PyGrossone: A Python Library for the Infinity Computer -- Towards Reproducible Research in Machine Learning via Blockchain -- Dossier Classification to Support Workflow Management Optimization -- Self-Sovereign Identification of IoT Devices by Using Physically Unclonable Functions and Blockchain -- Introducing Nondum, a Mathematical Notation for Computation with Approximations -- Visualization of Multilayer Networks -- Legal Systems and Fractals, Towards Infinity Computing -- Exploit Innovative Computer Architecture with Molecular Dynamics -- A Sentiment Analysis on Reviews of Italian Healthcare.-A Numerical Approach to Basic Calculus -- Modelling Hyperentanglement for Quantum Information Processes -- An Innovative Sentiment Analysis Model for COVID-19 Tweets -- Exploring Hierarchical MPI Reduction Collective Algorithms Targeted to Multicore Node Clusters.
Record Nr. UNISA-996641267403316
Sergeyev Yaroslav D  
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Numerical Computations: Theory and Algorithms [[electronic resource] ] : Third International Conference, NUMTA 2019, Crotone, Italy, June 15–21, 2019, Revised Selected Papers, Part II / / edited by Yaroslav D. Sergeyev, Dmitri E. Kvasov
Numerical Computations: Theory and Algorithms [[electronic resource] ] : Third International Conference, NUMTA 2019, Crotone, Italy, June 15–21, 2019, Revised Selected Papers, Part II / / edited by Yaroslav D. Sergeyev, Dmitri E. Kvasov
Edizione [1st ed. 2020.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
Descrizione fisica 1 online resource (XXIV, 532 p. 271 illus., 93 illus. in color.)
Disciplina 004.0151
Collana Theoretical Computer Science and General Issues
Soggetto topico Computer science—Mathematics
Computer science
Application software
Computer engineering
Computer networks
Computer vision
Artificial intelligence
Mathematics of Computing
Theory of Computation
Computer and Information Systems Applications
Computer Engineering and Networks
Computer Vision
Artificial Intelligence
ISBN 3-030-40616-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Numerical Algorithms for the Parametric Continuation of Stiff ODEs Deriving from the Modeling of Combustion with Detailed Chemical Mechanisms -- Stability Analysis of DESA Optimization Algorithm -- Are Humans Bayesian in the Optimization of Black-box Functions -- A New Syntax for Diagrammatic Logic: a Generic Figures Approach -- Objective and Violation Upper Bounds on a DIRECT-Filter Method for Global Optimization -- The Approximate Synthesis of Optimal Control for Heterogeneous Discrete Systems with Intermediate Criteria -- Modelling Climate Changes with Stationary Models: Is It Possible or Is It a Paradox -- Differential Equations and Uniqueness Theorems for the Generalized Attenuated Ray Transforms of Tensor Fields -- Multiextremal Optimization in Feasible Regions with Computable Boundaries on the Base of the Adaptive Nested Scheme -- On Polyhedral Estimates of Reachable Sets of Discrete-Time Systems with Uncertain Matrices and Integral Bounds on Additive Terms -- Numerical Simulation of Hyperbolic Conservation Laws Using High Resolution Schemes with the Indulgence of Fuzzy Logic -- Methodology for Interval-Valued Matrix Games with 2-Tuple Fuzzy Linguistic Information -- Set-Membership Computation of Integrals with Uncertain Endpoints -- Epidemic Spreading Curing Strategy over Directed Networks -- Learning Aerial Image Similarity using Triplet Networks -- In the Quest for Invariant Structures through Graph Theory, Groups and Mechanics: Methodological Aspects in the History of Applied Mathematics -- Generalizations of the Intermediate Value Theorem for Approximating Fixed Points and Zeros of Continuous Functions -- Modelling Population Size Using Horvitz-Thompson Approach Based on the Zero-truncated Poisson Lindley Distribution -- Numerical Analysis of the Model of Optimal Consumption and Borrowing with Random Time Scale -- Short papers -- Conditions of the Stability Preservation under Discretization of a Class of Nonlinear Time-Delay Systems -- Numerical Investigation of Natural Rough-Bed Flow -- A Dynamic Precision Floating-Point Arithmetic based on the Infinity Computer Framework -- Numerical Strategies for Solving Multiparameter Spectral Problems -- Algorithms of 3D Wind Field Reconstructing by Lidar Remote Sensing Data -- Stationarity Condition for Nonsmooth MPVCs with Constraint Set -- Molecular Dynamics Performance Evaluation with Modern Computer Architecture -- Artificial Neural Networks Training Acceleration through Network Science Strategies -- Grossone Methodology for Lexicographic Mixed-Integer Linear Programming Problems -- Infinite Games on Finite Graphs using Grossone -- A Novel Geometric Approach to the Problem of Multidimensional Scaling -- A Simulink-Based Infinity Computer Simulator and Some Applications -- Generalizing Pure and Impure Iterated Prisoner’s Dilemmas to the Case of Infinite and Infinitesimal Quantities -- Multidimensional Global Search Using Numerical Estimations of Minimized Function Derivatives and Adaptive Nested Optimization Scheme -- 2-Approximation Polynomial-Time Algorithm for a Cardinality-Weighted 2-Partitioning Problem of a Sequence -- Exact Linear-Time Algorithm for Parameterized K-Means Problem with Optimized Number of Clusters in the 1D Case -- Polynomial-Time Approximation Scheme for a Problem of Searching for the Largest Subset with the Constraint on Quadratic Variation -- On a Comparison of Several Numerical Integration Methods for Ordinary Systems of Differential Equations -- On Acceleration of Derivative-Free Univariate Lipschitz Global Optimization Methods -- Numerical Simulation of Ski-Jump Hydraulic Behavior -- On Linear Spline Wavelets with Shifted Supports -- An Online Learning Approach to a Multi-player N-armed Functional Bandit -- The Singular Value Decomposition of the Operators of the Dynamic Ray Transforms Acting on 2D Vector Fields -- Numerical Investigation into a Combined Ecologically Pure Plasma-Vortex Generator of Hydrogen and Thermal Energy -- Computer Modeling of Electrochemical Impedance Spectra for Defected Phospholipid Membranes: Finite Element Analysis -- A Compact Filter Regularization Method for Solving Sideways Heat Equation -- Acceleration of Global Search by Implementing Dual Estimates for Lipschitz Constant -- The Method of Approximate Inverse in Slice-by-slice Vector Tomography Problems -- Computational Fluid Dynamics Methods for Wind Resources Assesment -- On Stationary Points of Distance Depending Potentials -- A Partition Based Bayesian Multi-objective Optimization Algorithm -- Problem Statement for Preparing a Single Batch of End Product Under Uncertainty.
Record Nr. UNISA-996418211103316
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui