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Active particles . Volume 3 : advances in theory, models, and applications / / Nicola Bellomo, José Antonio Carrillo, and Eitan Tadmor, editors
Active particles . Volume 3 : advances in theory, models, and applications / / Nicola Bellomo, José Antonio Carrillo, and Eitan Tadmor, editors
Pubbl/distr/stampa Cham, Switzerland : , : Springer International Publishing, , [2022]
Descrizione fisica 1 online resource (230 pages)
Disciplina 519.3
Collana Modeling and Simulation in Science, Engineering and Technology
Soggetto topico Mathematical optimization
Mathematical optimization - Computer programs
Models matemàtics
Optimització matemàtica
Soggetto genere / forma Llibres electrònics
ISBN 3-030-93302-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Preface -- Contents -- Variability and Heterogeneity in Natural Swarms: Experiments and Modeling -- 1 Introduction -- 2 Sources of Variability in Nature -- 2.1 Development as a Source of Variation -- 2.2 Transient Changes in the Behavior of Individuals -- 2.3 Environmentally Induced Variations -- 2.4 Social Structure -- 2.5 Inherent/Intrinsic Properties and Animal Personality -- 2.6 Variability in Microorganisms -- 3 Experiments with Heterogeneous Swarms -- 3.1 Fish -- 3.2 Mammals -- 3.3 Insects -- 3.4 Microorganisms -- 4 Modeling Heterogeneous Collective Motion -- 4.1 Continuous Models -- 4.2 Agent-Based Models -- 4.3 Specific Examples: Locust -- 4.4 Specific Examples: Microorganisms and Cells -- 5 Summary and Concluding Remarks -- References -- Active Crowds -- 1 Introduction -- 2 Models for Active Particles -- 2.1 Continuous Random Walks -- 2.1.1 Excluded-Volume Interactions -- 2.2 Discrete Random Walks -- 2.3 Hybrid Random Walks -- 3 Models for Externally Activated Particles -- 3.1 Continuous Models -- 3.2 Discrete Models -- 4 General Model Structure -- 4.1 Wasserstein Gradient Flows -- 4.2 Entropy Dissipation -- 5 Boundary Effects -- 5.1 Mass Conserving Boundary Conditions -- 5.2 Flux Boundary Conditions -- 5.3 Other Boundary Conditions -- 6 Active Crowds in the Life and Social Science -- 6.1 Pedestrian Dynamics -- 6.2 Transport in Biological Systems -- 7 Numerical Simulations -- 7.1 One Spatial Dimension -- 7.2 Two Spatial Dimensions -- References -- Mathematical Modeling of Cell Collective Motion Triggered by Self-Generated Gradients -- 1 Introduction -- 2 The Keller-Segel Model and Variations -- 2.1 The Construction of Waves by Keller and Segel -- 2.2 Positivity and Stability Issues -- 2.3 Variations on the Keller-Segel Model -- 2.4 Beyond the Keller-Segel Model: Two Scenarios for SGG.
3 Scenario 1: Strongest Advection at the Back -- 4 Scenario 2: Cell Leakage Compensated by Growth -- 5 Conclusion and Perspectives -- References -- Clustering Dynamics on Graphs: From Spectral Clustering to Mean Shift Through Fokker-Planck Interpolation -- 1 Introduction -- 1.1 Mean Shift-Based Methods -- 1.1.1 Lifting the Dynamics to the Wasserstein Space -- 1.2 Spectral Methods -- 1.2.1 Normalized Versions of the Graph Laplacian -- 1.2.2 More General Spectral Embeddings -- 1.3 Outline -- 2 Mean Shift and Fokker-Planck Dynamics on Graphs -- 2.1 Dynamic Interpretation of Spectral Embeddings -- 2.2 The Mean Shift Algorithm on Graphs -- 2.2.1 Mean Shift on Graphs as Inspired by Wasserstein Gradient Flows -- 2.2.2 Quickshift and KNF -- 3 Fokker-Planck Equations on Graphs -- 3.1 Fokker-Planck Equations on Graphs via Interpolation -- 3.2 Fokker-Planck Equation on Graphs via Reweighing and Connections to Graph Mean Shift -- 4 Continuum Limits of Fokker-Planck Equations on Graphs and Implications -- 4.1 Continuum Limit of Mean Shift Dynamics on Graphs -- 4.2 Continuum Limits of Fokker-Planck Equations on Graphs -- 4.3 The Witten Laplacian and Some Implications for Data Clustering -- 5 Numerical Examples -- 5.1 Numerical Method -- 5.2 Simulations -- 5.2.1 Graph Dynamics as Density Dynamics -- 5.2.2 Comparison of Graph Dynamics and PDE Dynamics -- 5.2.3 Clustering Dynamics -- 5.2.4 Effect of the Kernel Density Estimate on Clustering -- 5.2.5 Effect of Data Distribution on Clustering -- 5.2.6 Blue Sky Problem -- 5.2.7 Density vs. Geometry -- References -- Random Batch Methods for Classical and Quantum Interacting Particle Systems and Statistical Samplings -- 1 Introduction -- 2 The Random Batch Methods -- 2.1 The RBM Algorithms -- 2.2 Convergence Analysis -- 2.3 An Illustrating Example: Wealth Evolution -- 3 The Mean-Field Limit -- 4 Molecular Dynamics.
4.1 RBM with Kernel Splitting -- 4.2 Random Batch Ewald: An Importance Sampling in the Fourier Space -- 5 Statistical Sampling -- 5.1 Random Batch Monte Carlo for Many-Body Systems -- 5.2 RBM-SVGD: A Stochastic Version of Stein Variational Gradient Descent -- 6 Agent-Based Models for Collective Dynamics -- 6.1 The Cucker-Smale Model -- 6.2 Consensus Models -- 7 Quantum Dynamics -- 7.1 A Theoretical Result on the N-Body Schrödinger Equation -- 7.1.1 Mathematical Setting and Main Result -- 7.2 Quantum Monte Carlo Methods -- 7.2.1 The Random Batch Method for VMC -- 7.2.2 The Random Batch Method for DMC -- References -- Trends in Consensus-Based Optimization -- 1 Introduction -- 1.1 Notation and Assumptions -- 1.1.1 The Weighted Average -- 2 Consensus-Based Global Optimization Methods -- 2.1 Original Statement of the Method -- 2.1.1 Particle Scheme -- 2.1.2 Mean-Field Limit -- 2.1.3 Analytical Results for the Original Scheme Without Heaviside Function -- 2.1.4 Numerical Methods -- 2.2 Variant 1: Component-Wise Diffusion and Random Batches -- 2.2.1 Component-Wise Geometric Brownian Motion -- 2.2.2 Random Batch Method -- 2.2.3 Implementation and Numerical Results -- 2.3 Variant 2: Component-Wise Common Diffusion -- 2.3.1 Analytical Results -- 2.3.2 Numerical Results -- 3 Relationship of CBO and Particle Swarm Optimization -- 3.1 Variant 4: Personal Best Information -- 3.1.1 Performance -- 4 CBO with State Constraints -- 4.1 Variant 5: Dynamics Constrained to Hyper-Surfaces -- 4.1.1 Analytical Results -- 5 Overview of Applications -- 5.1 Global Optimization Problems: Comparison to Heuristic Methods -- 5.2 Machine Learning -- 5.3 Global Optimization with Constrained State Space -- 5.4 PDE Versus SDE Simulations -- 6 Conclusion, Outlook and Open problems -- References.
Record Nr. UNISA-996466417303316
Cham, Switzerland : , : Springer International Publishing, , [2022]
Materiale a stampa
Lo trovi qui: Univ. di Salerno
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Active Particles, Volume 3 : Advances in Theory, Models, and Applications / / edited by Nicola Bellomo, José Antonio Carrillo, Eitan Tadmor
Active Particles, Volume 3 : Advances in Theory, Models, and Applications / / edited by Nicola Bellomo, José Antonio Carrillo, Eitan Tadmor
Edizione [1st ed. 2022.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Birkhäuser, , 2022
Descrizione fisica 1 online resource (230 pages)
Disciplina 519.3
530.475
Collana Modeling and Simulation in Science, Engineering and Technology
Soggetto topico Mathematical models
System theory
Statistical physics
Statistical mechanics
Mathematical Modeling and Industrial Mathematics
Complex Systems
Statistical Physics
Statistical Mechanics
Models matemàtics
Optimització matemàtica
Soggetto genere / forma Llibres electrònics
ISBN 3-030-93302-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto G. Ariel, A. Ayali, A. Be'er, D. Knebel, Variability and Heterogeneity in Natural Swarms: Experiments and Modeling -- M. Bruna, M. Burger, J.-F. Pietschmann, M.-T. Wolfram, Active Crowds -- V. Calvez, M. Demircigil, R. Sublet, Mathematical Modeling of Cell Collective Motion Triggered by Self-Generated Gradients -- K. Craig, N. Garcia Trillos, D. Slepcev, Clustering Dynamics on Graphs: From Spectral Clustering to Mean Shift Through Fokker-Planck Interpolation -- S. Jin, L. Li, Random Batch Methods for Classical and Quantum Interacting Particle Systems and Statistical Samplings -- C. Totzeck, Trends in Consensus-Based Optimization.
Record Nr. UNINA-9910556880003321
Cham : , : Springer International Publishing : , : Imprint : Birkhäuser, , 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Addressing Modern Challenges in the Mathematical, Statistical, and Computational Sciences : The VI AMMCS International Conference, Waterloo, Canada, August 14–18, 2023 / / edited by D. Marc Kilgour, Herb Kunze, Roman N. Makarov, Roderick Melnik, Xu Wang
Addressing Modern Challenges in the Mathematical, Statistical, and Computational Sciences : The VI AMMCS International Conference, Waterloo, Canada, August 14–18, 2023 / / edited by D. Marc Kilgour, Herb Kunze, Roman N. Makarov, Roderick Melnik, Xu Wang
Autore Kilgour D. Marc
Edizione [1st ed. 2025.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025
Descrizione fisica 1 online resource (913 pages)
Disciplina 519
Altri autori (Persone) KunzeHerb
MakarovRoman N
MelnikRoderick
WangXu
Collana Springer Proceedings in Mathematics & Statistics
Soggetto topico Mathematics
Mathematical models
Engineering mathematics
Engineering - Data processing
Social sciences
Artificial intelligence - Data processing
Biomathematics
Applications of Mathematics
Mathematical Modeling and Industrial Mathematics
Mathematical and Computational Engineering Applications
Mathematics in the Humanities and Social Sciences
Data Science
Mathematical and Computational Biology
Estadística matemàtica
Models matemàtics
Soggetto genere / forma Llibres electrònics
ISBN 9783031848698
9783031848681
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto PartI:Advances in Mathematical Modelling and Theory -- The Study of the Transformation Semigroup of the Abelian and Directed Non-Abelian Sandpiles -- On Constructing Finite Automata by Relational Programming -- Skeleton Key: Subduction Classes in Finite Transformation Semigroups and Green’s Relations -- The Attractor-Cycle Notation for Finite Transformations -- Algebraic Applications in Investigation of Musical Symmetry -- Analysis of the Semigroup Related to the Petri Net of a Traffic Roundabout.-PartII:Innovations in Statistical Machine Learning and Stochastic Models -- From Interval-valued Neurons to Convex-polygon-valued Neurons, with Sparsity and Entropy Criteria -- Excursions of Solvable Scalar Diffusions -- Hybrid Impulsive Formation Control of Vehicle Platoons Using Neural Networks -- Pinning impulsive control for synchronization of complex-valued delayed multilayer networks -- Quasi-synchronization of fractional-order multiplex networks with parameter mismatch via intermittent control -- Part III: Mathematical Modelling in Engineering, Physical and Chemical Sciences -- An Optimization-based Approach to Image Fusion using Structural Similarity -- Hamiltonian engineering with time-ordered evolution for unitary control of electron spins in semiconductor quantum dots -- Exploring the use of gradients in the Structural Similarity image quality measure -- Simulated Charge Stability in a MOSFET Linear Quantum Dot Array -- Vreman Stabilization for Nonlinear Greenshield’s Model for Traffic Flow -- Computational Modelling of Heat Transport in Kinked Nanowires -- Telling Oil Temperature for Frying from Audio and Video Signals based on Multimodal Learning -- Gravitational Models with State-Dependent Delay: Gravitating Binaries -- Self-similar Heat Transfer in a Turbulent Particle-laden Free Flow -- A Tire Side Slip Model with Dynamic Friction Distribution over the Contact Patch -- Part IV: Mathematical and Statistical Modelling in Biological, Medical and Health Sciences -- Stability and Qualitative Analysis of a Switched SQEIAR- Based Epidemic Model -- The Influence of Refuges, Fear, and Velocities on Predator-prey Dynamics -- A Multiscale Model for Protein Allostery: Side Chain Concerted Motions Initiated by Brownian Kicks -- Near-soma Activated Action Potential in Gonadotropin-releasing Hormone Neurons -- Modeling Patterns of Sex-Dependent Neuroprotection Loss in Alzheimer’s Disease -- Deciphering heterogeneity of ATP-induced Ca2+ responses in osteoblasts using the flux-balance model -- Parameter Estimation of Hodgkin-Huxley Model: A Comparative Study of Genetic Algorithm and Artificial Neural Network Approach -- PartV: Mathematics and Computation in Finance, Economics, and Social Sciences -- Credit Risk Modelling with Occupation Times under Nonlinear Local Volatility Models -- Financial News Headlines Sentiment Analysis Enhances Stock Market Prediction -- Self-Exciting Point Processes in Real Estate -- Algebraic Structure and Complexity of Games -- State-Complexity Relations in Evolved Players of the Iterated Prisoners’ Dilemma -- The Sparse Grid Combination Method for Multidimensional Black-Scholes Partial Differential Equations -- PartVI: Theory and Computational Methods for Differential Equations -- Input-to-state stability for cascaded impulsive systems and H∞control -- Time Filtered Finite Difference Schemes for Linear Hyperbolic Problems -- Computational Considerations for Implementing the Collage Method for ODE Inverse Problems -- Penalty Ensembles for Navier-Stokes with Random Initial Conditions & Forcing -- Explicit Periodic Solutions in a Delay Differential Equation -- Proportional Consistency of Apportionment Methods -- Observer-Based Adaptive Robust Fractional Order Control of a class of Nonlinear Delayed Constrained Systems with Singularity -- Stability criteria of a class of nonlinear impulsive neutral swithcing systems -- pythOS: An operator-splitting library in Python -- Sensitivity and Optimal Control Theory for Linear Complementarity Systems -- History of an Oscillation Criterion for First-Order Delay Differential Equations -- Observer and Command Filter-Based Prescribed Performance Control for a Class of onlinear Systems with Mismatched Disturbances.
Record Nr. UNINA-9911021966403321
Kilgour D. Marc  
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Advanced Mathematical Science for Mobility Society / / edited by Kazushi Ikeda, Yoshiumi Kawamura, Kazuhisa Makino, Satoshi Tsujimoto, Nobuo Yamashita, Shintaro Yoshizawa, Hanna Sumita
Advanced Mathematical Science for Mobility Society / / edited by Kazushi Ikeda, Yoshiumi Kawamura, Kazuhisa Makino, Satoshi Tsujimoto, Nobuo Yamashita, Shintaro Yoshizawa, Hanna Sumita
Edizione [1st ed. 2024.]
Pubbl/distr/stampa Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024
Descrizione fisica 1 online resource (VIII, 215 p. 52 illus., 40 illus. in color.)
Disciplina 004.0151
Soggetto topico Computer science
Mathematical models
Quantitative research
Transportation engineering
Traffic engineering
Theory and Algorithms for Application Domains
Mathematical Modeling and Industrial Mathematics
Data Analysis and Big Data
Transportation Technology and Traffic Engineering
Informàtica
Models matemàtics
Investigació quantitativa
Enginyeria del trànsit
Soggetto genere / forma Llibres electrònics
ISBN 981-9997-72-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Part 1. Introduction, motivation, and direction for Advanced Mathematical Science for Mobility Society, together with the project between Toyota Motor Corporation and Kyoto University -- Chapter 1. Advanced Mathematical Science for Mobility Society -- Part 2. Mathematical models of flow Chapter. 2. Analysis of many-body particle systems by geometry and box-ball-system theory -- Chapter 3. Discrete Integrable Systems, LR transformations and Box-Ball Systems -- Part 3. Mathematical methods for huge data and network analysis -- Chapter 4. Eigenvalue Analysis in Mobility Data -- Chapter 5. Application of tensor network formalism for processing tensor data -- Chapter 6. Machine Learning Approach to Mobility Analysis -- Chapter 7. Graph optimization problems and algorithms for DAG-type blockchains -- Part 4. Algorithm for mobility society -- Chapter 8. Control and optimization of one-way car-sharing systems -- Chapter 9. Algorithms for future mobility society Chapter 10. Mechanism Design for Mobility.
Record Nr. UNINA-9910845080703321
Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Advances in computational methods and technologies in aeronautics and industry / / edited by Dietrich Knoerzer, Jacques Periaux, and Tero Tuovinen
Advances in computational methods and technologies in aeronautics and industry / / edited by Dietrich Knoerzer, Jacques Periaux, and Tero Tuovinen
Pubbl/distr/stampa Cham, Switzerland : , : Springer, , [2022]
Descrizione fisica 1 online resource (290 pages)
Disciplina 551.48
Collana Computational Methods in Applied Sciences
Soggetto topico Aeronautics
Aeronàutica
Models matemàtics
Processament de dades
Soggetto genere / forma Llibres electrònics
ISBN 3-031-12019-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNISA-996503550903316
Cham, Switzerland : , : Springer, , [2022]
Materiale a stampa
Lo trovi qui: Univ. di Salerno
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Advances in fuzzy group decision making / / Tin-Chih Toly Chen
Advances in fuzzy group decision making / / Tin-Chih Toly Chen
Autore Chen Toly <1969->
Pubbl/distr/stampa Cham, Switzerland : , : Springer, , [2021]
Descrizione fisica 1 online resource (94 pages)
Disciplina 003.56
Collana SpringerBriefs in Applied Sciences and Technology
Soggetto topico Fuzzy decision making
Conjunts borrosos
Decisió de grup
Models matemàtics
Group decision making - Mathematical models
Soggetto genere / forma Llibres electrònics
ISBN 3-030-86208-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNISA-996466387303316
Chen Toly <1969->  
Cham, Switzerland : , : Springer, , [2021]
Materiale a stampa
Lo trovi qui: Univ. di Salerno
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Advances in Mathematical Modeling and Scientific Computing : International Conference on Recent Developments in Mathematics, Dubai, 2022 – Volume 2 / / edited by Firuz Kamalov, R. Sivaraj, Ho-Hon Leung
Advances in Mathematical Modeling and Scientific Computing : International Conference on Recent Developments in Mathematics, Dubai, 2022 – Volume 2 / / edited by Firuz Kamalov, R. Sivaraj, Ho-Hon Leung
Edizione [1st ed. 2024.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Birkhäuser, , 2024
Descrizione fisica 1 online resource (933 pages)
Disciplina 511.8
Collana Trends in Mathematics
Soggetto topico Mathematical models
Mathematical Modeling and Industrial Mathematics
Models matemàtics
Informàtica
Soggetto genere / forma Congressos
Llibres electrònics
ISBN 9783031414206
3031414209
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto PART 1 - Differential Equations: High-Precision Algorithms For Fredholm Integral Equations (Awawdeh) -- A new decay estimate for a weakly dissipative viscoelastic suspension bridge (Al-Gharablic) -- Existence and uniqueness of Renormalized solution to non-coercive elliptic problem with measure data (Ou´edraogo) -- Fixed-Point Theorems Based Evaluation of Analytical Solution in Fractional Diffusion Equations (Malathi) -- Control and Synchronization of a Modified Chaotic Finance System with Integer and Non-Integer Orders (Moaddy) -- Dutch Book Methods for difference and differential equations (Gandolfi) -- Fourier modes in fluid flow and energy cascade (Afanasyeva) -- Approximate solutions of third order time fractional dispersive equations with singular and non singular kernel derivatives (Raghavendar) -- Choosing between vaccine efficacy and vaccine price: mathematical model for COVID19 (Al-arydah) -- Classification of Cosmological Wormhole Solutions in the Framework of General Relativity (Al-Ali) -- Use of Technology and Software in Mathematics Education (Jain) -- Modified VIM for the Solutions of Gas Dynamics (Fatima) -- PART 2 - Mechanics: Nanofluid containing motile gyrotactic microorganisms squeezed between parallel disks (Umavathi) -- Linear model for two layer porous bed suspended with nano sized particles (Umavathi) -- Effect of Variable Viscosity on Magnetohydrodynamics Mixed Convection Flow from a Vertical Flat Plate (Ajaykumar) -- Line effects in the Darcy-B´enard instability in a rotating anisotropic porous layer saturated with a fluid of variable viscosity (Suthar) -- Soret and Dufour Effects on Radiative MHD Thermosolutal Viscoplastic Nanofluid Mixed convective Flow Past a Bidirectional Stretching Sheet (Venkatadri) -- Influence of Slip Velocity on an Infinite Cylinder and Rough Flat Plate lubricated with couple stress fluid (Sreekala) -- Simulation of MHD Quadratic Natural Convection Flow of Nanofluid Inside a Square Enclosure with Thermal Radiation Effect (Venkatadri) -- Combined Effects of Magnetic Field and Heat Source on Double Diffusive Marangoni Convection in Fluid-Porous Structure (Manjunatha) -- Peristalsis and Taylor Dispersion of Solute in the Flow of Casson Fluid (Nagarani) -- An Aligned Magnetic field effect on Unsteady Heat and Mass Transfer Flow of non-Newtonian Fluid through Porous Medium (Maheshbabu) -- Effect of viscosity variation and slip velocity on the squeeze film characteristics between a cylinder and a plane plate with couple stress fluid (Salma) -- Turbulence Generators and Turbulence Structure (Selvam) -- Conjugate buoyant convection of nanoliquids in a porous saturated annulus (Arokiaraj) -- The characteristic of squeeze film due to Impact of couple stress and MHD on curved annular circular plates (Nair) -- An Exact Analytical Solution Marangoni Boundary Layer Flow with Heat and Mass Transfer (Hatami) -- Hybrid Nanofluid Flow and Thermal Transport Analysis in a Linearly Heated Cylindrical Annulus (Sankar) -- Influence of non-similar heating on nanofluid buoyant convection of nanofluid in a tilted porous parallelogrammic geometry (Sankar) -- Buoyant Convection of Nanofluid in an annular domain with linearly heating (Girish) -- Thermal and entropy management of nanoliquid in a discretely heated inclined square geometry (Kumara Swamy) -- Linear and Non-linear Analysis of Unicellular Rayleigh-B´enard Magneto Convection in a Micropolar Fluid Occupying Enclosures (Jestine) -- Study uf Rayleigh - Bénard - Marangoni Convention in a Microfliud with Corirlos Force (Baby) -- Performance of magnetic dipole contribution on ferromagnetic heat and mass transfer flow with the influence of non-linear radiative heat flux (Venkatadri) -- Thermogravitational Convective Flow inside a Cavity with a Heated Circular Cylinder: A Finite Difference Analysis via Vorticity Stream Function Approach (Venkatadri) -- An Unsteady Flow of Fluid Velocity, Temperature and Heat Emission on Mhd Free Convection Flow of Some Nanofuids (Ramesh Babu) Finite Element Analysis of Unsteady Dispersion in Casson Fluid Flow (Nagarani) -- Thermosolutal Convection in a Tilted Porous Parallelogrammic Enclosure with Discrete Heating and Salting (Sankar) -- An application of generalized Fourier and Fick’s law over a different non Newtonian fluid (Padmavathi) -- Micropolar nanofluid enfolded with viscous fluid: Three layer flow Operation Research Production inventory model for three levels of production with defective items, shortages including multi delivery policy (Karthikeyan) -- Accomplishment Expedients Of Batch Arrival Queuing Model by Fuzzy Ordering approach (Ramesh) -- Analysis of a M[x]/G/1 retrial queue with Secondary optional Service subject to Bernoulli Vacation, Server Breakdown and Customer Baulking (Indhira) -- Solving Neutrosophic Bi-objective Assignment Problem using Different Approaches (Anuradha) -- Analysis of Attainment Estimates of Loss System Queue (Seenivasan) -- Performance scrutinity of an M/G/1 Retrial Queue with Two-Phase Service and Preemptive Resume under Working Vacations and Working Breakdowns (Indhira) -- Models of Goal Programming & R Programming to Earmark Acreage (Shalini) -- Neutral- Bipolar Fuzzy Sets and its Applications (Rosline) -- Critical path in an intuitionistic triangular fuzzy number for Time Cost Trade Off in project network by the modified traditional method (Deepa) -- Operations on Alternate Quadra - Submerging Polar (AQSP) Fuzzy Graphs and its Applications (Rosline) -- Optimal Solution for Transportation Problems using Trapezoidal Fuzzy Numbers (Boobalan) -- Heterogeneous Queueing Model with Intermittently Obtainable Server with Feedback (Indhira) -- An Economic order quantity inventory model for the food supply chain with waste minimization based on a circular economy (Karthikeyan) -- Achievement Estimations of Priority Queue System in Fuzzy Environment (Seenivasan) -- Poisson jumps and state-dependent delay in a sequential approximation of stochastic neutral partial integro-differential systems (Pradeepa) -- A hybrid genetic algorithm based linear programming model to optimize feed cost for Indian Ruminants: With Stochastic Model in Comparison (Kuntal) -- PART 3 - Statistics: Outlier Detection using the Range Distribution Dania Dallah and Hana Sulieman (Dallah) -- Presenting a flexible class of INAR(p) models to analyze the COVID-19 series in Mauritius (Youssef) -- Prediction of Social Status on Depression by using Logistic Regression (Karthikeyan) -- Single Working Vacation Queue, Server Failure With Appearance of Backup Server (Seenivasan) -- Exploring ARIMA models with interacted lagged variables for forecasting (Dhandra) -- A Novel Hybrid Model for Time Series Forecasting Using Artificial Neural Networks and Autoregressive Integrated Moving Average Models (Baskaran) -- PART 4 - Graph Theory Sigma chromatic number of Mycielski transformation of graphs (Balamurugan) -- Bipartite Decomposition of Graphs using Chromatic Number (Karthika) -- Degree-Based Topological Indices and QSPR Analysis of Some Drugs Used in the Treatment of Dengue (Balamurugan) -- Orientation Number of Two Complete Bipartite Graphs with Linkages (Rajasekaran) -- Packing Chromatic Number of Windmill related Graphs (Santiago) -- Complementary triple connected total domination number of a graph (Mahadevan) -- Pebbling Number and 2-Pebbling property for the Middle Graphs of the graph obtained from fan graph by deleting f independent Edges (Dhivviyanandam) -- The De Brunn Graoh Ofsequential Repetition of Patterns in DNA Strings (Fong) -- Independent Domination Number of Cyclic and Acyclic Graphs (Balamurugan) -- Computation of Complete Partite- Zumkeller Graphs (Balamurugan) -- Characterizations of (gamma(i), gamma(DDS), gamma(DSNS)) – Trees (Yamuna) -- Mobius Cordial Labeling of Graphs (Balamurugan) -- Selfipendant and Extremal Pendant Graphs (Kottarathil) -- PART 5 - Mathematical Education : Computing the CD-number of Strong product of graphs (Mahadevan) -- Detection of TCC-Domination number for some product related graphs (Mahadevan) -- Learners’ Mental Constructions in Learning Circle Geometry (Brijlall) -- N - Separation Axioms in Topological Spaces (Alsalem) -- Investigating how the Activity, Classroom Discussion, and Exercise (ACE)Teaching Cycle influences Learners’ Problem-Solving and achievement in Circle Geometry (Brijlal) -- Exploring possible teacher and learner support structures to improve learner Mathematics performance (Brijlal) -- A study of Mathematical Epidemiology Model of Dengue Spread with fractional Properties (Jain).
Record Nr. UNINA-9910842283203321
Cham : , : Springer International Publishing : , : Imprint : Birkhäuser, , 2024
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Advances in modeling and simulation : festschrift for Pierre L'Ecuyer / / Zdravko Botev [and three others], editors
Advances in modeling and simulation : festschrift for Pierre L'Ecuyer / / Zdravko Botev [and three others], editors
Pubbl/distr/stampa Cham, Switzerland : , : Springer, , [2022]
Descrizione fisica 1 online resource (426 pages)
Disciplina 511.8
Soggetto topico Mathematical models
Simulation methods
Models matemàtics
Mètodes de simulació
Soggetto genere / forma Llibres electrònics
ISBN 3-031-10193-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Preface -- Acknowledgements -- Biography -- Contents -- Monte Carlo Methods for Pricing American Options -- 1 Introduction -- 2 American Option Pricing -- 3 Binomial Tree Method -- 4 Dynamic Programming Approach -- 4.1 Regression Methods -- 4.2 Malliavin Calculus -- 5 Control Variates -- 6 Numerical Experiments -- 7 Conclusion -- References -- Remarks on Lévy Process Simulation -- 1 Introduction -- 2 Lévy Processes -- 3 Main Examples -- 4 The ε-Algorithm -- 5 Using Complete Monotonicity Structure -- 6 Numerical Examples -- 7 Exact Simulation of X(h) and other Methods -- 8 Maxima, Minima and Other Path Functionals -- References -- Exact Sampling for the Maximum of Infinite Memory Gaussian Processes -- 1 Introduction -- 2 Basic Strategy -- 2.1 Milestone Events -- 2.2 Main Algorithm -- 3 Intermediate Steps in Algorithm 2 -- 4 Analysis of Algorithm 2 -- 4.1 Output Analysis -- 4.2 Complexity Analysis -- 5 Numerical Experiments -- 6 Conclusion -- References -- Truncated Multivariate Student Computations via Exponential Tilting -- 1 Introduction -- 2 Review of the Sequentially Tilted Proposal Density -- 3 Asymptotic Efficiency of the IS Estimator -- 4 Application to Constrained Linear Regression -- 5 Tobit Model Application -- 6 Application to ``Bayesian'' Splines for Non-negative Functions -- 7 The Reject-Regenerate Sampler -- 7.1 Nummelin Splitting of Transition Kernel -- 7.2 Rare-Event Robustness -- 8 Concluding Remarks -- References -- Quasi-Monte Carlo Methods in Portfolio Selection with Many Constraints -- 1 Introduction -- 2 Classical Portfolio Selection in a Nutshell -- 3 Portfolio Optimization with Many Constraints -- 4 Approximation of the Opportunity Set by Naïve Monte Carlo, and by Exponential Monte Carlo -- 5 Approximation of the Opportunity Set with Exponential QMC.
6 Approximating the Market Portfolio with MC, Exponential MC, and Exponential QMC -- 7 Approximating the Whole OS with MC, Exponential MC, and Exponential QMC -- 8 How to Calculate the Dispersion of a Sample Set in an OS? -- 9 Some Simulation Results -- 10 Conclusions, Outlook, and Further Practical Problem -- References -- Geometric-Moment Contraction of G/G/1 Waiting Times -- 1 Introduction -- 2 Main Results -- 3 Monte Carlo Results -- 3.1 M/M/1 Queue -- 3.2 M/G/1 Queues -- 4 Conclusions -- References -- Tractability of Approximation in the Weighted Korobov Space in the Worst-Case Setting -- 1 Introduction -- 2 Basic Definitions -- 2.1 Function Space Setting -- 2.2 Approximation in script upper H Subscript d comma alpha comma bold italic gammamathcalHd,α,γ -- 2.3 The Worst-Case Setting -- 2.4 Useful Relations -- 2.5 Relations to the Average-Case Setting -- 2.6 Notions of Tractability -- 3 The Results for normal upper A normal upper P normal upper P Subscript 2APP2 -- 4 The Results for normal upper A normal upper P normal upper P Subscript normal infinityAPPinfty -- 5 Overview and Formulation of Open Problems -- 5.1 Open Problems -- References -- Rare-Event Simulation via Neural Networks -- 1 Introduction -- 1.1 Background -- 2 Rare-Event Deep Learning -- 2.1 Networks and Loss Functions -- 2.2 Kernel Density Estimation -- 2.3 Training Procedure -- 2.4 Rare-Event Distribution -- 3 Experimental Results -- 3.1 Learning Normal Distributions -- 3.2 Normal Distribution Rare-Events -- 3.3 Learning Sum of Exponential Distributions -- 4 Conclusions and Further Research -- References -- Preintegration is Not Smoothing When Monotonicity Fails -- 1 Introduction -- 1.1 Related Work -- 1.2 The Problem -- 1.3 Informative Examples -- 1.4 Outline of This Paper -- 2 Smoothness Theorems in dd Dimensions -- 3 A High-Dimensional Example -- 4 Conclusion -- References.
Combined Derivative Estimators -- 1 Introduction -- 2 Derivative Estimation -- 2.1 Background -- 2.2 Combined Estimators -- 2.3 Second Derivatives -- 2.4 Finite Difference Estimators and IPA -- 2.5 IPA and Randomized Score Functions -- 2.6 LRM Singularities -- 2.7 Generalized Likelihood Ratio Method -- 3 A Barrier Option Example -- 3.1 The Option Pricing Setting -- 3.2 The Barrier Option -- 3.3 A Combined IPA-LRM Estimator of Wang et al. ch10wang -- 3.4 GLR as a Combined IPA-LRM Estimator -- 4 Approaching Continuous Time: Averaging Low-Rank GLR Estimators -- 4.1 Approximating Continuous-Time Sensitivities -- 4.2 Averaging GLR Estimators -- 5 Concluding Remarks -- References -- A Central Limit Theorem For Empirical Quantiles in the Markov Chain Setting -- 1 Introduction -- 2 A Quantile Central Limit Theorem -- 3 A Uniform CLT for 1-Dependent Sequences -- 4 A Quantile Central Limit Theorem for Harris Processes -- 5 The Validity of Non-overlapping Batch-Means Estimation -- 6 Sufficient Conditions -- References -- Simulation of Markov Chains with Continuous State Space by Using Simple Stratified and Sudoku Latin Square Sampling -- 1 Introduction -- 2 Markov Chain Simulation with Stratified Sampling -- 2.1 Classical Monte Carlo -- 2.2 Simple Stratified Sampling -- 2.3 Sudoku Latin Square Sampling -- 3 Variance Bounds -- 3.1 Classical Monte Carlo -- 3.2 Simple Stratified Sampling -- 3.3 Sudoku Latin Square Sampling -- 4 Numerical Experiments -- 4.1 An Autoregressive Process -- 4.2 A European Put Option -- 4.3 Diffusion -- 5 Conclusions -- References -- Quasi-Random Sampling with Black Box or Acceptance-Rejection Inputs -- 1 Introduction -- 2 Methods for the Black Box Setting -- 2.1 Methods Based on the Empirical Quantile Function -- 2.2 Methods Based on a Generalized Pareto Approximation in the Tail -- 3 Combining AR with RQMC.
4 Application: Basket Option Pricing -- 5 Conclusion -- References -- A Generalized Transformed Density Rejection Algorithm -- 1 Introduction -- 2 Transformed Density Rejection with Inflection Points -- 3 Determine Signs of Second Derivatives -- 3.1 Initial Intervals -- 3.2 Splitting Intervals -- 4 The Algorithm -- 5 Applications -- 5.1 Generalized Hyperbolic Distribution -- 5.2 Truncated Distributions -- 5.3 Watson Distributions -- 6 Conclusions -- References -- Fast Automatic Bayesian Cubature Using Sobol' Sampling -- 1 Introduction -- 2 Bayesian Cubature -- 3 Digital Nets and Walsh Kernels -- 3.1 Digital Sequences -- 3.2 Covariance Kernels Constructed Via Walsh Functions -- 3.3 Eigenvector-Eigenvalue Decomposition of the Gram Matrix -- 4 Numerical Experiments -- 4.1 Multivariate Gaussian Probability -- 4.2 Keister's Example -- 4.3 Asian Option Pricing -- 4.4 Discussion -- 5 Conclusion and Future Work -- References -- Rendering Along the Hilbert Curve -- 1 Introduction -- 2 Visual Error in Image Synthesis -- 3 Enumerating Pixels Along the Hilbert Curve -- 3.1 Correlation in Space-Filling Curves -- 3.2 Blue-Noise Dithered Sampling -- 4 Progressive Image Synthesis -- 4.1 Deterministic Cranley-Patterson Rotation -- 4.2 Randomization -- 4.3 Contiguous Segments of one Low Discrepancy Sequence -- 4.4 Partitioning one Low Discrepancy Sequence -- 5 Results and Discussion -- 6 Conclusion -- References -- Array-RQMC to Speed up the Simulation for Estimating the Hitting-Time Distribution to a Rare Set of a Regenerative System -- 1 Introduction -- 2 Regenerative-Simulation-Based Estimators of the Distribution of the Hitting Time to a Rarely Visited Set -- 2.1 Assumptions and Notations -- 2.2 Exponential Limit -- 2.3 Exponential Estimators with Monte Carlo (MC) -- 2.4 Convolution Estimators with Monte Carlo.
3 Array-RQMC Implementation of Regenerative-Simulation-Based Estimators of Quantiles -- 3.1 RQMC and Array-RQMC -- 3.2 Array-RQMC Exponential and Convolution Estimators -- 4 Numerical Illustration of the Gain on the Simulation of an M/M/1 Queue -- 5 Conclusions -- References -- Foundations of Ranking & -- Selection for Simulation Optimization -- 1 Introduction -- 2 Set Up -- 3 The Normal Means Case -- 3.1 The Indifference-Zone (IZ) Formulation -- 3.2 R& -- S Based on ``Statistical Learning'' -- 3.3 A Convergence-Rate Perspective -- 3.4 Doing Better Than ``Rate Optimal'' -- 3.5 Common Random Numbers -- 3.6 ``Good Selection'' -- 3.7 Unknown Variances -- 3.8 A Note on Asymptotic Analysis -- 4 Parallel R& -- S -- 4.1 New Measures of Efficiency -- 4.2 New Objectives -- 4.3 Parting Thoughts -- 5 Other Formulations -- 6 Multi-armed Bandits -- References -- Where are the Logs? -- 1 Introduction -- 2 Background -- 3 Proof of the Lower Bound -- 4 Discrepancy and the Case of d equals 1d=1 -- 5 Empirical Investigations for d equals 2d=2 -- 6 Very Large mm for Sobol' Nets -- 7 Discussion -- References -- Network Reliability, Performability Metrics, Rare Events and Standard Monte Carlo -- 1 Introduction -- 2 Performability Metrics and Resilience -- 2.1 The Resilience Metric -- 2.2 Some Properties of Resilience -- 3 Using Standard Monte Carlo for Resilience-Based Analysis -- 3.1 The Standard Estimator -- 3.2 The Standard Estimator Efficiently Implemented in the Rare Event Case -- 3.3 Estimating the Resilience -- 3.4 Improving Algorithm B -- 3.5 Sensitivity Analysis -- 4 Examples and Discussions -- 5 Conclusions -- References.
Record Nr. UNISA-996499866203316
Cham, Switzerland : , : Springer, , [2022]
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Algorithms for a New World [[electronic resource] ] : When Big Data and Mathematical Models Meet / / by Alfio Quarteroni
Algorithms for a New World [[electronic resource] ] : When Big Data and Mathematical Models Meet / / by Alfio Quarteroni
Autore Quarteroni Alfio
Edizione [1st ed. 2022.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022
Descrizione fisica 1 online resource (68 pages) : illustrations
Disciplina 006.3
Soggetto topico Mathematics
Machine learning
Artificial intelligence
Quantitative research
Algorithms
Applications of Mathematics
Machine Learning
Artificial Intelligence
Data Analysis and Big Data
Models matemàtics
Intel·ligència artificial
Dades massives
Soggetto genere / forma Llibres electrònics
ISBN 9783030961664
9783030961657
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto 1 Epidemic -- 2 Retrospective -- 3 Interlude: the revolution that did not happen and the revolution that was unforeseen -- 4 Artificial intelligence, learning computers, artificial neural networks -- 5 A bit of maths (behind artificial intelligence and machine learning) -- 6 BIG DATA - BIG BROTHER (or, on the ethical and moral aspects of artificial intelligence).
Record Nr. UNISA-996483155303316
Quarteroni Alfio  
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022
Materiale a stampa
Lo trovi qui: Univ. di Salerno
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Analysis and design of nonlinear systems in the frequency domain / / Yunpeng Zhu
Analysis and design of nonlinear systems in the frequency domain / / Yunpeng Zhu
Autore Zhu Yunpeng
Pubbl/distr/stampa Cham, Switzerland : , : Springer, , [2021]
Descrizione fisica 1 online resource (xxi, 164 pages) : illustrations
Disciplina 003.75
Collana Springer Theses, Recognizing Outstanding Ph.D. Research
Soggetto topico Nonlinear systems - Mathematical models
Volterra equations
Sistemes no lineals
Models matemàtics
Equacions de Volterra
Soggetto genere / forma Llibres electrònics
ISBN 3-030-70833-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Supervisor's Foreword -- Preface -- Acknowledgements -- Contents -- Contributors -- Abbreviations -- 1 Introduction -- 1.1 Background -- 1.1.1 Modelling of Nonlinear Systems -- 1.1.2 Frequency Domain Analysis and Design of Nonlinear Systems -- 1.1.3 LS Methods in Nonlinear System Analyses -- 1.1.4 Convergence Issues with the Frequency Analysis of Nonlinear Systems -- 1.2 Aim, Objectives and Contributions -- 1.3 Thesis Layout -- References -- 2 Nonlinear Systems and the Frequency Domain Representations -- 2.1 Introduction -- 2.2 Polynomial Models of Nonlinear Systems -- 2.2.1 The NDE Model of Nonlinear Systems -- 2.2.2 The Polynomial NARX Model of Nonlinear Systems -- 2.2.3 The NARX-M-for-D of Nonlinear Systems -- 2.3 The Frequency Domain Representations of Nonlinear Systems -- 2.3.1 The Volterra Series Representation -- 2.3.2 The Generalised Frequency Response Functions (GFRFs) of Nonlinear Systems -- 2.3.3 The Nonlinear Output Frequency Response Functions (NOFRFs) of Nonlinear Systems -- 2.3.4 The Output Frequency Response Function (OFRF) of Nonlinear Systems -- 2.4 Conclusions -- References -- 3 Generalized Associated Linear Equations (GALEs) with Applications to Nonlinear System Analyses -- 3.1 Introduction -- 3.2 The Associated Linear Equations (ALEs) of Nonlinear Systems -- 3.2.1 The ALEs of Duffing Equations -- 3.2.2 The ALEs of the NARX Model -- 3.3 The Generalized Associated Linear Equations (GALEs) -- 3.3.1 The Concept of the GALEs -- 3.3.2 Determination of the GALEs -- 3.4 System Analyses Using the GALEs -- 3.4.1 Evaluation of the Output Response of Nonlinear Systems -- 3.4.2 Evaluation of the NOFRFs of Nonlinear Systems -- 3.4.3 Evaluation of the OFRF of Nonlinear Systems -- 3.5 Application of the GALEs to Nonlinear System Modelling, Fault Diagnosis, and Design.
3.5.1 Application to the Identification of the NDE Model of a Nonlinear System -- 3.5.2 Application to the NOFRFs Based Fault Diagnosis -- 3.5.3 Application to the OFRFs Based Design of Nonlinear Energy Harvester Systems -- 3.6 Conclusions -- References -- 4 The Convergence of the Volterra Series Representation of Nonlinear Systems -- 4.1 Introduction -- 4.2 The NARX Model in the Frequency Domain: Nonlinear Output Characteristic Spectra (NOCS) Model -- 4.3 The Generalized Output Bound Characteristic Function (GOBCF) Based Convergence Analysis -- 4.3.1 A Sufficient Condition of the Convergence -- 4.3.2 The Determination of the GOBCF -- 4.3.3 Convergence Analysis of the Volterra Series Representation of Nonlinear Systems -- 4.3.4 The Procedure for the New Convergence Analysis -- 4.4 Case Studies -- 4.4.1 Case 1-Unplugged Van der Pol Equation -- 4.4.2 Case 2-Duffing Oscillator with Cubic Damping -- 4.5 Conclusions -- References -- 5 The Effects of Both Linear and Nonlinear Characteristic Parameters on the Output Response of Nonlinear Systems -- 5.1 Introduction -- 5.2 The OFRF Based Design of NARX-M-for-D -- 5.2.1 The OFRF of the NARX-M-for-D -- 5.2.2 The Determination of the OFRF of NARX-M-for-D -- 5.2.3 The OFRF Based Design of Nonlinear Systems -- 5.3 The Associated Output Frequency Response Function (AOFRF) -- 5.3.1 Explicit Relationships Between the GFRFs and the Parameters of the NARX Model -- 5.3.2 Two Special Cases -- 5.3.3 The Concept of the Associated Output Frequency Response Function (AOFRF) -- 5.3.4 The AOFRF in Terms of the System Linear and Nonlinear Characteristic Parameters -- 5.3.5 The AOFRF Based Representation of the Output Frequency Response of Nonlinear Systems -- 5.4 Case Studies -- 5.4.1 Case Study 1-The OFRF Based Design of the Vibration Isolation System.
5.4.2 Case Study 2-The AOFRF Based Representation of the Output Spectrum of a Duffing Nonlinear System -- 5.5 Conclusions -- References -- 6 Nonlinear Damping Based Semi-active Building Isolation System -- 6.1 Introduction -- 6.2 Semi-active Damping System for the Sosokan Building -- 6.2.1 The Sosokan Building and Its Model Representation -- 6.2.2 Semi-active Damping System for the Sosokan Building -- 6.3 Nonlinear Damping Based Semi-active Building Vibration Isolation -- 6.4 Simulation Studies -- 6.4.1 Objectives of Nonlinear Damping Design -- 6.4.2 Effects of Nonlinear Damping Coefficient -- 6.4.3 Effects of Ground Excitation Magnitude -- 6.4.4 Isolation Performance on Higher Floors -- 6.4.5 Isolation Performance in Terms of the Roof Drift -- 6.4.6 Isolation Performance in Terms of Harmonics and a Comparison with the Performance Under LQG Control -- 6.5 Experimental Validation -- 6.6 Conclusions -- References -- 7 Conclusions -- 7.1 Main Contributions of the Present Research -- 7.2 Future Works -- Appendix A Sampling Frequency Independence -- Appendix B Proof of Lemma 5.1.
Record Nr. UNINA-9910484062803321
Zhu Yunpeng  
Cham, Switzerland : , : Springer, , [2021]
Materiale a stampa
Lo trovi qui: Univ. Federico II
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