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3D Kinematics / / by Thomas Haslwanter
| 3D Kinematics / / by Thomas Haslwanter |
| Autore | Haslwanter Thomas |
| Edizione | [1st ed. 2018.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 |
| Descrizione fisica | 1 online resource (XV, 191 p. 173 illus., 73 illus. in color.) |
| Disciplina | 629.892 |
| Soggetto topico |
Robotics
Automation Mathematical models Computer simulation Robotics and Automation Mathematical Modeling and Industrial Mathematics Simulation and Modeling |
| ISBN | 3-319-75277-4 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Introduction -- Measurement Techniques -- Rotation Matrices -- Quaternions and Gibbs Vectors -- Velocities in 3D Space -- Recording 3D Movements -- Multi-sensor Integration. |
| Record Nr. | UNINA-9910303435603321 |
Haslwanter Thomas
|
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| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Active Particles, Volume 1 : Advances in Theory, Models, and Applications / / edited by Nicola Bellomo, Pierre Degond, Eitan Tadmor
| Active Particles, Volume 1 : Advances in Theory, Models, and Applications / / edited by Nicola Bellomo, Pierre Degond, Eitan Tadmor |
| Edizione | [1st ed. 2017.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Birkhäuser, , 2017 |
| Descrizione fisica | 1 online resource (X, 402 p. 100 illus., 94 illus. in color.) |
| Disciplina | 570.15118 |
| Collana | Modeling and Simulation in Science, Engineering and Technology |
| Soggetto topico |
Mathematical models
System theory Mathematical physics Control theory Mathematical Modeling and Industrial Mathematics Complex Systems Theoretical, Mathematical and Computational Physics Systems Theory, Control |
| ISBN | 3-319-49996-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Albi, G., Burger, M., Haskovec, J., Markowich, P., Schlottbom, M., Discrete and Continuum Modeling of Biological Network Formation -- Albi, G., Pareschi, L., Toscani, G., Zanella, M., Recent Advances in Opinion Modeling: Control and Social Influence -- Aydoğdu, A., Caponigro, M., McQuade, S., Piccoli, B., Pouradier Duteil, N., Rossi, F., Trélat, E., Interaction Network, State Space, and Control in Social Dynamics -- Benamou, J., Carlier, G., Santambrogio, F., Variational Mean Field Games -- Bongini, M., Fornasier, M., Sparse Control of Multiagent Systems -- Burini, D., Gibelli, L., Outada, N., A Kinetic Theory Approach to the Modeling of Complex Living Systems -- Carrillo, J., Choi, Y., Pérez, S., A Review of Attractive-Repulsive Hydrodynamics for Consensus in Collective Behavior -- Choi, Y., Ha, S., Li, Z., Emergent Dynamics of the Cucker-Smale Flocking Model and its Variants -- Di Francesco, M., Fagioli, S., Rosini, M., Russo, G., Follow-the-Leader Approximations of Macroscopic Models for Vehicular and Pedestrian Flows -- Jabin, P., Wang, Z., Mean Field Limit for Stochastic Particle Systems. |
| Record Nr. | UNINA-9910254303603321 |
| Cham : , : Springer International Publishing : , : Imprint : Birkhäuser, , 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Active Particles, Volume 2 : Advances in Theory, Models, and Applications / / edited by Nicola Bellomo, Pierre Degond, Eitan Tadmor
| Active Particles, Volume 2 : Advances in Theory, Models, and Applications / / edited by Nicola Bellomo, Pierre Degond, Eitan Tadmor |
| Edizione | [1st ed. 2019.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Birkhäuser, , 2019 |
| Descrizione fisica | 1 online resource (279 pages) : illustrations |
| Disciplina | 570.15118 |
| Collana | Modeling and Simulation in Science, Engineering and Technology |
| Soggetto topico |
Mathematical models
System theory Mathematical physics Mathematical Modeling and Industrial Mathematics Complex Systems Theoretical, Mathematical and Computational Physics |
| ISBN | 3-030-20297-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Kinetic and moment models for cell motion in fiber structures -- Kinetic models for pattern formation in animal aggregations: a symmetry and bifurcation approach -- Aggregation-diffusion equations: dynamics, asymptotics, and singular limits -- High-resolution positivity and asymptotic preserving Numerical methods for chemotaxis and related models -- Control strategies for the dynamics of large particle systems -- Kinetic equations and self-organized band formations -- Singular Cucker-Smale dynamics -- A stochastic-statistical residential burglary model with finite size effects. |
| Record Nr. | UNINA-9910349322303321 |
| Cham : , : Springer International Publishing : , : Imprint : Birkhäuser, , 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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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 |
| 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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Active Particles, Volume 4 : Theory, Models, Applications / / edited by José Antonio Carrillo, Eitan Tadmor
| Active Particles, Volume 4 : Theory, Models, Applications / / edited by José Antonio Carrillo, Eitan Tadmor |
| Autore | Carrillo José Antonio |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Birkhäuser, , 2024 |
| Descrizione fisica | 1 online resource (510 pages) |
| Disciplina | 003.3 |
| Altri autori (Persone) | TadmorEitan |
| 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 Matemàtica aplicada Teoria de sistemes Física estadística Mecànica estadística |
| Soggetto genere / forma | Llibres electrònics |
| ISBN |
9783031734236
3031734238 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 1 Consistency of Semi-supervised Learning, Stochastic Tug-of-War Games, and the p-Laplacian -- 2 Discrete Minimizers of the Interaction Energy in Collective Behavior -- 3 Large-Population Limits of Non-Exchangeable Particle Systems -- 4 Models of Animal Behavior as Active Particle Systems with Nonreciprocal Interactions -- 5 Bayesian Sampling Using Interacting Particles -- 6 Aggregation-Diffusion Phenomena -- 7 Conservative Semi-Lagrangian Methods for Kinetic Equations -- 8 Large Population Limit of Interacting Population Dynamics via Generalized Gradient Structures -- 9 Adjoint Monte Carlo Method. |
| Record Nr. | UNINA-9910917794103321 |
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Carrillo José Antonio
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| Cham : , : Springer Nature Switzerland : , : Imprint : Birkhäuser, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Adaptive Systems [[electronic resource] ] : An Introduction / / by Iven Mareels, Jan Willem Polderman
| Adaptive Systems [[electronic resource] ] : An Introduction / / by Iven Mareels, Jan Willem Polderman |
| Autore | Mareels Iven |
| Edizione | [1st ed. 1996.] |
| Pubbl/distr/stampa | Boston, MA : , : Birkhäuser Boston : , : Imprint : Birkhäuser, , 1996 |
| Descrizione fisica | 1 online resource (XVII, 342 p.) |
| Disciplina | 519 |
| Collana | Systems & Control: Foundations & Applications |
| Soggetto topico |
System theory
Mathematical models Probabilities Systems Theory, Control Mathematical Modeling and Industrial Mathematics Probability Theory and Stochastic Processes |
| ISBN | 0-8176-8142-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 1 Adaptive Systems -- 1.1 Introduction -- 1.2 Adaptive systems: examples -- 1.3 General structure of adaptive control systems -- 1.4 Illustrating the concepts -- 1.5 Summary of chapter -- 1.6 Notes and references -- 1.7 Exercises -- 2 Systems And Their Representations -- 2.1 Introduction -- 2.2 Notation -- 2.3 The behavior -- 2.4 Latent variables -- 2.5 Equivalent representations -- 2.6 Controllability -- 2.7 Observability -- 2.8 Stability -- 2.9 Elimination of Latent variables -- 2.10 The ring ?[?,??1] -- 2.11 An example -- 2.12 A word about the notation -- 2.13 Summary of chapter -- 2.14 Notes and references -- 3 Adaptive systems : principles of identification -- 3.1 Introduction -- 3.2 Object of interest and model class -- 3.3 Identification criterion and algorithms -- 3.4 Data model assumptions -- 3.5 Analysis of identification algorithms -- 3.6 Persistency of excitation -- 3.7 Summary of chapter -- 3.8 Notes and references -- 3.9 Exercises -- 4 Adaptive Pole Assignment -- 4.1 Introduction -- 4.2 Preliminaries -- 4.3 The system and its representations -- 4.4 Equilibrium analysis -- 4.5 An algorithm for adaptive pole assignment -- 4.6 Analysis of the algorithm -- 4.7 Filtered signals -- 4.8 Modification of the projection algorithm -- 4.9 Summary of chapter -- 4.10 Notes and references -- 4.11 Exercises -- 5 Direct Adaptive Model Reference Control -- 5.1 Introduction -- 5.2 Basic problem definition -- 5.3 Model reference control: nonadaptive solution -- 5.4 Error model construction -- 5.5 Equilibrium analysis -- 5.6 Adaptive algorithm -- 5.7 Analysis of the adaptive system -- 5.8 Adaptive model reference control with disturbance rejection -- 5.9 Summary of chapter -- 5.10 Notes and references -- 5.11 Exercises -- 6 Universal Controllers -- 6.1 Introduction -- 6.2 Existence of solutions -- 6.3 The first order case -- 6.4 Higher order systems -- 6.5 Mårtensson’s algorithm -- 6.6 Summary of chapter -- 6.7 Notes and references -- 6.8 Exercises -- 7 The pole/zero cancellation problem -- 7.1 Introduction -- 7.2 The pole/zero cancellation problem in adaptive control -- 7.3 Combining direct and indirect adaptive control -- 7.4 Adaptive Excitation -- 7.5 A more fundamental viewpoint -- 7.6 Conclusions -- 7.7 Summary of chapter -- 7.8 Notes and references -- 7.9 Exercises -- 8 Averaging Analysis For Adaptive Systems -- 8.1 Introduction -- 8.2 Averaging -- 8.3 Transforming an adaptive system into standard form -- 8.4 Averaging approximation -- 8.5 Application: the MIT rule for adaptive control -- 8.6 Application: echo cancellation in telephony -- 8.7 Summary of chapter -- 8.8 Notes and references -- 8.9 Exercises -- 9 Dynamics of adaptive systems: A case study -- 9.1 Introduction -- 9.2 The example -- 9.3 Global analysis and bifurcations -- 9.4 Adaptive system behavior: ideal case -- 9.5 Adaptive system behavior: undermodelled case -- 9.6 Discussion -- 9.7 Summary of chapter -- 9.8 Notes and References -- 9.9 Exercises -- Epilogue -- A Background material -- A.1 A contraction result -- A.2 The Comparison Principle -- A.2.1 Bellman-Gronwall Lemma -- A.2.2 Perturbed linear stable systems -- A.3 Miscellaneous stability results -- A.3.1 Stability Definitions -- A.3.2 Some Lyapunov stability results -- A.4 Detectability -- A.5 An inequality for linear systems -- A.6 Finite horizon averaging result -- A.7 Maple code for solving Lyapunov equations -- A.8 Maple code for fixed points and two periodic solutions. |
| Record Nr. | UNINA-9910478902103321 |
|
Mareels Iven
|
||
| Boston, MA : , : Birkhäuser Boston : , : Imprint : Birkhäuser, , 1996 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Adaptive Systems [[electronic resource] ] : An Introduction / / by Iven Mareels, Jan Willem Polderman
| Adaptive Systems [[electronic resource] ] : An Introduction / / by Iven Mareels, Jan Willem Polderman |
| Autore | Mareels Iven |
| Edizione | [1st ed. 1996.] |
| Pubbl/distr/stampa | Boston, MA : , : Birkhäuser Boston : , : Imprint : Birkhäuser, , 1996 |
| Descrizione fisica | 1 online resource (XVII, 342 p.) |
| Disciplina | 519 |
| Collana | Systems & Control: Foundations & Applications |
| Soggetto topico |
System theory
Mathematical models Probabilities Systems Theory, Control Mathematical Modeling and Industrial Mathematics Probability Theory and Stochastic Processes |
| ISBN | 0-8176-8142-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 1 Adaptive Systems -- 1.1 Introduction -- 1.2 Adaptive systems: examples -- 1.3 General structure of adaptive control systems -- 1.4 Illustrating the concepts -- 1.5 Summary of chapter -- 1.6 Notes and references -- 1.7 Exercises -- 2 Systems And Their Representations -- 2.1 Introduction -- 2.2 Notation -- 2.3 The behavior -- 2.4 Latent variables -- 2.5 Equivalent representations -- 2.6 Controllability -- 2.7 Observability -- 2.8 Stability -- 2.9 Elimination of Latent variables -- 2.10 The ring ?[?,??1] -- 2.11 An example -- 2.12 A word about the notation -- 2.13 Summary of chapter -- 2.14 Notes and references -- 3 Adaptive systems : principles of identification -- 3.1 Introduction -- 3.2 Object of interest and model class -- 3.3 Identification criterion and algorithms -- 3.4 Data model assumptions -- 3.5 Analysis of identification algorithms -- 3.6 Persistency of excitation -- 3.7 Summary of chapter -- 3.8 Notes and references -- 3.9 Exercises -- 4 Adaptive Pole Assignment -- 4.1 Introduction -- 4.2 Preliminaries -- 4.3 The system and its representations -- 4.4 Equilibrium analysis -- 4.5 An algorithm for adaptive pole assignment -- 4.6 Analysis of the algorithm -- 4.7 Filtered signals -- 4.8 Modification of the projection algorithm -- 4.9 Summary of chapter -- 4.10 Notes and references -- 4.11 Exercises -- 5 Direct Adaptive Model Reference Control -- 5.1 Introduction -- 5.2 Basic problem definition -- 5.3 Model reference control: nonadaptive solution -- 5.4 Error model construction -- 5.5 Equilibrium analysis -- 5.6 Adaptive algorithm -- 5.7 Analysis of the adaptive system -- 5.8 Adaptive model reference control with disturbance rejection -- 5.9 Summary of chapter -- 5.10 Notes and references -- 5.11 Exercises -- 6 Universal Controllers -- 6.1 Introduction -- 6.2 Existence of solutions -- 6.3 The first order case -- 6.4 Higher order systems -- 6.5 Mårtensson’s algorithm -- 6.6 Summary of chapter -- 6.7 Notes and references -- 6.8 Exercises -- 7 The pole/zero cancellation problem -- 7.1 Introduction -- 7.2 The pole/zero cancellation problem in adaptive control -- 7.3 Combining direct and indirect adaptive control -- 7.4 Adaptive Excitation -- 7.5 A more fundamental viewpoint -- 7.6 Conclusions -- 7.7 Summary of chapter -- 7.8 Notes and references -- 7.9 Exercises -- 8 Averaging Analysis For Adaptive Systems -- 8.1 Introduction -- 8.2 Averaging -- 8.3 Transforming an adaptive system into standard form -- 8.4 Averaging approximation -- 8.5 Application: the MIT rule for adaptive control -- 8.6 Application: echo cancellation in telephony -- 8.7 Summary of chapter -- 8.8 Notes and references -- 8.9 Exercises -- 9 Dynamics of adaptive systems: A case study -- 9.1 Introduction -- 9.2 The example -- 9.3 Global analysis and bifurcations -- 9.4 Adaptive system behavior: ideal case -- 9.5 Adaptive system behavior: undermodelled case -- 9.6 Discussion -- 9.7 Summary of chapter -- 9.8 Notes and References -- 9.9 Exercises -- Epilogue -- A Background material -- A.1 A contraction result -- A.2 The Comparison Principle -- A.2.1 Bellman-Gronwall Lemma -- A.2.2 Perturbed linear stable systems -- A.3 Miscellaneous stability results -- A.3.1 Stability Definitions -- A.3.2 Some Lyapunov stability results -- A.4 Detectability -- A.5 An inequality for linear systems -- A.6 Finite horizon averaging result -- A.7 Maple code for solving Lyapunov equations -- A.8 Maple code for fixed points and two periodic solutions. |
| Record Nr. | UNINA-9910789349103321 |
|
Mareels Iven
|
||
| Boston, MA : , : Birkhäuser Boston : , : Imprint : Birkhäuser, , 1996 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Adaptive Systems : An Introduction / / by Iven Mareels, Jan Willem Polderman
| Adaptive Systems : An Introduction / / by Iven Mareels, Jan Willem Polderman |
| Autore | Mareels Iven |
| Edizione | [1st ed. 1996.] |
| Pubbl/distr/stampa | Boston, MA : , : Birkhäuser Boston : , : Imprint : Birkhäuser, , 1996 |
| Descrizione fisica | 1 online resource (XVII, 342 p.) |
| Disciplina | 519 |
| Collana | Systems & Control: Foundations & Applications |
| Soggetto topico |
System theory
Control theory Mathematical models Probabilities Systems Theory, Control Mathematical Modeling and Industrial Mathematics Probability Theory |
| ISBN | 0-8176-8142-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 1 Adaptive Systems -- 1.1 Introduction -- 1.2 Adaptive systems: examples -- 1.3 General structure of adaptive control systems -- 1.4 Illustrating the concepts -- 1.5 Summary of chapter -- 1.6 Notes and references -- 1.7 Exercises -- 2 Systems And Their Representations -- 2.1 Introduction -- 2.2 Notation -- 2.3 The behavior -- 2.4 Latent variables -- 2.5 Equivalent representations -- 2.6 Controllability -- 2.7 Observability -- 2.8 Stability -- 2.9 Elimination of Latent variables -- 2.10 The ring ?[?,??1] -- 2.11 An example -- 2.12 A word about the notation -- 2.13 Summary of chapter -- 2.14 Notes and references -- 3 Adaptive systems : principles of identification -- 3.1 Introduction -- 3.2 Object of interest and model class -- 3.3 Identification criterion and algorithms -- 3.4 Data model assumptions -- 3.5 Analysis of identification algorithms -- 3.6 Persistency of excitation -- 3.7 Summary of chapter -- 3.8 Notes and references -- 3.9 Exercises -- 4 Adaptive Pole Assignment -- 4.1 Introduction -- 4.2 Preliminaries -- 4.3 The system and its representations -- 4.4 Equilibrium analysis -- 4.5 An algorithm for adaptive pole assignment -- 4.6 Analysis of the algorithm -- 4.7 Filtered signals -- 4.8 Modification of the projection algorithm -- 4.9 Summary of chapter -- 4.10 Notes and references -- 4.11 Exercises -- 5 Direct Adaptive Model Reference Control -- 5.1 Introduction -- 5.2 Basic problem definition -- 5.3 Model reference control: nonadaptive solution -- 5.4 Error model construction -- 5.5 Equilibrium analysis -- 5.6 Adaptive algorithm -- 5.7 Analysis of the adaptive system -- 5.8 Adaptive model reference control with disturbance rejection -- 5.9 Summary of chapter -- 5.10 Notes and references -- 5.11 Exercises -- 6 Universal Controllers -- 6.1 Introduction -- 6.2 Existence of solutions -- 6.3 The first order case -- 6.4Higher order systems -- 6.5 Mårtensson’s algorithm -- 6.6 Summary of chapter -- 6.7 Notes and references -- 6.8 Exercises -- 7 The pole/zero cancellation problem -- 7.1 Introduction -- 7.2 The pole/zero cancellation problem in adaptive control -- 7.3 Combining direct and indirect adaptive control -- 7.4 Adaptive Excitation -- 7.5 A more fundamental viewpoint -- 7.6 Conclusions -- 7.7 Summary of chapter -- 7.8 Notes and references -- 7.9 Exercises -- 8 Averaging Analysis For Adaptive Systems -- 8.1 Introduction -- 8.2 Averaging -- 8.3 Transforming an adaptive system into standard form -- 8.4 Averaging approximation -- 8.5 Application: the MIT rule for adaptive control -- 8.6 Application: echo cancellation in telephony -- 8.7 Summary of chapter -- 8.8 Notes and references -- 8.9 Exercises -- 9 Dynamics of adaptive systems: A case study -- 9.1 Introduction -- 9.2 The example -- 9.3 Global analysis and bifurcations -- 9.4 Adaptive system behavior: ideal case -- 9.5 Adaptive system behavior: undermodelled case -- 9.6 Discussion -- 9.7 Summary of chapter -- 9.8 Notes and References -- 9.9 Exercises -- Epilogue -- A Background material -- A.1 A contraction result -- A.2 The Comparison Principle -- A.2.1 Bellman-Gronwall Lemma -- A.2.2 Perturbed linear stable systems -- A.3 Miscellaneous stability results -- A.3.1 Stability Definitions -- A.3.2 Some Lyapunov stability results -- A.4 Detectability -- A.5 An inequality for linear systems -- A.6 Finite horizon averaging result -- A.7 Maple code for solving Lyapunov equations -- A.8 Maple code for fixed points and two periodic solutions. |
| Record Nr. | UNINA-9910960440903321 |
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Mareels Iven
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| Boston, MA : , : Birkhäuser Boston : , : Imprint : Birkhäuser, , 1996 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
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 |
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Kilgour D. Marc
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| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Advanced Analytics in Mining Engineering : Leverage Advanced Analytics in Mining Industry to Make Better Business Decisions / / edited by Ali Soofastaei
| Advanced Analytics in Mining Engineering : Leverage Advanced Analytics in Mining Industry to Make Better Business Decisions / / edited by Ali Soofastaei |
| Edizione | [1st ed. 2022.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022 |
| Descrizione fisica | 1 online resource (XIII, 747 p. 337 illus., 215 illus. in color. :) : online resource |
| Disciplina |
622.028
622.0285 |
| Soggetto topico |
Operations research
Management science Data mining Industrial engineering Production engineering Mathematical models Computer science Operations Research, Management Science Data Mining and Knowledge Discovery Industrial and Production Engineering Mathematical Modeling and Industrial Mathematics Computer Science |
| ISBN |
9783030915896
3030915891 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Advanced analytics for mining industry.-Advanced analytics for modern mining.-Advanced analytics for ethical considerations in mining industry -- Advanced analytics for mining method selection -- Advanced analytics for valuation of mine prospects and mining projects -- Advanced analytics for mine exploration.-Advanced analytics for surface mining -- Advanced analytics for surface extraction -- Advanced analytics for surface mines planning -- Advanced analytics for dynamic programming -- Advanced analytics for drilling and blasting -- Advanced analytics for rock fragmentation -- Advanced analytics for rock blasting and explosives engineering in mining -- Advanced analytics for rock breaking -- Advanced analytics for mineral processing -- Advanced analytics for decreasing greenhouse gas emissions in surface mines -- Advanced analytics for Haul Trucks energy-efficiency improvement in surface mines -- Advanced analytics for mine materials handling -- Advanced analytics for mine materials transportation -- Advanced analytics for energy-efficiency improvement in mine-railway operation -- Advanced analytics for hard rock violent failure in underground excavations -- Advanced analytics for heat stress management in underground mines -- Advanced analytics for autonomous underground mining -- Advanced analytics for spatial variability of rock mass properties in underground mines. |
| Record Nr. | UNINA-9910548170803321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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