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Uncertainty Quantification : An Accelerated Course with Advanced Applications in Computational Engineering / / by Christian Soize
Uncertainty Quantification : An Accelerated Course with Advanced Applications in Computational Engineering / / by Christian Soize
Autore Soize Christian
Edizione [1st ed. 2017.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017
Descrizione fisica 1 online resource (XXII, 329 p. 110 illus., 86 illus. in color.)
Disciplina 519.2
Collana Interdisciplinary Applied Mathematics
Soggetto topico Computer mathematics
Applied mathematics
Engineering mathematics
Probabilities
Computational Science and Engineering
Mathematical and Computational Engineering
Probability Theory and Stochastic Processes
ISBN 3-319-54339-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Fundamental Notions in Stochastic Modeling of Uncertainties and their Propagation in Computational Models -- Elements of Probability Theory -- Markov Process and Stochastic Differential Equation -- MCMC Methods for Generating Realizations and for Estimating the Mathematical Expectation of Nonlinear Mappings of Random Vectors -- Fundamental Probabilistic Tools for Stochastic Modeling of Uncertainties -- Brief Overview of Stochastic Solvers for the Propagation of Uncertainties -- Fundamental Tools for Statistical Inverse Problems -- Uncertainty Quantification in Computational Structural Dynamics and Vibroacoustics -- Robust Analysis with Respect to the Uncertainties for Analysis, Updating, Optimization, and Design -- Random Fields and Uncertainty Quantification in Solid Mechanics of Continuum Media.
Record Nr. UNINA-9910254309203321
Soize Christian  
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Uncertainty Quantification and Predictive Computational Science : A Foundation for Physical Scientists and Engineers / / by Ryan G. McClarren
Uncertainty Quantification and Predictive Computational Science : A Foundation for Physical Scientists and Engineers / / by Ryan G. McClarren
Autore McClarren Ryan G
Edizione [1st ed. 2018.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018
Descrizione fisica 1 online resource (XVII, 345 p. 141 illus., 99 illus. in color.)
Disciplina 003.54
Soggetto topico Physics
Computer mathematics
Statistics 
Applied mathematics
Engineering mathematics
Mathematical physics
Computer simulation
Numerical and Computational Physics, Simulation
Computational Science and Engineering
Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences
Mathematical and Computational Engineering
Mathematical Applications in the Physical Sciences
Simulation and Modeling
ISBN 3-319-99525-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Part I Fundamentals -- Introduction -- Probability and Statistics Preliminaries -- Input Parameter Distributions -- Part II Local Sensitivity Analysis -- Derivative Approximations -- Regression Approximations -- Adjoint-based Local Sensitivity Analysis -- Part III Parametric Uncertainty Quantification -- From Sensitivity Analysis to UQ -- Sampling-Based UQ -- Reliability Methods -- Polynomial Chaos Methods -- Part IV Predictive Science -- Emulators and Surrogate Models -- Reduced Order Models -- Predictive Models -- Epistemic Uncertainties -- Appendices -- A. A cookbook of distributions.
Record Nr. UNINA-9910300530103321
McClarren Ryan G  
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Unified Lagrangian Formulation for Fluid and Solid Mechanics, Fluid-Structure Interaction and Coupled Thermal Problems Using the PFEM / / by Alessandro Franci
Unified Lagrangian Formulation for Fluid and Solid Mechanics, Fluid-Structure Interaction and Coupled Thermal Problems Using the PFEM / / by Alessandro Franci
Autore Franci Alessandro
Edizione [1st ed. 2017.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017
Descrizione fisica 1 online resource (XIX, 211 p. 168 illus., 147 illus. in color.)
Disciplina 624.171
Collana Springer Theses, Recognizing Outstanding Ph.D. Research
Soggetto topico Mechanics
Mechanics, Applied
Computer mathematics
Fluid mechanics
Solid Mechanics
Computational Science and Engineering
Engineering Fluid Dynamics
ISBN 9783319456621
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto 1 Introduction -- 1.1 Objectives -- 1.2 State of the art -- 1.2.1 Eulerian and Lagrangian approaches for free surface flow analysis -- 1.2.2 Stabilization techniques -- 1.2.3 Algorithms for FSI problems -- 1.3 Numerical model -- 1.3.1 Reasons -- 1.3.2 Essential features -- 1.3.3 Outline -- 1.4 Publications -- 2 Velocity-based formulations for compressible materials -- 2.1 Velocity formulation -- 2.1.1 From the local form to the spatial semi-discretization -- 2.1.2 Time integration -- 2.1.3 Linearization -- 2.1.4 Incremental solution scheme -- 2.2 Mixed velocity-pressure formulation -- 2.2.1 Quasi-incompressible form of the continuity equation -- 2.2.2 Solution method -- 2.3 Hypoelasticity -- 2.3.1 Velocity formulation for hypoelastic solids -- 2.3.2 Mixed Velocity-Pressure formulation for hypoelastic solids -- 2.3.3 Theory of plasticity -- 2.3.3.1 Hypoelastic-plastic materials -- 2.3.4 Validation examples -- 2.4 Summary and conclusions -- 3 Unified stabilized formulation for quasi-incompressible materials -- 3.1 Stabilized FIC form of the mass balance equation -- 3.1.1 Governing equations -- 3.1.2 FIC mass balance equation in space and in time -- 3.1.3 FIC stabilized local form of the mass balance equation -- 3.1.4 Variational form -- 3.1.5 FEM discretization and matrix form -- 3.2 Solution scheme for quasi-incompressible Newtonian fluids -- 3.2.1 Governing equations -- 3.2.2 Solution scheme -- 3.3 Solution scheme for quasi-incompressible hypoelastic solids -- 3.4 Free surface flow analysis -- 3.4.1 The Partiele Finite Element Method -- 3.4.1.1 Remeshing -- 3.4.1.2 Basic steps -- 3.4.1.3 Advantages and disadvantages -- 3.4.2 Mass conservation analysis -- 3.4.2.1 Numerical examples -- 3.4.3 Analysis of the conditioning of the solution scheme -- 3.4.3.1 Drawbacks associated to the real bulk modulus -- 3.4.3.2 Optimum value for the pseudo bulk modulus -- 3.4.3.3 Numerical examples -- 3.5 Validation examples -- 3.5.1 Validation of the Unified formulation for Newtonian fluids -- 3.5.2 Validation of the Unified formulation for quasi-incompressible hypoelastic solids -- 3.6 Summary and conclusions -- 4 Unified formulation for F SI problems -- 4.1 Introduction -- 4.2 FSI algorithm -- 4.3 Coupling with the Velocity formulation for the solid -- 4.4 Coupling with the mixed Velocity-Pressure formulation for the solid -- 4.5 Numerical examples -- 4.6 Summary and conclusions -- 5 Coupled thermal-mechanical formulation -- 5.1 Introduction -- 5.2 Heat problem -- 5.2.1 FEM discretization and solution for a time step -- 5.3 Thermal coupling -- 5.3.1 Numerical examples -- 5.4 Phase change -- 5.4.1 Numerical example: melting of an ice block -- 5.5 Summary and conclusions -- 6 Industrial application: PFEM Analysis Model of NPP Severe Accident -- 6.1 Introduction -- 6.1.1 Assumptions allowed by the specification -- 6.2 Numerical method -- 6.3 Basic Model -- 6.3.1 Problem data -- 6.3.2 Preliminary study -- 6.3.3 Numerical results -- 6.4 Detailed model -- 6.4.1 Problem data -- 6.4.2 Preliminary study -- 6.4.3 Numerical results -- 6.5 Summary and conclusions -- 7 Conclusions and future lines of research -- 7.1 Contributions -- 7.2 Lines for future work.
Record Nr. UNINA-9910254353903321
Franci Alessandro  
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Verifying Calculations - Forty Years On : An Overview of Classical Verification Techniques for FEM Simulations / / edited by Ludovic Chamoin, Pedro Díez
Verifying Calculations - Forty Years On : An Overview of Classical Verification Techniques for FEM Simulations / / edited by Ludovic Chamoin, Pedro Díez
Edizione [1st ed. 2016.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016
Descrizione fisica 1 online resource (101 p.)
Disciplina 620
Collana SpringerBriefs in Applied Sciences and Technology
Soggetto topico Mechanics
Mechanics, Applied
Computer simulation
Computer mathematics
Theoretical and Applied Mechanics
Simulation and Modeling
Computational Science and Engineering
ISBN 3-319-20553-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Preface, by Ludovic Chamoin and Pedro Díez -- Explicit Residual Methods, by Yvon Maday -- Residual type error estimators, by Antonio Huerta and Pedro Díez -- Fundaments of recovery-based error estimation and bounding, by E. Nadal and J.J. Ródenas -- The Constitutive Relation Error Method: a general verification tool, by Pierre Ladevèze and Ludovic Chamoin.
Record Nr. UNINA-9910254197603321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016
Materiale a stampa
Lo trovi qui: Univ. Federico II
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VipIMAGE 2017 : Proceedings of the VI ECCOMAS Thematic Conference on Computational Vision and Medical Image Processing Porto, Portugal, October 18-20, 2017 / / edited by João Manuel R.S. Tavares, R.M. Natal Jorge
VipIMAGE 2017 : Proceedings of the VI ECCOMAS Thematic Conference on Computational Vision and Medical Image Processing Porto, Portugal, October 18-20, 2017 / / edited by João Manuel R.S. Tavares, R.M. Natal Jorge
Edizione [1st ed. 2018.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018
Descrizione fisica 1 online resource (XXIX, 1160 p. 631 illus.)
Disciplina 621.382
Collana Lecture Notes in Computational Vision and Biomechanics
Soggetto topico Signal processing
Image processing
Speech processing systems
Optical data processing
Computer mathematics
Computer simulation
Signal, Image and Speech Processing
Image Processing and Computer Vision
Computational Science and Engineering
Simulation and Modeling
ISBN 3-319-68195-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto 3D Vision -- Computational Bio- Imaging and Visualization -- Computational Vision -- Computer Aided Diagnosis, Surgery, Therapy and Treatment -- Data Interpolation, Registration, Acquisition and Compression -- Industrial Inspection -- Image Enhancement -- Image Processing and Analysis -- Image Segmentation -- Medical Imaging -- Medical Rehabilitation -- Physics of Medical Imaging -- Shape Reconstruction --  Signal Processing -- Simulation and Modelling -- Software Development for Image Processing and Analysis -- Telemedicine Systems and their Applications -- Tracking and Analysis of Movement and Deformation -- Virtual Reality.
Record Nr. UNINA-9910299871903321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Visualization and Processing of Higher Order Descriptors for Multi-Valued Data / / edited by Ingrid Hotz, Thomas Schultz
Visualization and Processing of Higher Order Descriptors for Multi-Valued Data / / edited by Ingrid Hotz, Thomas Schultz
Edizione [1st ed. 2015.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015
Descrizione fisica 1 online resource
Disciplina 515.63
Collana Mathematics and Visualization
Soggetto topico Mathematics
Visualization
Matrix theory
Algebra
Computer mathematics
Optical data processing
Linear and Multilinear Algebras, Matrix Theory
Computational Science and Engineering
Image Processing and Computer Vision
ISBN 3-319-15090-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Part I: Mathematical Foundations: 1 Cem Yolcu and Evren Özarslan: Diffusion-Weighted Magnetic Resonance Signal for General Gradient Waveforms: Multiple Correlation Function Framework, Path Integrals, and Parallels Between Them -- 2 T.C.J. Dela Haije, A. Fuster and L.M.J. Florack: Finslerian Diffusion and the Bloch-Torrey Equation -- 3 M. Moakher and P. J. Basser: Fiber Orientation Distribution Functions and Orientation Tensors for Different Material Symmetries -- 4 Yue Zhang, Jonathan Palacios and Eugene Zhang: Topology of 3D Linear Symmetric Tensor Fields -- 5 Carmeliza Navasca and Deonnia N. Pompey: Random Projections for Low Multilinear Rank Tensors -- Part II: Processing, Filtering and Interpolation: 6 Jasper J. van de Gronde, Mikola Lysenko and Jos B.T.M. Roerdink: Path-Based Mathematical Morphology on Tensor Fields -- 7 Andreas Kleefeld and Bernhard Burgeth: Processing Multispectral Images via Mathematical Morphology -- 8 Luc Florack, Tom Dela Haije and Andrea Fuster: Direction-Controlled DTI Interpolation -- 9 Daniel Jörgens and Rodrigo Moreno: Tensor Voting: Current State, Challenges and New Trends in the Context of Medical Image Analysis -- Part III: Visualization: 10 Olivier Vaillancourt, Maxime Chamberland, Jean-Christophe Houde and Maxime Descoteaux: Visualization of Diffusion Propagator and Multiple Parameter Diffusion Signal -- 11 Sujal Bista, Jiachen Zhuo, Rao P. Gullapalli and Amitabh Varshney: Visual Knowledge Discovery for Diffusion Kurtosis Datasets of the Human Brain -- 12 Tobias Isenberg: A Survey of Illustrative Visualization Techniques for Diffusion-Weighted MRI Tractography -- 13 Valentin Zobel, Jan Reininghaus and Ingrid Hotz: Visualizing Symmetric Indefinite 2D Tensor Fields sing the Heat Kernel Signature -- Part IV: Statistical Analysis: 14 Maxime Taquet, Benoit Scherrer and Simon K. Warfield: A Framework for the Analysis of Diffusion Compartment Imaging (DCT) -- 15 Lauren J. O’Donnell and Thomas Schultz: Statistical and Machine Learning Methods for Neuroimaging: Examples, Challenges, and Extensions to Diffusion Imaging Data -- Part V: Applications: 16 A. aries, T. Luciani, P.H. Pisciuneri, M.B. Nik, S.L. Yilmaz, P. Givi and G.E. Marai A Clustering Method for Identifying Regions of Interest in Turbulent Combustion Tensor Fields -- 17 Mark Schöneich, Andrea Kratz, Valentin Zobel, Gerik Scheuermann, Markus Stommel, and Ingrid Hotz: Tensor Lines in Engineering – Success, Failure, and Open Questions -- 18 Vesna Prchkovska, Magí Andorrà , Pablo Villoslada, Eloy Martinez-Heras, Remco Duits, David Fortin, Paulo Rodrigues and Maxime Descoteaux: Contextual Diffusion Image Post-Processing Aids Clinical Applications.
Record Nr. UNINA-9910299785503321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Wind Turbine Aerodynamic Performance Calculation [[electronic resource] /] / by Tongguang Wang, Wei Zhong, Yaoru Qian, Chengyong Zhu
Wind Turbine Aerodynamic Performance Calculation [[electronic resource] /] / by Tongguang Wang, Wei Zhong, Yaoru Qian, Chengyong Zhu
Autore Wang Tongguang
Edizione [1st ed. 2023.]
Pubbl/distr/stampa Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023
Descrizione fisica 1 online resource (241 pages)
Disciplina 621.45
Altri autori (Persone) ZhongWei
QianYaoru
ZhuChengyong
Soggetto topico Wind power
Mechanics
Fluid mechanics
Mathematical physics
Computer simulation
Mathematics - Data processing
Wind Energy
Classical Mechanics
Engineering Fluid Dynamics
Computational Physics and Simulations
Computational Science and Engineering
ISBN 981-9935-09-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Part 1: Fundamental aerodynamics of wind turbines -- 1 Physical properties of air -- 2 Fundamental aerodynamics -- 3 Basic knowledge of airfoil -- Part 2: Blade element momentum method -- 4 Classical Blade element momentum method -- 5 Correction models -- 6 Unsteady blade element momentum method -- Part 3: Vortex wake Method -- 7 Fundamental theory of vortex -- 8 Vortex wake model -- 9 Performance of wind turbine -- Part 4: Computational Fluid Dynamics Method -- 10 Foundation of Computational Fluid Dynamics -- 11 Numerical simulation of wind turbine aerodynamic performance -- 12 Large-eddy simulation and detached-eddy simulation of wind turbine aerodynamics.
Record Nr. UNINA-9910763590503321
Wang Tongguang  
Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023
Materiale a stampa
Lo trovi qui: Univ. Federico II
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World of Computing : A Primer Companion for the Digital Age / / by Gerard O'Regan
World of Computing : A Primer Companion for the Digital Age / / by Gerard O'Regan
Autore O'Regan Gerard
Edizione [1st ed. 2018.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018
Descrizione fisica 1 online resource (331 pages) : illustrations
Disciplina 004
Soggetto topico Computer science
Computers and civilization
Technology - History
Computer mathematics
Popular Computer Science
Computers and Society
History of Technology
Computational Science and Engineering
ISBN 3-319-75844-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto What is a Computer? -- Foundations of Computing -- A Concise History of Computing -- Overview Mathematics in Computing -- Introduction to Algorithms -- A Concise Introduction to Logic -- Human Computer Interaction -- Introduction to Programming Languages -- Overview of Software Engineering -- Overview of Operating Systems -- Overview of Databases -- Overview of Telecommunications -- The Internet and World Wide Web -- The Smartphone and Social Media -- Legal Aspects of Computing -- Ethics and Professional Responsibility -- Innovation in the Computing Field -- Epilogue.
Record Nr. UNINA-9910299276303321
O'Regan Gerard  
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018
Materiale a stampa
Lo trovi qui: Univ. Federico II
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