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Introduction to Numerical Methods for Variational Problems / / by Hans Petter Langtangen, Kent-Andre Mardal
| Introduction to Numerical Methods for Variational Problems / / by Hans Petter Langtangen, Kent-Andre Mardal |
| Autore | Langtangen Hans Petter |
| Edizione | [1st ed. 2019.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
| Descrizione fisica | 1 online resource (XVI, 395 p. 88 illus., 76 illus. in color.) |
| Disciplina | 515.64 |
| Collana | Texts in Computational Science and Engineering |
| Soggetto topico |
Mathematics - Data processing
Computational Mathematics and Numerical Analysis |
| ISBN |
9783030237882
3030237885 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Preface -- Quick overview of the finite element method -- Function approximation by global functions -- Function approximation by finite elements -- Variational formulations with global elements -- Variational formulations with finite elements -- Time-dependent variational forms -- Variational forms for systems of PDEs -- Nonlinear Problems -- Variational forms for linear systems -- Useful formulas. |
| Record Nr. | UNINA-9910349318903321 |
Langtangen Hans Petter
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| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Mathematical Modelling of the Human Brain II : From Glymphatics to Deep Learning / / edited by Jørgen S. Dokken, Kent-Andre Mardal, Marie E. Rognes, Lars Magnus Valnes, Vegard Vinje
| Mathematical Modelling of the Human Brain II : From Glymphatics to Deep Learning / / edited by Jørgen S. Dokken, Kent-Andre Mardal, Marie E. Rognes, Lars Magnus Valnes, Vegard Vinje |
| Edizione | [1st ed. 2026.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2026 |
| Descrizione fisica | 1 online resource (XIII, 150 p. 50 illus., 44 illus. in color.) |
| Disciplina | 518 |
| Collana | Simula SpringerBriefs on Computing |
| Soggetto topico |
Mathematics - Data processing
Neural networks (Computer science) Biomathematics Computational neuroscience Nervous system - Surgery Mathematical physics Computer simulation Computational Mathematics and Numerical Analysis Mathematical Models of Cognitive Processes and Neural Networks Mathematical and Computational Biology Computational Neuroscience Neurosurgery Computational Physics and Simulations |
| ISBN |
3-032-00679-1
9783032006790 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 1 From brain physiology to brain physics -- 2 Meshing the intracranial compartments: Cerebellum, cerebrum, brainstem and cerebrospinal fluid -- 3 Segmenting, meshing and modeling CSF spaces -- 4 The pulsating brain: An interface-coupled fluid-poroelasticinteraction model of the cranial cavity -- 5 Quantifying cerebrospinal fluid tracer concentration in the brain -- 6 Signal increase ratio prediction with CNNs -- 7 Estimating molecular transport parameters using inverse PDEmodels -- 8 Two-compartment modeling of tracer transport in the brain -- 9 An introduction to identifying velocity fields from contrast imaging via PDE-constrained optimization. 10 An introduction to network models of neurodegenerative diseases. |
| Record Nr. | UNINA-9911046524903321 |
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2026 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Modeling excitable tissue : the EMI framework / / editors, Aslak Tveito, Kent-Andre Mardal, Marie E. Rognes
| Modeling excitable tissue : the EMI framework / / editors, Aslak Tveito, Kent-Andre Mardal, Marie E. Rognes |
| Autore | Tveito Aslak |
| Edizione | [1st edition 2021.] |
| Pubbl/distr/stampa | Springer Nature, 2021 |
| Descrizione fisica | 1 online resource (XVII, 100 p. 25 illus. in color.) |
| Disciplina | 570.285 |
| Collana | Reports on Computational Physiology |
| Soggetto topico |
Bioinformatics
Cell physiology Computational biology Excitation (Physiology) - Mathematical models Mathematical models |
| Soggetto non controllato |
Mathematical and Computational Biology
Applications of Mathematics Mathematical Modeling and Industrial Mathematics applied mathematics scientific computing computational physiology finite element methods cardiac modelling biomechanics numerical methods preconditioning open access Maths for scientists Mathematical modelling Maths for engineers |
| ISBN | 3-030-61157-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Derivation of a cell-based mathematical model of excitable cells -- A cell-based model for ionic electrodiffusion in excitable tissue -- Modeling cardiac mechanics on a subcellular scale -- Operator splitting and finite difference schemes for solving the EMI model -- Solving the EMI equations using finite element methods -- Iterative solvers for EMI models -- Improving neural simulations with the EMI model -- Index. |
| Record Nr. | UNISA-996466563303316 |
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Tveito Aslak
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| Springer Nature, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Modeling Excitable Tissue : The EMI Framework / / edited by Aslak Tveito, Kent-Andre Mardal, Marie E. Rognes
| Modeling Excitable Tissue : The EMI Framework / / edited by Aslak Tveito, Kent-Andre Mardal, Marie E. Rognes |
| Autore | Tveito Aslak |
| Edizione | [1st ed. 2021.] |
| Pubbl/distr/stampa | Springer Nature, 2021 |
| Descrizione fisica | 1 online resource (XVII, 100 p. 25 illus. in color.) |
| Disciplina | 570.285 |
| Collana | Reports on Computational Physiology |
| Soggetto topico |
Biomathematics
Mathematics Mathematical models Mathematical and Computational Biology Applications of Mathematics Mathematical Modeling and Industrial Mathematics |
| ISBN | 3-030-61157-4 |
| Classificazione | MAT003000 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Derivation of a cell-based mathematical model of excitable cells -- A cell-based model for ionic electrodiffusion in excitable tissue -- Modeling cardiac mechanics on a subcellular scale -- Operator splitting and finite difference schemes for solving the EMI model -- Solving the EMI equations using finite element methods -- Iterative solvers for EMI models -- Improving neural simulations with the EMI model -- Index. |
| Record Nr. | UNINA-9910424947903321 |
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Tveito Aslak
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| Springer Nature, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Quantitative Approaches to Microcirculation : Mathematical Models, Computational Methods and Data Analysis / / edited by Andreas Linninger, Kent-Andre Mardal, Paolo Zunino
| Quantitative Approaches to Microcirculation : Mathematical Models, Computational Methods and Data Analysis / / edited by Andreas Linninger, Kent-Andre Mardal, Paolo Zunino |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (0 pages) |
| Disciplina | 612.13 |
| Collana | SEMA SIMAI Springer Series |
| Soggetto topico |
Mathematical models
Mathematics - Data processing Mathematics Mathematical Modeling and Industrial Mathematics Computational Mathematics and Numerical Analysis Applications of Mathematics Mètodes de simulació Microcirculació Models matemàtics |
| Soggetto genere / forma | Llibres electrònics |
| ISBN | 3-031-58519-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | - Mathematical Models of the Cerebral Microcirculation in Health and Pathophysiology -- A computational model of the tumor microenvironment applied to fractionated radiotherapy -- Microvascular modeling for medical imaging and toxicity assessment -- Finite element software and performance for network models with multipliers -- A Fast-Fourier Preconditioned Schur Complement Method for the Simulation of Cerebrocortical Oxygen Supply -- Robust Preconditioning of Mixed-Dimensional PDEs on 3𝒅-1𝒅 domains coupled with Lagrange Multipliers -- Numerical approaches for multiphase microfluids -- Application of the Zenger correction to an elliptic PDE with Dirac source term. |
| Record Nr. | UNINA-9910874675503321 |
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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