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Advanced Numerical Methods in Applied Sciences
| Advanced Numerical Methods in Applied Sciences |
| Autore | Iavernaro Felice |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (306 p.) |
| Soggetto non controllato |
structured matrices
numerical methods time fractional differential equations hierarchical splines finite difference methods null-space highly oscillatory problems stochastic Volterra integral equations displacement rank constrained Hamiltonian problems hyperbolic partial differential equations higher-order finite element methods continuous geometric average spectral (eigenvalue) and singular value distributions generalized locally Toeplitz sequences Volterra integro–differential equations B-spline discontinuous Galerkin methods adaptive methods Cholesky factorization energy-conserving methods order collocation method Poisson problems time harmonic Maxwell’s equations and magnetostatic problems tree multistep methods stochastic differential equations optimal basis finite difference method elementary differential gradient system curl–curl operator conservative problems line integral methods stochastic multistep methods Hamiltonian Boundary Value Methods limited memory boundary element method convergence analytical solution preconditioners asymptotic stability collocation methods histogram specification local refinement Runge–Kutta edge-preserving smoothing numerical analysis THB-splines BS methods barrier options stump shock waves and discontinuities mean-square stability Volterra integral equations high order discontinuous Galerkin finite element schemes B-splines vectorization and parallelization initial value problems one-step methods scientific computing fractional derivative linear systems Hamiltonian problems low rank completion ordinary differential equations mixed-index problems edge-histogram Hamiltonian PDEs matrix ODEs HBVMs floating strike Asian options Hermite–Obreshkov methods generalized Schur algorithm Galerkin method symplecticity high performance computing isogeometric analysis discretization of systems of differential equations |
| ISBN | 3-03897-667-9 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910346690203321 |
Iavernaro Felice
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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Mathematical Modeling of the Human Brain : From Magnetic Resonance Images to Finite Element Simulation / Kent-André Mardal, Marie E. Rognes, Travis B. Thompson, Lars Magnus Valnes
| Mathematical Modeling of the Human Brain : From Magnetic Resonance Images to Finite Element Simulation / Kent-André Mardal, Marie E. Rognes, Travis B. Thompson, Lars Magnus Valnes |
| Autore | Mardal Kent-André |
| Edizione | [1st edition.] |
| Pubbl/distr/stampa | Cham, : Springer Nature, 2022 |
| Descrizione fisica | 1 online resource (129 pages) : (XVI, 118 p. 32 illus., 25 illus. in color. :) |
| Altri autori (Persone) |
RognesMarie E
ThompsonTravis B ValnesLars Magnus |
| Collana | Simula SpringerBriefs on Computing |
| Soggetto topico |
Human physiology
Biomathematics Mathematical models Cervell Imatges per ressonància magnètica Models matemàtics |
| Soggetto genere / forma | Llibres electrònics |
| Soggetto non controllato |
magnetic resonance imaging
Mesh generation mathematical modeling finite element methods scientific computing |
| ISBN | 3-030-95136-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Introduction --Working with magnetic resonance images of the brain --From T1 images to numerical simulation --Introducing heterogeneities --Introducing directionality with diffusion tensors --Simulating anisotropic diffusion in heterogeneous brain regions --Concluding remarks and outlook --References --Index. |
| Record Nr. | UNINA-9910548277003321 |
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Mardal Kent-André
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| Cham, : Springer Nature, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Mathematical Modeling of the Human Brain : From Magnetic Resonance Images to Finite Element Simulation / Kent-André Mardal, Marie E. Rognes, Travis B. Thompson, Lars Magnus Valnes
| Mathematical Modeling of the Human Brain : From Magnetic Resonance Images to Finite Element Simulation / Kent-André Mardal, Marie E. Rognes, Travis B. Thompson, Lars Magnus Valnes |
| Autore | Mardal Kent-André |
| Edizione | [1st edition.] |
| Pubbl/distr/stampa | Cham, : Springer Nature, 2022 |
| Descrizione fisica | 1 online resource (129 pages) : (XVI, 118 p. 32 illus., 25 illus. in color. :) |
| Altri autori (Persone) |
RognesMarie E
ThompsonTravis B ValnesLars Magnus |
| Collana | Simula SpringerBriefs on Computing |
| Soggetto topico |
Human physiology
Biomathematics Mathematical models Cervell Imatges per ressonància magnètica Models matemàtics |
| Soggetto genere / forma | Llibres electrònics |
| Soggetto non controllato |
magnetic resonance imaging
Mesh generation mathematical modeling finite element methods scientific computing |
| ISBN | 3-030-95136-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Introduction --Working with magnetic resonance images of the brain --From T1 images to numerical simulation --Introducing heterogeneities --Introducing directionality with diffusion tensors --Simulating anisotropic diffusion in heterogeneous brain regions --Concluding remarks and outlook --References --Index. |
| Record Nr. | UNISA-996466419203316 |
|
Mardal Kent-André
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| Cham, : Springer Nature, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
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. | UNINA-9910424947903321 |
|
Tveito Aslak
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| Springer Nature, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
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 |
|
Tveito Aslak
|
||
| Springer Nature, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||