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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 Computer mathematics
Computational Mathematics and Numerical Analysis
ISBN 3-030-23788-5
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  
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
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  
Springer Nature, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
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
Opac: Controlla la disponibilità qui
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
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
Opac: Controlla la disponibilità qui