Advanced Numerical Methods in Applied Sciences

• Autore: Iavernaro Felice
• Pubblicazione: 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
• Persona (resp. second.): BrugnanoLuigi
• Sommario/riassunto: The use of scientific computing tools is currently customary for solving problems at several complexity levels in Applied Sciences. The great need for reliable software in the scientific community conveys a continuous stimulus to develop new and better performing numerical methods that are able to grasp the particular features of the problem at hand. This has been the case for many different settings of numerical analysis, and this Special Issue aims at covering some important developments in various areas of application.
• Titolo autorizzato: Advanced Numerical Methods in Applied Sciences
• ISBN: 3-03897-667-9
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910346690203321
• Lo trovi qui: Univ. Federico II