TY  - BOOK
AU  - Iavernaro, Felice
AU  - Brugnano, Luigi
AB  - 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.
DO  - 10.3390/books978-3-03897-667-7
ID  - OAPEN ID: 33693
KW  - structured matrices
KW  - numerical methods
KW  - time fractional differential equations
KW  - hierarchical splines
KW  - finite difference methods
KW  - null-space
KW  - highly oscillatory problems
KW  - stochastic Volterra integral equations
KW  - displacement rank
KW  - constrained Hamiltonian problems
KW  - hyperbolic partial differential equations
KW  - higher-order finite element methods
KW  - continuous geometric average
KW  - spectral (eigenvalue) and singular value distributions
KW  - generalized locally Toeplitz sequences
KW  - Volterra integro–differential equations
KW  - B-spline
KW  - discontinuous Galerkin methods
KW  - adaptive methods
KW  - Cholesky factorization
KW  - energy-conserving methods
KW  - order
KW  - collocation method
KW  - Poisson problems
KW  - time harmonic Maxwell’s equations and magnetostatic problems
KW  - tree
KW  - multistep methods
KW  - stochastic differential equations
KW  - optimal basis
KW  - finite difference method
KW  - elementary differential
KW  - gradient system
KW  - curl–curl operator
KW  - conservative problems
KW  - line integral methods
KW  - stochastic multistep methods
KW  - Hamiltonian Boundary Value Methods
KW  - limited memory
KW  - boundary element method
KW  - convergence
KW  - analytical solution
KW  - preconditioners
KW  - asymptotic stability
KW  - collocation methods
KW  - histogram specification
KW  - local refinement
KW  - Runge–Kutta
KW  - edge-preserving smoothing
KW  - numerical analysis
KW  - THB-splines
KW  - BS methods
KW  - barrier options
KW  - stump
KW  - shock waves and discontinuities
KW  - mean-square stability
KW  - Volterra integral equations
KW  - high order discontinuous Galerkin finite element schemes
KW  - B-splines
KW  - vectorization and parallelization
KW  - initial value problems
KW  - one-step methods
KW  - scientific computing
KW  - fractional derivative
KW  - linear systems
KW  - Hamiltonian problems
KW  - low rank completion
KW  - ordinary differential equations
KW  - mixed-index problems
KW  - edge-histogram
KW  - Hamiltonian PDEs
KW  - matrix ODEs
KW  - HBVMs
KW  - floating strike Asian options
KW  - Hermite–Obreshkov methods
KW  - generalized Schur algorithm
KW  - Galerkin method
KW  - symplecticity
KW  - high performance computing
KW  - isogeometric analysis
KW  - discretization of systems of differential equations
L1  - https://mdpi.com/books/pdfview/book/1360
LA  - English
LK  - https://directory.doabooks.org/handle/20.500.12854/40207
PB  - MDPI - Multidisciplinary Digital Publishing Institute
PY  - 2019
SN  - 9783038976660
SN  - 9783038976677
TI  - Advanced Numerical Methods in Applied Sciencesnull
ER  - 
