Advanced Numerical Methods in Applied Sciences

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Advanced Numerical Methods in Applied Sciences

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 g...

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Iavernaro, Felice
Brugnano, Luigi
Year of Publication:2019
Language:English
Physical Description:1 electronic resource (306 p.)
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ctrlnum (CKB)4920000000094767
(oapen)https://directory.doabooks.org/handle/20.500.12854/40207
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collection bib_alma
record_format marc
spelling Iavernaro, Felice auth
Advanced Numerical Methods in Applied Sciences
MDPI - Multidisciplinary Digital Publishing Institute 2019
1 electronic resource (306 p.)
text txt rdacontent
computer c rdamedia
online resource cr rdacarrier
Open access Unrestricted online access star
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.
English
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
3-03897-666-0
Brugnano, Luigi auth
language English
format eBook
author Iavernaro, Felice
spellingShingle Iavernaro, Felice
Advanced Numerical Methods in Applied Sciences
author_facet Iavernaro, Felice
Brugnano, Luigi
author_variant f i fi
author2 Brugnano, Luigi
author2_variant l b lb
author_sort Iavernaro, Felice
title Advanced Numerical Methods in Applied Sciences
title_full Advanced Numerical Methods in Applied Sciences
title_fullStr Advanced Numerical Methods in Applied Sciences
title_full_unstemmed Advanced Numerical Methods in Applied Sciences
title_auth Advanced Numerical Methods in Applied Sciences
title_new Advanced Numerical Methods in Applied Sciences
title_sort advanced numerical methods in applied sciences
publisher MDPI - Multidisciplinary Digital Publishing Institute
publishDate 2019
physical 1 electronic resource (306 p.)
isbn 3-03897-667-9
3-03897-666-0
illustrated Not Illustrated
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carrierType_str_mv cr
is_hierarchy_title Advanced Numerical Methods in Applied Sciences
author2_original_writing_str_mv noLinkedField
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