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Iterative Methods for Solving Nonlinear Equations and Systems
Iterative Methods for Solving Nonlinear Equations and Systems
Autore Soleymani Fazlollah
Pubbl/distr/stampa MDPI - Multidisciplinary Digital Publishing Institute, 2019
Descrizione fisica 1 electronic resource (494 p.)
Soggetto non controllato Lipschitz condition
heston model
rectangular matrices
computational efficiency
Hull–White
order of convergence
signal and image processing
dynamics
divided difference operator
engineering applications
smooth and nonsmooth operators
Newton-HSS method
higher order method
Moore–Penrose
asymptotic error constant
multiple roots
higher order
efficiency index
multiple-root finder
computational efficiency index
Potra–Pták method
nonlinear equations
system of nonlinear equations
purely imaginary extraneous fixed point
attractor basin
point projection
fixed point theorem
convex constraints
weight function
radius of convergence
Frédholm integral equation
semi-local convergence
nonlinear HSS-like method
convexity
accretive operators
Newton-type methods
multipoint iterations
banach space
Kantorovich hypothesis
variational inequality problem
Newton method
semilocal convergence
least square problem
Fréchet derivative
Newton’s method
iterative process
Newton-like method
Banach space
sixteenth-order optimal convergence
nonlinear systems
Chebyshev–Halley-type
Jarratt method
iteration scheme
Newton’s iterative method
basins of attraction
drazin inverse
option pricing
higher order of convergence
non-linear equation
numerical experiment
signal processing
optimal methods
rate of convergence
n-dimensional Euclidean space
non-differentiable operator
projection method
Newton’s second order method
intersection
planar algebraic curve
Hilbert space
conjugate gradient method
sixteenth order convergence method
Padé approximation
optimal iterative methods
error bound
high order
Fredholm integral equation
global convergence
iterative method
integral equation
?-continuity condition
systems of nonlinear equations
generalized inverse
local convergence
iterative methods
multi-valued quasi-nonexpasive mappings
R-order
finite difference (FD)
nonlinear operator equation
basin of attraction
PDE
King’s family
Steffensen’s method
nonlinear monotone equations
Picard-HSS method
nonlinear models
the improved curvature circle algorithm
split variational inclusion problem
computational order of convergence
with memory
multipoint iterative methods
Kung–Traub conjecture
multiple zeros
fourth order iterative methods
parametric curve
optimal order
nonlinear equation
ISBN 3-03921-941-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910367739103321
Soleymani Fazlollah  
MDPI - Multidisciplinary Digital Publishing Institute, 2019
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Symmetry in Complex Systems
Symmetry in Complex Systems
Autore Machado J. A. Tenreiro
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
Descrizione fisica 1 electronic resource (118 p.)
Soggetto topico History of engineering & technology
Soggetto non controllato multi-agent system (MAS)
reinforcement learning (RL)
mobile robots
function approximation
Opportunistic complex social network
cooperative
neighbor node
probability model
social relationship
adapted PageRank algorithm
PageRank vector
networks centrality
multiplex networks
biplex networks
divided difference
radius of convergence
Kung–Traub method
local convergence
Lipschitz constant
Banach space
fractional calculus
Caputo derivative
generalized Fourier law
Laplace transform
Fourier transform
Mittag–Leffler function
non-Fourier heat conduction
Mei symmetry
conserved quantity
adiabatic invariant
quasi-fractional dynamical system
non-standard Lagrangians
complex systems
symmetry-breaking
bifurcation theory
complex networks
nonlinear dynamical systems
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557292103321
Machado J. A. Tenreiro  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui