Reprint
Numerical Methods for Solving Nonlinear Equations
Edited by
October 2023
184 pages
- ISBN978-3-0365-9214-5 (Hardback)
- ISBN978-3-0365-9215-2 (PDF)
This book is a reprint of the Special Issue Numerical Methods for Solving Nonlinear Equations that was published in
Computer Science & Mathematics
Engineering
Physical Sciences
Public Health & Healthcare
Summary
The present reprint contains 10 articles which have been published in a Special Issue of MDPI’s journal Mathematics titled, ‘Numerical Methods for Solving Nonlinear Equations’, covering a wide range of topics on the numerical methods for solving nonlinear differential equations, nonlinear integral equations, nonlinear integro-differential equations, nonlinear variational equations, nonlinear optimization problems, nonlinear control problems, equilibrium problems or nonlinear algebraic equations.
Format
- Hardback
License
© 2022 by the authors; CC BY-NC-ND license
Keywords
multi-point iterative methods; iteration functions; polynomial zeros; local convergence; error estimates; semilocal convergence; weakly singular kernel Volterra integral equation; proportional delay; improved trapezoidal quadrature formula; Richardson extrapolation; posteriori error estimate; iterative numerical methods; Schauder bases; Fredholm integral equation; Sylvester matrix equation; Kronecker product; adaptive accelerated proximal gradient method; Newton-accelerated proximal gradient method; generalized three-step numerical method; convergence; Banach space; nonlinear equation; criterion; integral equation; convergence; iterative method; frozen Jacobian multi-step iterative method; system of nonlinear equations; high-order convergence; Banach algebras; fixed point theory; functional equations; Schauder bases; PIDE; stochastic volatility; semi-discretiztion; RBF-FD; Bates model; nonlinear systems; Newton’s method; iterative methods; sperm swarm optimization algorithm; optimization algorithm