New Predictor-Corrector Methods with High Efficiency for Solving Nonlinear Systems
A new set of predictor-corrector iterative methods with increasing order of convergence is proposed in order to estimate the solution of nonlinear systems. Our aim is to achieve high order of convergence with few Jacobian and/or functional evaluations. Moreover, we pay special attention to the numbe...
Saved in:
| Main Authors: | Alicia Cordero, Juan R. Torregrosa, María P. Vassileva |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2012-01-01
|
| Series: | Journal of Applied Mathematics |
| Online Access: | http://dx.doi.org/10.1155/2012/709843 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Optimal High-Order Methods for Solving Nonlinear Equations
by: S. Artidiello, et al.
Published: (2014-01-01) -
Efficient High-Order Iterative Methods for Solving Nonlinear Systems and Their Application on Heat Conduction Problems
by: Alicia Cordero, et al.
Published: (2017-01-01) -
A Predictor-Corrector Method for Solving Equilibrium Problems
by: Zong-Ke Bao, et al.
Published: (2014-01-01) -
On Solving Hyperbolic Trajectory Using New Predictor-Corrector Quadrature Algorithms
by: Baghdad Science Journal
Published: (2014-03-01) -
Parameter Optimization Method for Predictor–Corrector Guidance With Impact Angle Constraint
by: Xinwan Kong, et al.
Published: (2024-01-01)