A general mesh independence principle for Newton's method applied to second order boundary value problems

Computing ◽  
1979 ◽  
Vol 23 (3) ◽  
pp. 233-246 ◽  
Author(s):  
E. L. Allgower ◽  
F. St. McCormick ◽  
D. V. Pryor
2019 ◽  
Vol 61 (1) ◽  
pp. 23-46 ◽  
Author(s):  
BISHNU P. LAMICHHANE ◽  
SCOTT B. LINDSTROM ◽  
BRAILEY SIMS

The Douglas–Rachford method has been employed successfully to solve many kinds of nonconvex feasibility problems. In particular, recent research has shown surprising stability for the method when it is applied to finding the intersections of hypersurfaces. Motivated by these discoveries, we reformulate a second order boundary value problem (BVP) as a feasibility problem where the sets are hypersurfaces. We show that such a problem may always be reformulated as a feasibility problem on no more than three sets and is well suited to parallelization. We explore the stability of the method by applying it to several BVPs, including cases where the traditional Newton’s method fails.


1965 ◽  
Vol 32 (2) ◽  
pp. 383-388 ◽  
Author(s):  
G. A. Thurston

Many problems in mechanics are formulated as nonlinear boundary-value problems. A practical method of solving such problems is to extend Newton’s method for calculating roots of algebraic equations. Three problems are treated in this paper to illustrate the use of this method and compare it with other methods.


2018 ◽  
Vol 23 (1) ◽  
pp. 33-43
Author(s):  
Hui Zhu ◽  
Jing Niu ◽  
Ruimin Zhang ◽  
Yingzhen Lin

In this paper, an efficient method based on Quasi-Newton's method and the simpliffied reproducing kernel method is proposed for solving nonlinear singular boundary value problems. For the Quasi-Newton's method the convergence order is studied. The uniform convergence of the numerical solution as well as its derivatives are also proved. Numerical examples are given to demonstrate the efficiency and stability of the proposed method. The numerical results are compared with exact solutions and the outcomes of other existing numerical methods.


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