A Nonlinear Shooting Method and Its Application to Nonlinear Rayleigh-Bénard Convection
Author(s) -
Jitender Singh
Publication year - 2013
Publication title -
isrn mathematical analysis
Language(s) - English
Resource type - Journals
eISSN - 2090-4665
pISSN - 2090-4657
DOI - 10.1155/2013/650208
Subject(s) - steffensen's method , nonlinear system , mathematics , shooting method , lipschitz continuity , quadratic equation , mathematical analysis , rate of convergence , newton's method , convergence (economics) , local convergence , boundary value problem , iterative method , newton's method in optimization , mathematical optimization , physics , geometry , computer science , computer network , channel (broadcasting) , quantum mechanics , economics , economic growth
The simple shooting method is revisited in order to solve nonlinear two-point BVP numerically. The BVP of the type is considered where components of are known at one of the boundaries and components of are specified at the other boundary. The map is assumed to be smooth and satisfies the Lipschitz condition. The two-point BVP is transformed into a system of nonlinear algebraic equations in several variables which, is solved numerically using the Newton method. Unlike the one-dimensional case, the Newton method does not always have quadratic convergence in general. However, we prove that the rate of convergence of the Newton iterative scheme associated with the BVPs of present type is at least quadratic. This indeed justifies and generalizes the shooting method of Ha (2001) to the BVPs arising in the higher order nonlinear ODEs. With at least quadratic convergence of Newton's method, an explicit application in solving nonlinear Rayleigh-Benard convection in a horizontal fluid layer heated from the below is discussed where rapid convergence in nonlinear shooting essentially plays an important role.
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