Bisection method in higher dimensions and the efficiency number
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Several engineering applications need a robust method to find all
the roots of a set of nonlinear equations automatically. The proposed method
guarantees monotonous convergence, and it can determine whole submanifolds
of the roots if the number of unknowns is larger than the number of
equations. The critical steps of the multidimensional bisection method are
described and possible solutions are proposed. An efficient computational
scheme is introduced. The efficiency of the method is characterized by the
box-counting fractal dimension of the evaluated points. The multidimensional
bisection method is much more efficient than the brute force method. The
proposed method can also be used to determine the fractal dimension of the
submanifold of the solutions with satisfactory accuracy.
[1] Benoit B. Mandelbrot,et al. Fractal Geometry of Nature , 1984 .
[2] Michael E. Henderson,et al. Multiple Parameter Continuation: Computing Implicitly Defined k-Manifolds , 2002, Int. J. Bifurc. Chaos.
[3] T. Tél,et al. Chaotic Dynamics: An Introduction Based on Classical Mechanics , 2006 .
[4] Dénes Takács. Dynamics of towed wheels: nonlinear theory and experiments , 2010 .