A new dimension-reducing method for solving systems of nonlinear equations

A method for the numerical solution of systems of nonlinear algebraic and/or transcendental equations in is presented. This method reduces the dimensionality of the system in such a way that it can lead to an iterative approximate formula for the computation of n−1 components of the solution, while the remaining component of the solution is evaluated separately using the final approximations of the other components. This (n−1)-dimensional iterative formula generates a sequence of points in which converges quadratically to n−1 components of the solution. Moreover, it does not require a good initial guess for one component of the solution and it does not directly perform function evaluations, thus it can be applied to problems with imprecise function values. A proof of convergence is given and numerical applications are presented.

[1]  K. Sikorski Bisection is optimal , 1982 .

[2]  E. Allgower,et al.  The approximation of solutions of nonlinear elliptic boundary value problems having several solutions , 1973 .

[3]  J. J. Moré Nonlinear generalizations of matrix diagonal dominance with application to Gauss-Seidel iterations. , 1972 .

[4]  J. Dieudonne Foundations of Modern Analysis , 1969 .

[5]  T.,et al.  SOLVING SYSTEMS OF NONLINEAR EQUATIONS IN Rn USING A ROTATING HYPERPLANE IN Rn " , 1989 .

[6]  N. Yamamoto,et al.  Regularization of Solutions of Nonlinear Equations with Singular Jacobian Matrices , 1984 .

[7]  James M. Ortega,et al.  Iterative solution of nonlinear equations in several variables , 2014, Computer science and applied mathematics.

[8]  S. Gorn Maximal Convergence Intervals and a Gibbs Type Phenomenon for Newton's Approximation Procedure , 1954 .

[9]  Michael N. Vrahatis,et al.  Algorithm 666: Chabis: a mathematical software package for locating and evaluating roots of systems of nonlinear equations , 1988, TOMS.

[10]  M N Vrahatis,et al.  A rapid Generalized Method of Bisection for solving Systems of Non-linear Equations , 1986 .

[11]  Michael N. Vrahatis,et al.  Solving systems of nonlinear equations using the nonzero value of the topological degree , 1988, TOMS.

[12]  Baker Kearfott,et al.  An efficient degree-computation method for a generalized method of bisection , 1979 .

[13]  Kris Sikorski,et al.  A bisection method for systems of nonlinear equations , 1984, TOMS.

[14]  Michael N. Vrahatis,et al.  A convergence-improving iterative method for computing periodic orbits near Bifurcation Points , 1990 .

[15]  J. Traub Iterative Methods for the Solution of Equations , 1982 .

[16]  J. Ortega,et al.  Nonlinear Difference Equations and Gauss-Seidel Type Iterative Methods , 1966 .

[17]  Michael N. Vrahatis,et al.  Solving systems of nonlinear equations In using a rotating hyperplane in , 1990, Int. J. Comput. Math..

[18]  Jorge J. Moré,et al.  Testing Unconstrained Optimization Software , 1981, TOMS.

[19]  Michael N. Vrahatis,et al.  The implicit function theorem for solving systems of nonlinear equations in , 1989 .

[20]  R. Baker Kearfott,et al.  Some tests of generalized bisection , 1987, TOMS.

[21]  J. Miller Numerical Analysis , 1966, Nature.

[22]  A. Ostrowski Solution of equations in Euclidean and Banach spaces , 1973 .

[23]  J. Douglas Faires,et al.  Numerical Analysis , 1981 .