Finding All Solutions of Nonlinear Equations Using Linear Combinations of Functions

As a computational method to find all solutions of nonlinear equations, interval analysis is well-known. In order to improve the computational efficiency of interval analysis, it is necessary to develop a powerful test for nonexistence of a solution in a given region. In this paper, a new nonexistence test is proposed which is more powerful than the conventional test. The basic idea proposed here is to apply the conventional test to linear combinations of functions. Effective linear combinations are proposed which make the nonexistence test very powerful. Using the proposed techniques, all solutions of nonlinear equations (including a system of 100 nonlinear equations and a system with strong nonlinearity which describes a transistor circuit) could be found very efficiently.

[1]  Ramon E. Moore A Test for Existence of Solutions to Nonlinear Systems , 1977 .

[2]  Kiyotaka Yamamura,et al.  A fixed-point homotopy method for solving modified nodal equations , 1999 .

[3]  R. B. Kearfott,et al.  Applications of interval computations , 1996 .

[4]  Lubomir V. Kolev A New Method for Global Solution of Systems of Non-Linear Equations , 1998, Reliab. Comput..

[5]  L. B. Rall A Comparison of the Existence Theorems of Kantorovich and Moore , 1980 .

[6]  M. A. Wolfe,et al.  An improved form of the Krawczyk-Moore algorithm , 1985 .

[7]  Ramon E. Moore Methods and applications of interval analysis , 1979, SIAM studies in applied mathematics.

[8]  Kiyotaka Yamamura,et al.  An algorithm for finding all solutions of piecewise-linear resistive circuits , 1996 .

[9]  Ramon E. Moore,et al.  SAFE STARTING REGIONS FOR ITERATIVE METHODS , 1977 .

[10]  Kiyotaka Yamamura,et al.  Finding all solutions of piecewise-linear resistive circuits using linear programming , 1996 .

[11]  E. Allgower,et al.  Simplicial and Continuation Methods for Approximating Fixed Points and Solutions to Systems of Equations , 1980 .

[12]  Kiyotaka Yamamura Finding all solutions of piecewise-linear resistive circuits using simple sign tests , 1993 .

[13]  A. Neumaier Interval iteration for zeros of systems of equations , 1985 .

[14]  K. Yamamura,et al.  Interval solution of nonlinear equations using linear programming , 1998 .

[15]  R. Baker Kearfott,et al.  Preconditioners for the interval Gauss-Seidel method , 1990 .

[16]  E. Hansen,et al.  Bounding solutions of systems of equations using interval analysis , 1981 .

[17]  M. A. Wolfe A Modification of Krawczyk’s Algorithm , 1980 .

[18]  Kiyotaka Yamamura,et al.  An efficient algorithm for finding all solutions of piecewise-linear resistive circuits , 1992 .

[19]  M. Tadeusiewicz,et al.  DC analysis of circuits with idealized diodes considering reverse bias breakdown phenomenon , 1997 .

[20]  Krawczyk-Like Algorithms for the Solution of Systems of Nonlinear Equations , 1985 .

[21]  Eldon Hansen,et al.  A globally convergent interval method for computing and bounding real roots , 1978 .

[22]  L. Qi A Note on the Moore Test for Nonlinear Systems , 1982 .

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

[24]  M. A. Wolfe,et al.  Some Computable Existence, Uniqueness, and Convergence Tests for Nonlinear Systems , 1985 .

[25]  Kiyotaka Yamamura,et al.  A globally and quadratically convergent algorithm for solving nonlinear resistive networks , 1990, IEEE Trans. Comput. Aided Des. Integr. Circuits Syst..

[26]  G. Alefeld,et al.  Introduction to Interval Computation , 1983 .

[27]  Götz Alefeld,et al.  A QUADRATICALLY CONVERGENT KRAWCZYK-LIKE ALGORITHM* , 1983 .

[28]  Ramon E. Moore,et al.  A Successive Interval Test for Nonlinear Systems , 1982 .

[29]  A. Neumaier Interval methods for systems of equations , 1990 .