A common problem in scientific computing is to find global solutions of a system of nonlinear polynomial equations efficiently. In this paper, we describe a possible strategy to compute verified solutions of such systems in a given box. First we use the algorithms of Sherbrooke and Patrikalakis, extended to interval arithmetic, to find intervals, which possibly contain solutions, then we verify, if these intervals really contain a zero of the system. These tests are based on the criterion of Miranda, which we further developed for polynomial systems. We show that only checking a matrix to be strictly diagonally dominant and estimating of the remainder is required. At last we quote a further criterion that can be used alternatively.
CITATION STYLE
Fausten, D., & Luther, W. (2001). Verified Solutions of Systems of Nonlinear Polynomial Equations. In Scientific Computing, Validated Numerics, Interval Methods (pp. 141–152). Springer US. https://doi.org/10.1007/978-1-4757-6484-0_12
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