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OALib Journal期刊
ISSN: 2333-9721
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An Algorithm for Sums of Squares of a Class of Positive Semi-Definite Polynomials
一类半正定多项式的配平方和算法

Keywords: Sums of squares,Gram matrix method,Newtonpolytope,sparse polynomial,Hilbert 17-th problem
平方和
,Gram矩阵方法,牛顿多胞型,稀疏多项式,Hilbert17问题.,半正定,稀疏多项式,配平,符号算法,POLYNOMIALS,POSITIVE,CLASS,SQUARES,充分条件,可读性,代数不等式,效率,处理,稀疏性,结构,自动,程序,Maple,PCAD,利用

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Abstract:

Based on Newton polytope technology, by means of the relation of points in Newton polytope, an algorithm is presented for representing a class of positive semi-definite polynomials as sums of squares. It's is very effective for a class of sparse polynomials. This algorithm improves the efficiency of sums ofsquares of real polynomial and advances the Automated Production ofreadable proof of a class of algebraic inequalities. In addition, asufficient condition is derived to determine that a givenpolynomial cannot be represented as a sum of squares.

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