首页> 外文会议>International Symposium on Symbolic and Algebraic Computation(ISSAC 2004); 20040704-07; Santander(ES) >Absolute Polynomial Factorization in Two Variables and the Knapsack Problem
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Absolute Polynomial Factorization in Two Variables and the Knapsack Problem

机译:两个变量的绝对多项式因式分解和背包问题

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A recent algorithmic procedure for computing the absolute factorization of a polynomial P(X, Y), after a linear change of coordinates, is via a factorization modulo X~3. This was proposed by A. Galligo and D. Rupprecht in [7], [16]. Then absolute factorization is reduced to finding the minimal zero sum relations between a set of approximated numbers b_i, i = 1 to n such that ∑ from i=1 to n of b_i =0, (see also [17]). Here this problem with an a priori exponential complexity, is efficiently solved for large degrees (n > 100). We rely on LLL algorithm, used with a strategy of computation inspired by van Hoeij's treatment in [23]. For that purpose we prove a theorem on bounded integer relations between the numbers bi, also called linear traces in [19].
机译:在坐标线性变化之后,用于计算多项式P(X,Y)的绝对因式分解的一种最新算法程序是通过对因数X〜3进行因式分解。这是由A. Galligo和D. Rupprecht在[7],[16]中提出的。然后,将绝对因式分解简化为找到一组近似数b_i,i = 1至n之间的最小零和关系,以使从i = 1到b_i = 0的n等于∑(另请参见[17])。在此,具有先验指数复杂性的问题可以在很大程度上(n> 100)得到有效解决。我们依靠LLL算法,该算法结合了Van Hoeij在[23]中的处理方法所启发的计算策略。为此,我们证明了关于数字bi之间有界整数关系的定理,在[19]中也称为线性迹线。

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