Abstract
In this paper, we present an improved method for decomposing multivariate polynomials. This problem, also known as the Functional Decomposition Problem (FDP) [17, 9, 27], is classical in computer algebra (e.g. [17, 18, 19, 23, 24, 7, 25]). Here, we propose to use high order partial derivatives to improve the algorithm described in [14]. Our new approach is more simple, and in some sense more natural. From a practical point of view, this new approach will lead to more efficient algorithms. The complexity of our algorithms will depend of the degree of the input polynomials, and the ratio n/u between the number of variables/polynomials. Copyright 2009 ACM.
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Faugère, J. C., & Perret, L. (2009). High order derivatives and decomposition of multivariate polynomials. In Proceedings of the International Symposium on Symbolic and Algebraic Computation, ISSAC (pp. 207–214). https://doi.org/10.1145/1576702.1576732
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