High-order lifting for polynomial Sylvester matrices

被引:1
|
作者
Pernet, Clement [2 ]
Signargout, Hippolyte [1 ,2 ]
Villard, Gilles [1 ]
机构
[1] Univ Lyon, CNRS,UCBL, ENS Lyon, Inria,LIP UMR 5668, Lyon, France
[2] Univ Grenoble Alpes, CNRS, UMR 5224, LJK, Grenoble, France
关键词
Complexity; Algorithm; Computer algebra; Resultant; Polynomial structured matrix; Displacement rank; FAST COMPUTATION;
D O I
10.1016/j.jco.2023.101803
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
A new algorithm is presented for computing the resultant of two generic bivariate polynomials over an arbitrary field. For p, q in K[x, y] of degree d in x and n in y, the resultant with respect to y is computed using O(n1.458d) arithmetic operations ifd= O(n1/3). For d =1, the complexity estimate is therefore reconciled with the estimates of Neiger et al. 2021 for the related problems of modular composition and characteristic polynomial in a univariate quotient algebra. The 3/2 barrier in the exponent of n is crossed for the first time for the resultant. The problem is related to that of computing determinants of structured polynomial matrices. We identify new advanced aspects of structure for a polynomial Sylvester matrix. This enables to compute the determinant by mixing the baby steps/giant steps approach of Kaltofen and Villard 2005, until then restricted to the case d =1 for characteristic polynomials, and the high-order lifting strategy of Storjohann 2003 usually reserved for dense polynomial matrices. (c) 2023 Elsevier Inc. All rights reserved.
引用
收藏
页数:33
相关论文
共 50 条
  • [21] Accuracy of high-order, discrete approximations to the lifting-line equation
    Coder, J. G.
    AERONAUTICAL JOURNAL, 2023, 127 (1315): : 1536 - 1553
  • [23] Construction and application of new high-order polynomial chaotic maps
    Hongyan Zang
    Xinxin Zhao
    Xinyuan Wei
    Nonlinear Dynamics, 2022, 107 : 1247 - 1261
  • [24] A HIGH-ORDER ITERATIVE FORMULA FOR SIMULTANEOUS DETERMINATION OF ZEROS OF A POLYNOMIAL
    SAKURAI, T
    TORII, T
    SUGIURA, H
    JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS, 1991, 38 (1-3) : 387 - 397
  • [25] Comparing Computer Experiments for Fitting High-Order Polynomial Metamodels
    Johnson, Rachel T.
    Montgomery, Douglas C.
    Jones, Bradley
    Parker, Peter A.
    JOURNAL OF QUALITY TECHNOLOGY, 2010, 42 (01) : 86 - 102
  • [26] An architecture for high-order, variable polynomial analog Viterbi detectors
    Altarriba, M
    Spencer, R
    40TH MIDWEST SYMPOSIUM ON CIRCUITS AND SYSTEMS, VOLS 1 AND 2, 1998, : 268 - 271
  • [27] Graph Neural Networks With High-Order Polynomial Spectral Filters
    Zeng, Zeyuan
    Peng, Qinke
    Mou, Xu
    Wang, Ying
    Li, Ruimeng
    IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2024, 35 (09) : 12590 - 12603
  • [28] Deep Multimodal Multilinear Fusion with High-order Polynomial Pooling
    Hou, Ming
    Tang, Jiajia
    Zhang, Jianhai
    Kong, Wanzeng
    Zhao, Qibin
    ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 32 (NIPS 2019), 2019, 32
  • [29] Incremental modeling of a new high-order polynomial surrogate model
    Wu, Jinglai
    Luo, Zhen
    Zheng, Jing
    Jiang, Chao
    APPLIED MATHEMATICAL MODELLING, 2016, 40 (7-8) : 4681 - 4699
  • [30] New rotation vector algorithm based on a high-order polynomial
    Guo, Xiaole
    Liu, Xixiang
    Yan, Jie
    Wang, Yixiao
    Zeng, Jichao
    Pan, Shuguo
    IET RADAR SONAR AND NAVIGATION, 2020, 14 (01): : 133 - 137