An H-tensor based iterative scheme for identifying the positive definiteness of multivariate homogen

来源 :2016年张量和矩阵学术研讨会(International conference on Tensor, Matrix a | 被引量 : 0次 | 上传用户:hurusato09
下载到本地 , 更方便阅读
声明 : 本文档内容版权归属内容提供方 , 如果您对本文有版权争议 , 可与客服联系进行内容授权或下架
论文部分内容阅读
  Identifying the positive definiteness of an even-order homogeneous multivariate form is an important task due to its wide applications in such as medical imaging and the stability analysis of nonlinear autonomous systems via Lyapunovs direct method in au-tomatic control and multivariate network realizability analysis. In this paper, based on the equivalence of the positive definiteness of the form to that of the underlying ten-sor, and the links between the positive definiteness of a tensor with strong H-tensor, we propose an H-tensor based iterative scheme for identifying the positive definiteness of multivariate homogeneous forms. The validity of the iterative scheme is guaranteed theoretically and the given numerical experiments show the effciency of the scheme.
其他文献
  In the last decade, spectral theory of tensors and some related topics in tensor study have been studied intensively. In this talk, I will list nine interes
会议
  We present a new nonmonotone Chebyshevs method for solving nonlinear equations, and finding the largest eigenvalue of a nonnegative homogeneous polynomial m
会议
  A central issue in non-linear Perron-Frobenius theory is to give conditions for the existence of a fixed point (or eigenvector) of a non-linear map acting o
会议
  We propose a shifted symmetric higher order power method for computing the H-eigenvalues of a real symmetric even-order tensor. The local convergence of the
会议
  This talk will be a survey of questions involving the representation of forms (homo-geneous polynomials) as sums of powers of forms, This will include both
会议
  In this paper, we present global error bound analysis for tensor complementarity problem defined by a strictly semi-positive tensor. For strictly semi-posit
会议
  In many applications, such as gene expression data analysis, we are interested in coherent patterns that consist of subsets of features and subsets of sampl
会议
  In matrix theory, the Thompson (R. C.) triangle inequality, Golden-Thompson in-equality, and Araki-Lieb-Thirring inequality are well known. In this talk, we
会议
  In machine learning, finance, statistics, and other areas, numerous interesting prob-lems can be modelled into the form of convex composite quadratic conic
会议
  Numerical data are frequently organized as d-dimensional matrices, also called ten-sors. However, only small values of d are allowed if we need to keep this
会议