Abstract. Pade ́ approximation is considered from the point of view of robust methods of numerical linear algebra, in particular the singular value decomposition. This leads to an algorithm for practical computation that bypasses most problems of solution of nearly-singular systems and spurious pole-zero pairs caused by rounding errors; a Matlab code is provided. The success of this algorithm suggests that there might be variants of Pade ́ approximation that would be pointwise convergent as the degrees of the numerator and denominator increase to ∞, unlike traditional Padé approximants, which converge only in measure or capacity
In our earlier work Fareed et al. (2018), we proposed an incremental SVD algorithm with respect to a...
The Singular Value Decomposition (SVD) is a fundamental algorithm used to understand the structure o...
SVD) can be computed from A, which are nearly the singular value decomposition of A. B is upper bidi...
Abstract. Pade ́ approximation is considered from the point of view of robust methods of numerical l...
Padé approximation is considered from the point of view of robust methods of numerical linear algebr...
Dedicated to the memory of our friend Herbert Stahl and our colleague A.A. Gonchar. For a recent new...
In this paper, we present an efficient algorithm for the certification of numeric singular value dec...
We analyze when it is possible to compute the singular values and singular vectors of a matrix with ...
To increase the robustness of a Pade-based approximation of parametric solutions to finite element p...
AbstractThe Partial Singular Value Decomposition (PSVD) subroutine computes a basis of the left and/...
AbstractWe analyze when it is possible to compute the singular values and singular vectors of a matr...
Abstract. Multiplicative backward stability results are presented for two algorithms which compute t...
We present new O(n 3 ) algorithms to compute very accurate SVDs of Cauchy matrices, Vandermonde ma...
In a recent paper [7], the authors develop a fast, iterative, look-ahead algorithm for numerically c...
Padé approximation is a rational approximation constructed from the coefficients of a power series o...
In our earlier work Fareed et al. (2018), we proposed an incremental SVD algorithm with respect to a...
The Singular Value Decomposition (SVD) is a fundamental algorithm used to understand the structure o...
SVD) can be computed from A, which are nearly the singular value decomposition of A. B is upper bidi...
Abstract. Pade ́ approximation is considered from the point of view of robust methods of numerical l...
Padé approximation is considered from the point of view of robust methods of numerical linear algebr...
Dedicated to the memory of our friend Herbert Stahl and our colleague A.A. Gonchar. For a recent new...
In this paper, we present an efficient algorithm for the certification of numeric singular value dec...
We analyze when it is possible to compute the singular values and singular vectors of a matrix with ...
To increase the robustness of a Pade-based approximation of parametric solutions to finite element p...
AbstractThe Partial Singular Value Decomposition (PSVD) subroutine computes a basis of the left and/...
AbstractWe analyze when it is possible to compute the singular values and singular vectors of a matr...
Abstract. Multiplicative backward stability results are presented for two algorithms which compute t...
We present new O(n 3 ) algorithms to compute very accurate SVDs of Cauchy matrices, Vandermonde ma...
In a recent paper [7], the authors develop a fast, iterative, look-ahead algorithm for numerically c...
Padé approximation is a rational approximation constructed from the coefficients of a power series o...
In our earlier work Fareed et al. (2018), we proposed an incremental SVD algorithm with respect to a...
The Singular Value Decomposition (SVD) is a fundamental algorithm used to understand the structure o...
SVD) can be computed from A, which are nearly the singular value decomposition of A. B is upper bidi...