AbstractA triangular processor array for computing the singular values of an m×n (m⩾n) matrix is proposed. A Jacobi-type algorithm is used to first triangularize the given matrix and then diagonalize the resultant triangular form. The requirements are 14n2 + O(n) processors and O(m + nS) time, where S denotes the number of sweeps. The “triangular” array can be extended to a “rectangular” one with 12mn + O(m) processors for the computational of singular vectors
In this paper, we study the computation of the singular value decomposition of a matrix on the ILLI...
Triangular arrays are a unifying thread throughout various areas of discrete mathematics such as num...
The design of a floating point matrix- vector multiplication processor array for VLSI, which has an ...
A triangular processor array for computing a singular value decomposition (SVD) of an $m \times n (...
A cyclic Jacobi method for computing the singular value decomposition of an $mxn$ matrix $(m \geq n...
An algorithm for computing the singular values of a complex matrix based on Rijk's improvement of th...
Parallel Jacobi-like algorithms are presented for computing a singular-value decomposition of an $m...
Abstract. The problem tackled in this paper is the parallel construction of a unit triangular matrix...
Systolic arrays for determining the singular value decomposition of a mxn, m n, matrix A of bandwid...
In this paper, an F'F'GA implementation of a novel and highly scalable hardware architecture for fas...
This work was supported by Ministery of Education of Spain (CAICYT) under Grant Number 2906-83 C03-0...
We have developed algorithms to count singular values of a bidiagonal matrix which are greater than ...
A new systolic array for triangularisation with reduced computation time and latency is described. T...
This paper presents an FPGA implementation of a novel snd Ihighl! scalable hardware architecture for...
We propose a systolic architecture for computing a singular value decomposition of an m x n matrix,...
In this paper, we study the computation of the singular value decomposition of a matrix on the ILLI...
Triangular arrays are a unifying thread throughout various areas of discrete mathematics such as num...
The design of a floating point matrix- vector multiplication processor array for VLSI, which has an ...
A triangular processor array for computing a singular value decomposition (SVD) of an $m \times n (...
A cyclic Jacobi method for computing the singular value decomposition of an $mxn$ matrix $(m \geq n...
An algorithm for computing the singular values of a complex matrix based on Rijk's improvement of th...
Parallel Jacobi-like algorithms are presented for computing a singular-value decomposition of an $m...
Abstract. The problem tackled in this paper is the parallel construction of a unit triangular matrix...
Systolic arrays for determining the singular value decomposition of a mxn, m n, matrix A of bandwid...
In this paper, an F'F'GA implementation of a novel and highly scalable hardware architecture for fas...
This work was supported by Ministery of Education of Spain (CAICYT) under Grant Number 2906-83 C03-0...
We have developed algorithms to count singular values of a bidiagonal matrix which are greater than ...
A new systolic array for triangularisation with reduced computation time and latency is described. T...
This paper presents an FPGA implementation of a novel snd Ihighl! scalable hardware architecture for...
We propose a systolic architecture for computing a singular value decomposition of an m x n matrix,...
In this paper, we study the computation of the singular value decomposition of a matrix on the ILLI...
Triangular arrays are a unifying thread throughout various areas of discrete mathematics such as num...
The design of a floating point matrix- vector multiplication processor array for VLSI, which has an ...
DOI
Add to ORKG