Results 61 to 70 of about 2,351,945 (200)

On the Inverse of Forward Adjacency Matrix

open access: yesCoRR, 2017
During routine state space circuit analysis of an arbitrarily connected set of nodes representing a lossless LC network, a matrix was formed that was observed to implicitly capture connectivity of the nodes in a graph similar to the conventional incidence matrix, but in a slightly different manner. This matrix has only 0, 1 or -1 as its elements.
Pritam Mukherjee, L. Satish
openaire   +3 more sources

The m-weak core inverse relative to a Hermitian weight

open access: yesDemonstratio Mathematica
In this paper, we introduce the concept of E-relative m-weak core inverse of a square matrix as a common extension of the E-weighted core-EP inverse and the m-weak core inverse.
Ferreyra David E.   +4 more
doaj   +1 more source

The explicit inverse of a tridiagonal matrix

open access: yes, 1970
The closed form inverse of a tridiagonal matrix, which is a slight generalization of a matrix considered by D. Kershaw (Math. Comp., v. 23, 1969, pp. 189–191), is given in this note.
P. Schlegel
core   +1 more source

On the Further Properties of the MPBT Inverse and Applications to Special Matrices

open access: yesMathematics
This paper aims to simplify the form of the MPBT inverse, further explore its properties, and discuss when it coincides with other generalized inverses. Notably, the MPBT inverse coincides with the Moore–Penrose inverse when the index of the matrix is at
Tingyu Zhao, Yuefeng Gao
doaj   +1 more source

Inverse-designed Photonic Computing Core for Parallel Matrix-vector Multiplication

open access: yes
On-chip optical neural networks (ONNs) have recently emerged as an attractive hardware accelerator for deep learning applications, characterized by high computing density, low latency, and compact size.
Kaiyuan Wang (1759912)   +5 more
core   +1 more source

Bayesian Covariance Matrix Estimation using a Mixture of Decomposable Graphical Models [PDF]

open access: yes
Estimating a covariance matrix efficiently and discovering its structure are important statistical problems with applications in many fields. This article takes a Bayesian approach to estimate the covariance matrix of Gaussian data.
Christopher K. Carter   +3 more
core  

RaxML input matrix, inverse exclusion matrix for matrix “>3.4_excluded”, includes only 559 sites with AIR rate >3.4, analyzed without partitions

open access: yes, 2014
RaxML input matrix, inverse exclusion matrix for matrix “>3.4_excluded”, includes only 559 sites with AIR rate >3.4, analyzed without ...
Aaron Liston (167441)   +5 more
core   +1 more source

A one parameter method for the matrix inverse square root [PDF]

open access: yes, 1955
summary:This paper is motivated by the paper [3], where an iterative method for the computation of a matrix inverse square root was considered. We suggest a generalization of the method in [3].
Lakić, Slobodan   +3 more
core   +1 more source

On an inverse for sections of a binomial matrix

open access: yesDiscrete Mathematics, 1978
AbstractThe inverse of the matrix A(τ, q) = (aij(τ, q)), aij(τ, q) = (τ+aji), i, j = 0,1,…., n− 1, is studied and an application of it considered.
Ian F. Blake, Avraham A. Melkman
openaire   +2 more sources

The Moore-Penrose inverse of a free matrix [PDF]

open access: yes, 2007
A matrix is free, or generic, if its nonzero entries are algebraically independent.Necessary and sufficient combinatorial conditions are presented for a complex free matrix to have afree Moore-Penrose inverse.
Britz, Thomas
core   +1 more source

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