Results 21 to 30 of about 510,471 (302)
Convex (α, β)-Generalized Contraction and Its Applications in Matrix Equations
Axioms, 2023 This paper investigates the existence and convergence of solutions for linear and nonlinear matrix equations. This study explores the potential of convex (α,β)-generalized contraction mappings in geodesic spaces, ensuring the existence of solutions for ...
Rahul Shukla, Winter Sinkala
doaj +1 more source
Partial chord diagrams and matrix models [PDF]
, 2016 In this article, the enumeration of partial chord diagrams is discussed via matrix model techniques. In addition to the basic data such as the number of backbones and chords, we also consider the Euler characteristic, the backbone spectrum, the boundary point spectrum, and the boundary length spectrum.
Andersen, Jørgen Ellegaard +4 more
openaire +5 more sources
Treatment of superficial second-degree burns with a nanofiber tissue matrix: A case report
Burns Open, 2022 Burn wound management has continued to evolve with advances in the understanding of wound healing. Treatment of partial-thickness burns consists of a wide variety of dressings and biosynthetic skin substitutes all with the goal of providing wound ...
John Clayton Rodriguez +2 more
doaj +1 more source
Dynamic Matrix Rank with Partial Lookahead [PDF]
Theory of Computing Systems, 2014 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire +4 more sources
Non-commutative partial matrix convexity [PDF]
Indiana University Mathematics Journal, 2008 Let $p$ be a polynomial in the non-commuting variables $(a,x)=(a_1,...,a_{g_a},x_1,...,x_{g_x})$. If $p$ is convex in the variables $x$, then $p$ has degree two in $x$ and moreover, $p$ has the form $p = L + Λ^T Λ,$ where $L$ has degree at most one in $x$ and $Λ$ is a (column) vector which is linear in $x,$ so that $Λ^TΛ$ is a both sum of squares and ...
Hay, Damon M. +3 more
openaire +2 more sources
Polar factorization of a matrix [PDF]
, 1967 It is known that if A is a bounded linear operator with closed range on a Hilbert space then A can be factored as A=UH, with U a partial isometry and H non-negative and self adjoint.
Hearon, John Z.
core +1 more source
Iterative reconstruction of high-dimensional Gaussian Graphical Models based on a new method to estimate partial correlations under constraints. [PDF]
, 2012 In the context of Gaussian Graphical Models (GGMs) with high-dimensional small sample data, we present a simple procedure, called PACOSE - standing for PArtial COrrelation SElection - to estimate partial correlations under the constraint that some of ...
Bender Andreas +9 more
core +1 more source
The Scientific World Journal, 2014 An n×n matrix is called an N0-matrix if all its specified principal minors are nonpositive. In the context of partial matrices, a partial matrix is called a partial N0-matrix if all its specified principal minors are nonpositive.
Cristina Jordán, Juan R. Torregrosa
doaj +1 more source
The Redheffer Matrix of a Partially Ordered Set [PDF]
The Electronic Journal of Combinatorics, 2004 R. Redheffer described an $n\times n$ matrix of 0's and 1's the size of whose determinant is connected to the Riemann Hypothesis. We describe the permutations that contribute to its determinant and its permanent in terms of integer factorizations. We generalize the Redheffer matrix to finite posets that have a 0 element and find the analogous results ...
openaire +3 more sources
Completions of ε-Dense Partial Latin Squares [PDF]
, 2013 A classical question in combinatorics is the following: given a partial Latin square $P$, when can we complete $P$ to a Latin square $L$? In this paper, we investigate the class of textbf{$epsilon$-dense partial Latin squares}: partial Latin squares in
Bartlett, Padraic James +2 more
core +1 more source