Results 51 to 60 of about 649,170 (367)

On The Frobenius Condition Number of Positive Definite Matrices

open access: yesJournal of Inequalities and Applications, 2010
We present some lower bounds for the Frobenius condition number of a positive definite matrix depending on trace, determinant, and Frobenius norm of a positive definite matrix and compare these results with other results. Also, we give a relation for the
Ramazan Türkmen   +1 more
doaj   +2 more sources

Matrix Decomposition Perspective for Accuracy Assessment of Item Response Theory [PDF]

open access: yesarXiv, 2022
The item response theory obtains the estimates and their confidence intervals for parameters of abilities of examinees and difficulties of problems by using the observed item response matrix consisting of 0/1 value elements. Many papers discuss the performance of the estimates. However, this paper does not.
arxiv  

Positive definite solutions of some matrix equations

open access: yesLinear Algebra and its Applications, 2008
AbstractIn this paper we investigate some existence questions of positive semi-definite solutions for certain classes of matrix equations known as the generalized Lyapunov equations. We present sufficient and necessary conditions for certain equations and only sufficient for others.
Gradimir V. Milovanović   +1 more
openaire   +2 more sources

Positive Definite Norm Dependent Matrices In Stochastic Modeling

open access: yesDemonstratio Mathematica, 2014
Positive definite norm dependent matrices are of interest in stochastic modeling of distance/norm dependent phenomena in nature. An example is the application of geostatistics in geographic information systems or mathematical analysis of varied spatial ...
Kuniewski Sebastian P.   +1 more
doaj   +1 more source

A New Symmetric Rank One Algorithm for Unconstrained Optimization [PDF]

open access: yesAl-Rafidain Journal of Computer Sciences and Mathematics, 2011
In this paper, a new symmetric rank one for unconstrained optimization problems is presented. This new algorithm is used to solve symmetric and positive definite matrix.
Abbas Al-Bayati, Salah Shareef
doaj   +1 more source

Evaluating functions of positive-definite matrices using colored noise thermostats [PDF]

open access: yes, 2014
Many applications in computational science require computing the elements of a function of a large matrix. A commonly used approach is based on the the evaluation of the eigenvalue decomposition, a task that, in general, involves a computing time that ...
Ceriotti, Michele   +3 more
core   +2 more sources

An algorithm for rescaling a matrix positive definite

open access: yesLinear Algebra and its Applications, 1987
AbstractFor a given square real matrix M, we present a general algorithm which decides the existence of a positive diagonal matrix D such that DM is positive definite and which constructs the D if it exists. It is shown that solving this matrix rescaling problem is equivalent to finding a solution of an infinite system of linear inequalities.
openaire   +2 more sources

The theory and applications of complex matrix scalings

open access: yesSpecial Matrices, 2014
We generalize the theory of positive diagonal scalings of real positive definite matrices to complex diagonal scalings of complex positive definite matrices.
Pereira Rajesh, Boneng Joanna
doaj   +1 more source

Applying fixed point techniques for obtaining a positive definite solution to nonlinear matrix equations

open access: yesAIMS Mathematics, 2023
In this manuscript, the concept of rational-type multivalued F−contraction mappings is investigated. In addition, some nice fixed point results are obtained using this concept in the setting of MM−spaces and ordered MM−spaces. Our findings extend, unify,
Muhammad Tariq   +4 more
doaj   +1 more source

Constructing Goeritz matrix from Dehn coloring matrix [PDF]

open access: yesarXiv, 2022
Associated to a knot diagram, Goeritz introduced an integral matrix, which is now called a Goeritz matrix. It was shown by Traldi that the solution space of the equations with Goeritz matrix (precisely, unreduced Goeritz matrix called in his paper) as a coefficient matrix is isomorphic to the linear space consisting of the Dehn colorings for a knot. In
arxiv  

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