“…This calculation also shows that A (2) [2,3,4], the Schur complement of A [1], is not SDD 1 by rows.…”
Section: Example 33 It Can Be Checked That the Matrixmentioning
confidence: 87%
“…The matrixà (1) associated with any symmetric diagonal dominant pivoting strategy is again a matrix SDD 1 by rows and is given byà (1) = P 1i AP T 1i . By Theorem 3.4 (i), its Schur complement A (2) [2, .…”
Section: Definition 35 Letmentioning
confidence: 99%
“…However, for large sparse matrices, it is more convenient the use of iterative methods for this purpose as well as for the construction of D. This is an important recent field of research and has been studied in the last years (cf. [1][2][3][10][11][12]). In these papers, the practical interest and applications of this subject is shown, as well as its difficulty.…”
We analyze a class of matrices generalizing strictly diagonally dominant matrices and included in the important class of H-matrices. Adequate pivoting strategies and the corresponding Schur complements are studied. A new class of matrices with all their principal minors positive is presented.
“…This calculation also shows that A (2) [2,3,4], the Schur complement of A [1], is not SDD 1 by rows.…”
Section: Example 33 It Can Be Checked That the Matrixmentioning
confidence: 87%
“…The matrixà (1) associated with any symmetric diagonal dominant pivoting strategy is again a matrix SDD 1 by rows and is given byà (1) = P 1i AP T 1i . By Theorem 3.4 (i), its Schur complement A (2) [2, .…”
Section: Definition 35 Letmentioning
confidence: 99%
“…However, for large sparse matrices, it is more convenient the use of iterative methods for this purpose as well as for the construction of D. This is an important recent field of research and has been studied in the last years (cf. [1][2][3][10][11][12]). In these papers, the practical interest and applications of this subject is shown, as well as its difficulty.…”
We analyze a class of matrices generalizing strictly diagonally dominant matrices and included in the important class of H-matrices. Adequate pivoting strategies and the corresponding Schur complements are studied. A new class of matrices with all their principal minors positive is presented.
“…Since the coefficient matrix in system (2) is of order n × 2n, in solving the corresponding LP, it is needed O(n 2 ) computations in the worst case, at each iteration of the simplex algorithm. This complexity is the same as some iterative methods that proposed for characterization of H-matrices [2,12]. Those algorithms need to update a matrix of order n×n at each iteration and therefore the amount of computation that they need for one iteration is O(n 2 ).…”
Section: Theorem 23 [5] (Gordan's Theorem) Let G Be a Real M × N Mamentioning
confidence: 92%
“…Some iterative algorithms have been proposed based on this definition to find out if a matrix is an H-matrix or not, [2,3,12]. They all try to find a point diagonal matrix D to show that Definition 1.2 holds.…”
Abstract:The iterative methods for characterization of H-matrices consider the problem of finding a positive diagonal matrix D such that AD is strictly diagonally dominant. In this paper we consider this property and use the Gordan's theorem of the alternative to find a linear feasibility problem which can be solved efficiently by pivoting methods and gives us a criterion for deciding about the H-character of a given matrix. We also describe matrix scaling problem and show that there is a matrix corresponding to any given matrix A such that its scalability is equivalent to the H-character of A.
Eigenvalue bounds are provided. It is proved that the minimal eigenvalue of a Z -matrix strictly diagonally dominant with positive diagonals lies between the minimal and the maximal row sums. A similar upper bound does not hold for the minimal eigenvalue of a matrix strictly diagonally dominant with positive diagonals but with off-diagonal entries with arbitrary sign. Other new bounds for nonsingular M-matrices and totally nonnegative matrices are obtained.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.