We present an algorithm for solving a linear system in a symmetric M-matrix. In particular, for $n times n$ symmetric M-matrix $M$, we show how to find a diagonal matrix $D$ such that $DMD$ is diagonally-dominant. To compute $D$, the algorithm must solve $O{log n}$ linear systems in diagonally-dominant matrices. If we solve these diagonally-dominant systems approximately using the Spielman-Teng nearly-linear time solver, then we obtain an algorithm for approximately solving linear systems in symmetric M-matrices, for which the expected running time is also nearly-linear
AbstractIt is shown that if A or −A is a singular M-matrix satisfying the generalized diagonal domin...
AbstractAn algorithm is presented for the general solution of a set of linear equations Ax=b. The me...
The information-based study of the optimal solution of large linear systems is initiated by studying...
Original manuscript January 28, 2013In this paper, we present a simple combinatorial algorithm that ...
In this paper, we present a simple combinatorial algorithm that solves symmetric diagonally dominant...
We present an improved algorithm for solving symmetrically diagonally dominant linear systems. On in...
In this thesis we study iterative algorithms with simple sublinear time update steps, and we show ho...
We study sublinear algorithms that solve linear systems locally. In the classical version of this pr...
AbstractThis paper develops a novel linear system based approach for computing ‖A-1‖∞, the Skeel con...
AbstractWe prove that if A=[Aij]∈RN,N is a block symmetric matrix and y is a solution of a nearby li...
We present an algorithm that on input of an n×n symmetric diagonally dominant matrix A with m non-ze...
Linear system solving is a main workhorse in applied mathematics. Recently, theoretical computer sci...
AbstractThis paper is a study of the linear complementarity problems with diagonally dominant matric...
In this paper, strong relative perturbation bounds are developed for a number of linear algebra prob...
The symmetric M-matrix and symmetric M0-matrix completion problems are solved and results of Johnson...
AbstractIt is shown that if A or −A is a singular M-matrix satisfying the generalized diagonal domin...
AbstractAn algorithm is presented for the general solution of a set of linear equations Ax=b. The me...
The information-based study of the optimal solution of large linear systems is initiated by studying...
Original manuscript January 28, 2013In this paper, we present a simple combinatorial algorithm that ...
In this paper, we present a simple combinatorial algorithm that solves symmetric diagonally dominant...
We present an improved algorithm for solving symmetrically diagonally dominant linear systems. On in...
In this thesis we study iterative algorithms with simple sublinear time update steps, and we show ho...
We study sublinear algorithms that solve linear systems locally. In the classical version of this pr...
AbstractThis paper develops a novel linear system based approach for computing ‖A-1‖∞, the Skeel con...
AbstractWe prove that if A=[Aij]∈RN,N is a block symmetric matrix and y is a solution of a nearby li...
We present an algorithm that on input of an n×n symmetric diagonally dominant matrix A with m non-ze...
Linear system solving is a main workhorse in applied mathematics. Recently, theoretical computer sci...
AbstractThis paper is a study of the linear complementarity problems with diagonally dominant matric...
In this paper, strong relative perturbation bounds are developed for a number of linear algebra prob...
The symmetric M-matrix and symmetric M0-matrix completion problems are solved and results of Johnson...
AbstractIt is shown that if A or −A is a singular M-matrix satisfying the generalized diagonal domin...
AbstractAn algorithm is presented for the general solution of a set of linear equations Ax=b. The me...
The information-based study of the optimal solution of large linear systems is initiated by studying...