We propose an accelerated density matrix purification scheme with error control. The method makes use of the scale-and-fold acceleration technique and screening submatrix products in block-sparse matrix-matrix multiplies to reduce computational cost. An bound a parameter sweep are combined select threshold value for screening, such that can be controlled. evaluate performance comparison without...

‎‎‎This paper presents a remarkable formula for spectral distance of a given block normal matrix $G_{D_0} = begin{pmatrix}‎ ‎A & B \‎ ‎C & D_0‎ ‎end{pmatrix} $ to set of block normal matrix $G_{D}$ (as same as $G_{D_0}$ except block $D$ which is replaced by block $D_0$)‎, ‎in which $A in mathbb{C}^{ntimes n}$ is invertible‎, ‎$ B in mathbb{C}^{ntimes m}‎, ‎C in mathbb{C}^{mti...

The paper presented a novel method to speed up the likelihood computation of the speech recognition system based continuous Hidden Markov Model (CHMM). The block-diagonal covariance matrices were applied in the method and the technique to construct an optimal block-diagonal matrix was introduced. The experimental results demonstrated that the block-diagonal covariance matrices could achieve a l...

In the class of systems with linear precoder and zeroforcing (ZF) DFE for zero-padded MIMO frequency selective channels, existing optimal transceiver designs present two major drawbacks. First, the optimal system requires a large number of bits to encode the full precoding matrix. Second, the full precoding matrix leads to complex computations. These disadvantages become more severe as bandwidt...

a typical iranians carbonate matrix block surrounded by an open fracture was modelled in order to understand the fracture-matrix interaction and how to model the interaction best. this was modelled by using a fine-scaled eclipse model in the single porosity mode . the model was extended to a stack of 6 matrix blocks to understand block-to-block interaction under gas injection scenarios. results...

We present a class of parallel preconditioning strategies built on a multilevel block incomplete LU (ILU) factorization technique to solve large sparse linear systems on distributed memory parallel computers. The preconditioners are constructed by using the concept of block independent sets. Two algorithms for constructing block independent sets of a distributed sparse matrix are proposed. We c...

in this paper, we use a combination of legendre and block-pulse functionson the interval [0; 1] to solve the nonlinear integral equation of the second kind.the nonlinear part of the integral equation is approximated by hybrid legen-dre block-pulse functions, and the nonlinear integral equation is reduced to asystem of nonlinear equations. we give some numerical examples. to showapplicability of...