A mind map is a note-taking method that involves laying out ideas on sheet of paper and branching along the lines one's thought processes. With mapping, learning will be easy to describe, material quite difficult can easily understood or simplified. This study aims describe effectiveness mapping in matrix operations grade 11. Three indicators are: 1) teacher management learning; 2) student invo...

We describe a fraction free version of the Matrix Berlekamp/Massey algorithm. The algorithm computes a minimal matrix generator of linearly generated square matrix sequences over an integral domain. The algorithm performs all operations in the integral domain, so all divisions performed are exact. For scalar sequences, the matrix algorithm specializes to a more efficient algorithm than the algo...

Matrix inversion algorithm acting an important role in MIMO wireless communication.In this paper, we presenta matrix inversion algorithm and it’s applications in the high speed MIMO LTE receiver which is based on floating point DSP. Matrix operations are the most costly computational module within MIMO receivers but a matrix inversion algorithm is very easy to compute and significantly reduce t...

A block Toeplitz algorithm is proposed to perform the J-spectral factorization of a para-Hermitian polynomial matrix. The input matrix can be singular or indefinite, and it can have zeros along the imaginary axis. The key assumption is that the finite zeros of the input polynomial matrix are given as input data. The algorithm is based on numerically reliable operations only, namely computation ...

This paper gives a look-ahead Schur algorithm for nding the symmetric factorization of a Hermitian block Toeplitz matrix. The method is based on matrix operations and does not require any relations with orthogonal polynomials. The simplicity of the matrix based approach ought to shed new light on other issues such as parallelism and numerical stability.

This paper gives a look-ahead Schur algorithm for nding the symmetric factorization of a Hermitian block Toeplitz matrix. The method is based on matrix operations and does not require any relations with orthogonal polynomials. The simplicity of the matrix based approach ought to shed new light on other issues such as parallelism and numerical stability.

A stable test for checking if a matrix is a nonsingular M -matrix is presented. Its computational cost is, in the worst case, O(n2) elementary operations higher than the computational cost of Gaussian elimination. The test can be applied to check if a nonnegative matrix has spectral radius less than 1.