Aug 1, 2007 · In this section, we introduce a new efficient algorithm to obtain the inverse of a general nonsingular matrix with maximal rate of convergence.
This paper introduces a new efficient algorithm to obtain the accurate inverse of a given nonsingular matrix with maximal rate of convergence.
Semantic Scholar extracted view of "A new algorithm with maximal rate convergence to obtain inverse matrix" by B. Vajargah.
This paper presents a computational iterative method to find approximate inverses for the inverse of matrices. Analysis of convergence reveals that the method ...
Dec 20, 2023 · The objective is to demonstrate that the Newton method for calculating the matrix inverse exhibits quadratic convergence when all singular ...
Improved Iterative Inverse Matrix Approximation Algorithm for Zero ...
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Sep 20, 2022 · This paper proposes a new improved iterative algorithm that guarantees convergence under any circumstances without dependency on any optimized ...
Sep 19, 2024 · This paper considers distributed optimization problems, where each agent cooperatively minimizes the sum of local objective functions through the communication ...
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The convergence of this algorithm is spectacular: each iteration triples the numher of digits of accuracy. Theorem 27.3. Rayleigh quotient itemtion converges to ...
Sep 16, 2019 · In this paper, a new combined/extended method for time-varying matrix inversion is proposed and investigated.
The Newton-Schulz iteration is a quadratically convergent, inversion-free method for computing the sign function of a matrix. It is advantageous over other ...