Approximation theory of matrices based on its low ranking and stochastic computation
This work presents that the way to use the successful approximation of a desired matrix based on stochastic and SVD algorithms and compared their results together.
Low rank; Randomized algorithm; Monte Carlo method; Singular value decomposition; Matrix multiplication.
- There are currently no refbacks.
This work is licensed under a Creative Commons Attribution 3.0 License.
ACSA©: World Science Publisher United States