| Conţinutul numărului revistei |
| Articolul precedent |
| Articolul urmator |
 |
 901 7 |
| Ultima descărcare din IBN: 2020-08-24 17:47 |
| Căutarea după subiecte similare conform CZU |
| 004.832.23:519.245 (1) |
| Inteligență artificială (303) |
| Probabilitate. Statistică matematică (80) |
 SM ISO690:2012VAJARGAH, Behrouz-Fathi, MEHRDOUST, Farshid. Matrix balancing and robust Monte Carlo
algorithm for evaluating dominant eigenpair. In: Computer Science Journal of Moldova, 2010, nr. 3(54), pp. 355-366. ISSN 1561-4042. |
| EXPORT metadate: Google Scholar Crossref CERIF DataCite Dublin Core |
 Computer Science Journal of Moldova |
||||||
| Numărul 3(54) / 2010 / ISSN 1561-4042 /ISSNe 2587-4330 | ||||||
|
||||||
| CZU: 004.832.23:519.245 | ||||||
| Pag. 355-366 | ||||||
|
||||||
 Descarcă PDF |
||||||
| Rezumat | ||||||
Matrix balancing may effect the stability of algorithms in matrix computations and the accuracy of computed solutions. In
this paper, we ¯rst introduce an algorithm for matrix balancing.
Then, using Monte Carlo method we propose a robust algorithm
to evaluate dominant eigenpair of a given matrix. Finally, several
randomly generated examples are presented to show the efficiency
of the new method. |
||||||
| Cuvinte-cheie Robust Monte Carlo algorithm, Eigenpair, Large scale matrices, Markov Chain, Balancing |
||||||
|
|
|
|
