Name
Title | ||
|---|---|---|
A Linear Decomposition of Index Generation Functions: Optimization Using Autocorrelation Functions. |
Abstract | ||
|---|---|---|
This paper shows that autocorrelation functions are useful to find a decomposition of an index generation functions: F(x1, x2,..., x(n)) = G(y1, y2,..., yp), where y(j) (j = 1, 2,..., p) are linear functions of x1, x2,... x(n-1), and xn. It also shows a strategy to reduce the number of variables p to represent F(x1, x2,..., x(n)) using an autocorrelation functions. |
Year | Venue | Field |
|---|---|---|
2017 | JOURNAL OF MULTIPLE-VALUED LOGIC AND SOFT COMPUTING | Mathematical optimization,Autocorrelation technique,Computer science,Autocorrelation matrix,Decomposition,Autocorrelation |
DocType | Volume | Issue |
Journal | 28 | SP1 |
ISSN | Citations | PageRank |
1542-3980 | 2 | 0.37 |
References | Authors | |
0 | 1 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Tsutomu Sasao | 1 | 1083 | 141.62 |