Way 2: Just a variant of way 1,
with data as (select level levels from dual
connect by level <= &how_may_rows)
select f from data
model dimension by (levels)
measures ( 0 f)
rules ( f[1] = 0 , f[2] = 1 , f[levels>2]=f[cv(levels)-2]+f[cv(levels)-1]
);
Enter value for how_may_rows: 10
old 2: connect by level <= &how_may_rows)
new 2: connect by level <= 10)
F
----------
0
1
1
2
3
5
8
13
21
34
10 rows selected.
SQL> select s seq from dualWay 3: Using Math Formula
model return all rows
dimension by ( 0 d ) measures ( 0 s )
rules iterate (&n) (
s[iteration_number ] = decode(
iteration_number, 0, 0, 1, 1, s[iteration_number-2]
) + nvl(s[iteration_number-1],0)
)
/
Enter value for n: 8
old 4: rules iterate (&n) (
new 4: rules iterate (8) (
SEQ
----------
0
1
1
2
3
5
8
13
8 rows selected.
SQL> select round ((power ((1 + sqrt (5)) / 2, level - 1) - power ((1 - sqrt (5)) / 2, level - 1)) / sqrt (5)) fibRelated Documents
from dual
connect by level <=&n;
Enter value for n: 8
old 3: connect by level <=&n
new 3: connect by level <=8
FIB
----------
0
1
1
2
3
5
8
13
8 rows selected.
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