Performance problems with new Java Tiger style recommendations

Performance problems with jdk 1.5 on Linux plattform
(not tested on Windows, might be the same)
using the new style recommendations.
I need fast Vector loops for high speed mathematical calculations, some
hints about the fastest way to program that loop would be also great!
After refactoring using the new features from java 1.5 (as recommended from
SUN) I lost performance significantly:
using a vector:
public Vector<unit> units;
The new code (recommended from SUN for Java Tiger for redesign):
for (unit u: units) u.accumulate();
runs more than 30% slower than the old code:
for (int i = 0; i < units.size(); i++) units.elementAt(i).accumulate();
I expected the opposite.
Is there any information available that helps?
The following additional information I got from Mr. Shankar Unni:
I got some fairly anomalous results comparing ArrayList and Vector: for the
1.5-style loops, ArrayList was faster then Vector, but for a loop with get()
calls, Vector was faster. Vector was even faster than that using
elementAt(), which was a surprise:
For a million summing iterations over a 100-element array:
vector elementAt loop took 3446 ms.
vector get loop took 3796 ms.
vector iterator loop took 5469 ms.
arraylist get loop took 4136 ms.
arraylist iterator loop took 4668 ms.

If your topic doesn't change, please stay in your original post.

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    Performance problems with jdk 1.5 on Linux plattform
    (not tested on Windows, might be the same)
    After refactoring using the new features from java 1.5 I lost
    performance significantly:
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