I ran it in Debug mode which should turn off most optimizations. I ran the loop 
100 times and then 200 times. The latter took almost exactly twice the time as 
the former. The results are saved in instance variables of the C++ class this 
belongs to.


On Aug 8, 2013, at 12:06 PM, Sandy McGuffog <[email protected]> wrote:

> Be careful using that code as a test; a good optimizing compiler could pick 
> up that sin is a library function without side effects, and no result is 
> saved, and optimize that loop to two calls to adjustValueRadians. 
> 
> Sandy
> 
> On Aug 8, 2013, at 8:17 PM, Thomas Wetmore <[email protected]> wrote:
> 
>> David,
>> 
>> Those are lightening speeds. So I agree with you wholeheartedly -- there is 
>> no sense in working on a custom table-driven approach. The current approach 
>> must already be table-based with speeds like that.
>> 
>> Tom Wetmore
>> 
>> 
>> On Aug 8, 2013, at 1:26 PM, David Rowland <[email protected]> wrote:
>> 
>>> I wrote an app that calculates the positions of Sun and Moon and other 
>>> information as well. The heart of the Moon calculation is this. I added a 
>>> loop around it and called a stopwatch at the beginning and end.
>>> 
>>> startTime();
>>> for (int jj = 0; jj<100;++jj)
>>> {
>>> //in radians
>>> double lambda = 3.81040282295402 + 8399.70910754626 * T
>>> + 0.109781209950443 * sin(adjustValueRadians(2.35619449019234 + 
>>> 8328.69146829639 * T))
>>> - 0.022165681500328 * sin(adjustValueRadians(4.5256387504213 - 
>>> 7214.06294691607 * T))
>>> 
>>> One hundred times through this loop, on my iPhone 5, took about 0.0028 
>>> seconds. Two hundred times took about 0.0056 sec.
>>> 
>>> I infer that one pass takes about 0.000028 seconds, or 28.0 microseconds.
>>> 
>>> The functions are probably very carefully written and could not be improved 
>>> by table lookups, vector libraries, etc. That is barking up the wrong tree. 
>>> 
>>> David
>> 
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