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I am working on a bignum library and have been checking out some of the functions. I would like to know it the times I am seeing are good, bad, or indifferent.
To test big numbers, I used the RSA challenge file.
The times are in seconds and hundredths.
The initialize time is setting high priority and allocating all of virtual memory.
The read and split time is the time to read the file (one time) and tokenize it.
The edit time is for deleting unneeded lines in the file.
To get any difference in time between the different RSA instances, I had to loop 100,000 times to get different time values for the different instances (as you can see, the read/split time and the edit time are the default .01 second), thus those times are listed as 100K*xxx, i.e. "RSA2048 100K*DTB conversion time: 2.06" means 20.6 microseconds for any single loop.
A single RSA instance includes the following data which is verified during the conversion (the first RSA instance is used as this example):
RSA576
Status: Factored
Decimal Digits: 174
18819881292060796383869723946165043980716356337941
73827007633564229888597152346654853190606065047430
45317388011303396716199692321205734031879550656996
221305168759307650257059
Decimal Digit Sum: 785
The edit deletes the blank lines and the Status line. The initialize, read, and edit are only done one time.
The conversion time for each RSA instance includes validating that only decimal digits are present in the data, and that there the correct number of digits, and that the digit sum matches. I load the number as a radix 10 value and convert it to binary, and verify that the result has the correct number of bits. I save this binary value over the decimal digits so I can load it later without conversion. I also load this binary value to insure correct operation with radix 1. Each RSA instance is processed 100,000 times and then the time is calculated.
The SQRT times include loading the binary value and taking the SQRT and getting its remainder, and then squaring the SQRT and adding the remainder and comparing the result with the RSA instance value. Each RSA instance is processed 100,000 times and then the time is calculated.
With all of the above operations as described, are the times at all reasonable, i.e. 20.6 microseconds for DTB conversion and validation of a 2048 bit binary number and 63.6 microseconds to load and take the SQRT and validate (SQRT**2 + remainder == semi prime) for the 2048 bit binary value?
Dave.
Time to initialize: 0.06
Time to read and split RSA.TXT: 0.01
Time to edit RSA.TXT: 0.01
RSA576 100K*DTB conversion time: 0.49
RSA640 100K*DTB conversion time: 0.56
RSA704 100K*DTB conversion time: 0.59
RSA768 100K*DTB conversion time: 0.79
RSA896 100K*DTB conversion time: 0.98
RSA1024 100K*DTB conversion time: 1.13
RSA1536 100K*DTB conversion time: 1.54
RSA2048 100K*DTB conversion time: 2.06
Time to DTB convert 100K*RSA.TXT: 8.34
RSA576 SQRT Time  100k*RSA.TXT: 1.46
RSA640 SQRT Time  100k*RSA.TXT: 2.51
RSA704 SQRT Time  100k*RSA.TXT: 2.71
RSA768 SQRT Time  100k*RSA.TXT: 2.12
RSA896 SQRT Time  100k*RSA.TXT: 2.40
RSA1024 SQRT Time  100k*RSA.TXT: 2.80
RSA1536 SQRT Time  100k*RSA.TXT: 5.69
RSA2048 SQRT Time  100k*RSA.TXT: 6.36






PIEBALDconsult wrote: You don't mean a big integer class?
No, I prefer to roll my own, only my functions process only positive integers. I do not use C++ or .NET, I am a MASM(5,6,7,8,9) programmer. OBTW, I read the class documentation but could not find a SQRT function, did I miss it somewhere?
If you are interested, I can email you the RSA.txt file (if you do not already have it) and you could implement and test the SQRT function and report the timings from the big integer class. My timings were taken on an HP Pavilion dv76c23cl  6GB memory, quad AMD, 2.5GHz, 32 bit assembly, console application.
What I was looking for was anyone's WAG about how long the square roots of 576 bit to 2048 bit integers should take.
Dave.





hello all,
first of all escuse me for my English.
I am looking for help at the following problem:
at my final project for Bsc i get data and need to decide if a threshold had been crossed (tha data IS NOT BOOLEAN.. i get data about the velocity of an object)
the deffinition : if i get that for 1sec at least the given data is above threshold  It has been crossed.
it ofcourse complicated beacuse i need to filter "noise".
i thought to use "ALPHA FILTER" or "X/Y decision" or "Avarege" and other.. but i am sure that someone did a these on that and there is a proven algorythm to handle it.
thanks for all yours replies
sincerely yours,
sia





Need a lot more detail. What programming language? Where are you stuck exactly?
There are only 10 types of people in the world, those who understand binary and those who don't.





Hello everyone.
I'm looking for an algorithm to track the numbers at least duplicate content in a twodimensional array to draw complex objects composed of rectangles, squares, triangles, hexagons, etc.
The constraints are:
 I require at least how many numbers should not be duplicated
 The vertices of the objects must contain at least duplicate numbers except those required
 Objects should be placed symmetrically
An example here:
example
In the example you can see duplicate values 0,10,15,18,19,25*,35,45,50 and the three individual numbers. * shared between two objects
The numbers 16,27,46 are the three numbers that I requested unduplicated
Course can be traced different combinations of objects that match the given condition.
They are looking for a fast algorithm. I have processing times biblical!
Thank you in advance





I have been working with C# using the FlickrNET API in order to create a slideshow that shows images from Flickr based on a single word search term.
This has been easy enough to implement thus far but the images shown on the slideshow are sometimes repetitive i.e. they show 10 of the same thing taken at a different angle by a single user.
As I am a bit of a newby to coding more generally I was looking for general advice or pointers on the best way to randomize these images according to their other related tags. So one way this might work is if someone searched "London" it could show everything with the tag "London" but use the other tags to organize the images so they are more diverse.





for example:
9 = 1001 in binary so the function GetNumOfBinary(9) = 2.
I know I can do it in o(n) (time) by convert it to binary and exam digit by digit.
I've been told I can do it using space as much as I need.
How can I do it? (it's seems impossible because I need to check every digit, doesn't matter which way I do it and it'll be still o(n))





Read this  http://en.wikipedia.org/wiki/Hamming_weight[^]
I'm not questioning your powers of observation; I'm merely remarking upon the paradox of asking a masked man who he is. (V)
תפסיק לספר לה' כמה הצרות שלך גדולות, תספר לצרות שלך כמה ה' גדול!





Thank you for the answer. This is the answer I was looking for.
Thank for the other for the answers.





There are several algorithms listed here[^]. For a 32bit integer, you probably want "Counting bits set, in parallel[^]":
int CountBitsSet(int v)
{
v = v  ((v >> 1) & 0x55555555); v = (v & 0x33333333) + ((v >> 2) & 0x33333333); return ((v + (v >> 4) & 0xF0F0F0F) * 0x1010101) >> 24;
}
Just don't ask me to explain how it works!
"These people looked deep within my soul and assigned me a number based on the order in which I joined."
 Homer





Richard Deeming wrote: Just don't ask me to explain how it works! How, how indeed...http://en.wikipedia.org/wiki/Hamming_weight[^]
I'm not questioning your powers of observation; I'm merely remarking upon the paradox of asking a masked man who he is. (V)
תפסיק לספר לה' כמה הצרות שלך גדולות, תספר לצרות שלך כמה ה' גדול!





It first sums pairs of adjacent bits, then it sums the groups of 2, then the same thing with the nibbles, and finally it cheats and sums the bytes with a multiplication.





if you're using c++ gcc  __builtin_popcount





Member 11055093 wrote: I've been told I can do it using space as much as I need.
Fastest way with unlimited space would be a lookup table.





It depends on your abstract model. With the usual model, you can't do any better than O(n) (so o(n) is not happening, or did you write a lower case o by accident?)  obviously on a plain old Turing machine, you're going to have to read every bit.
But this problem is in NC. You could sum n/2 pairs of bits, then n/4 pairs of "2bit numbers", n/8 pairs of nibbles, etc, and you're done in log n steps, with each step taking logarithmic time too (adders) (sometimes not counted), all with a polynomial number of processing elements.
Similarly in "broadword computing", you would say that you could compute this in O(log n) broadword steps  using the same construction, but now every layer is a couple of steps (mask and add) (with the addition counted as 1 step, instead of as a circuit of depth O(log n))
Practically, on 32bit words but "pretending 32 is not a constant", you can still use the same construction for an O(log n) algorithm possibly with a multiplication trick to do several sums at once (already shown in answers) or lookup tables or (with as much space as you need, you could cheat terribly and compute any mapping from 32bit integers to anything in a single step), if available, the popcnt instruction.
For arrays you could use a pshufbbased trick[^] (pshufb is awesome).





I am new here, i have not found a link for Python,so i figured i'd ask any way.
I am trying to come up with an algorithm where you have several xaxis points like d = [5, 3.5, 2.8, 0.6, 1.2, 3.4, 5.6]
and where you prompt the user to enter a certain point, the program should give the closest point to the entered value by the user.
Thank you.





This is nothing to do with Python, or any other language. It's a simple matter of sorting the intial values into order and then searching for the two points closest to the one entered by the user. Could be speeded up by binary chop (Google for that).





I know about the sorting part,i don't need to Google it, iam looking for the acquisition part(capture that nearest number) maybe you can enlighten me.





I suggested a solution in my previous reply.





You can lead a horse to water...





I think Richard was suggesting that you google "Binary chop" not sorting.
Try a search of "python binary search closest value"  the first hit that came up for me (in Google) was an answer to the same homework question





