I want to write a function to calculate the square root of a s15.16 fixed point number. I know its a signed number with 15 digit int and 16 digit fraction. Is there anyway to do it without any libraries? Any other languages is fine too.
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I prefer Java but it doesn't matter – AliBZ Mar 02 '13 at 23:08
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1Out of curiosity, why are you working with a S15.16 in Java? Seems like you might be able to get away with BigDecimal depending on the situation? – Corbin Mar 03 '13 at 00:11
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The thing is I have to write a function to calculate the root of an s15.16 fixed point number. I don't know which language to use. It doesn't matter that much. – AliBZ Mar 03 '13 at 00:19
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Thanx for the tip, I just did. – AliBZ Mar 03 '13 at 01:02
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I would think the old plug&chug square root method would work. Though virtually all standard algorithms use an approximation technique such as Newton's Method (and I recall having that as a class assignment in Programming 101, so it's not that difficult to implement). – Hot Licks Mar 03 '13 at 01:11
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what is the old plug&chug square root method? – AliBZ Mar 03 '13 at 01:20
2 Answers
I assume you are asking this question because the platform you are on does not provide floating-point, otherwise you can implement 15.16 fixed-point square root via the floating-point square root as follows (this is C code, I assume Java code will look very similar):
int x, r;
r = (int)(sqrt (x / 65536.0) * 65536.0 + 0.5);
If your target platform provides a fast integer multiply (in particular, either a multiply with double-width result or a multiply-high instruction), and you can spare some memory for a small table, use of Newton-Raphson iterations plus a table-based starting approximation is typically the way to go. Typically, one approximates the reciprocal square root because it has a more convenient NR iteration. This gives rsqrt(x) = 1 / sqrt(x). By multiplying it with x one then gets the square root, i.e. sqrt(x) = rsqrt(x) * x. The following code shows how to compute a correctly rounded 16.16 fixed-point square root in this fashion (since the argument to the square root must be positive, this works just as well for s15.16 fixed-point). Rounding is performed by minimizing the residual x - sqrt(x)*sqrt(x).
I apologize that the square root function itself is 32-bit x86 inline assembly code but I last needed this about 10 years ago and this is all I have. I hope you can extract relevant operations from the fairly extensive comments. I included the generation of the table for the starting approximation as well as a test framework that tests the function exhaustively.
#include <stdlib.h>
#include <math.h>
unsigned int tab[96];
__declspec(naked) unsigned int __stdcall fxsqrt (unsigned int x)
{
__asm {
mov edx, [esp + 4] ;// x
mov ecx, 31 ;// 31
bsr eax, edx ;// bsr(x)
jz $done ;// if (!x) return x, avoid out-of-bounds access
push ebx ;// save per calling convention
push esi ;// save per calling convention
sub ecx, eax ;// leading zeros = lz = 31 - bsr(x)
// compute table index
and ecx, 0xfffffffe ;// lz & 0xfffffffe
shl edx, cl ;// z = x << (lz & 0xfffffffe)
mov esi, edx ;// z
mov eax, edx ;// z
shr edx, 25 ;// z >> 25
// retrieve initial approximation from table
mov edx, [tab+4*edx-128];// r = tab[(z >> 25) - 32]
// first Newton-Raphson iteration
lea ebx, [edx*2+edx] ;// 3 * r
mul edx ;// f = (((unsigned __int64)z) * r) >> 32
mov eax, esi ;// z
shl ebx, 22 ;// r = (3 * r) << 22
sub ebx, edx ;// r = r - f
// second Newton-Raphson iteration
mul ebx ;// prod = ((unsigned __int64)r) * z
mov eax, edx ;// s = prod >> 32
mul ebx ;// prod = ((unsigned __int64)r) * s
mov eax, 0x30000000 ;// 0x30000000
sub eax, edx ;// s = 0x30000000 - (prod >> 32)
mul ebx ;// prod = ((unsigned __int64)r) * s
mov eax, edx ;// r = prod >> 32
mul esi ;// prod = ((unsigned __int64)r) * z;
pop esi ;// restore per calling convention
pop ebx ;// restore per calling convention
mov eax, [esp + 4] ;// x
shl eax, 17 ;// x << 17
// denormalize
shr ecx, 1 ;// lz >> 1
shr edx, 3 ;// r = (unsigned)(prod >> 32); r >> 3
shr edx, cl ;// r = (r >> (lz >> 1)) >> 3
// round to nearest; remainder can be negative
lea ecx, [edx+edx] ;// 2*r
imul ecx, edx ;// 2*r*r
sub eax, ecx ;// rem = (x << 17) - (2*r*r))
lea ecx, [edx+edx+1] ;// 2*r+1
cmp ecx, eax ;// ((int)(2*r+1)) < rem))
lea ecx, [edx+1] ;// r++
cmovl edx, ecx ;// if (((int)(2*r+1)) < rem) r++
$done:
mov eax, edx ;// result in EAX per calling convention
ret 4 ;// pop function argument and return
}
}
int main (void)
{
unsigned int i, r;
// build table of reciprocal square roots and their (rounded) cubes
for (i = 0; i < 96; i++) {
r = (unsigned int)(sqrt (1.0 / (1.0 + (i + 0.5) / 32.0)) * 256.0 + 0.5);
tab[i] = ((r * r * r + 4) & 0x00ffffff8) * 256 + r;
}
// exhaustive test of 16.16 fixed-point square root
i = 0;
do {
r = (unsigned int)(sqrt (i / 65536.0) * 65536.0 + 0.5);
if (r != fxsqrt (i)) {
printf ("error @ %08x: ref = %08x res=%08x\n", i, r, fxsqrt (i));
break;
}
i++;
} while (i);
}

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Use your favourite integer square root algorithm, with the simple observation that √(2-16a) = 2-8√a.