Integer square root
In number theory, the integer square root (isqrt) of a positive integer n is the positive integer m which is the greatest integer less than or equal to the square root of n,
For example, because and .
Contents
Algorithm[edit]
One way of calculating and is to use Newton's method to find a solution for the equation , giving the iterative formula
The sequence converges quadratically to as . It can be proven that if is chosen as the initial guess, one can stop as soon as
to ensure that
Using only integer division[edit]
For computing for very large integers n, one can use the quotient of Euclidean division for both of the division operations. This has the advantage of only using integers for each intermediate value, thus making the use of floating point representations of large numbers unnecessary. It is equivalent to using the iterative formula
By using the fact that
one can show that this will reach within a finite number of iterations.
However, is not necessarily a fixed point of the above iterative formula. Indeed, it can be shown that is a fixed point if and only if is not a perfect square. If is a perfect square, the sequence ends up in a period-two cycle between and instead of converging. For termination, it suffices to check that either the number has converged or it has increased by exactly one from the previous step, in which case the new result is discarded.
Using bitwise operations[edit]
With * being multiplication, << being left shift, and >> being logical right shift, a recursive algorithm to find the integer square root of any natural number is:
function integerSqrt(n):
if n < 0:
error "integerSqrt works for only nonnegative inputs"
else if n < 2:
return n
else:
smallCandidate = integerSqrt(n >> 2) << 1
largeCandidate = smallCandidate + 1
if largeCandidate*largeCandidate > n:
return smallCandidate
else:
return largeCandidate
Or, iteratively instead of recursively:
function integerSqrt(n):
if n < 0:
error "integerSqrt works for only nonnegative inputs"
# Find greatest shift.
shift = 2
nShifted = n >> shift
# We check for nShifted being n, since some implementations of logical right shifting shift modulo the word size.
while nShifted ≠ 0 and nShifted ≠ n:
shift = shift + 2
nShifted = n >> shift
shift = shift - 2
# Find digits of result.
result = 0
while shift ≥ 0:
result = result << 1
candidateResult = result + 1
if candidateResult*candidateResult ≤ n >> shift:
result = candidateResult
shift = shift - 2
return result
Domain of computation[edit]
Although is irrational for many , the sequence contains only rational terms when is rational. Thus, with this method it is unnecessary to exit the field of rational numbers in order to calculate , a fact which has some theoretical advantages.
Stopping criterion[edit]
One can prove that is the largest possible number for which the stopping criterion
ensures in the algorithm above.
In implementations which use number formats that cannot represent all rational numbers exactly (for example, floating point), a stopping constant less than one should be used to protect against roundoff errors.