Math-BigInt
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lib/Math/BigInt/Calc.pm view on Meta::CPAN
}
sub _nok {
# Return binomial coefficient (n over k).
# Given refs to arrays, return ref to array.
# First input argument is modified.
my ($c, $n, $k) = @_;
# If k > n/2, or, equivalently, 2*k > n, compute nok(n, k) as
# nok(n, n-k), to minimize the number if iterations in the loop.
{
my $twok = $c->_mul($c->_two(), $c->_copy($k)); # 2 * k
if ($c->_acmp($twok, $n) > 0) { # if 2*k > n
$k = $c->_sub($c->_copy($n), $k); # k = n - k
}
}
# Example:
#
lib/Math/BigInt/Lib.pm view on Meta::CPAN
$x = $class -> _mul($x, $pow2);
return $x;
}
sub _nok {
# Return binomial coefficient (n over k).
my ($class, $n, $k) = @_;
# If k > n/2, or, equivalently, 2*k > n, compute nok(n, k) as
# nok(n, n-k), to minimize the number if iterations in the loop.
{
my $twok = $class -> _mul($class -> _two(), $class -> _copy($k));
if ($class -> _acmp($twok, $n) > 0) {
$k = $class -> _sub($class -> _copy($n), $k);
}
}
# Example:
#
lib/Math/BigInt/Lib.pm view on Meta::CPAN
print "xm = $xm\n";
print "xe = $xe\n";
}
# If the mantissa is not an integer, round up to nearest integer, and then
# convert the number to a string. It is important to always round up due to
# how Newton's method behaves in this case. If the initial guess is too
# small, the next guess will be too large, after which every succeeding
# guess converges the correct value from above. Now, if the initial guess
# is too small and n is large, the next guess will be much too large and
# require a large number of iterations to get close to the solution.
# Because of this, we are likely to find the solution faster if we make
# sure the initial guess is not too small.
my $xm_int = int($xm);
my $x_str = sprintf '%.0f', $xm > $xm_int ? $xm_int + 1 : $xm_int;
$x_str .= "0" x $xe;
my $x = $class -> _new($x_str);
if ($DEBUG) {
lib/Math/BigRat.pm view on Meta::CPAN
# The accuracy, i.e., the number of digits. Pi has one digit before the
# dot, so a precision of 4 digits is equivalent to an accuracy of 5 digits.
my $n = defined $r[0] ? $r[0]
: defined $r[1] ? 1 - $r[1]
: $self -> div_scale();
# The algorithm below creates a fraction from a floating point number. The
# worst case is the number (1 + sqrt(5))/2 (golden ratio), which takes
# almost 2.4*N iterations to find a fraction that is accurate to N digits,
# i.e., the relative error is less than 10**(-N).
#
# This algorithm might be useful in general, so it should probably be moved
# out to a method of its own. XXX
my $max_iter = $n * 2.4;
my $x = Math::BigFloat -> bpi($n + 10);
my $tol = $class -> new("1/10") -> bpow("$n") -> bmul($x);
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