Multi-Precision Floats: Radix Conversion with Large Exponents

[UPDATE] bugfix in code listing
The method for the radix conversion of floating point numbers described more theoretically here and more practically here has one large drawback: albeit always correct it is abysmally slow for large magnitudes.

Is there a faster way to do it? Yes, there is! Continue reading

The Little programming language is in need of arbitrary precision floating point numbers, too. The necessary basics at least: addition; multiplication; division; roots; logarithm; an exponential function; and the three basic trigonometric function sin, cos, and tan; not to forget the constant $\pi$ computed to the current precision. More to come, of course, but these are the minimum for a comfortable environment.