Re: why float

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Waaaay back in my university days, in my Numerical Analysis course, I
remember one example in which using doubles everywhere (the obvious
solution) actually increased error and gave a less precise answer than
judicious application of floats in the right places.
<snip>

That is unlikely. A double *is* a float with more precision. So it will
always be as precise or more precise than a flaot is. Answers given in the
line of "32 bit is favored" are platform-dependenpt and not realy
convincing. Why is there a fundamental type 'float' and a fundamental type
'double' that both do the same thing? When to use the one, when to use the
other?


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Relevant Pages

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