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1
vote
Determine machine epsilon
a) Correct!
b) This seems to be correct, but I have to say, this representation for exponents is very strange. A four digit exponent plus a sign bit lets you represent an exponent between $-1111_2$ t …
1
vote
Theoretical precision needed to get $n$-bits of the evaluation of some sum
I may be misunderstanding the question, but I don't think we have enough information to tell.
Consider, for example:
$$A = \left\{ \frac{1}{4}, \frac{1}{2}, \frac{3}{4} \right\}$$
and:
$$P(x) = \l …
4
votes
Accepted
How to represent zero as floating point number?
Note: In the interest of making this somewhat self-contained, I am using terminology from the most recent versions of the IEEE-754 standard. Prior to 2008, "subnormal numbers" were called "denormal nu …
19
votes
Is 2**x faster to compute than exp(x)?
Since this is CS and not Stackoverflow, I'm going to assume that you're asking a question about numeric analysis, and (to keep things simple) IEEE-754 floating point in particular. In that case, the a …
4
votes
Accepted
How can I compute logarithm when comparison is undecidable?
Even though absolute comparisons may not converge, you should be able to narrow the argument into at least one of several partially overlapping ranges, such that you have a technique that works in tha …
3
votes
Accepted
Precise algorithm for finding higher order derivatives
The first thing you should understand is why central differencing gives you a more precise solution.
Consider the Taylor expansion of $f$ around $x$:
$$f(x + h) = f(x) + h f'(x) + \frac{1}{2} h^2 f''( …