This question already has answers here: Closed 12 years ago. Possible Duplicates: Why is floating point arithmetic in C# imprecise?
I\'ve been going through a Haskell tutorial recently and noticed this behaviour when trying some simple Haskell expressions in the interactive ghci shell:
I\'m trying to construct an algorithm that validates that a double value is a member of a range defined with min, max and step values. The problem is checking that the value obeys the step rule. For i
This is in reference to the comments in this question: This code in Java produces 12.100000000000001 and this is using 64-bit doubles which can present 12.1 exactly. – Pyrolistical
This is more of a numerical analysis rather than programming question, but I suppose some of you will be able to answer it.
>>> float(str(0.65000000000000002)) 0.6开发者_如何学运维5000000000000002 >>> float(str(0.47000000000000003))
let us say I have have polynomial in x, divided by a power of x: p = (a + x(b + x(c + ..)))/(x**n) efficiency aside, which would be more accurate computation numerically, the abo开发者_开发技巧ve o
Consider the following code: 0.1 + 0.2 == 0.3->false 0.1 + 0.2->0.30000000000000004 Why do these i开发者_如何学JAVAnaccuracies happen?Binary floating point math is like this. In most progr
I tried the following computation in python: >>> 12.2 / 0.2 60.99999999999999 it\'s obviously that i开发者_如何学JAVAt didn\'t return the exact answer.
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