numerical

Why do these division equations result in zero?

时光怂恿深爱的人放手 提交于 2019-11-26 11:55:52
The result of all of the division equations in the below for loop is 0. How can I get it to give me a decimal e.g.: 297 / 315 = 0.30793650793650793650793650793651 Code: using System; namespace TestDivide { class Program { static void Main(string[] args) { for (int i = 0; i <= 100; i++) { decimal result = i / 100; long result2 = i / 100; double result3 = i / 100; float result4 = i / 100; Console.WriteLine("{0}/{1}={2} ({3},{4},{5}, {6})", i, 100, i / 100, result, result2, result3, result4); } Console.ReadLine(); } } } Answer: Thanks Jon and everyone, this is what I wanted to do: using System;

Does JavaScript have double floating point number precision?

社会主义新天地 提交于 2019-11-26 09:46:59
问题 I know it\'s an odd question, but does JavaScript have the capacity to work with double\'s as opposed to single floats? (64 bit floats vs. 32 bits.) 回答1: All numbers in JavaScript are 64-bit floating point numbers. Ref: http://www.hunlock.com/blogs/The_Complete_Javascript_Number_Reference http://www.crockford.com/javascript/survey.html 回答2: According to the ECMA-262 specification (ECMAScript is the specification for Javascript), section 8.5: The Number type has exactly 18437736874454810627

python floating number [duplicate]

馋奶兔 提交于 2019-11-26 05:38:50
问题 This question already has an answer here: Is floating point math broken? 31 answers i am kind of confused why python add some additional decimal number in this case, please help to explain >>> mylist = [\"list item 1\", 2, 3.14] >>> print mylist [\'list item 1\', 2, 3.1400000000000001] 回答1: Floating point numbers are an approximation, they cannot store decimal numbers exactly. Because they try to represent a very large range of numbers in only 64 bits, they must approximate to some extent. It

How do I determine the standard deviation (stddev) of a set of values?

落花浮王杯 提交于 2019-11-26 04:10:12
问题 I need to know if a number compared to a set of numbers is outside of 1 stddev from the mean, etc.. 回答1: While the sum of squares algorithm works fine most of the time, it can cause big trouble if you are dealing with very large numbers. You basically may end up with a negative variance... Plus, don't never, ever, ever, compute a^2 as pow(a,2), a * a is almost certainly faster. By far the best way of computing a standard deviation is Welford's method. My C is very rusty, but it could look

What range of numbers can be represented in a 16-, 32- and 64-bit IEEE-754 systems?

て烟熏妆下的殇ゞ 提交于 2019-11-26 03:15:37
问题 I know a little bit about how floating-point numbers are represented, but not enough, I\'m afraid. The general question is: For a given precision (for my purposes, the number of accurate decimal places in base 10), what range of numbers can be represented for 16-, 32- and 64-bit IEEE-754 systems? Specifically, I\'m only interested in the range of 16-bit and 32-bit numbers accurate to +/-0.5 (the ones place) or +/- 0.0005 (the thousandths place). 回答1: For a given IEEE-754 floating point number