largenumber

How to Code a Solution To Deal With Large Numbers?

由 こ雲淡風輕ζ 提交于 2019-11-27 02:13:48
问题 I'm doing some Project Euler problems and most of the time, the computations involve large numbers beyond int, float, double etc. Firstly, I know that I should be looking for more efficient ways of calculation so as to avoid the large number problem. I've heard of the Bignum libraries. But, for academics interests, I'd like to know how to code my own solution to this problem. Can any expert please help me out? (My language is C) 回答1: You need to store the big numbers in a base that your

Algorithm for dividing very large numbers

由 ♀尐吖头ヾ 提交于 2019-11-26 23:09:56
问题 I need to write an algorithm(I cannot use any 3rd party library, because this is an assignment) to divide(integer division, floating parts are not important) very large numbers like 100 - 1000 digits. I found http://en.wikipedia.org/wiki/Fourier_division algorithm but I don't know if it's the right way to go. Do you have any suggestions? 1) check divisior < dividend, otherwise it's zero (because it will be an int division) 2) start from the left 3) get equal portion of digits from the

Find factorial of large numbers in Java

由 久未见 提交于 2019-11-26 23:05:24
问题 I tried to find the factorial of a large number e.g. 8785856 in a typical way using for-loop and double data type. But it is displaying infinity as the result, may be because it is exceeding its limit. So please guide me the way to find the factorial of a very large number. My code: class abc { public static void main (String[]args) { double fact=1; for(int i=1;i<=8785856;i++) { fact=fact*i; } System.out.println(fact); } } Output:- Infinity I am new to Java but have learned some concepts of

How to work with large numbers in R?

由 亡梦爱人 提交于 2019-11-26 19:08:28
I would like to change the precision in a calculation of R. For example I would like to calculate x^6 with x = c(-2.5e+59, -5.6e+60) . In order to calculate it I should change the precision in R, otherwise the result is Inf , and I don't know how to do it. As Livius points out in his comment, this is an issue with R (and in fact, most programming language), with how numbers are represented in binary. To work with extremely large/small floating point numbers, you can use the Rmpfr library: install.packages("Rmpfr") library("Rmpfr") x <- c(-2.5e+59, -5.6e+60) y <- mpfr(x, 6) # the second number

working with incredibly large numbers in .NET

由 大城市里の小女人 提交于 2019-11-26 18:57:58
I'm trying to work through the problems on projecteuler.net but I keep running into a couple of problems. The first is a question of storing large quanities of elements in a List<t> . I keep getting OutOfMemoryException's when storing large quantities in the list. Now I admit I might not be doing these things in the best way but, is there some way of defining how much memory the app can consume? It usually crashes when I get abour 100,000,000 elements :S Secondly, some of the questions require the addition of massive numbers. I use ulong data type where I think the number is going to get super

BigInteger equivalent in Swift?

由 烈酒焚心 提交于 2019-11-26 14:41:13
Is there an equivalent to Java's BigInteger class in Swift? I am tying to do large calculations in Swift with positive integers larger than UInt64's maximum number. What is the best way to handle these numbers? iOS-Coder I'm also working on a BigNumber library with which you can do some big number calculations. Actually the library is based on the GNU Multiple Precision (GMP) library and I wrote an Objective-C / Swift wrapper. Currently big integer mathematics, including a lot of operator overloading, is possible. A code example goes like: var err : NSError? var bi1 = BigInt(nr:

Multiplying a huge number times random() (Python)

由 心不动则不痛 提交于 2019-11-26 11:39:46
问题 Problem: Generate large binary strings (length 2000+). Do it quickly, as this generateRandom() function will be called 300,000 times in the algorithm. Attempted Solutions: Generate 3 or 4 binary numbers and append them all together 500 times. This is awfully slow. Make a single call to random.random() and multiply it by a huge number. Convert to binary once and be done. This works for smaller numbers, but because the binary string must be a certain length, the number to convert to binary must

BigInteger equivalent in Swift?

由 感情迁移 提交于 2019-11-26 08:52:33
问题 Is there an equivalent to Java\'s BigInteger class in Swift? I am tying to do large calculations in Swift with positive integers larger than UInt64\'s maximum number. What is the best way to handle these numbers? 回答1: I'm also working on a BigNumber library with which you can do some big number calculations. Actually the library is based on the GNU Multiple Precision (GMP) library and I wrote an Objective-C / Swift wrapper. Currently big integer mathematics, including a lot of operator

Handling large numbers in C++?

由 北城以北 提交于 2019-11-26 04:50:57
What is the best way to handle large numeric inputs in C++ (for example 10^100 )? For algorithms I usually switch over to ruby and I sometimes use strings. Any other good methods? hometoast It sounds like you're looking for a way to enter Arbitrary Precision numbers. here are two libraries you could use: GMP and MAPM Check out The Large Integer Case Study in C++.pdf by Owen Astrachan. I found this file extremely useful with detail introduction and code implementation. It doesn't use any 3rd-party library. I have used this to handle huge numbers (as long as you have enough memory to store

Big integers in C#

由 筅森魡賤 提交于 2019-11-26 01:43:29
问题 Currently I am borrowing java.math.BigInteger from the J# libraries as described here. Having never used a library for working with large integers before, this seems slow, on the order of 10 times slower, even for ulong length numbers. Does anyone have any better (preferably free) libraries, or is this level of performance normal? 回答1: As of .NET 4.0 you can use the System.Numerics.BigInteger class. See documentation here: http://msdn.microsoft.com/en-us/library/system.numerics.biginteger(v
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