division

Assembly Division [duplicate]

♀尐吖头ヾ 提交于 2019-11-28 04:56:02
问题 This question already has an answer here: Why should EDX be 0 before using the DIV instruction? 2 answers In my program, a hex number is divided by ten and the remainder is checked. First division is performed well; however, after the second division, the program goes wrong. I am new to assembly, and I couldn't find where the problem is... Here is the code segment: ORG 1000 MOV AX, 0x04B4 (1204 decimal value ) MOV BX, 0x000A ( 10 decimal value ) MOV CX, 0x0000 DIV BX ( After this part, AX is

Differences between Numpy divide and Python divide?

自作多情 提交于 2019-11-28 04:29:22
问题 What are the similarities and differences between numpy.divide and the Python slash / operator? As far as I can tell they behave the same, both implementing an element-wise division. The Numpy documentation mentions: numpy.divide(x1, x2) ... Equivalent to x1 / x2 in terms of array-broadcasting. ... Implying that np.divide(x1, x2) is not completely equivalent to x1 / x2. I have run the following snippet to compare their speed: import numpy as np import time a = np.random.rand(10000, 10000) b =

Why does this division result in zero?

为君一笑 提交于 2019-11-28 02:15:12
I was writing this code in C when I encountered the following problem. #include <stdio.h> int main() { int i=2; int j=3; int k,l; float a,b; k=i/j*j; l=j/i*i; a=i/j*j; b=j/i*i; printf("%d %d %f %f\n",k,l,a,b); return 0; } Can anyone tell me why the code is returning zero for the first and third variables ( k and a )? What I think you are experiencing is integer arithmetic . You correctly suppose l and b to be 2, but incorrectly assume that k and a will be 3 because it's the same operation. But it's not, it's integer arithmetic (rather than floating-point arithmetic). So when you do i / j

Why is this division not performed correctly?

我是研究僧i 提交于 2019-11-28 01:09:02
I've a strange issue in Python: the division is not performed correctly: print pointB[1] print pointA[1] print pointB[0] print pointA[0] print (pointB[1]-pointA[1]) / (pointB[0]-pointA[0]) These are the results: 100 50 100 40 0 thanks user225312 The above behavior is true for Python 2. The behavior of / was fixed in Python 3. In Python 2 you can use: from __future__ import division and then use / to get the result you desire. >>> 5 / 2 2 >>> from __future__ import division >>> 5 / 2 2.5 Since you are dividing two integers, you get the result as an integer. Or, change one of the numbers to a

Efficient computation of 2**64 / divisor via fast floating-point reciprocal

断了今生、忘了曾经 提交于 2019-11-27 23:15:23
问题 I am currently looking into ways of using the fast single-precision floating-point reciprocal capability of various modern processors to compute a starting approximation for a 64-bit unsigned integer division based on fixed-point Newton-Raphson iterations. It requires computation of 2 64 / divisor, as accurately as possible, where the initial approximation must be smaller than, or equal to, the mathematical result, based on the requirements of the following fixed-point iterations. This means

Division in Haskell

…衆ロ難τιáo~ 提交于 2019-11-27 22:01:40
问题 I'm making a function in Haskell that halves only the evens in a list and I am experiencing a problem. When I run the complier it complains that you can't perform division of an int and that I need a fractional int type declaration. I have tried changing the type declaration to float, but that just generated another error. I have included the function's code below and was hoping for any form of help. halfEvens :: [Int] -> [Int] halfEvens [] = [] halfEvens (x:xs) | odd x = halfEvens xs |

What is the fastest algorithm for division of crazy large integers?

我们两清 提交于 2019-11-27 21:43:50
问题 I need to divide numbers represented as digits in byte arrays with non standard amount of bytes. It maybe 5 bytes or 1 GB or more. Division should be done with numbers represented as byte arrays, without any conversions to numbers. 回答1: Divide-and-conquer division winds up being a whole lot faster than the schoolbook method for really big integers. GMP is a state-of-the-art big-number library. For just about everything, it has several implementations of different algorithms that are each

Python-style integer division & modulus in C

♀尐吖头ヾ 提交于 2019-11-27 21:10:11
In Python and Ruby, signed integer division truncates towards negative infinity, and signed integer modulus has the same sign the second operand: >>> (-41) / 3 -14 >>> (-41) % 3 1 However, in C and Java, signed integer division truncates towards 0, and signed integer modulus has the same sign as the first operand: printf("%d\n", (-41) / 3); /* prints "-13" */ printf("%d\n", (-41) % 3); /* prints "-2" */ What is the simplest and most efficient way in C to perform the same kind of division and modulus as in Python and Ruby? Ville Laurikari The direction for rounding with signed integer division

How to implement long division for enormous numbers (bignums)

和自甴很熟 提交于 2019-11-27 18:29:11
问题 I'm trying to implement long division for bignums. I can't use a library like GMP unfortunately due to the limitations of embedded programming. Besides, i want the intellectual exercise of learning how to implement it. So far i've got addition and multiplication done using any-length arrays of bytes (so each byte is like a base-256 digit). I'm just trying to get started on implementing division / modulus and i want to know where to start? I've found lots of highly-optimised (aka unreadable)

Divide the values of two dictionaries in python

不打扰是莪最后的温柔 提交于 2019-11-27 18:13:37
问题 I have two dictionaries with the same keys and I would like to do division on the values to update or create a new dictionary, keeping the keys intact, with the quotient as the new value for each of the keys. d1 = { 'a':12 , 'b':10 , 'c':2 } d2 = { 'a':0 , 'c':2 , 'b':5} d3 = d2 / d1 d3 = { 'a':0 , 'b':0.5 , 'c':1 } Aside from iterating through the key, value pairs and creating ordered lists of the values, then dividing, I'm not sure how to do this. I was hoping for a more elegant solution.