multiplication

I have to write a program that will simulate floating point multiplication. For this program, we assume that a single precision floating point number is stored in unsigned long a . I have to multiply the number stored in a by 2 using only the following operators: << >> | & ~ ^ I understand the functions of these operators, but I'm confused on the logic of how to go about implementing this. Any help would be greatly appreciated. have to multiply the number stored in a by 2 using only the following operators: << >> | & ~ ^ since we are given an unsigned long to simulate a float value with a

Suppose I have a vector c(1, 2, 3, 4) with no duplicated values. I need a vector c(1 * 2, 1 * 3, 1 * 4, 2 * 3, 2 * 4, 3 * 4) , so the multiplication is done in all possible combinations of this vector's values. Is there a way of doing that? Thanks in advance! We can use combn with anonymous function call combn(vec, 2, FUN = function(x) x[1] * x[2]) #[1] 2 3 4 6 8 12 data vec <- 1:4 This is fun enough. I thought combn(1:4, 2, "*") would be the simplest solution but it actually does not work. We have to use combn(1:4, 2, prod) as Onyambu commented . The issue is: in an "N choose K" setting, FUN

I want to multiply all elements in a numpy array. If there's an array like [1,2,3,4,5] , I want to get value of 1*2*3*4*5 . I tried this by making my own method, but size of array is very large, it takes very longs time to calculate because I'm using numpy it would be helpful if numpy supports this operation. I tried to find out through numpy documents, but I failed. Is there a method which does this operation? If there is, is there a way to get values along a rank in an matrix? Wasi Ahmad I believe what you need is, numpy.prod. From the documentation : Examples By default, calculate the

What is the guaranteed accuracy of multiplication operator for double values in java? For example, 2.2 * 100 is 220.00000000000003, but 220 is a double number. 220.00000000000003 is the next double after 220. The multiplication is working fine, but 2.2 cannot be represented exactly as a double. The closest doubles are: 2.199999999999999733 (0x4001999999999999) 2.200000000000000177 (0x400199999999999a) Some software will print the latter value as 2.2 , but that doesn't mean it's exact. It just means it's treated as "close enough". If you are working with financials data dont use float or double

This is a homework problem which I tried to solve by myself but I couldn't. The homework is to implement a circuit that multiplies two binary numbers by using right shifting. I don't have any problems with Verilog, my only problem is how to conclude the algorithm so I can implement it by myself. Example multiplies. Note 4 bit adder produces a 5 bit sum (top bit is carry). Input to adder is multiplicand plus bits 3 to 6 of product register, the sum including carry, goes to bits 3 to 7 of product register. multiplicand 1100, multiplier 0101 7 6 5 4 3 2 1 0 product bit index 0 0 0 0 0 1 0 1

I have 4 tables here, I need to multiply newly entered row value in a table with another row and find the total sum using CustomerId : CustomerTable : CustomerId Name EmailId ------------------------- 1 Paul r@r.com 2 John J@j.com LoyaltyPointTable : LoyaltyPointsId LoyaltyType Points --------------------------------------- 1 Registration 10 2 Loginstatus 1 3 Downloading 10 4 Redemming 1 5 Sharing 20 6 Refer 10 LoyaltyDetailsTable : LoyaltyDetailsId LoyaltyPointsId CustomerId Dates ------------------------------------------------- 1 1 1 2015-01-22 2 2 1 2015-01-22 3 3 2 2015-01-22 4 3 1 2015