Report Builder Expressions Help Sum three fields then divide by 5 - expression

I currently have three columns in report builder that look like this.
PU PI LO Total SUM
0 13 31 44
The Total Sum column is an expression that sums the first three columns with =Fields!Put_Away.Value+Fields!Picked.Value+Fields!Loaded.Value. I now want to create one more column that grabs the sum of of those three fields and divides it by 5. How do I do this? I tried =Fields!PU.Value+Fields!PI.Value+Fields!LO.Value/5 but it gives me 19.2 as the result of the example above.

You need to use brackets.
Currently you are doing =Fields!Put_Away.Value+Fields!Picked.Value+Fields!Loaded.Value/5, which converts to 0 + 13 + 31 / 5, or if we include the inferred brackets, 0 + 13 + (31/5).
You want =(Fields!Put_Away.Value+Fields!Picked.Value+Fields!Loaded.Value)/5, which becomes (0 + 13 + 31)/5

Related

Calculate index for number combinations

I have a vector that includes a value for every possible combination of two numbers out of a bigger group of n numbers (from 0 to (n-1)), excluding combinations where both numbers are the same.
For instance, if n = 4, combinations will be the ones shown in columns number1 and number2.
number1 number2 vector-index value
0 1 0 3
0 2 1 98
0 3 2 0
1 0 3 44
1 2 4 6
1 3 5 3
2 0 6 2
2 1 7 43
2 3 8 23
3 0 9 11
3 1 10 54
3 2 11 7
There are always n*(n-1) combinations and therefore that is the number of elements in the vector (12 elements in the example above).
Problem
In order to access the values in the vector I need a expression that allows me to figure out the corresponding index number for every combination.
If combinations where number1=number2 were included, the index number could be figured our using:
index = number1*(n-1)+number2
This question is related but includes also combinations where number1=number2.
Is there any expression to calculate the index in this case?
First, notice that all the pairs can be grouped into blocks of size (n-1), where n is the number of different indices. This means that given a pair (i, j), the index of the block containing it will be i(n-1). Within that block the indices are laid out sequentially, skipping over index i. If j < i, then we just look j steps past the start of the block. Otherwise, we look j-1 steps past it. Overall this gives the formula
int index = i * (n - 1) + (j < i? j : j - 1);
Note that the only difference is when number2 is greater than number1, when this happens a value from number2 sequence was skipped, so you will need to decrease the count, something like this:
index = number1 * (n - 1) + number2 - (number2 > number1 ? 1 : 0)

MATLAB: finding a row index in a matrix

I have a matrix and I want to find the maximum value in each column, then find the index of the row of that maximum value.
A = magic(5)
A =
17 24 1 8 15
23 5 7 14 16
4 6 13 20 22
10 12 19 21 3
11 18 25 2 9
[~,colind] = max(max(A))
colind =
3
returns colind as the column index that contains the maximum value. If you want the row:
[~,rowind] = max(A);
max(rowind)
ans =
5
You can use a fairly simple code to do this.
MaximumVal=0
for i= i:length(array)
if MaximumVal>array(i)
MaximumVal=array(i);
Indicies=i;
end
end
MaximumVal
Indicies
Another way to do this would be to use find. You can output the row and column of the maximum element immediately without invoking max twice as per your question. As such, do this:
%// Define your matrix
A = ...;
% Find row and column location of where the maximum value is
[maxrow,maxcol] = find(A == max(A(:)));
Also, take note that if you have multiple values that share the same maximum, this will output all of the rows and columns in your matrix that share this maximum, so it isn't just limited to one row and column as what max will do.

Matlab best match of a sequence within a matrix

I want to find the best match of a sequence of integers within a NxN matrix. The problem is that I don't know how to extract the position of this best match. The following code that I have should calculate the edit distance but I would like to know where in my grid that edit distance is shortest!
function res = searchWordDistance(word,grid)
% wordsize = length(word); % extract the actual size
% [x ,y] = find(word(1) == grid);
D(1,1,1)=0;
for i=2:length(word)+1
D(i,1,1) = D(i-1,1,1)+1;
end
for j=2:length(grid)
D(1,1,j) = D(1,1,j-1)+1;
D(1,j,1) = D(1,j-1,1)+1;
end
% inspect the grid for best match
for i=2:length(word)
for j=2:length(grid)
for z=2:length(grid)
if(word(i-1)==grid(j-1,z-1))
d = 0;
else
d=1;
end
c1=D(i-1,j-1,z-1)+d;
c2=D(i-1,j,z)+1;
c3=D(i,j-1,z-1)+1;
D(i,j,z) = min([c1 c2 c3]);
end
end
end
I have used this code (in one less dimension) to compare two strings.
EDIT Using a 5x5 matrix as example
15 17 19 20 22
14 8 1 15 24
11 4 17 3 2
14 2 1 14 8
19 23 5 1 22
now If I have a sequence [4,1,1] and [15,14,12,14] they should be found using the algorithm. The first one is a perfect match(diagonal starts at (3,2)). The second one is on the first column and is the closest match for that sequence since only one number is wrong.

Consolidate 10 bit Value into a Unique Byte

As part of an algorithm I'm writing, I need to find a way to convert a 10-bit word into a unique 8-bit word. The 10-bit word is made up of 5 pairs, where each pair can only ever equal 0, 1 or 2 (never 3). For example:
|00|10|00|01|10|
This value needs to somehow be consolidated into a single, unique byte.
As each pair can never equal 3, there are a wide range of values that this 10-bit word will never represent, which makes me think that it is possible to create an algorithm to perform this conversion. The simplest way to do this would be to use a lookup table, but it seems like a waste of resources to store ~680 values which will only be used once in my program. I've already tried to incorporate one of the pairs into the others somehow, but every attempt I've made has resulted in a non-unique value, and I'm now very quickly running out of ideas!
Any help?
The number you have is essentially base 3. You just need to convert this to base 2.
There are 5 pairs, so 3^5 = 243 numbers. And 8 bits is 2^8 = 256 numbers, so it's possible.
The simplest way to convert between bases is to go to base 10 first.
So, for your example:
00|10|00|01|10
Base 3: 02012
Base 10: 2*3^3 + 1*3^1 + 2*3^0
= 54 + 3 + 2
= 59
Base 2:
59 % 2 = 1
/2 29 % 2 = 1
/2 14 % 2 = 0
/2 7 % 2 = 1
/2 3 % 2 = 1
/2 1 % 2 = 1
So 111011 is your number in binary
This explains the above process in a bit more detail.
Note that once you have 59 above stored in a 1-byte integer, you'll probably already have what you want, thus explicitly converting to base 2 might not be necessary.
What you basically have is a base 3 number and you want to convert this to a single number 0 - 255, luckily 5 digits in ternary (base 3) gives 243 combinations.
What you'll need to do is:
Digit Action
( 1st x 3^4)
+ (2nd x 3^3)
+ (3rd x 3^2)
+ (4th x 3)
+ (5th)
This will give you a number 0 to 242.
You are considering to store some information in a byte. A byte can contain at most 2 ^ 8 = 256 status.
Your status is totally 3 ^ 5 = 243 < 256. That make the transfer possible.
Consider your pairs are ABCDE (each character can be 0, 1 or 2)
You can just calculate A*3^4 + B*3^3 + C*3^2 + D*3 + E as your result. I guarantee the result will be in range 0 -- 255.

Cumulative summation of value in each row

I have something like the following:
a = [1 11; 2 16; 3 9; 4 13; 5 8; 6 14];
b = a;
n = length(a);
Sum = [];
for i=1:1:n,
Sum = b(i,2)+b(i+1:1:n,2)
end
b =
1 11
2 16
3 9
4 13
5 8
6 14
For the first iteration I am looking to find the first combination of values in the second column which are between 19 and 25.
Sum =
27
20
24
19
25
Since 20 is that first combination (Rows 1&3) -- I would like to remove that data at start a new matrix or signify that is the first combination (i.e. place a 1 next to in by creating a third column)
The next step would be to sum the values which are still in the matrix with row 2 value:
Sum =
29
24
30
Then 2&5 would be combined.
However, I would like to allow not only pairs to be combined but also several rows if possible.
Is there something I am overlooking that may simplify this problem?
I don't think you're going to simplify this very much. It's a variation on the knapsack problem, which is NP-hard. The best algorithm to use might depend on the size of your inputs.

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