Solve Large Sorted Matrix in MATLAB

In summary, the conversation discusses the problem of removing values from a sorted matrix in order to balance the number of entries that are greater than one with the number of entries that are equal to or less than one. The suggested solution is to sum the numbers of each type (A and B) and then remove the last entries until the numbers are balanced. This algorithm can be implemented in MATLAB.
  • #1
hoffmann
70
0
I have restated my question even further:

Suppose I have a sorted matrix:

[ 0 0 0 1 1 1 1 3 3 3 5 6 7 8 9 9 ]

I need to remove the last value in the matrix until the number of entries that are greater than one equal the number of entries that are either 0 or 1. For the example given above, there are 16 entries. Nine entries are greater than 1 and 7 entries are less than or equal to one. I would need to remove the last two entries such that the number of entries that are greater than one equal the number of entries that are either 0 or 1.

What if I have a much larger set of values? How do code this in MATLAB?

Thanks!
 
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  • #2
I think the algorithm's can be like this:
  1. sum the numbers of type A and type B in your string, for example, type A means if x<=1,and type B means if x>1, and after that, we get the number of A(NoA) and number of B(NoA) in your string.
  2. move the pointer from the last entry,and remove these last entries, and caculate the remaining number of A(RoA) and number of B(RoB), you know, it's very simple to get the number of A and B you removed.
  3. Each time, you remove the last entry and check if RA==RB, then you get the solution.

I hope you can understand my algorithm.
 
  • #3


I would approach this problem by first understanding the logic behind the desired outcome. In this case, we want to remove the last values in the matrix until the number of entries greater than 1 equals the number of entries that are either 0 or 1. This can also be rephrased as wanting the number of entries greater than 1 to be equal to half of the total number of entries in the matrix.

To solve this problem in MATLAB, we can use a combination of logical indexing and the built-in function "sum". First, we can create a logical index for the entries in the matrix greater than 1 by using the ">" operator. This will return a matrix of 1s and 0s, with 1s representing entries greater than 1. We can then use the "sum" function to count the number of 1s in this logical index.

Next, we can compare this number to half of the total number of entries in the matrix using the "==" operator. If the number of 1s is greater than half of the total number of entries, we can remove the last value in the matrix using the "end" keyword and re-run the count and comparison process. This can be done in a while loop until the condition is met.

The code might look something like this:

% given sorted matrix
A = [0 0 0 1 1 1 1 3 3 3 5 6 7 8 9 9];

% initialize logical index for values greater than 1
greater_than_1 = A > 1;

% count number of entries greater than 1
num_greater_than_1 = sum(greater_than_1);

% compare to half of total number of entries
while num_greater_than_1 > numel(A)/2
% remove last value in matrix
A(end) = [];
% re-calculate number of entries greater than 1
num_greater_than_1 = sum(greater_than_1);
end

% final matrix after removing values
disp(A)

This code can be easily adapted to work for larger matrices by simply changing the initial matrix and adjusting the comparison criteria. Overall, the key is to understand the problem and break it down into smaller logical steps that can be implemented in MATLAB.
 

FAQ: Solve Large Sorted Matrix in MATLAB

How can I efficiently solve a large sorted matrix in MATLAB?

In order to efficiently solve a large sorted matrix in MATLAB, you can use the built-in function eig to calculate the eigenvalues and eigenvectors of the matrix. This will give you the solutions to the matrix without having to manually solve for each element.

Is there a specific method or algorithm for solving large sorted matrices in MATLAB?

Yes, there are several methods and algorithms that can be used to solve large sorted matrices in MATLAB. Some common ones include the eig function, the svd function, and the qr function. Depending on the size and complexity of the matrix, certain methods may be more efficient than others.

Can I use the same code to solve smaller sorted matrices in MATLAB?

Yes, the same code can be used to solve smaller sorted matrices in MATLAB. However, for smaller matrices, it may be more efficient to use simpler methods such as inv or det functions instead of more complex functions like eig or svd.

How do I know if my large sorted matrix has multiple solutions?

If your large sorted matrix has multiple solutions, the eig function will return multiple eigenvalues and eigenvectors. You can also check for multiple solutions by looking at the matrix's rank. If the rank is less than the dimension of the matrix, there are multiple solutions.

Are there any limitations to solving large sorted matrices in MATLAB?

There are some limitations to consider when solving large sorted matrices in MATLAB. The main limitation is the size and complexity of the matrix. MATLAB has a limit on the size of matrices it can handle, and if the matrix is too large, it may cause memory issues or slow down the computation. Additionally, certain methods may not be suitable for extremely large or complex matrices.

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