I am having two matrix of size 7*7 and 7*1. Now, i need to compare these two matrix and alter entries in one matrix based on second matrix. Also, during computation, i need to consider first column of matrix A as last column and last row of matrix B as first row. The computation has to begin from second column of matrix A and last row of matrix B and ends with first column of matrix A and sixth row of matrix B. For example, second row second column of matrix A has element 1 and last row of matrix B has element 1, so expected output at matrix C is element 1 in second row of first column. Similarly, sixth row of third column in matrix A is 1 and element 1 is present in second row of matrix B, hence expected output at matrix C is element 1 in sixth row of second column and remaining terms are 0. Element 1 is present in fourth row of first column in matrix A and element 0 is present in sixth row of matrix B and hence, expected output at matric C is element 0 has to be present in fourth row of seventh column. Thank you in advance.
Example:
A=[0 0 0 1 0 0 0
0 1 0 0 0 0 0
0 0 0 0 1 0 0
1 0 0 0 0 0 0
0 0 0 0 0 1 0
0 0 1 0 0 0 0
0 0 0 0 0 0 1]
B=[1; 1; 0; 0; 1; 0; 1]
Expected output:
C=[0 0 1 0 0 0 0
1 0 0 0 0 0 0
0 0 0 0 0 0 0
0 0 0 0 0 0 0
0 0 0 0 0 0 0
0 1 0 0 0 0 0
0 0 0 0 0 1 0]

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Jiri Hajek
Jiri Hajek 2023년 1월 25일
Another student from the same class... See a solution here.
Dyuman Joshi
Dyuman Joshi 2023년 1월 25일
Not another, same.
@ASHA PON, You have asked this type of question quite a few times now, and they all have been answered.
It's time to attempt something, before asking us to do your homework. You have the answers for your reference, in case you need any help.
ASHA PON
ASHA PON 2023년 1월 25일
Thank you. I worked on the problem with small modifications and i got correct answer

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 채택된 답변

Walter Roberson
Walter Roberson 2023년 1월 25일

0 개 추천

circshift()

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ASHA PON
ASHA PON 2023년 1월 25일
Thank you Walter Roberson. I used this command and obtained output.

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도움말 센터File Exchange에서 Resizing and Reshaping Matrices에 대해 자세히 알아보기

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