The transpose of matrix A is a new matrix A = transpose(A) where the rows of...

 

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The transpose of matrix A is a new matrix A = transpose(A) where the rows of A are the columns of A and the columns of A are the rows of A. The matrix A does not need to be a square matrix. For example, the transpose of the matrix A defined below is: A 1 2 3 4 5 6 7 8 9 10 11 12 transpose(A) = Write a function called transpose that will return a new matrix with the transpose matrix. The original matrix must not be modified. See the usage for examples of how transpose works. Example usage of transpose: >> m5 =[[1, 2, 3, 4], [5, 6, 7, 8]] >>> m6 = [[1, 2, 3, 4]] >>> transpose (m6) [[1], [2], [3], [4]] >>> m7 = [[1, 2], [3, 4], [5, 6]] >>> transpose (m5) [[1, 5], [2, 6], [3, 7], [4, 8]] >>> transpose (m7) >>>[[1, 3, 5], [2, 4, 6]] 1 4 7 10] 2 5 8 11 3 6 9 12 The transpose of matrix A is a new matrix A = transpose(A) where the rows of A are the columns of A and the columns of A are the rows of A. The matrix A does not need to be a square matrix. For example, the transpose of the matrix A defined below is: A 1 2 3 4 5 6 7 8 9 10 11 12 transpose(A) = Write a function called transpose that will return a new matrix with the transpose matrix. The original matrix must not be modified. See the usage for examples of how transpose works. Example usage of transpose: >> m5 =[[1, 2, 3, 4], [5, 6, 7, 8]] >>> m6 = [[1, 2, 3, 4]] >>> transpose (m6) [[1], [2], [3], [4]] >>> m7 = [[1, 2], [3, 4], [5, 6]] >>> transpose (m5) [[1, 5], [2, 6], [3, 7], [4, 8]] >>> transpose (m7) >>>[[1, 3, 5], [2, 4, 6]] 1 4 7 10] 2 5 8 11 3 6 9 12

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def transposemat Function that takes a list of lists representing the m... View the full answer