Problem 55480. Array Concatenation (1)
Given two matrices, a and b, concatenate the two matrices horizontally, i.e., the number of columns of the result should be equal to the sum of the number of columns of matrix a and matrix b. Assume both matrices a and b have the the same number of rows and the result will also have the same number of rows.
For example, if
The result should be ![](data:image/jpeg;base64,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)
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Sum of diagonal of a square matrix
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