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To find the term on the top right of the matrix product, just find the dot product of the top row of Matrix A and the right column of Matrix B. Here's how you do it: 2 x (-5) = -10.

To find the term on the top left of the matrix product, start by finding the dot product of the top row of Matrix A and the left column of Matrix B. Here's how you do it: 2 x 4 = 8. 3 x (-3) = -9.

The i th row of matrix W is w i.

Compute the minimum value d min(i) in every row of matrix D i,j).

where v i T is the i th row of matrix V r.

Each row of matrix G is the gradient vector of one of the components of f(x).

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The nonzero rows of matrix V indicate the source locations.

Conversely, the last rows of matrix Z will contain large values.

The number of rows of matrix X P is also n2.

Hence, variation along rows of matrix ({mathbf{X }}) is assumed to be sparse in the Fourier domain.

Therefore, (2i-1) rofs of matrix (H_{i}) are depend on the other rows of (H_{i}) and 2i rows of the matrix (H_{l_{i}}) are depend on the other rows of (H_{l_{i}}).

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